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How Expanding the Information Technology Agreement to an “ITA-3” Would Bolster Nations’ Economic Growth

September 11, 2023

Completing a second expansion of the Information Technology Agreement (an “ITA-3”) could bring more than 400 unique ICT products under the ITA’s tariff-eliminating framework, which would add more than $750 billion to the global economy over 10 years.

KEY TAKEAWAYS

Expanding the ITA could bring products such as 3D printers, industrial robots, commercial-use drones, patient monitoring systems and other medical devices, lithium-ion batteries, solar cells, and high-definition televisions into the agreement.
If the 82 signatories of the original ITA were to join an expanded ITA-3, the global economy would grow by nearly $766 billion over the ensuing 10 years.
India, Kenya, Pakistan, and Nigeria would enjoy the largest relative GDP growth over 10 years—2.5 percent, 2.3 percent, 2 percent, and 1.7 percent, respectively—though all 22 countries studied would realize larger economies over that time span.
An ITA-3 expansion could help grow U.S. GDP by $208 billion over a decade, increase U.S. exports of ICT products by $2.8 billion, and help create almost 60,000 U.S. jobs.
For most countries, the expanded economic growth from an ITA-3 would produce more tax revenue over 10 years than would be forgone in tariff revenue.
Expanding the ITA now would come at an important moment. The increased focus on diversification and resiliency of global ICT supply chains provides a major opening for new developing-country suppliers to begin producing and exporting ICT products.
Countries not participating in the ITA saw their participation in global ICT value chains decline by more than 60 percent from 1995 to 2009.

Key Takeaways

Contents

Key Takeaways. 1

Executive Summary. 2

Introduction. 5

How ICT Drives Economic Growth. 9

How ITA Participation Benefits Countries. 12

The Logic for Bringing Additional ICT Goods Under ITA-3 Coverage. 18

The Economic Impact of a Proposed ITA-3 Expansion. 26

The Impact of ITA-3 Expansion for the United States. 50

Conclusion. 51

Appendix A: List of Countries by Current ITA Membership. 52

Appendix B: Growth-Revenue Estimates Methodology. 53

Appendix C: ITA Product Codes. 55

Endnotes. 60

Executive Summary

The Information Technology Agreement (ITA) has been one of the World Trade Organization’s (WTO’s) most successful plurilateral trade agreements. Originally signed in 1996 and to which 82 countries are now signatories, it eliminates tariffs on trade in hundreds of ICT products. In 2015, 53 countries joined together in completing (and implementing in 2016) an ITA expansion (ITA-2) that eliminated tariffs on an additional $1.3 trillion in annual global trade in 201 ICT parts, components, and final products.[1] By eliminating tariffs on trade across hundreds of ICT products, the ITA has played an indispensable role in creating “zero-in/zero-out” tariff environments that have fostered the development and diversification of ICT global value chains (GVCs), helping bring developing economies previously locked out by their prohibitively high tariffs on ICT parts, components, and equipment and undeveloped telecommunications networks into GVCs for ICT goods production and assembly. Moreover, by reducing prices through tariff elimination, the ITA has facilitated greater adoption of the ICT products that lie at the core of the global digital economy and power the downstream innovative and competitive capacity of every household, enterprise, and industry that deploys them. This ITA-engendered increase in nations’ ICT capital stock leads directly to greater economic growth and innovation in developed and developing nations alike.

Yet, technologies continue to evolve, and now ICT is found at the core of an ever-increasing range of products, from energy-efficient green technologies, such as storage batteries, to personal fitness monitors to the industrial robots and 3D printers that are driving the global smart-manufacturing revolution. As such, an initial group of companies has come together to identify more than 300 additional ICT six-digit product codes under the Harmonized Commodity Description and Coding System, including over 400 unique ICT products, as candidates for potential ITA inclusion.

This report examines the economic and tariff revenue impacts such an “ITA-3” would have for the European Union and 21 nations: Argentina, Brazil, Cambodia, Canada, China, Costa Rica, India, Indonesia, Japan, Kenya, Lao PDR, Malaysia, Mexico, Nigeria, Pakistan, South Korea, Taiwan, Thailand, the United States, the United Kingdom, and Vietnam.[2] An ITA-3 would include products such as high-definition televisions; energy-efficient technologies such as storage batteries, solar cells, and LED “light sources”; digital manufacturing technologies such as industrial robots and 3D printers; commercial-use drones; and certain medical technologies and devices, such as patient monitoring systems; and semiconductor manufacturing parts and supplies.

The analysis finds that ITA-3 accession would generate tangible economic growth for all nations assessed, and that for many nations, tax revenues generated from enhanced economic growth would more than make up for tariff revenues forgone. A further liberalization of tariffs for the rapidly expanding universe of ICT technologies would also advance the diversification and resiliency of global supply chains, bring more developing economies into the global technology ecosystem, raise household incomes, and support a continued expansion of global technology jobs worldwide. This report begins with an overview of the ITA and global trade in ICT products before moving on to examine how ICT drives economic growth, articulating the logic behind bringing the proposed ICT products into an ITA-3 and then turning to an analysis of the economic impact of ITA-3 accession for the study countries.

Key Findings

Participation in the ITA provides an impetus for countries to reduce tariffs, thereby lowering the prices for, and expanding the consumption of, productivity-enhancing ICT, while deepening countries’ participation in GVCs for the production of ICT goods and services. Moreover, joining the ITA can engender faster economic growth and higher living standards because it gives businesses and individuals access to more-affordable and higher-quality ICT, which is the modern global economy’s chief driver of productivity, innovation, high-wage employment, and economic growth. Moreover, as the world now enters an era of reshaping the structure of technology GVCs, countries that wish to capture a greater share of tech GVC participation need to ensure a competitive tariff and e-commerce customs duty environment that facilitates the cross-border movement of ICT goods and services.

An ITA-3 expansion could help grow U.S. GDP by $208 billion over a decade, increase U.S. exports of ICT products by $2.8 billion, and support the creation of almost 60,000 new U.S. jobs.

ITA accession, by lowering tariffs on and thus the prices of ICT goods, bolsters countries’ levels of ICT goods consumption and capital stock, the productivity- and innovation-expanding power thereof which in turn drives increased economic and employment growth. Leveraging these dynamics, the Information Technology and Innovation Foundation (ITIF) finds that the proposed ITA-3 expansion would generate positive economic impacts by the 10th year post ITA-3 expansion for all 21 study countries and the European Union. In percentage terms, ITIF finds that India, Kenya, Pakistan, and Nigeria would enjoy the largest economic growth in the 10th year post ITA-3 accession, with cumulative economic growth over that 10-year period equivalent to 2.5 percent of Indian, 2.3 percent of Kenyan, 2 percent of Pakistani, and 1.7 percent of Nigerian gross domestic product (GDP), respectively. (See table 1.)

Table 1: Summary of economic and revenue impacts over 10 years post ITA-3 accession

Country

Cumulative 10-Year GDP Growth From ITA-3 Expansion (Billions)

Cumulative 10-Year GDP Growth From ITA-3 Expansion

Income Tax Revenue Gained (Millions)

Revenue Gained as a Share of Revenue Forgone

Argentina

$10.0

1.67%

$542.6

245%

Brazil

$31.8

1.57%

$2,241.3

181%

Cambodia

$0.3

0.70%

$14.8

35%

Canada

$4.7

0.24%

$796.5

304%

China

$147.3

0.52%

$7,911.9

190%

Costa Rica

$0.4

0.42%

$16.5

72%

EU 27

$28.7

0.16%

$3,417.5

239%

India

$101.2

2.50%

$7,795.4

192%

Indonesia

$5.7

0.38%

$218.6

108%

Japan

$12.2

0.28%

$1,234.3

241%

Kenya

$3.2

2.30%

$219.2

249%

Lao PDR

$0.2

0.58%

$3.4

43%

Malaysia

$0.3

0.08%

$26.2

58%

Mexico

$2.7

0.22%

$201.7

44%

Nigeria

$10.3

1.73%

$280.0

129%

Pakistan

$10.8

1.99%

$336.3

99%

South Korea

$7.9

0.37%

$678.6

101%

Taiwan

$10.2

0.93%

$786.6

75%

Thailand

$5.5

1.11%

$313.8

35%

United States

$208.0

0.82%

$24,355.6

288%

United Kingdom

$8.6

0.27%

$983.3

299%

Vietnam

$2.0

0.35%

$117.6

23%

Moreover, if all 82 ITA-1 signatory countries were to join the proposed ITA-3, global GDP could cumulatively grow by $766 billion over the ensuing 10 years. In absolute terms, the United States would be the biggest beneficiary, followed by China. ITA-3 expansion would be poised to deliver a cumulative $208 billion in U.S. GDP growth over 10 years, equivalent to 0.82 percent greater U.S. GDP growth than would otherwise be expected. Moreover, ITIF finds that ITA-3 expansion would increase U.S. exports of ICT products by $2.8 billion, boost revenues of U.S. ICT firms by $6.9 billion, and support the creation of almost 60,000 new U.S. jobs. China’s economy would cumulatively grow by 0.52 percent to be approximately $147 billion greater than would otherwise be the case as a result of ITA-3 expansion. The economic growth generated by an ITA-3 expansion would produce tax income that, for at least 12 study countries and the European Union, would well exceed tariff revenues forgone, and for four more countries would fill more than 50 percent of the revenue gaps 10 years post ITA-3 accession.

For countries contemplating participation in ITA-1, ITA-2, ITA-3, or all three, the time to move is now, as major economies are looking to diversify their sourcing and supply chains in order to promote greater supply chain resilience, security, and sustainability. As a result, large technology and industrial companies are taking a fresh look at potential suppliers and locations for production and assembly, creating an opportunity for new suppliers and economies to break into technology GVCs.

Conversely, countries declining to join ITA-1 and ITA-2, or neglecting to participate in an ITA-3, risk experiencing a technologically deficient economy, reduced productivity, and exclusion from global technology supply chains. Nonparticipation in the ITA also limits an economy’s ability to partake in the expanding universe of industrial products that incorporate semiconductors and other advanced technologies and from participating in the development and provision of services-based products that are delivered cross-border using the Internet and which require efficient telecommunications networks. Ultimately, refraining from ITA participation reduces countries’ wage growth and opportunity because a technologically deficient workforce cannot be in a position to participate effectively in the advanced global technology supply chains that pay higher wages and demand greater technology training and skills.

Finally, the two iterations of the ITA—by promoting the diffusion and availability of productivity- and innovation-enhancing ICT goods—have empowered workers globally by giving them greater opportunities to work remotely (reducing commutes and commuting times); affording greater access to information regarding employment opportunities; expanding educational and training opportunities; creating opportunities to perform remote gig, consulting, and free-lance work; and expanding the potential to provide their services internationally across borders. Labor markets for many types of services (e.g., information technology, educational services, consulting, health care, finance, etc.) are much less constrained by national or international borders today and often don’t require geographic proximity to a physical workplace, but can now be performed remotely over the Internet. All of this increases employment opportunities and employee bargaining power, wages, work-life balance, and ultimately worker satisfaction and fulfillment.

Introduction

In December 1996, 29 WTO member nations launched the ITA, a novel trade agreement in which participating nations eliminated tariffs on eight broad categories of ICT products (e.g., semiconductors, computers, telecommunications equipment, etc.). The ITA-1 now counts as signatories 82 nations, with these nations collectively accounting for approximately 97 percent of global trade in ITA-covered goods.. Countries that have thus far neglected to join the ITA have missed out on tremendous growth opportunities. First, countries not joining the ITA harm themselves by retaining tariffs that add to the cost of key productivity- and innovation-enhancing ICT products, thus constraining their consumption and adoption. Second, those tariffs only serve to diminish the competitiveness of countries’ goods that depend on intermediate ICT inputs. Third, countries not participating in the ITA have seen their participation in GVCs for the production of ICT goods plummet since the ITA was introduced, in large part because of the higher cost they face in the manufacturing and assembly of key parts, components, and delivery systems when they’re subject to tariffs. In total, the evidence shows that ITA accession has been beneficial for both countries’ domestic industries and their broader economies.

In 2012, owing to the tremendous success of the original ITA, member nations initiated negotiations toward expanding the ITA to add innovative ICT products commercialized since 1996 as well as certain categories of ICT goods not included in the original agreement. ITA-expansion negotiations concluded in December 2015, and additional tariff eliminations began on July 1, 2016.[3] The expansion, which the WTO estimated would eliminate tariffs on an additional $1.3 trillion in annual global trade of ICT parts and products, represented the first major tariff-cutting deal completed at the WTO in 19 years.[4] The ITA-2 has produced annual global tariff savings of at least $13.8 billion.[5]

Digital technologies are increasingly powering the global economy. For instance, analysts at Oxford Economics estimated that by 2016 the digital economy already accounted for 22.5 percent of global GDP.[6] Analysts at the research firm IDC estimated that as much as 60 percent of global GDP was digitized (meaning largely impacted by the introduction of digital tools) already by 2022.[7] That aligns with estimates that as much as half of all value created in the global economy over the next decade will be created digitally.[8] And while certainly the digitalization of the global economy has brought entirely new industries, services, and enterprises to the fore—web search, social media, artificial intelligence (AI), cloud, etc.—at least 75 percent of the value of data flows over the Internet actually accrues to traditional industries such as agriculture, manufacturing, finance, hospitality, and transportation.[9]

Moreover, it’s important to remember that the entire global digital economy is underpinned by ICT goods—semiconductors, servers, routers, computers, smartphones, tablets, etc.—that fundamentally power it. And by helping to reduce the price of ICT goods by eliminating tariffs on them, the ITA has played an enormous role in the growth of global production and trade in the very ICT products powering the global digital economy. For instance, the U.S. Bureau of Labor Statistics has estimated that the U.S. consumer price index for “personal computers and peripheral equipment declined 96 percent” between 1997 and 2015.[10] And while certainly Moore’s Law (i.e., semiconductors’ capabilities doubling as their costs halve) and other technological innovations have played a key role here, ITA-inspired tariff reductions and the evolution of efficient ICT GVCs certainly contributed as well.

It’s important to remember that the entire global digital economy is underpinned by the ICT goods—semiconductors, servers, routers, computers, smartphones, tablets, etc.—that fundamentally power it.

Indeed, global two-way trade in ICT products has grown more than threefold since the ITA entered force in 1997, increasing from $1.4 trillion in 1997 to $5.31 trillion in 2022. (See figure 1.) Further, global two-way trade in ICT products increased 46 percent since the 2016 ITA expansion.[11] While global imports of ICT products did decrease 3 percent from 2018 to 2019, and decreased again with the start of the COVID-19 pandemic, ICT trade grew 19.6 percent from 2020 to 2021, meaning trade in digital technologies has rebounded since the COVID-19 pandemic as businesses relying on these technologies reopened and workplace restrictions drove sales of personal computers, smartphones, and other technologies to support remote work. In fact, sales for semiconductors, a foundational technology enabling all other ICT products, grew in 2020 and another 26.2 percent in 2021 due in large measure to the added demand for ICT products engendered by the rebound since the pandemic and the global chip shortage.[12]

Figure 1: Value of two-way global trade in ICT products, 1996–2022[13]

image

Recognizing that ICT continues to evolve and underpin a much greater range of products—from medical devices and industrial robots to drones and energy-efficient technologies—than they did a decade ago, an initial group of companies has come together to propose an ITA-3 that would bring products included within more than 300 additional six-digit HS2017 product codes under ITA coverage (this would include well over 400 unique ICT products). An ITA-3 would ensure that new technological versions of ICT goods are included: for instance, printers were included in the original ITA, but between the ITA-2 and ITA-3 the full slate of modern 3D (additive manufacturing) printers were not covered. Similarly, just as the ITA-2 included next-generation multi-component semiconductors (MCOs) that were not part of the original ITA, an ITA-3 would include semiconductor-based transducers and other next-generation semiconductor technologies.[14] The ICT products being proposed for ITA-3 inclusion are concentrated in the following categories: semiconductor manufacturing, smart appliances and robots, numerically controlled machines, energy efficiency and storage devices, drones, instruments and sensors, and medical equipment. (See figure 2.) Subsequent sections of this report articulate the rationale for including these ICT products in an ITA-3 expansion and evaluate the economic impacts of the proposed expansion on the 22 aforementioned countries/regions. But first, the report briefly turns to exploring how ICT drives economic growth and to explaining why ITA membership is beneficial for developed and developing countries alike.

Figure 2: Counts of proposed ITA-3 products by ICT category[15]

image

By trade value at the aggregated six-digit HS-code level, the top 10 product lines being proposed for ITA-3 inclusion feature the following:

Boards, panels, consoles, etc. with electrical apparatus, for electric control or distribution of electricity, for a voltage not exceeding 1,000 volts (HS 853710)

Lithium-ion batteries (HS 850760)

Optical devices, appliances, and instruments (HS 901380)

Reception apparatus for television, color (HS 852872)

Instruments and appliances for medical, surgical, or veterinary sciences; and parts and accessories thereof (HS 901890)

Machines and mechanical appliances having individual functions (HS 847989)

Electrical machines and apparatuses, having individual functions (HS 854370)

Electrical conductors, for a voltage not exceeding 1000 v, fitted with connectors (HS 854442)

Medical etc., needles, catheters, cannulae and the like; parts and accessories thereof (HS 901839)

Parts for electrical apparatus for electrical circuits, boards, panels etc. for electric control or distribution of electricity (HS 853890)

How ICT Drives Economic Growth

Increasing productivity—that is, economic output per unit of input, whether that input is capital, labor, data, or technology—is the principal way economies grow over time.[16] Those productivity gains can come from all enterprises and workers in a country (e.g., banks, farms, manufacturers) becoming more productive or from countries shifting the mix of enterprises in their economy (e.g., replacing lower-value-added sectors with higher-value-added ones, such as call centers with ICT services providers).[17] While both mechanisms are important, as the McKinsey Global Institute (MGI) found in its report “How to Compete and Grow: A Sector Guide to Policy,” the overwhelming source of a country’s productivity growth, and thus economic growth, comes from bolstering the productivity of all the enterprises, workers, and industries that already predominantly comprise an economy.[18]

The vast majority of the economic benefits generated from ICT, especially in developing countries, stem from greater adoption of ICT across an economy.

And the principal way economies can increase their productivity arises from leveraging the power of ICT. ICT involves such powerful tools precisely because it represents a general-purpose technology that enhances the productivity and innovative capacity of every individual, enterprise, and industry it touches throughout an economy—something that holds true for both developed and developing countries alike.

Indeed, ICT represents “super capital” that has a much larger impact on productivity than do other forms of capital. As research performed by Oxford Economics confirms, ICT generates a bigger return to productivity growth than do most other forms of capital investment.[19] For instance, ICT capital has a three to seven times greater impact on firm productivity than does non-ICT capital. ICT workers also contribute three to five times more productivity than non-ICT workers do.[20] In their report, “The Impact of ICT on East Asian Economic Growth,” Ahmed and Ridzuan elucidate upon this dynamic, writing, “The ICT revolution has contributed significantly to the whole economy by raising productivity. First, ICT increases labor productivity in ICT-using industries by making labor produce more or work more efficiently. Second, ICT makes physical capital become more productive.”[21] As a result, revenue collection by nations that “tax” this ICT “super capital” through tariffs and other means is particularly damaging.

It’s vital to emphasize that the central way ICT drives a country’s economic growth is not through the production of ICT goods (e.g., the manufacturing of computers or smartphones). Rather, the vast majority of the economic benefits generated from ICT, especially in developing countries, stems from greater adoption of ICT across an economy.[22] Ultimately, ICTs’ productivity- and innovation-enabling benefits at the individual, firm, and industry levels aggregate to drive productivity and economic growth at an economy level.[23]

This explains why multiple academic studies find strong linkages between ICT consumption (i.e., usage) and economic growth. For example, a December 2010 World Bank report, “Kenya Economic Update,” finds that “ICT has been the main driver of Kenya’s economic growth over the last decade.”[24] Specifically, the report finds that ICTs were responsible for roughly one-quarter of Kenya’s GDP growth during the 2000s. Moreover, ICTs’ contribution to Kenyan economic growth only grew over time, with the ICT sector providing a more than six-times-greater contribution to Kenyan GDP in 2009 compared with 1999.[25] Similarly, ICT accounted for 38 percent of Chinese total factor productivity (TFP) growth and as much as 21 percent of Chinese GDP growth from 1980 to 2001.[26] Likewise, Ahmed and Ridzuan further found “a positive contribution of ICT to economic growth” across eight East Asian countries: China, Japan, Korea, Indonesia, Malaysia, Philippines, Singapore, and Thailand.[27] As Richard Heeks, professor of development informatics at the University of Manchester estimated, “ICTs will have contributed something like one-quarter of GDP growth in many developing countries during the first decade of the 21st century.”[28]

Figure 3: Impact of a 10 percent increase in key ICT penetration on annual percent GDP growth[29]

image

Indeed, as Farhadi, Ismail, and Fooladi wrote in their report, “Information and Communication Technology Use and Economic Growth,” “The more a country use[s] ICT, the greater is its economic growth.”[30] The authors found that if countries improve their score on the “ICT Use Index” (which measures a country’s number of Internet users, fixed broadband Internet subscribers, and mobile-phone subscriptions per 100 inhabitants), then their economic growth increases by 0.17 percent.[31] The World Bank has likewise documented this effect, finding that a 10 percent increase in high-speed broadband Internet penetration adds 1.38 percent to annual per capita GDP growth in developing countries. Likewise, a 10 percent increase in mobile-phone penetration adds 0.81 percent to annual per capita GDP growth in developing countries.[32] (See figure 3.)

That research has been corroborated by a study by Czernich et al. which analyzes the effects of broadband infrastructure on economic growth for 25 Organization for Economic Cooperation and Development (OECD) countries from 1996 to 2007 and finds that a 10 percent increase in a country’s broadband penetration rate drives annual GDP per capita growth of 0.9 to 1.5 percent.[33] More recently, studies have found that a 10 percent increase in mobile-device penetration increases productivity by 4.2 percentage points.[34]

Developing nations’ investments in telecommunications infrastructure are 10 to 40 percent more effective in generating economic growth than are similar investments made by developed countries.

Indeed, evidence that an expanding base of ICT capital stock powers countries’ economic growth increasingly comes from all quarters of the world.[35] For the Middle East, Nasab and Aghaei investigated the impact of ICT investments on economic growth in seven Organization of the Petroleum Exporting Countries (OPEC) nations from 1990 to 2007, finding that ICT “has a significant positive impact on economic growth in the sampled countries,” and underlining the need for countries to adopt proactive policies to encourage ICT investments to boost economic growth.[36] Veeramacheneni, Ekanayake, and Vogel analyzed 10 Latin American countries from 1975 to 2003 seeking a causal relationship between ICT and economic growth and found a two-way causality between ICT and economic growth in two-thirds of the countries and, moreover, that ICT contributed to economic growth in 8 of the 10 countries included in the sample.[37] Zagorchev, Vasconcellos, and Bae, in a study of eight Central and Eastern European countries from 1997 to 2004, found that financial development and increased investment in telecommunications technology contributed significantly to GDP growth per capita.[38] Toader et al. analyzed the effect of using ICT infrastructure on economic growth in European Union countries over 18 years from 2000 to 2017 and found that an increase of 1 percent in the use of ICT infrastructure contributed to GDP per capita growth of between 0.0767 percent (fixed-broadband subscriptions) and 0.396 percent (mobile cell subscriptions).[39] On average, a 1 percent increase in ICT capital stock leads to a 0.06 percent increase in a country’s GDP. This elasticity is crucial in modeling GDP growth associated with countries joining the ITA.

The Latest Evidence Regarding the Economic Growth Impacts From ICT

Despite this impressive body of evidence documenting the powerful impact of ICT on economic growth, some skeptics have questioned the extent to which ICT adoption can increase economic growth in developing nations, arguing that developing countries may lack human capital, governance, or other ICT-complementary factors or that their labor-to-capital cost ratio is too low, making it less economical to add ICT capital.[40] And some research conducted during the late 1990s and early 2000s did appear to suggest as much, or at least that ICTs’ benefits were greater for developed economies. For instance, in 2004, economist Khuong Vu, in analyzing economic growth data between 1990 and 2000, suggested that “the results indicate that ICT plays a more important role in determining the output growth for the developed economies than for the developing ones.”[41] Similarly, Ayoub Yousefi investigated whether ICT contributed to economic growth across 62 countries with different levels of development from 2000 to 2006, finding that ICT exerted a greater impact on GDP growth in upper-middle-income countries than in lower-income countries.[42]

However, while it may have been the case that, in earlier decades, developed countries realized higher rates of return from ICT investments than did developing countries, that is clearly no longer the case. Analyzing ICT investments and economic growth from 1995 to 2010 for 59 countries across various stages of development, economist Thomas Niebel concluded that “the regressions for the subsamples of developing, emerging, and developed countries do not reveal a statistically significant difference of the output elasticity of ICT between these three country groups.”[43] Niebel’s estimates indicate that, on average, regardless of a country’s development status, a 1 percent increase in ICT investment increases economic growth by 0.05 to 0.09 percent annually.[44] Similarly, Majeed and Ayub explored how different ICT indicators influenced economic growth in 149 countries from 1980 to 2015, with the empirical results suggesting the use of ICT infrastructure had a positive and significant impact on economic growth.[45]

An increase in a nation’s ICT capital stock of 1 percent leads to a 0.06 percent increase in a country’s GDP.

And, in fact, it appears that ICT investments now generate higher returns than ever before. In analyzing 29 economic studies that isolate the rate of returns to ICT investment, Cardona, Kretschmer, and Strobel revealed that “ordering the studies by their average year of the data used for the estimation, we find a positive time trend.”[46] Further evidence supports the contention that, going forward, developing countries stand to gain even more from adopting greater levels of ICT than do developed countries. For example, as the European Commission found, developing nations’ investments in telecommunications infrastructure are 10 to 40 percent more effective in generating economic growth than are similar investments made by developed countries.[47] This may be because cell phone structures are cheaper and easier to install than landline infrastructure, and thus offer workers in developing countries with underdeveloped landline communications systems opportunities to perform services that can be delivered domestically or internationally over the Internet. And of course digital technologies enable better dissemination of job opportunities and create a wide range of gig work opportunities.

Put simply, a growing body of evidence documents the positive effects ICT has on economic growth, for both developed and developing countries. Summarizing 58 empirical studies estimating the economic impact of ICT, Stanley, Doucouliagos, and Steel found that “on average, these technologies have contributed positively to growth.”[48] In terms of the magnitude to which ICT spurs economic growth, a review of econometric literature by Cardona, Kretschmer, and Strobel finds that, on average, an increase in ICT capital stock of 1 percent leads to a 0.06 percent increase in a country’s GDP.[49]

How ITA Participation Benefits Countries

The ITA has benefitted participating—and especially developing—countries considerably.[50] In 2010, developing countries accounted for 64 percent of global exports of ICT products.[51] As Xiaobing Tang, a counsellor in the Market Access Division of the WTO, noted, the experiences of Association of Southeast Asian Nations (ASEAN) such as Malaysia and Thailand “show that the ITA has helped their development and economic growth.”[52] ITA participation benefits countries in three principal ways, by 1) lowering costs for and thus spurring adoption of productivity-enhancing ICT, which boosts the productivity, innovative, and competitive capacity of a country’s enterprises and industries (which further creates new job opportunities); 2) deepening countries’ participation in GVCs for the production of ICT goods and services; and 3) promoting technology education and training and a technologically literate work force. In total, these forces can greatly bolster countries’ broader global trade participation.

Deepening Countries’ Participation in ICT GVCs

GVCs represent an increasingly important feature of international trade. In fact, 85 percent of global trade can now be characterized as occurring within the GVC framework.[53] Keeping ICT prices low is paramount if countries wish to participate in GVCs for the production of ICT parts, components, and final products. In contrast, maintaining high ICT tariffs (in part, by not joining the ITA) harms both countries’ ICT-producing and ICT-consuming sectors.[54] In particular, failure to join the ITA has caused nations to be left out of global production networks for ICT products (and services), causing them to miss out on significant growth opportunities.

To elaborate, in the 1970s, and with renewed interest over the past 15 years, countries such as Argentina, Brazil, and India have experimented with import substitution industrialization policies that impose high tariffs (among other trade barriers) on imported ICT products in an effort to spur development of their own nascent ICT-producing industries. Yet, in the interest of favoring one sector (ICT producers), these policies have had the unintended effect of harming the entire economy, as enterprises (large and small alike) in other industries—from finance and education to hospitality, health, and retail—are forced to use fewer, inferior, or more-expensive ICT products, thus hampering their own productivity, innovation potential, and global competitiveness. What’s worse, high tariffs have proven largely ineffective at achieving these countries’ aim of spurring the development of indigenous ICT-producing sectors that require access to global supply chains.

Indeed, it would be prohibitively expensive for even the most-advanced economies, such as the United States or the EU block, to seek to build wholly indigenous supply chains for most ITA products. For example, a recent study by the Boston Consulting Group for the Semiconductor Industry Association estimates that it would take an additional $1 trillion in government subsidies to localize semiconductor supply chains in the United States, resulting in a 35 to 65 percent overall increase in semiconductor prices and ultimately higher costs of electronic devices for end users.[55]

If an indigenous supply chain is unrealistic for an advanced economy such as the United States, it’s even more unrealistic for developing economies (even large ones), since their markets are still far too small to support wholly indigenous domestic production dedicated only to an internal market. In the semiconductor sector, for example, the leading Chinese, European, Korean, Japanese, Taiwanese, and U.S. chip companies are focused on global markets that are necessary to support the scale of production and massive investments required to bolster development and production of cutting-edge chip technologies. Given the higher costs of indigenous production, a localized industry is unlikely to be able to access global markets because of higher costs and substandard technologies. By being shielded from best-of-breed international competitors, domestic firms lack access to a vital impetus for innovation that competition engenders as well as access to key parts, components, and technical expertise. For instance, small business owners in Argentina have complained about the country’s high ICT tariffs, noting that “the lack of competition gives manufacturers an incentive to produce low-quality products and charge high prices.”[56] These effects flow throughout an economy, limiting access to global markets by contributing to the production of substandard goods, particularly ones that increasingly demand that local producers incorporate advanced technologies, (e.g., washing machines, kitchen appliances, motor vehicles, medical equipment, etc.).

Further, high ICT tariffs have precluded many ICT-producing enterprises from effectively participating in GVCs for the production of ICT goods. Because of the interlinkage of global supply chains, manufacturers scour the globe searching for the highest-quality and most cost-competitive production locations. This means global production networks consist of highly fragmented but specialized units of production, predicated on countries being open to trade. To illustrate, in 1962, intermediate goods accounted for 30 percent of total trade within the same industry globally—a percentage that doubled to 60 percent by 2006.[57] (A 2020 United Nations Conference on Trade and Development report estimates that intermediate products represented approximately half of world trade in goods, just under $8 trillion, in 2019).[58] Deficient communications networks limit an economy’s ability to participate in global services trade, as an increasing range of services (e.g., software, accounting, law, semiconductor design, help desks, etc.) are being delivered over the Internet. For example, modern software and semiconductor design development is a 24/7 endeavor as teams around the world collaborate on projects.

Failure to join the ITA has caused nations to be left out of global production networks for ICT products, causing them to miss out on significant growth opportunities.

Put simply, countries imposing high tariffs on ICT parts and products only make themselves unattractive to multinational enterprises wishing to seamlessly integrate into global production networks. This explains why OECD has found that countries not participating in the ITA saw their participation in global ICT value chains decline by more than 60 percent from 1995 (two years before the ITA went into effect) to 2009.[59] (See figure 4.)

Figure 4: Participation in global ICT value chains, indexed as a share of gross ICT exports[60]

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In contrast, countries participating in the ITA saw their participation rise since 1995. Similarly, OECD provides data on countries’ participation in ICT GVCs (considering their forward and backward participation rates in those value chains), and the evidence clearly shows that, from 2005 to 2015, ITA-member nations enjoyed nearly one-third greater participation in ICT GVCs than did non-ITA-member nations. (See figure 5.)

Figure 5: Participation in global ICT value chains, indexed as a share of gross ICT output[61]

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Brazil provides a compelling example: Brazilian innovation in ICT has lagged behind that of the rest of the world primarily because the country hasn’t been involved in ICT GVCs and has enjoyed limited market-based technology and skills transfer in the ICT sector. Put simply, if countries wish to participate in GVCs for ICT products, they have to remove the barriers. As OECD’s “Measuring Trade in Value Added” research finds:

The growing fragmentation of production across borders has important policy implications. It highlights the need for countries wanting to reap the gains from value chain participation to have open, predictable and transparent trade and investment regimes as tariffs and other unnecessarily restrictive non-tariff measures impact foreign suppliers, international investors, and domestic producers.[62]

It’s also important to note that it’s not just about producing final goods; countries can derive significant value added from the production of intermediate inputs. A zero-in/zero-out tariff environment can help countries attract production across a wide range of goods; and over time, as countries’ enterprises and their employees develop knowledge, skills, and relationships with international partners, they can move up the value chain to the production of higher-value-added goods.

Another benefit of the ITA, for developed and developing nations alike, is that it has furthered the development of more diversified global supply chains, which can facilitate resilience and resistance to supply chain shocks and provide new opportunities. As MGI found in its report, “Risk, resilience, and rebalancing global supply chains,” that matters because, “[c]hanges in the environment and in the global economy are increasing the frequency and magnitude of shocks. Forty weather disasters in 2019 caused damages exceeding $1 billion each—and in recent years, the economic toll caused by the most extreme events has been escalating.”[63] The report estimates that companies today should expect supply chain disruptions of one to two weeks occurring at least once every 2 years; 2 to 4 weeks occurring once every 2.8 years; 1 to 2 months every 3.7 years; and 2 months or more every 4.9 years. By fostering more diversified and resilient global ICT supply chains, the ITA can help address this challenge.

Countries that don’t participate in open, cross-border flows of ICT products only end up excising themselves from GVCs and production networks for ICT products and services.

As a result, joining the ITA is important for a country’s growth; however, implementation of the agreement is just as important. Poor implementation of the ITA is no different from imposing high tariffs. For example, India is part of the ITA, yet it maintains high tariffs on key intermediate inputs to semiconductor manufacturing and continues to impose a 10 percent duty on printed circuit boards.[64] In April 2023, the WTO found that India imposes tariffs up to 20 percent on specific ICT products, a violation of its WTO commitments.[65] The continued imposition of such tariffs (in contravention of India’s ITA-1 commitments) will only diminish the benefits the nation can gain from its ITA membership.

But the message is clear: Countries that don’t participate in open, cross-border flows of ICT products (by imposing high tariffs on ICT or other restrictive measures such as localization barriers to trade) only end up excising themselves from GVCs and production networks for ICT products­ and services while reducing opportunities for employment and economic growth.[66]

Boosting Countries’ Exports of ICT Goods and Services

The ITA has helped boost countries’ levels of exports of both ICT goods and services. For instance, from 1996 to 2008, developing-country ITA exports expanded at an annual rate of 33.6 percent, compared with 7.2 percent for developed countries.[67] And the evidence shows that countries that have systematically reduced barriers to trade in ICT goods—including by eliminating tariffs, embracing trade facilitation, and eschewing other nontariff barriers such as localization requirements—have experienced increased ICT goods exports, both as a share of their total goods exports and in absolute value terms.

In fact, ICT goods exports as a share of total goods exports are consistently and significantly higher in ITA-member than in non-ITA-member countries. For instance, ICT goods exports account for nearly half of the Philippines’ goods exports, 39 percent of Vietnam’s, 32 percent of Malaysia’s, 29.2 percent of South Korea’s, 25.5 percent of China’s, and 16.1 percent of Thailand’s. (Incidentally, the U.S. figure was 9.1 percent and for India 2.2 percent.) In contrast, ICT goods exports account for a much-lower (and, indeed, incredibly meager) share of goods exports for non-ITA countries, including for just 2.5 percent of Cambodia’s goods exports, 0.7 percent of South Africa’s, and less than half a percent each for Brazil, Chile, Pakistan, and Argentina. (See figure 6.) And it’s not that the first six countries shown in figure 6 are in the ITA because they are strong ICT goods exporters; rather, they are robust ICT goods exporters in considerable part because they have become members of the ITA. This data truly corroborates the argument that countries that have elected not to join the ITA have simply seen themselves excluded from GVCs for the production of ICT goods.

Figure 6: ICT goods exports as a share of total goods exports, select ITA and non-ITA members, 2021[68]

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Beyond ICT goods exports, a similar story plays out in ICT services. In 2022, ICT services exports accounted for over 45 percent of India’s total services exports, 16 percent of the Philippines’ and Costa Rica’s, 15.1 percent of China’s, and 11 percent of Malaysia’s. (See figure 7.) In 2020, India’s ICT services sector contributed 8 percent of GDP, a significant increase from the just 1.2 percent it did in 1998, shortly after India joined the ITA.[69] All these countries have experienced significant increases in ICT services exports’ share of total services exports since 2000, and part of the dynamic here is that ITA membership helped to lower prices for key ICT hardware inputs ICT services enterprises depend on, helping them to innovate and become more globally competitive.

Figure 7: ICT services exports as a share of total services exports, select countries, 2000 and 2022[70]

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The Logic for Bringing Additional ICT Goods Under ITA-3 Coverage

An ITA-3 would bring a number of emerging (as well as more-modern versions of existing) technologies driving the global digital economy under ITA-coverage. As noted, an ITA-3 would include goods such as next-generation semiconductors, energy-efficient technologies such as storage batteries and LED “light sources,” digital manufacturing technologies such as industrial robots and 3D printers, certain medical technologies such as photographic X-ray plates, and some unmanned aerial vehicles (UAVs), among other products. The following section explores the logic of why several of these specific product categories merit ITA coverage, focusing especially on semiconductors, digital (or “smart”) manufacturing technologies, energy-efficiency technologies, commercial-use drones, and medical devices. These benefits are not limited to technology products, as many traditional industrial products (e.g., cars, appliances, HVAC systems) now incorporate semiconductors and other “smart” technologies, and products that lack such digital brains are losing competitiveness.

Semiconductors, Semiconductor Manufacturing Equipment, and Related Components

To be sure, semiconductors have been included as ITA products since the original agreement. But semiconductors continue to evolve, which is one reason why multicomponent semiconductorsa single semiconductor device that performs complex or multiple functions previously performed by two or more semiconductor devices, thanks to a variety of components integrated into a single unit—were an important part of the ITA-2 agreement.[71] Similarly, an ITA-3 would ensure that the latest next-generation semiconductor technologies, such as semiconductor-based transducers, are part of the agreement. The proposed ITA-3 would also bring a litany of products and materials involved in the manufacture of semiconductors under ITA coverage, including the following:

Circular polishing pads used in the manufacturing of semiconductor wafers (HS 3919.90)

Nonelectrical articles of carbon fiber used for the production or processing of semiconductor parts (HS 6815.10)

Diamond blades for sawing semiconductor wafers (HS 8202.39)

Liquid pumps used to blend and deliver process slurries used in polishing wafer surfaces (HS 8413.81)

Filtering or purifying machinery used in the manufacturing of semiconductor devices (HS 8421.21)

Ensuring inclusion of the vast majority of inputs that comprise semiconductor manufacturing equipment—the machines and their components that make the actual semiconductors—matters because semiconductors are foundational to the modern global economy. Semiconductors underpin everything from AI systems, cloud computing, and the Internet of Things to advanced wireless networks, smart grids, smart buildings, smart cities, digital health care devices, and even the next generation of quantum computing.[72] Moreover, semiconductors lie not only at the heart of every piece of ICT equipment, from desktop or laptop computers to tablets, servers, and smartphones, but to an increasingly wide variety of consumer goods from automobiles to home appliances to fitness monitors— something vividly illustrated by the global semiconductor shortage that hit in the wake of the COVID-19 pandemic.[73]

In addition to powering consumer goods, semiconductors also play a crucial role in addressing global climate change. Multiple industries, including transportation, manufacturing, construction, and agriculture, rely on semiconductors to enable their energy efficient or clean energy production, which in turn reduces emissions. For example, the United Nations Environment Programme noted that the building and construction sector accounts for 37 percent of carbon emissions.[74] However, the implementation of semiconductor-enabled smart devices could drastically reduce energy consumption in that sector. Indeed, the American Council on Energy Efficient Economy found that “smart devices” could reduce energy consumption by inefficient commercial buildings by at least 30 percent.[75] As a result, the World Economic Forum found that semiconductor-enabled technologies can reduce global emissions by up to 15 percent, or one-third of the needed reduction by 2030.[76]

The semiconductor sector itself represents a $470 billion highly globalized industry that helps create $7 trillion in global economic activity and is directly responsible for $2.7 trillion in total annual global GDP.[77] Broadening the set of semiconductor production inputs and end products covered by the ITA would help lower semiconductor prices—and makes perfect sense for the global economy.

Energy-Efficient Technologies

The ITA-3 expansion proposal includes numerous ICT-powered energy-efficiency technologies, such as the following:

Solar water heaters (HS 8419.19)

Photovoltaic generators (HS 8501.31, 8501.33, 8501.34, 8501.61, 8501.62, 8501.63, 8501.64)

Wind-powered generating sets (HS 8502.31)

Lithium and lithium-ion batteries (HS 8506.50, 8507.60)

Light-emitting diode (LED) light sources (HS 8539.50)

Semiconductors not only move bits (1s and 0s), but they also help control flows of electricity (i.e., power). Whether it comes to a nation’s power grid or the electrical flow within a factory, computer, smartphone, or even a single LED light bulb, they all rely on microchip systems that control, measure, and convert electricity. In fact, 80 percent of the energy generated globally passes through some kind of power electronics.[78] And in the United States, more than half of all electricity flows through some form of semiconductor-controlled motor.[79]

As semiconductors—and thus the devices they power and control—have become more powerful and more energy efficient, they portend the ability to deliver significant energy efficiencies across not only a variety of industries but even entire national economies and thus reduce carbon emissions. Indeed, ICT such as semiconductors represents a powerful technology that enables other sectors of an economy to become more energy efficient.[80] For instance, a 2009 study by the American Council for an Energy Efficient Economy (ACEEE) estimates that the United States could realize 1.2 trillion kilowatt-hours (kWH) in energy savings by accelerating the adoption of semiconductor-enabled technologies by just 1 percentage point per year.[81] According to ACEEE estimates, that would translate to 22 percent less electricity consumed than the then-prevailing U.S. Department of Commerce Reference Case, resulting in 733 million metric tons less carbon dioxide emitted in 2030, as many as 296 energy plants that wouldn’t need to be built to deliver that power, and $1.3 trillion in cumulative savings from 2010 to 2030.[82] Driving these gains, ACEEE identified more than two dozen semiconductor-enabled technologies, including commercial and residential lighting, high-efficiency industrial motors and motor systems, programmable thermostats, and residential water heaters.[83] Several of these items are now proposed for ITA-3 expansion.

Semiconductors are driving power efficiencies across a wide range of products, enabling computing efficiency (the number of computations per kilowatt hour of electricity) to double approximately every 1.6 years, a phenomenon known as “Koomey’s law.”[84] For instance, data centers can reduce energy demand by 56 percent by using semiconductor-enabled technologies such as efficient uninterruptible power supplies, variable speed fans and pumps, and server virtualization.[85] In 2010, data centers consumed 194 terawatt hours (TWh) of electricity, about 1 percent of global electricity consumption. Since then, the global installed base of servers has increased by 30 percent; compute instances have increased more than sixfold; data center Internet protocol traffic has increased by a factor of 11; and data center storage capacity has experienced a 25-fold increase.[86] However, over this time, greater storage-drive efficiencies and densities have reduced storage energy use by nearly 90 percent. Overall, the energy intensity of data centers has decreased about 20 percent annually since 2010.[87] Elsewhere, semiconductors enable solar panels to harvest up to 57 percent of power normally lost to real-world conditions such as clouds, dirt, and animal interference.[88]

Semiconductor-powered sensors, controllers, and meters—several specific types of which are herein proposed for ITA-3 inclusion—will have a tremendous impact on the energy efficiency of commercial buildings and residential homes. For instance, one study finds that integrating smart sensors and controls throughout the commercial building stock has the potential to save as much as 29 percent of building energy consumption.[89] Smart sensors and controls can enable buildings to reduce their peak electricity load by 10 to 20 percent, for example, by shifting some energy services to times of day when energy demand is low.[90] Likewise, smart thermostats that help households and building managers monitor and regulate heating and cooling can reduce electricity demand by 15 to 50 percent, depending on the building and control technology.[91]The U.S. Department of Energy has estimated that sensor and control technologies alone could reduce building energy consumption in the United States by 1.7 quads (~500 billion kWh) by 2030, generating $18 billion in annual energy savings.[92]

As semiconductors—and thus the devices they power and control—have become more powerful and more energy efficient, they portend the ability to deliver significant energy efficiencies across not only a variety of industries but even entire national economies.

Similarly, the International Energy Agency’s 2017 report, Digitalization & Energy, identifies the global potential energy savings from smarter energy use in buildings, finding that ICT integration can reduce annual electricity use by up to 4.65 petawatt hours (PWh), or nearly 25 percent, over the next two decades with energy savings realized across a range of applications including lighting, water heating, metering, application of smart thermostats, etc. (See figure 8.) Given their potential to save energy, save costs, and help the environment—especially as the world attempts to meet the Paris Agreement’s climate goals—the energy-efficient technologies identified as candidates for ITA-3 coverage certainly merit inclusion.

Figure 8: Cumulative energy savings in buildings from widespread digitalization, by energy use (2017–2040)[93]

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Smart Manufacturing Technologies

Smart manufacturingthe application of ICT (such as industrial robots, 3D printers, the Internet of Things, AI, big data, etc.) to every facet of modern manufacturingis in the midst of transforming how products are designed, fabricated, used, operated, and serviced post sale, just as it’s transforming the operations, processes, and energy footprint of factories and the management of manufacturing supply chains.[94] MGI has estimated that this advent of manufacturing digitalization may increase global manufacturing productivity by 10 to 25 percent, with the potential to create as much as $1.8 trillion in new value per year across the world’s factories by 2025.[95] This concords reasonably well with a General Electric report, “Industrial Internet: Pushing the Boundaries of Minds and Machines,” that estimates the Industrial Internet could boost annual U.S. productivity growth by 1 to 1.5 percentage points and add $10 trillion to $15 trillion to global GDP over the next 20 years.[96] The ITA would promote global manufacturing digitalization by bringing more products, such as industrial robots and 3D printers, under ITA coverage. Adding up global imports in 2020 for both the components and end products representing industrial robots and 3D printers that are proposed for ITA-3 inclusion shows that the total import value for such products exceeds $70 billion.[97]

Industrial Robotics

Industrial robots will be a critical driver of this transformation. As of October 2022, there were 3.5 million industrial robots operating across the world’s factories, with the 517,385 new industrial robots installed in 2021 representing a 31 percent increase over the prior year.[98] Seventy-four percent of the newly deployed industrial robots deployed globally in 2021 were fielded in Asia, led by China, Japan, and Korea.[99] The global industrial robot marketplace was valued at $14.6 billion in 2020 and is expected to grow to $31.1 billion by 2028 at a compound annual growth rate (CAGR) of 10.4 percent.[100]

Robots improve productivity when applied to tasks wherein they can reduce error and execute tasks at high levels of efficiency and consistency. In this way, robots help produce goods more economically, expanding the range of global access to a wide variety of manufactured goods—from automobiles to refrigerators to smartphones—and thus have played an instrumental role in enhancing global standards of living and driving global economic growth more broadly.[101] Their impact has been enormous. Georg Graetz and Guy Michaels of the Centre for Economic Performance concluded that robot densification increased annual growth of GDP and labor productivity between 1993 and 2007 by about 0.37 and 0.36 percentage points, respectively, across 17 countries studied.[102] Their study finds that robots accounted for 10 percent of GDP growth in studied countries, and that productivity in robot-enabled industries in these countries increased by 13.6 percent.[103] As the authors concluded, “For the industries in our sample, robot adoption may indeed have been the main driver of labor productivity growth.”[104] They also found that robot densification is associated with increases in both TFP and wages and reductions in output prices.[105] To put the power of industrial robots in context, Graetz and Michaels estimated that industrial robots exerted a greater economic impact over that 14-year study period than did the steam engine from 1850 to 1910, a harbinger of the impact the newest generation of far more capable industrial robots—and indeed digital manufacturing technologies more broadly—may have in the future.[106] To that end, MGI has predicted that up to half of the total productivity growth needed to ensure a 2.8 percent growth in global GDP over the next 50 years will need to be driven by automation.[107] And in that regard, the Boston Consulting Group has forecasted productivity improvements of 30 percent over the next 10 years, spurred particularly by the uptake of robots in small to medium-sized enterprises as robots become more affordable, more adaptable, and easier to program.[108]

The ITA would promote global manufacturing digitalization by bringing more products, such as industrial robots and 3D printers, under ITA coverage.

In other words, the competitiveness of a nation’s manufacturing enterprises—both large and small—will increasingly hinge on their ability to deploy and leverage industrial robots. And, if industrial robots are included in an ITA-3, then countries joining such an agreement will be at an advantage because eliminating tariffs on these productivity-enhancing goods will lower their prices and put domestic manufacturers at a competitive advantage. Industrial robots represent an obvious choice for ITA-3 inclusion.

3D Printing

Additive manufacturing, or 3D printing, refers to a manufacturing process in which successive layers of material are built up to synthesize a three-dimensional solid object composed in a digital file, with each layer a thinly sliced horizontal cross-section of the eventual object.[109] 3D printing enables fundamentally new shapes and even mechanical linkages that simply can’t be achieved through traditional subtractive manufacturing techniques, while offering many applications for improving speed and efficiency, reducing errors, and eliminating as much as 70 percent of waste generated from traditional subtractive manufacturing processes.[110]

The current $12.6 billion global marketplace for 3D printers is expected to grow to $62.8 billion by 2028, at a 21 percent CAGR.[111] Especially as 3D printing becomes cost competitive across a range of materials—from plastic to metals such as titanium—it heralds the potential to transform manufacturing by “democratizing it” (i.e., making it more globally achievable), enabling the production of goods closer to final markets (thus reducing transportation costs), and permitting mass customization (i.e., production lot sizes of one, as opposed to one million). A recent report from ING Bank estimates that the rise of 3D printing could see the share of 3D printed goods in global manufacturing rise to 5 percent over the next two decades—a significant increase from the current share of 0.1 percent—and that the greater extent of manufacturing closer to final consumption would at most decrease global trade flows by a modest rate of 0.2 percentage points less trade growth per year.[112] A growing market for 3D printing therefore would bring positive economic benefits to importing countries but would not impose a disincentive to trade flows at large. Moreover, digital manufacturing technologies such as 3D printing could actually cause international trade flows to increase by enabling the creation of new and innovative products for export. For instance, a 2019 study by the World Bank’s Caroline Freund, Alen Mulabdic, and Michele Ruta finds that the use of 3D printing in the hearing aid industry increased trade in that field by 58 percent over nearly a decade compared with what would otherwise have been expected.

As with industrial robots, 3D printers represent a device ripe for ITA-3 inclusion, and the manufacturers that have access to the lowest-cost, most-innovative 3D printers will find themselves at a competitive advantage.

Drones for Commercial and Personal Use

The global UAV marketplace stands at $27.4 billion and is projected to reach $58.4 billion by 2026, at a 16.4 percent CAGR. But far from being playful toys, drones represent a productivity-enhancing tool that is already delivering beneficial impacts across a range of industries, from agriculture to energy to medicine.

The United Nations Food and Agricultural Organization has projected that global food production will need to increase by 70 percent by 2050 to meet the world's food needs.[113] Precision agriculture leverages a variety of ICT including GPS-enabled UAVs, Internet of Things, AI, and big data to enable targeted interventions designed to enhance agricultural output and quality.[114] Indeed, UAVs are increasingly enabling a sustainable agriculture-management approach that allows agronomists, agricultural engineers, and farmers to help streamline their operations, using robust data analytics to gain effective insights into their crops. For instance, drones can facilitate the monitoring of large areas of farmland, considering factors such as slope and elevation, for instance, to identify the most suitable seeding prescriptions or to identify regions where irrigation needs to be provided, fertilizer applied, or crops pruned.[115] Drones are much more efficient and cheaper than the satellites or manned aircraft traditionally used to monitor agriculture, and can produce high-quality imagery over a wide expanse of terrain more safely, efficiently, and regularly. As such, analysts expect the agriculture drone market alone to reach $32.4 billion by 2025, indicating a growing global technology platform ripe for ITA inclusion.

Drones have also proven instrumental in the real-time delivery of urgent medical supplies. In October 2016, the start-up Zipline partnered with the Rwandan government to facilitate the real-time delivery of urgent medical supplies, such as blood and vaccines, to patients in remote locations via drones (named “Zips”).[116] The Zips, which have a 75-kilometer service radius and can carry 1.5 kilograms of payload per sortie and operate in most weather conditions, seamlessly fly over treacherous terrain in as little as 30 minutes—a trip that traditionally took as much as four hours to cover in a vehicle.[117] By May 2017, Zipline averaged more than 20 weekly deliveries, providing near-real-time access to life-saving medical supplies for more than 8 million Rwandans, or nearly two-thirds of the country’s total population of 12 million.[118]

Countries joining an ITA-3 expansion would give their domestic manufacturing enterprises a competitive advantage by reducing the prices of capital goods such as industrial robots and 3D printers that powerfully drive industrial productivity.

Commercial-use drones also played an important role in combatting COVID-19. In 2020, Zipline partnered with a North Carolina hospital to become the first emergency drone logistics operation to help U.S. hospitals respond to the pandemic.[119] Elsewhere, America’s United Parcel Service (UPS) teamed up with the CVS drugstores to begin delivery of prescription medicine via Matternet’s M2 drones to Florida residents.[120] Similarly, the Alphabet subsidiary Wing and Nevada-based start-up Flirtey are working to pioneer drone delivery of groceries and household goods, with customer demand for the service increasing 350 percent during the pandemic.[121] A June 2021 GlobeNewswire report noted that “rising demand for contactless deliveries of medical supplies and other essentials using drones owing to COVID-19 are some of the factors driving the growth of the UAV market [in 2020].”[122] Drones are playing increasingly important roles in ensuring individuals’ health, improving quality of life, and enhancing the productivity and innovation capacity of a wide variety of industries, and therefore certainly merit ITA-3 inclusion.

Medical Technologies

Medical devices play critical roles in health care, from devices that directly protect patient health (e.g., implantable cardiac devices) to those that facilitate diagnosis (e.g., magnetic resonance imaging (MRI) machines) to remote patient monitoring devices (e.g., fall monitors) or ones that improve quality of life (e.g., personal fitness trackers). Medical devices contribute to improved quality of life, to a greater ability to productively work, and to longer lives, all of which contribute to nations’ economic growth. For instance, economists Kevin Murphy and Robert Topel estimated that increases in life expectancy between 1970 and 1990 contributed $57 trillion, or $2.8 trillion per year, to the U.S. economy, with the average additional year of life estimated to be worth $150,000 per person (although this varies with age).[123] Moreover, in the United States, advanced medical technology helped reduce the number of days spent in hospitals by 59 percent from 1980 to 2010, and the use of key medical technologies in four disease areas alone (diabetes, colorectal cancer, musculoskeletal disease, and cardiovascular disease) expanded U.S. GDP by $106.2 billion, providing a net annual benefit of $23.6 billion to the economy due to better treatment, reduced disability, and increased productivity.[124] No doubt, nations around the world similarly realize both patient health and broader economic benefits from the greater availability and cost efficiency of medical devices.

The 2016 ITA-2 introduced for the first time a variety of medical devices, including MRI machines and computed tomography (CT) scanners, into ITA coverage.[125] The ITA-3 expansion again proposes widening the range of medical devices and equipment receiving coverage, including, among others, Cameras designed for internal organ exams (HS 9006.30) and Medical etc., needles, and catheters (HS 9018.39).

These items should be included in an ITA-3. Moreover, with the world still reeling from the consequences of the COVID-19 pandemic, nations should be considering doing all they can to reduce the costs of medical goods and equipment—and by bringing those with heavy ICT components under ITA coverage, they can further such aims.

The Economic Impact of a Proposed ITA-3 Expansion

For most countries that have joined the ITA, participation has succeeded in fostering ICT-driven economic growth. ICT boosts productivity, supports innovations, empowers workers, and expands access to digital services that improve quality of life and productivity. Since less-economically developed nations may suffer a shortfall in their stock of ICT capital, an effective way to grow their ICT capital stock is by joining the ITA and increasing participation in global technology supply chains. As noted, this report examines the economic impact of 22 countries and regions joining the proposed ITA-3. (A subsequent section will examine the economic impact for countries not in the ITA-1 and/or ITA-2 joining the ITA all the way through the first two agreements as well as the proposed ITA-3.)

ITIF selected these countries both because they are among the most important in ICT goods production and trade and because they provide a sample set of large and small economies to model impacts of the proposed ITA-3 expansion. This section proceeds by briefly describing the economic framework and methodology used in the analysis, applying the model in order to estimate the anticipated 1-year and 10-year economic impacts of full ITA accession for study countries, and then assessing the impact ITA accession would likely have on government income.

Summary Explanation of Methodology and Data Sources

Data for calculating trade in ITA goods comes from the UN Comtrade Database. International trade accounts for products using HS2017 codes detailing imports with the specificity of six digits to categorize items. A six-digit code, however, still encompasses multiple items. Many countries, including the United States, distinguish product codes based on the HS categorization beyond six digits. The United States maintains HS codes at the eight-digit level, allowing ITIF to approximate the percentage of products within an HS6 code incorporated into the proposed ITA-3 expansion. Applied tariff rates at the six-digit level per country for each trading partner are available via the World Bank’s World Integrated Trade Solution (WITS) database. By multiplying the corresponding effective tariff rates (while accounting for most favored nation and preference agreements) with a given country’s import value data (excluding reimports) for the 301 proposed HS6 codes comprising the proposed ITA-3, ITIF calculated a country’s average effective applied tariff rate on ITA-3 goods by dividing the sum of effective ITA-3 tariff revenue by the sum of ITA-3 total import value. This average tariff rate under the ITA-3 expansion would be reduced to zero for participating countries. The removal of tariffs on ITA-3 products would effectively function as a price cut on ICT products to the benefit of domestic consumers (organizations and individuals alike) that could then afford more ICT at a reduced price.

Moreover, economists have found that demand for ICT products is price elastic, whereby ICT consumption rises by a factor greater than its price reduction. ITIF’s model for estimating the economic impacts of ITA-3 accession uses a price elasticity of 1.3 for ICT products based on research findings pioneered by Cette et al. in 2012.[126] A country’s imports, however, could be inhibited in part by domestic producers’ ability to respond competitively by lowering costs and maintaining an advantage against imports when tariffs are eliminated. ITIF opted for this estimate regarding the price elasticity of ICT imports because it was estimated controlling for a substitution effect on imports that comes from competing domestic firms after ITA accession. This resulting price elasticity for ICT demand allows one to estimate the annual growth in imports of ICT goods anticipated by eliminating tariffs on ITA-3 products, whereby a 1.0 percent decrease in ICT price (via removed tariffs) induces a 1.3 percent increase in consumption of those goods, with this heightened consumption further increasing the extent of a country’s ICT capital stock.

Economists have found that demand for ICT products is price elastic, with a 1 percent decrease in ICT price inducing on average a 1.3 percent increase in consumption of ICT products.

Over time, increased ICT consumption and the resulting growth in a nation’s ICT capital stock creates widespread positive externalities. A proliferation of ICT allows workers to provide services more efficiently and businesses to innovate their products and operations, thus raising overall productivity and economic growth. Leveraging Cardona et al.’s research, ITIF applied a growth factor suggesting that a 1 percent increase in a nation’s net ICT capital stock generates a 0.06 percent increase in a nation’s real GDP.[127] Multiplying a country’s estimated annual net growth in ICT capital stock by this growth factor provides an estimate of the potential GDP growth from extending ITA coverage onto proposed ITA-3 products. ITIF computed 10-year average growth rates for real GDP and imports specific to each country. Yearly net ICT capital stock and GDP growth estimates enable forecasting of the total cumulative GDP growth a nation may experience over 10 years due to joining the proposed ITA-3 expansion. The following flowchart summarizes the analytical framework ITIF’s model uses to estimate the economic impacts of ITA-3 on the study countries. (See figure 9.)

Figure 9: ITIF’s analytical framework for modeling the benefits of ITA accession

image

As the model illustrates, while tax revenues fall in the short run (e.g., one year post ITA-3 accession) due to tariffs on products that would come under ITA coverage reducing to zero, additional tax revenue is recovered in the long run (e.g., 10 years post ITA-3 accession) through standard means of taxation as economies grow. A growing economy means businesses increase revenues and workers earn higher incomes (thus consuming more goods and services), a dynamic that helps countries recover some, if not all, tariff revenues initially lost due to joining the ITA.

Modeling the Economic Impacts of ITA-3 Accession

ICT Import Profile of Countries

Despite global digitalization trends, many countries still vary widely in their ICT import profile. Using the common base year for available import data of 2021, ITIF calculated the total value of ITA-3 imports per country. Table 2 provides the ICT import profile of each country, showing the full value of ITA-3 imports per country as well as total tariff revenue raised from ITA-3 imports alongside officially reported trade statistics to control for any unobservable inconsistencies between model and official reporting of import findings.

Table 2: ICT imports for ITA-3 products[128]

Country

Total ITA-3 Imports (Millions)

Total of All Imports (Millions)

ITA-3 Share of Total Imports

Total ITA-3 Tariff Revenue (Millions)

Official Sum of Tariff Revenue Across All Imports (Millions)

Average Effective Applied Tariff Rate on ITA-3 Imports

Argentina

$2,178

$63,184

3.45%

$228

$3,902

6.17%

Brazil

$9,047

$219,408

4.12%

$1,165

$11,464

5.22%

Cambodia

$470

$28,703

1.64%

$19

$566

1.97%

Canada

$19,560

$489,703

3.99%

$70

$4,296

0.88%

China

$85,668

$2,675,680

3.20%

$3,839

$45,086

1.69%

Costa Rica

$1,028

$18,431

5.58%

$4

$286

1.55%

EU 27

$121,002

$3,118,390

3.88%

$1,559

$17,188

0.55%

India

$14,871

$570,402

2.61%

$1,151

$47,255

8.28%

Indonesia

$6,660

$195,694

3.40%

$79

$2,492

1.27%

Japan

$30,477

$773,721

3.94%

$14

$7,707

1.00%

Kenya

$527

$19,288

2.73%

$46

$1,635

8.47%

Lao PDR

$199

$5,871

3.38%

$1

$117

1.99%

Malaysia

$8,321

$238,321

3.49%

$360

$619

0.26%

Mexico

$36,388

$506,565

7.18%

$299

$3,819

0.75%

Nigeria

$1,487

$52,442

2.83%

$152

$3,126

5.96%

Pakistan

$1,727

$73,107

2.36%

$145

$4,803

6.57%

South Korea

$23,157

$615,034

3.77%

$371

$7,540

1.23%

Taiwan

$12,677

$382,961

3.31%

$323

$11,672

3.05%

Thailand

$12,704

$269,102

4.72%

$492

$2,680

3.87%

United States

$162,625

$2,935,314

5.54%

$1,551

$86,719

2.95%

United Kingdom

$26,990

$695,578

3.88%

$118

$7,165

1.03%

Vietnam

$18,311

$330,752

5.54%

$114

$3,584

1.08%

 

Economic Impact of the Elimination of ITA-3 Tariffs

By confirming our estimates against total officially reported tariff revenues in the OECD’s Global Revenue Statistics (GRS) database, ITIF calculated the average effective applied tariff rate on ITA-3 imports for study countries. Of the 21 countries and the European Union, Kenya maintained the highest average effective tariff rate applied to ITA-3 goods at 8.5 percent. India followed Kenya at 8.3 percent, with Pakistan next at 6.6 percent and Argentina at 6.2 percent. (See table 3.) Many nationssuch as Mexico, Costa Rica, the United States, and Vietnamhave substantial ITA-3 shares of total imports but maintain low average tariff rates, near or below 3 percent. These nations seek to capitalize on a steady inflow of ICT imports with low average tariffs on those products to produce revenue without heavily distorting sensitive technology markets that comprise ICT trade. But this still fails to maximize the total economic benefits to be gained from importing ICT. This tariff rate is indicative of the corresponding price decrease ITA-3 products would effectively enjoy when imported under the proposed ITA-3 expansion. If signatories set tariff rates to zero under ITA coverage, eliminating such tariffs would increase consumption of ITA-3 imports even further due to the high price elasticity of ICT.

Table 3: Impact of tariff elimination on ITA-3 product imports[129]

Country

Average Effective Applied Tariff Rate on ITA-3 Imports

Increase in ITA-3 Imports

Increase in ITA-3 Imports (millions)

Growth in Total Imports Post ITA-3 Accession

Argentina

6.2%

8.0%

$175

0.28%

Brazil

5.2%

6.8%

$614

0.28%

Cambodia

2.0%

2.6%

$12

0.04%

Canada

0.9%

1.1%

$223

0.05%

China

1.7%

2.2%

$1,877

0.07%

Costa Rica

1.6%

2.0%

$21

0.11%

EU 27

0.6%

0.7%

$867

0.03%

India

8.3%

10.8%

$1,602

0.28%

Indonesia

1.3%

1.7%

$110

0.06%

Japan

1.0%

1.3%

$395

0.05%

Kenya

8.5%

11.0%

$58

0.30%

Lao PDR

2.0%

2.6%

$5

0.09%

Malaysia

0.3%

0.3%

$28

0.01%

Mexico

0.8%

1.0%

$357

0.07%

Nigeria

6.0%

7.7%

$115

0.22%

Pakistan

6.6%

8.5%

$147

0.20%

South Korea

1.2%

1.6%

$369

0.06%

Taiwan

3.0%

4.0%

$502

0.13%

Thailand

3.9%

5.0%

$640

0.24%

United States

3.0%

3.8%

$6,246

0.21%

UK

1.0%

1.3%

$361

0.05%

Vietnam

1.1%

1.4%

$258

0.08%

Based on the price elasticity of 1.3 for ICT goods demanded, ITIF estimated an expansion of ITA-3 imports of between 0.3 and 11 percent among countries sampled, dependent on those countries’ current tariff rates. (See table 3.) Kenya, the nation with the highest applied tariff rate on ITA-3 imports (8.5 percent), could expect an 11 percent increase in ITA-3 imports. Conversely, Malaysia could expect a 0.3 percent increase in ITA-3 imports, given it has the lowest average applied tariff rate on ITA-3 imports (0.3 percent).

While 12 countries and the European Union—the majority in the study—would expect an increase of ITA-3 imports of less than 3 percent, a few percentage points increase in ITA imports swiftly grows those nations’ stocks of ICT capital. In one year following ITA-3 accession, all countries’ net ICT capital stock would grow between 0.12 and 4 percent due to increased ITA imports. (See table 4.) Using an unweighted average derived from depreciation rates from the Conference Board, ITIF estimated an average depreciation rate of ICT capital of 32.4 percent.[130] This expansion in ICT capital stock occurs even with the high rate of depreciation common to ICT. Since this model ties ICT capital stock growth to increased ICT consumption due to eliminating tariffs, countries expecting the highest net growth in ICT capital stock are the same nations with the highest average effective applied tariff rates. Table 4 provides details regarding each country’s expected growth in ICT capital stock in one year from joining the ITA-3. India and Kenya, for example, would experience the highest growth in ICT capital stock, about 4 percent, since their tariff rates are the highest in the set. Conversely, with the lowest average tariff rate on ICT, the European Union and Malaysia would have the lowest growth in ICT capital stock at 0.24 and 0.12 percent, respectively.

Table 4: Nations’ ICT capital stock growth from joining an ITA-3[131]

Country

Current ICT Capital Stock (millions)

ITA-3 Attributable Contribution to ICT Capital Stock (millions)

Percent of ITA-3 Attributable Growth in ICT Capital Stock

Argentina

$6,777

$175

2.58%

Brazil

$27,075

$614

2.27%

Cambodia

$1,281

$12

0.94%

Canada

$57,877

$223

0.39%

China

$223,096

$1,877

0.84%

Costa Rica

$2,941

$21

0.71%

EU 27

$357,550

$867

0.24%

India

$41,063

$1,602

3.90%

Indonesia

$18,615

$110

0.59%

Japan

$94,550

$395

0.42%

Kenya

$1,434

$58

4.05%

Lao PDR

$530

$5

0.97%

Malaysia

$23,831

$28

0.12%

Mexico

$111,728

$357

0.32%

Nigeria

$4,404

$115

2.62%

Pakistan

$4,789

$147

3.08%

South Korea

$66,640

$369

0.55%

Taiwan

$34,646

$502

1.45%

Thailand

$37,827

$640

1.69%

United States

$470,941

$6,246

1.33%

UK

$82,163

$361

0.44%

Vietnam

$48,392

$258

0.53%

ICT Capital Stock and Economic Growth

This report’s model for calculating ITA-spurred growth closely follows the methodology developed in ITIF’s 2017 report, “How Joining the Information Technology Agreement Spurs Growth in Developing Nations,” which was ultimately based on modeling best practices from Bora et al. in 2010 and Henn et al. in 2015.[132] However, the growth-revenue estimation model employed in this paper brings nuance to the literature by providing more-precise estimates of ITA imports traded between countries using HS6 adjustment factors. The model accounts solely for consumption and capital imports to exclude any reimports that would distort growth estimates and calculates adjustment factors as the share of 8- or 10-digit codes within a single 6-digit code covered under ITA-3 treatment via UN Comtrade data. These adjustment factors serve as proxies applied to other countries to account for the share of goods traded within a six-digit code to be fully covered by the proposed ITA-3 expansion.

Following the expansion of a nation’s ICT capital stock, ITIF’s model connects it to other countries’ economic growth. As noted, several papers document this linkage. Niebel found that, on average, a 1 percent increase in ICT capital stock is associated with 0.05 to 0.09 percent GDP growth in a given year, regardless of a country’s level of economic development.[133] Cardona et al. found, after extensive review of econometric literature covering the statistical relationship between ICT capital stock and economic growth, that a 1 percent increase in ICT capital stock associates with a 0.06 percent increase in GDP growth.[134] Here, ITIF defaulted to a conservative estimate of 0.06 percent both to intentionally prevent overstating findings and to maintain consistency with prior ITIF studies modeling economic impacts of countries’ ITA accession. Due to this conservative growth factor, GDP growth estimated from ITA-3 accession is likely even higher than reflected here.

Table 5 provides GDP growth estimates in the first year following ITA-3 accession. Again, this methodology finds that countries with the highest tariffs imposed on ITA-3 goods stand to gain the most. India, Kenya, Pakistan, and Nigeria are the countries that could anticipate the greatest economic growth in a given year as a result of ITA-3 accession. By reducing its average effective tariff rate of 8.5 percent applied to ITA-3 goods to zero, Kenya could expect 0.24 percent GDP growth just one year after ITA-3 accession. India could expect a 0.23 percent increase in GDP growth in the first year after eliminating its 8.3 percent average ITA-3 tariff rate. Pakistan and Nigeria, imposing a 6.6 and 6 percent average effective tariff rates on ITA-3 goods, respectively, could both expect a 0.18 and 0.16 percent increase in GDP a year after having accepted the ITA-3 proposal.

India, Kenya, Pakistan, and Nigeria are the countries that could anticipate the greatest economic growth in a given year as a result of ITA-3 accession.

All study countries could experience notable annual GDP growth from joining an ITA-3. Even the lowest-tariff-imposing country, Malaysia, and the European Union would still experience a 0.01 percent growth in GDP in the first year of joining. While 0.01 percent may sound negligible, the additional GDP growth attributable to ITA-3 accession after 10 years would be undeniable.

Table 5: Projected one-year economic growth resulting from ITA-3 accession[135]

Country

Annual Real GDP Growth
(2017–2021)

ITA-3 Attributable GDP Growth (Year One)

Argentina

-0.27%

0.15%

Brazil

1.01%

0.14%

Cambodia

4.27%

0.06%

Canada

1.40%

0.02%

China

6.00%

0.05%

Costa Rica

2.54%

0.04%

EU 27

1.44%

0.01%

India

3.81%

0.23%

Indonesia

3.38%

0.04%

Japan

-0.17%

0.03%

Kenya

4.37%

0.24%

Lao PDR

5.07%

0.06%

Malaysia

2.52%

0.01%

Mexico

0.17%

0.02%

Nigeria

1.36%

0.16%

Pakistan

3.66%

0.18%

South Korea

2.35%

0.03%

Taiwan

4.19%

0.09%

Thailand

1.18%

0.10%

United States

2.13%

0.08%

UK

0.45%

0.03%

Vietnam

5.44%

0.03%

Table 6 details the long-term economic growth countries could enjoy as a result of ITA-3 expansion. Even though it would have the lowest percentage growth rate, ITA-3 accession could still add nearly $348 million to Malaysia’s economy over 10 years. It would also add $28.7 billion to the European Union’s economy over the same timespan. Beyond the example of the minimum-tariff country, Japan and South Korea could expect 10-year cumulative growth of 0.28 and 0.37 percent, respectively. The remaining 18 countries could expect near or above a 0.22 percent increase in GDP attributable to ITA-3 expansion. The countries poised to realize the greatest GDP growth (as a share of their original 2021 GDP) by joining the ITA-3 are India, Kenya, Pakistan, and Nigeria. Over 10 years, as noted, India’s economy could cumulatively grow by 2.5 percent, Kenya’s by 2.3 percent, Pakistan’s by 2 percent, and Nigeria by 1.7 percent. In absolute terms, the top four highest-growing economies due to ITA-3 accession (in order) would be the United States, China, India, and Brazil simply due to their already far-higher GDP and populations than the other (largely developing) nations in the study.

Table 6: Projected long-run economic growth benefits from joining an ITA-3[136]

Country

GDP (2021, billions)

Average Annual Real GDP Growth (2017–2021)

Cumulative 10-Year GDP Growth Attributable to ITA-3 Expansion (%)

Cumulative 10-Year
GDP Growth Attributable
to ITA-3 Expansion
(billions)

Argentina

$616

-0.27%

1.67%

$10.0

Brazil

$1,830

1.01%

1.57%

$31.8

Cambodia

$24

4.27%

0.70%

$0.3

Canada

$1,680

1.40%

0.24%

$4.7

China

$15,802

6.00%

0.52%

$147.3

Costa Rica

$66

2.54%

0.42%

$0.4

EU 27

$15,213

1.44%

0.16%

$28.7

India

$2,782

3.81%

2.50%

$101.2

Indonesia

$1,066

3.38%

0.38%

$5.7

Japan

$4,435

-0.17%

0.28%

$12.2

Kenya

$90

4.37%

2.30%

$3.2

Lao PDR

$20

5.07%

0.58%

$0.2

Malaysia

$355

2.52%

0.08%

$0.3

Mexico

$1,207

0.17%

0.22%

$2.7

Nigeria

$520

1.36%

1.73%

$10.3

Pakistan

$379

3.66%

1.99%

$10.8

South Korea

$1,694

2.35%

0.37%

$7.9

Taiwan

$727

4.19%

0.93%

$10.2

Thailand

$439

1.18%

1.11%

$5.5

United States

$20,529

2.13%

0.82%

$208.0

UK

$3,037

0.45%

0.27%

$8.6

Vietnam

$332

5.44%

0.35%

$2.0

Total

$72,843

$611.8

Figure 10: Projected economic growth attributable to ITA-3, cumulatively over 10 years[137]

image

Figure 10 provides a ranking of the European Union and the 21 nations’ 10-year cumulative growth anticipated from joining the proposed ITA-3. Here, India, Kenya, Pakistan, Nigeria, Argentina, and Brazil are the largest beneficiaries of an ITA-3. While all nations benefit considerably, these seven nations experience the highest relative growth in real GDP due to an ITA-3 expansion.

Over 10 years from their accession to this proposed ITA-3, this set of 21 countries and the European Union could expect to generate a combined cumulative increase to global GDP of over $600 billion. This set of 21 countries and the European Union comprised about 78 percent of global ICT imports in 2021, and as noted, the WTO found that the 82 ITA-1 signatories account for 97 percent of global trade in ITA-covered products. Using these two statistics to scale total global GDP impacts between modeled countries, ITIF finds that global GDP could be expected to cumulatively rise by $766 billion over 10 years if all 82 signatories of ITA-1 were to join the proposed ITA-3.

If all 82 ITA-1 signatory countries were to join the proposed ITA-3, global GDP could cumulatively grow by $766 billion over the ensuing 10 years.

Addressing Developing Countries’ Potential Concerns Regarding ITA Accession

While the potential economic benefits for developing countries joining an ITA-3 are evident, some concerns may remain for policymakers. Multiple developing nations, some modeled in this study, still have not joined the ITA in any capacity. Such countries usually justify their nonparticipation in the ITA based on the fear of losing revenues from tariffs on ICT goods or protectionist grounds of seeking to preserve domestic ICT industries and employment. However, ITIF’s modeling finds robust evidence regarding tax revenues recovered elsewhere from a growing economy that further justifies ITA membership among developing nations.

ITA Tariffs and Government Finances

Some developing-nation policymakers have argued against joining the ITA believing that tariff revenue from ICT goods imports is too essential to forgo. Tariff revenues on ICT in developing countries are often easily collected and may comprise a considerable share of government revenue, thereby seeming like a stable revenue stream to policymakers. However, ITIF’s growth-revenue modeling finds this policy rationale flawed. While in the short run tariffs forgone as a result of ITA accession could create a revenue shortfall, the ICT-fueled growth created from joining the ITA provides alternative sources for raising additional taxes. Most developing countries rely more on tariffs to raise government funds than do developed ones. Figure 11 depicts this, showing that for the 21-country sample and the European Union, developing countries such as Cambodia, India, and Taiwan are the most tariff revenue-intensive nations. Further, developed and emerging countries such as the United Kingdom, Japan, and the European Union are the least tariff revenue intensive, after Malaysia. (Malaysia is an outlier here due to its especially low effective applied rates.)

Figure 11: Tariff revenue as a share of GDP, 2020[138]

image

Figure 12 illustrates a similar trend in countries’ taxation compositions. Vietnam, Pakistan, Nigeria, Cambodia, Kenya, India, and Taiwan maintained the highest tariff shares of total government taxation in 2021. Pakistan collected 14.6 percent of its taxes via tariffs, whereas the European Union, using Germany as a proxy, was the least tariff reliant with 0.4 percent of its taxes collected from tariffs. Wealthier nations such as the United States, United Kingdom, China, and Korea were less tariff reliant in their taxation.

Figure 12: Tariff revenue as a share of total taxation, 2021 (*=countries that use proxies)[139]

image

Tax Revenue Analysis Post ITA Accession

To provide complete analysis of the net economic benefits of ITA-3 accession, ITIF analyzed projected tax revenues resulting from each country’s entrance into an ITA-3. Combining tax rate data with ITA-3 import data and the growth estimates provided in this paper’s previous section, ITIF quantified losses in tariff revenue forgone and the collection of tax revenues made by countries thanks to the ICT-driven growth they could experience from an ITA-3. As a nation’s economy grows, businesses increase revenues and workers take home higher incomes and thus increase their consumption. These two main channels—income and consumption—increase tax revenue when an economy is growing. To approximate average tax rates for income and consumption by country, ITIF used OECD data from its GRS database.[140] Income tax (attempting to aggregate national income) is approximated by the GRS database’s indicator “Taxes on Income, Profits, and Capital Gains.” Consumption tax (aggregating consumer activity nationwide) is proxied by the GRS indicator “General Taxes on Goods and Services.” Table 7 summarizes the tax rates used to assess each country’s growth-revenue estimates attributable to ITA-3 accession.

Table 7: Generalized effective tax rates[141]

Country

ITA-3 Tariff Rate

Income Tax Rate

Consumption Tax Rate on Goods and Services

Argentina

6.17%

5.41%

10.87%

Brazil

5.22%

7.04%

11.68%

Cambodia

1.97%

5.90%

6.16%

Canada

0.88%

17.10%

4.70%

China

1.69%

5.37%

6.09%

Costa Rica

1.55%

4.54%

4.54%

EU 27

0.55%

11.90%

6.50%

India

8.28%

7.70%

4.60%

Indonesia

1.27%

3.85%

2.92%

Japan

1.00%

10.09%

4.94%

Kenya

8.47%

6.87%

3.49%

Lao PDR

1.99%

1.84%

2.73%

Malaysia

0.26%

7.52%

1.04%

Mexico

0.75%

7.57%

4.23%

Nigeria

5.96%

2.72%

0.99%

Pakistan

6.57%

3.12%

4.12%

South Korea

1.23%

8.58%

4.20%

Taiwan

3.05%

7.70%

4.60%

Thailand

3.87%

5.75%

3.48%

United States

2.95%

11.71%

2.15%

United Kingdom

1.03%

11.50%

6.49%

Vietnam

1.08%

5.95%

5.44%

The model applies these generalized effective tax rates onto ITIF’s estimations of GDP growth attributable to the ITA-3. Table 8 and table 9 summarize the short- and long-run revenue implications of ITA accession. In all short-run cases, removing tariffs on ITA-3 products indeed creates a revenue shortfall. Even countries with the highest share of revenues recovered, such as Argentina and Brazil, whose high tariff rates cause them to recover an estimated 52.5 percent and 52.3 percent of revenue forgone, respectively, still experience a short-term loss. Despite this, Argentina and Brazil already recover more than half of the revenue lost in the first year. Conversely, Lao PDR, Thailand, Malaysia, and Vietnam would be impacted the most in the short term, as these four countries would recover about 10 percent of revenue lost in the first year.

Table 8: Year 1 tax revenue impact from joining an ITA-3[142]

Country

Tariff Revenue Forgone (millions)

Consumption Tax Revenue Gained (millions)

Income Tax Revenue Gained (millions)

Revenue Gained as Percentage of Revenue Foregone

Argentina

$134.5

$19.0

$51.5

52.5%

Brazil

$472.7

$71.8

$175.4

52.3%

Cambodia

$9.3

$0.7

$0.8

16.5%

Canada

$171.6

$10.5

$66.4

44.8%

China

$1,443.5

$114.2

$428.5

37.6%

Costa Rica

$16.0

$0.9

$1.3

13.9%

EU 27

$666.9

$56.4

$263.4

47.9%

India

$1,232.0

$73.7

$501.3

46.7%

Indonesia

$84.8

$3.2

$14.6

21.0%

Japan

$303.6

$19.5

$112.0

43.3%

Kenya

$44.7

$2.0

$15.1

38.3%

Lao PDR

$3.9

$0.1

$0.2

8.9%

Malaysia

$21.6

$0.3

$1.9

10.1%

Mexico

$274.3

$15.1

$17.5

11.9%

Nigeria

$88.6

$1.1

$22.2

26.3%

Pakistan

$113.4

$6.1

$21.8

24.6%

South Korea

$283.9

$15.5

$48.3

22.5%

Taiwan

$386.4

$23.1

$48.7

18.6%

Thailand

$492.1

$22.3

$25.6

9.7%

United States

$4,804.5

$134.2

$1,913.1

42.6%

UK

$278.0

$23.4

$92.2

41.6%

Vietnam

$198.4

$14.0

$6.3

10.3%

Table 9: Year 10 tax revenue impact from joining an ITA-3

Country

Tariff Revenue Forgone (millions)

Consumption Tax Revenue Gained (millions)

Income Tax Revenue Gained (millions)

Revenue Gained as Percentage of Revenue Foregone

Argentina

$234.6

$33.2

$542.6

245%

Brazil

$1,351.5

$205.3

$2,241.3

181%

Cambodia

$55.8

$4.5

$14.8

35%

Canada

$267.1

$16.3

$796.5

304%

China

$4,345.9

$344.0

$7,911.9

190%

Costa Rica

$24.8

$1.5

$16.5

72%

EU 27

$1,483.1

$125.3

$3,417.5

239%

India

$4,186.4

$250.3

$7,795.4

192%

Indonesia

$210.4

$8.0

$218.6

108%

Japan

$525.2

$33.7

$1,234.3

241%

Kenya

$89.8

$4.1

$219.2

249%

Lao PDR

$8.8

$0.3

$3.4

43%

Malaysia

$46.3

$0.6

$26.2

58%

Mexico

$524.7

$28.8

$201.7

44%

Nigeria

$219.2

$2.8

$280.0

129%

Pakistan

$360.7

$19.3

$336.3

99%

South Korea

$712.2

$38.9

$678.6

101%

Taiwan

$1,141.8

$68.3

$786.6

75%

Thailand

$1,025.1

$46.4

$313.8

35%

United States

$8,525.6

$238.1

$24,355.6

288%

UK

$338.7

$28.6

$983.3

299%

Vietnam

$730.8

$51.6

$117.6

23%


However, significant losses in the short run don’t necessarily mean large losses over the long run. These macroeconomic net effects recover as time passes and ICT bolsters the economy. By Year 10, Malaysia recovers more than half of the annual revenue hole created from eliminating ITA-3 tariffs. In Year 1, Lao PDR and Thailand recover smaller shares of revenue forgone than Vietnam, but by Year 10, Vietnam’s share of taxes recovered only rises by about 13 percentage points.

ITA-3 accession is an especially win-win trade policy for nations estimated to experience economic growth while also fully closing their tariff revenue hole by Year 10. For instance, Kenya grows its economy by 2.3 percent after 10 years of cumulative ICT-induced growth. It also recovers 249 percent of tariff revenue forgone during its 10th year after joining the ITA-3, more than completely filling the revenue shortfall created from eliminating the tariffs. India, after 10 years, grows its economy by over 2.5 percent and recovers 192 percent of revenue forgone. India’s new tax revenue in Year 10 nearly doubles the value of tariff revenues forgone in Year 10 due simply to the fact that its expected GDP growth raises income and consumption taxes collected.

Tariff losses in the short run from ITA-3 accession don’t necessarily indicate large revenue losses over the long run, thanks to the increased economic growth ITA participation engenders.

Moreover, the European Union and Kenya both recover about the same share of revenue foregone: 239 and 249 percent, respectively. While the European Union and Kenya differ in their ITA-3 tariff rates and total GDP growth attributable to ITA-3, they experience roughly the same shares of revenue recovered in Year 10 because of the European Union’s larger absolute GDP but slower GDP growth rate in the status quo before joining the ITA-3. The European Union’s 2021 real GDP was over 168 times larger than Kenya’s, so the nation raises higher total revenues that make its share of recovered revenue in Year 10 similar to Kenya’s. Argentina’s generalized effective tax rates are also unique to the set. It’s the only country in the study whose consumption tax is more than twice as high as its income rate. Argentina’s low income tax rate of 5.41 percent means that its government may expect a lower rate of return than would other countries on taxable growth. Even so, it remains a top beneficiary of an ITA-3 in both growth and revenue recovery. Of the 21 countries and the European Union, 12 countries and the European Union create more tax revenue than they forgo by the 10th year after ITA-3 accession. Further, four more countries—Pakistan, Taiwan, Costa Rica, and Malaysia—recover over half of their tariff revenue shortfall by Year 10.

Two notable outliers in the study are Cambodia and Vietnam with their low share of forgone revenue recovered in Year 10. Cambodia recovers 35 percent and Vietnam recovers just 23 percent. Their outlier status is due mainly to three factors. First, they are developing nations with lower absolute GDP than other countries in the study. Second, they have exceptionally high annual import growth rates in the status quo with no ITA-3 accession, at rates more than double their average yearly GDP growth rates. And third, the two nations have low average tariff rates on ITA-3 goods. These three economic characteristics lower the marginal value of taxing GDP growth instead of import growth. With high import growth rates (19.7 percent for Cambodia and 13.9 percent for Vietnam) in the status quo, and also low tariff rates, these countries are rare exceptions wherein imports are relatively price inelastic. Import growth remains high even with minor tariffs imposed, so their marginal increase in imports by lifting ITA-3 tariffs is less valuable for revenue creation than for other countries in the study. These circumstances, however, do not indicate that these countries, or any other country in the model, lack clear economic benefits from joining an ITA-3. All countries still experience valuable GDP growth over 10 years attributable to an ITA-3. However, some countries would still face long-run trade-offs in their revenue policy when considering joining the ITA-3. But for almost every country examined in this model, that trade-off is clear: ITA-3 accession promotes increased consumption of ICT imports, which increases a nation’s ICT capital stock. A growing ICT capital stock produces numerous positive economic benefits by raising productivity and expanding access to digital services. Productivity-enhancing ICT expansion ultimately drives at-large economic growth.

Further Implications for Developing Nations

Bridging the Digital Divide

Joining the ITA provides a pro-growth alternative for nations to collect tax revenues more efficiently, while helping developing countries bridge the digital divide, participate in global technology supply chains, and improve quality of life in a larger and more-productive economy. Among study countries, most identify as developing economies under the WTO (although China should now certainly be accounted for as a developed economy, especially with respect to the ICT sector). While members of the WTO declare their development status because the WTO provides no formal definition between developed and developing countries, some general disparities still remain. Developing nations typically have lower GDP per capita and lower overall standards of living.[143]

One particular line observed between developed and developing countries is the growing digital divide between them. Developing nations, lagging behind the developed world’s level of digital services, technology innovations, and overall ICT capital stock, have a unique advantage in joining the ITA. As detailed in the previous section, joining the ITA-3 provides clear economic growth potential, which can help countries recover a large share of tax revenue forgone. In addition, an expansion in ICT capital stock achieved by joining the ITA is a benefit all its own for developing nations. Beyond implications on growth and revenue, developing countries’ improving access to world-leading technologies used by global pacesetters improves their competitive edge and produces other positive externalities through the proliferation of new ICT-powered digital services and participation in GVCs.

In most cases, developing nations experience more significant cumulative growth in their ICT capital stock over 10 years than do developed ones. While developed nations would create more considerable additions to their ICT capital stock in absolute terms, their percentage growth is heavily outweighed by developing partners. On average, in this sample, developing nations can anticipate a 10-year growth in their net ICT capital stock of 80 percent due to an ITA-3, whereas developed ones (European Union, Japan, South Korea, the United Kingdom, Canada, and the United States) only realize a 38 percent increase. (See table 10.)


Table 10: Nations’ ICT capital stock growth resulting from an ITA-3 accession[144]

Country

Real GDP per Capita, 2021

Annual Real GDP Growth Rate (2017–2021)

Net ICT Capital Stock, Year 1 (millions)

Cumulative 10-Year % Growth in Net ICT Capital Stock Attributable to ITA-3

Cumulative 10-Year Growth in Net ICT Capital Stock Attributable to ITA-3 (millions)

Argentina

$13,448

-0.27%

$6,777

36.45%

$2,470

Brazil

$8,538

1.01%

$27,075

78.85%

$21,349

Cambodia

$1,428

4.27%

$1,281

183.73%

$2,354

Canada

$43,948

1.40%

$57,877

27.53%

$15,936

China

$11,188

6.00%

$223,096

101.83%

$227,180

Costa Rica

$12,894

2.54%

$2,941

32.69%

$993

EU 27

$34,021

1.44%

$357,550

50.57%

$180,826

India

$1,977

3.81%

$41,063

119.90%

$49,236

Indonesia

$3,893

3.38%

$18,615

69.54%

$12,944

Japan

$35,291

-0.17%

$94,550

27.97%

$26,449

Kenya

$1,706

4.37%

$1,434

71.25%

$1,022

Lao PDR

$2,655

5.07%

$530

69.61%

$369

Malaysia

$10,570

2.52%

$23,831

51.84%

$12,354

Mexico

$9,525

0.17%

$111,728

35.13%

$39,248

Nigeria

$2,437

1.36%

$4,404

69.31%

$3,052

Pakistan

$1,637

3.66%

$4,789

107.15%

$5,132

South Korea

$32,731

2.35%

$66,640

65.54%

$43,674

Taiwan

$31,071

4.19%

$34,646

93.82%

$32,505

Thailand

$6,126

1.18%

$37,827

50.87%

$19,242

United States

$61,830

2.13%

$470,941

42.03%

$197,917

UK

$45,304

0.45%

$82,163

11.51%

$9,455

Vietnam

$3,409

5.44%

$48,392

119.72%

$57,935

Benefits of ITA-3 Membership by Regional Organization or Economic Agreement

In addition to analyzing the economic impact of individual countries and the European Union, ITIF’s study also examines the impact of possible ITA-3 membership by region and economic agreement. The 21 countries in the study and the European Union were grouped into five regions to further analyze the impact of a possible ITA-3. The five regions are the Americas, Asia, Africa, Europe, and the Middle East. Moreover, the study examines the collective impact of ITA-3 membership on Asia-Pacific Economic Cooperation (APEC) and ASEAN countries.

Table 11 summarizes key findings from this regional analysis of potential ITA-3 accession. ITIF has found that if the Middle Eastern countries studied in the report joined an ITA-3, the region would stand to grow the most 10 years post accession, or 1.99 percent greater than without accession. The economies of the other regions could also grow between 0.18 percent and 1.86 percent 10 years post ITA-3 accession. All regions, except the Middle East, could expect to recover their tariff revenues foregone from the tax revenue generated from greater consumption and economic growth. Africa and Europe are expected to recover the most tax revenue, at 228 and 249 percent of tariffs forgone, respectively. The Middle East is also expected to recover almost all (98.6 percent) of its foregone tariffs.

Table 11: Regional economic and tariff impact of ITA-3 accession[145]

Region

GDP (2021, billions)

Weighted Average Effective Applied ITA Tariff Rate

Year-1 GDP Growth Attributable to Full ITA Membership

Cumulative 10-Year GDP Growth Attributable to Full ITA Membership

Cumulative 10-Year GDP Growth Attributable to Full ITA Membership (billions)

Tax Revenue Generated as Share of Tariff Revenue Forgone (%)

Difference in Tax Revenue during Year 10 of ITA Accession (millions)

Americas

$25,929

2.61%

0.07%

0.73%

$226.8

195.13%

$10,269

Asia

$27,675

2.12%

0.06%

0.64%

$265.6

146.07%

$5,559

Africa

$611

6.64%

0.18%

1.86%

$13.6

228.46%

$370

Europe

$18,250

0.64%

0.02%

0.18%

$38.0

249.01%

$2,757

Middle East

$379

6.57%

0.18%

1.99%

$10.8

98.59%

-$5

APEC

$47,059

1.94%

0.05%

0.57%

$362.3

175.25%

$13,404

ASEAN

$2,235

0.94%

0.03%

0.29%

$8.7

44.01%

-$634

The APEC and ASEAN countries in our study could expect to grow 0.57 and 0.29 percent, respectively, 10 years post-ITA accession. In absolute terms, this means the APEC region could expect $362 billion in GDP growth and ASEAN could realize $8.7 billion. APEC countries would be able to recover their tax revenue foregone (175 percent) from eliminating tariffs and ASEAN countries could expect to recover almost half (44 percent) of tariff revenue foregone. ASEAN’s low tax revenue generated as a share of tariff foregone is partially because five of the six ASEAN countries in our dataset (Indonesia the exception) couldn’t sufficiently recover tariffs foregone.

Among specific nations, three stand out in particular that could especially benefit from full ITA accession: Costa Rica (joining an ITA-3), the Dominican Republic (joining an ITA-3), and Vietnam (joining ITA-2 and ITA-3). That’s particularly so because those countries are richly poised to benefit from the ongoing restructuring of GVCs for the production of ICT goods. Box 1 examines these nations’ ICT economies in further detail.

Box 1: The Benefits of Full ITA Participation for Costa Rica, the Dominican Republic, and Vietnam

Costa Rica

Costa Rica: Between 1995 and 2022, Costa Rica’s exports of ICT services grew from $57 million to over $1.8 billion.[146] Those exports represent a nontrivial segment of Costa Rica’s traded services. In 2022, ICT services comprised almost 16 percent of the country’s services exports. That was up from only about 5 percent for service exports in 1995.[147] Additionally, the information and communications services sector provides about 45,800 Costa Rican jobs.[148]

Entrance into an ITA-3 would provide considerable support to Costa Rica’s ICT workforce. It would also have additional effects on the ICT industry and the country’s economy more broadly. ITIF estimates that doing so would increase the country’s ICT capital stock by around $21 million, as shown in table 4. Additionally, ITIF estimates that Costa Rica’s 10-year GDP would increase by around $400 million, or 0.42 percent, as shown in table 1.

Dominican Republic

The Dominican Republic has a relatively small, but quickly growing, ICT sector. Exports of ICT goods have nearly tripled from about $94 million in 2010 to $278 million in 2021.[149] Similarly, between 2012 and 2021, those exports more than doubled from 0.9 percent to 2.4 percent of all goods exports.[150] On top of ICT goods exports, there has also been noticeable growth in exports of ICT services, which grew from about $174 million in 2005 to $483 million in 2016.[151] Additionally, information and communications industries employ around 45,400 persons, which is about 1 percent of the country’s non-farm labor force.[152] In addition to its ICT goods and services exports, the country also imports a fair amount of ICT goods, which have grown from being 2.6 percent to 5.0 percent of all goods imports from 2004 to 2021.[153]

The Dominican Republic’s government already offers tax incentives via the establishment of free economic zones.[154] The country also offers logistical advantages over its regional competitors, as its infrastructure ranks among the best in Latin America and the Caribbean.[155] The Dominican Republic should consider supporting the latest proposed expansion of the ITA. Doing so would not only exert a positive effect on the ICT industry, but also by continuing to provide a zero-in/zero-out tariff environment for all ITA-covered goods, the country could maximize its attractiveness as a location for semiconductor assembly, test, and packaging value chain activity while also bolstering its economy more broadly. Moreover, by reducing tariffs on (and thus the prices of) ICT goods via entrance into an ITA-3, the Dominican Republic could experience an increase in its ICT capital stock, which, in turn, would result in long-term productivity gains and greater competitiveness of its ICT exports.

Vietnam

ICT goods have grown to become a significant component of Vietnam’s traded sector. Exports of ICT goods have risen from constituting 5.4 percent of its goods exports in 2000 to almost 39 percent of goods exports in 2020.[156] The information and communications services sector also employs almost 314,000 workers.[157]

Joining the ITA-3 would be especially critical for Vietnam’s ICT exporters. ITIF estimates that Vietnam’s ICT capital stock would increase by around $258 million, as shown in table 4. Additionally, ITIF estimates that Vietnam would add around $2 billion, or 0.35 percent, to its 10-year GDP, as shown in table 1.

Assessment of Full ITA Membership for Non-ITA or ITA-1-Only Nations

In addition to analyzing the economic impacts of the proposed ITA-3, ITIF’s study also examines the economic impact of full ITA accession for the study countries that aren’t yet fully in either the ITA-1 or ITA-2, which for this analysis meant analyzing Argentina, Brazil, Cambodia, Kenya, Lao PDR, Mexico, Nigeria, and Pakistan’s full accession to the ITA (ITA-1, ITA-2, and ITA-3) and for Vietnam, India, and Indonesia, their joining the ITA-2 and ITA-3.[158]

If Brazil and Pakistan joined the ITA all the way through the here-proposed ITA-3, they could expect their economies to become 8.6 percent and 7.7 percent larger, respectively, after 10 years than would otherwise be the case.

Table 12 summarizes key findings from an economic analysis of these countries’ potential full ITA accession. The analysis finds that if Brazil and Pakistan joined the ITA in full, each could expect their economy to cumulatively grow to be approximately 8.6 and 7.7 percent higher, respectively, than would otherwise be the case over the 10 years post ITA-3 accession. The economies of the other nations without any access to the ITA could grow between 0.49 and 6.8 percent 10 years post ITA-3 accession. Five of the eight countries without ITA accession would more than fully recover their tariffs forgone after 10 years and Lao PDR and Mexico would come close (more than half of the way there) while Cambodia would need to seek revenue alternatives.

Of the three remaining countries with ITA-1 accession, Vietnam and Indonesia could expect a lower growth of 0.44 and 0.77 percent, respectively. Their lower growth compared to nations without any ITA accession is partially because both are already part of ITA-1. India is an outlier in this group because it could expect its economy to grow 8 percent 10 years post ITA-2 and ITA-3 accession. This is because of its higher average effective ITA applied tariff rate compared with Vietnam and Indonesia. Two of these three countries—India and Indonesia—could fully recover their tariffs foregone after 10 years while Vietnam (due to its unique tax structure) would need to seek revenue alternatives.

Under full ITA accession, all nations modeled would experience more improvement in long-run growth than in the scenario of just joining the ITA-3. These estimates vary in their marginal improvements based on a country’s intensity of tariffs and volume of trade for products included under ITA-1 and ITA-2. But extending the methodology for ITA-3 estimates to full ITA membership introduces modeling limitations. For instance, calculating net ICT capital stock in the status quo when tracking all products covered in full ITA membership gives a larger estimate for a nation’s base value of ICT capital stock in the status quo (before any ITA adoption) than would be estimated with just ITA-3 products. So to maintain consistency when analyzing countries within the model, the same estimates for base ICT capital stock in the ITA-3 model are applied to full ITA models.

Table 12: The economic and tariff impact of full ITA membership, select nations[159]

Country

GDP (2021, billions)

Weighted Average Effective Applied ITA Tariff Rate

Year-1 GDP Growth Attributable to Full ITA Membership

Cumulative 10-Year GDP Growth Attributable to Full ITA Membership

Cumulative 10-Year GDP Growth Attributable to Full ITA Membership (billions)

Tax Revenue Generated, as Share of Tariff Revenue Forgone (%)

Difference in Tax Revenue during Year 10 of ITA Accession (millions)

Argentina

$616

5.2%

0.56%

6.1%

$36.7

264.9%

$1,309

Brazil

$1,830

7.1%

0.71%

8.6%

$174.6

170.0%

$5,513

Cambodia

$24

2.7%

0.20%

2.4%

$0.9

29.9%

-$156

Kenya

$90

5.1%

0.45%

4.3%

$5.9

368.6%

$302

Lao PDR

$20

1.3%

0.09%

0.9%

$0.3

75.7%

-$2

Mexico

$1,207

0.5%

0.04%

0.5%

$6.0

58.3%

-$370

Nigeria

$520

7.5%

0.62%

6.8%

$40.3

121.0%

$192

Pakistan

$379

6.2%

0.71%

7.7%

$41.6

103.6%

$48

Vietnam

$332

0.3%

0.04%

0.4%

$2.5

23.2%

-$697

India

$2,782

7.1%

0.76%

8.0%

$323.6

198.8%

$12,764

Indonesia

$1,066

0.9%

0.07%

0.8%

$11.5

108.6%

$36

Second, average effective applied tariff rates between products in full ITA coverage may be lower than rates calculated solely for ITA-3 in some countries if they simply have lower average effective tariffs applied on ITA-1 and ITA-2 products than they do on ITA-3 goods. With a lower average effective tariff rate on full ITA membership, growth could be underestimated compared with ITA-3 estimates, even when full ITA membership accounts for more imports. To help correct for this, ITIF calculated trade volume-weighted average tariff rates per country to more accurately reflect tariff rates applied to ITA-3 goods and previous ITA goods. Despite these limitations, the results regarding the economic impacts of full ITA accession add robustness to the findings reported by the general ITA-3 model. Smaller developing nations such as Vietnam and Kenya still find their ICT capital stock growing at much faster rates than do developed ones from joining the ITA. Moreover, all countries, regardless of their development status, enjoy higher economic growth cumulatively over 10 years and, through regular taxation on consumption and income, recover some or all of their tariff revenue forgone to spur ICT-driven growth.

The Impact of ITA-3 Expansion for the United States

Evidence suggests that the ITA has been beneficial for the United States, both in terms of fostering the competitiveness of U.S. ICT industries and (as noted earlier) in reducing prices for ICT products that bolster productivity and enhance quality of life, such as personal computers and TVs. Regarding enhancing the competitiveness of the U.S. ICT sector, a 2016 study by the U.S. International Trade Commission “suggests that the ITA had a positive and statistically significant impact on U.S. exports of the covered products to the ITA member countries. The estimated impact on U.S. exports was $34.4 billion in 2010 (a 56.7 percent increase relative to the baseline).”[160]

ITIF finds that an ITA-3 would also produce considerable benefits for the U.S. economy, including by contributing $208 billion in economic growth over a 10-year period, boosting U.S. exports of ICT products by $2.8 billion, increasing revenues of U.S. ICT firms by $6.9 billion, and supporting the creation of almost 60,000 new U.S. jobs.

U.S. exports of proposed ITA-3 products to the 21 other nations and the European Union in this study tallied $56.3 billion in 2021.[161] Noting that these 21 nations and the European Union account for 75.8 percent of global ICT imports, ITIF applied a scaling factor of 1.32 to account for the exports of ITA-3 products U.S. firms make to other nations not in the study, leaving an estimate that total U.S. exports of proposed ITA-3 products to the world equals $74.2 billion. The country-weighted average of tariffs imposed on ITA-3 products by the 21 other countries in this report (plus EU 27 countries) is 2.9 percent (which ITIF here used as a rough proxy for a global average), so applying this and the aforementioned 1.3 elasticity multiplier suggests that the increase in global import demand for U.S. exports of ITA-3 products would be $2.8 billion.

Given that the U.S. Department of Commerce reports that, for every $1 billion in manufacturing exports, 6,250 jobs in manufacturing companies are created or supported, ITA-3 expansion would directly support the creation of approximately 17,453 jobs.[162] In January 2019, the Economic Policy Institute (EPI) provided updated employment multipliers for certain jobs in the U.S. economy, finding that each 100 jobs in durable manufacturing support an additional 289.1 jobs; that is, they have a multiplier of 2.89.[163] Applying this factor to 17,453 jobs created from the increased exports of ITA-3 products yields 50,438 new U.S. jobs created.

An ITA-3 would also produce considerable benefits for the U.S. economy, including by contributing $208 billion in economic growth over a 10-year period, boosting U.S. exports of ICT products by $2.8 billion, increasing revenues of U.S. ICT firms by $6.9 billion, and supporting the creation of almost 60,000 new U.S. jobs.

However, new American jobs would also be created through an additional dynamic. ITIF estimated, based on applying the previously described dynamics of decreasing tariff rates and the elasticity multiplier, that a fully implemented ITA-3 would result in a $19.8 billion increase in global imports of such ITA-3 products. Since U.S.-headquartered ICT enterprises account for about 34.7 percent of global ICT market share as of 2021, this means a significant share of this increased global demand will be filled by U.S. ICT-headquartered enterprises, even if those U.S. ICT goods manufacturers assemble certain products in Taiwan, China, or elsewhere that are destined for sale in Germany or South Africa.[164] In other words, it’s not just about exports from within U.S. borders. Making the ITA larger would expand the overall global ICT market, making the U.S. ICT industry stronger in the process.[165] Thus, U.S. headquartered-enterprises, even if filling export orders from foreign affiliates, subsidiaries, or factories, may capture as much as $6.9 billion of this market. Indeed, even when some of those jobs are filled abroad, they often support U.S. employment at home, because employment in U.S. parents is likely to increase with increases in U.S. affiliate activity. In fact, one study finds that an increase in U.S. affiliate employment of 1 percent is associated with an increase in parent employment of 0.2 percent.[166] In other words, U.S. affiliate activity abroad is often a complement to, rather than a substitute for, the activity of parent companies in the United States.[167]

Considering that the average revenue per employee of the top 10 U.S. ICT goods manufacturers is about $500,000, this suggests that about 13,712 new workers will be needed to meet this demand. And with the average ratio of U.S. to foreign employees for the top 10 U.S. ICT goods manufacturers being about 0.47, this suggests that about 6,444 new jobs would be located in the United States. Presuming that many of these jobs would likely be in supportive research and development, supply chain, logistics, or other administrative roles, ITIF applied the very modest EPI multiplier of 1.42 for jobs in professional, scientific, and technical services fields to arrive at a total number of about 9,151 new jobs created through this dynamic, thus arriving at the total of 59,590 U.S. jobs created from a possible ITA-3 expansion.[168]

Conclusion

The ITA represents one of the world’s most successful plurilateral trade agreements. By creating zero-in/zero-out tariff environments, it has played a catalytic role in contributing to the evolution of global ICT GVCs that have enabled countries and enterprises to specialize in market segments wherein they enjoy a competitive advantage for the production of ICT goods. This, for instance, has led to semiconductors becoming the world’s fourth-most-traded product.[169] At the same time, by reducing their prices through tariff elimination, the ITA has facilitated greater global consumption of the ICT goods that lie at the heart of and fundamentally make possible the global digital economy. This increasing ICT capital stock within nations bolsters the productivity and innovation capacity of businesses (large and small alike), workers, households, and individuals, translating to increased economic growth for all participants.

Embracing an ITA-3 would expand the range of productivity- and innovation-enhancing ICT products under ITA coverage, ensuring that the most novel, cutting-edge ICT products (including the most-current-generation forms of these technologies) are included. As noted, these products are already delivering significant environmental, health, climate, and production benefits—and nations would be wise to include such products in an ITA-3 both to bolster the competitiveness of their own domestic industries and in the interest of achieving greater domestic, and global, economic growth. Moreover, an ITA-3 would produce considerable economic, export, and employment growth for the United States and the world. Now nearly a decade from when global stakeholders began to consider the initial ITA expansion, and seven years on from ITA-2 implementation, it is time for nations to start thinking about an ITA-3, and carrying forward the robust momentum produced by the original ITA and its 2016 expansion.

Appendix A: List of Countries by Current ITA Membership

ITA Signatory[170]

Joined ITA-2?

ITA Signatory[171]

Joined ITA-2?

Afghanistan

No

Liechtenstein

Yes

Albania

Yes

Lithuania

Yes

Australia

Yes

Luxembourg

Yes

Austria

Yes

Macao

No

Bahrain

No

Malaysia

Yes

Belgium

Yes

Malta

Yes

Bulgaria

Yes

Mauritius

Yes

Canada

Yes

Moldova

No

China

Yes

Montenegro

Yes

Colombia

Yes

Morocco

No

Costa Rica

Yes

Netherlands

Yes

Croatia

Yes

New Zealand

Yes

Cyprus

Yes

Nicaragua

No

Czech Republic

Yes

Norway

Yes

Denmark

Yes

Oman

No

Dominican Republic

No

Panama

No

Egypt

No

Peru

No

El Salvador

No

Philippines

Yes

Estonia

Yes

Poland

Yes

Finland

Yes

Portugal

Yes

France

Yes

Qatar

No

Georgia

No

Romania

Yes

Germany

Yes

Russia

No

Greece

Yes

Saudi Arabia

No

Guatemala

Yes

Seychelles

No

Honduras

No

Singapore

Yes

Hong Kong

Yes

Slovakia

Yes

Hungary

Yes

Slovenia

Yes

Iceland

Yes

South Korea

Yes

India

No

Spain

Yes

Indonesia

No

Sweden

Yes

Ireland

Yes

Switzerland

Yes

Israel

Yes

Taiwan

Yes

Italy

Yes

Tajikistan

No

Japan

Yes

Thailand

Yes

Jordan

No

Turkey

No

Kazakhstan

No

Ukraine

No

Kuwait

No

United Arab Emirates

No

Kyrgyz Republic

No

United Kingdom

Yes

Latvia

Yes

United States

Yes

Lao PDR

Yes

Vietnam

No

Appendix B: Growth-Revenue Estimates Methodology

Calculating ITA Trade Flows

Data for calculating trade in ITA goods comes from the UN Comtrade Database. The database provides the value and weight of imports and exports between each country and its trading partners broken down by year and commodity type. Of the three classification systems provided by UN Comtrade, ITIF identified commodities codes covered under the ITA through the HS. Since signatories first formed the ITA in 1996, HS1996 codes have identified product classification of ITA-covered imports. Similarly, negotiating countries of the 2015 ITA expansion identified ITA-covered goods using HS2007 codes. While the HS is extensive, some commodities covered under the ITA lack a relevant HS code, which ITA clauses refer to as “Attachment B” products.

As new iterations of the HS are released, more Attachment B products become accounted for under HS6 codes. Whereas ITIF’s 2017 analysis on the ITA utilizing HS2007 six-digit codes counted 144 product codes in the ITA-1 and 201 in the ITA-2, recounting them for this paper’s analysis on full ITA accession (plus ITA 3 Proposal) under their HS2017 six-digit codes identifies 223 codes included by ITA-1 and 266 codes in ITA-2. Beyond products recognized by the HS2017 update, ITIF’s analysis excludes those remaining Attachment B products for consistency purposes across countries.

From a list of more than 400 recommended product descriptions produced by industry leaders in international ICT trade, ITIF formed a set of 301 unique six-digit product codes according to the HS2017 classification system. To maintain consistency between modeling the ITA-3 with HS2017 codes versus modeling ITA membership in full (including ITA 3 Proposal), HS2007 codes for ITA-1 and ITA-2 identified by ITIF’s 2017 study “How Joining the Information Technology Agreement Spurs Growth in Developing Nations” are transposed to corresponding codes under HS2017.[172] Since the HS classification makes significant changes to its product groupings with each update, ITIF changed ITA-1 and ITA-2 codes from HS2007 first to HS2012 and then to HS2017 counterparts to ensure accuracy when comparing present import data for originally identified ITA-1 and ITA-2 products alongside proposed ITA-3 products.

While the most-specific product coding maintained between all countries is at the six-digit level, only some HS six-digit codes listed under ITA coverage have all commodities within their coding included under the enacted/proposed agreement’s coverage. To capture the share of items per HS6 codes that are covered, ITIF used adjustment factors calculated from the UN Comtrade Database’s harmonized tariff schedule codes (HTS) for the United States, which further designate commodity classifications by 8-digit (HTS8) and even 10-digit (HTS10) codes. Adjustment factors are the shares of U.S. HTS8/HTS10 codes included by ITA coverage out of all products contained by a given HS6 code. Adjustment factors calculated this way are then applied as proxies to adjust import values for all countries in the model set.

In transposing ITA-1 and ITA-2 codes into the HS2017 six-digit level, some codes appear as duplicates in two or even all lists. Duplicate codes appear either due to the six-digit commodity group only being partially covered in one agreement and then partially covered again in the other(s) or due to updates from HS2007 to HS2017 changing the types of commodities within that six-digit commodity line. Because the completed list of ITA products underwent multiple transformations, and in each of those transformations, some commodity codes did not fully translate onto their updated codes, our finalized data on traded goods contains some degree of unavoidable error. UN Comtrade provides trade flows at the HS2017 six-digit level, and each country’s total value of ITA imports is summed based on each HS2017 six-digit line covered in ITIF’s list of ITA products. By multiplying these import-value sums per HS2017 six-digit code in every country by their corresponding proxy adjustment factor, ITIF accounted for the total value of HS codes partially covered by the ITA agreement.

Some products, however, within a commodity code may be similar enough to one another to be substituted for certain ICT products. As countries eliminate tariffs on ITA-covered products within a commodity, some consumers of non-ITA-covered substitutes within the same commodity code could expect to switch their demand to the product included by ITA coverage. This substitution effect would induce additional demand beyond what ITIF calculated using import demand elasticities, thus making capital stock growth from ITA accession more significant than what ITIF can compute from its growth-revenue model.

Calculating ITA Tariffs

Data for estimating the value of tariffs comes from the World Bank’s World Integrated Trade Solution (WITS) TRAINS database. ITIF’s model takes tariff line rates from the database and collapses that data to an HS6 basis using a simple average for each country. WITS TRAINS imports data provides most-favored-nation rates and preference rates between countries, allowing ITIF to produce trade-value-weighted average tariff rates applied to ITA products. The value of ITA tariff revenues are derived from the relative share of reported tariff revenues collected by the government. Data on the total reported tariff revenues collected by each country’s government comes from OECD’s GRS Database. Since OECD data does not include Taiwan and India, the entry for Asia-Pacific approximates it instead. OECD data also did not provide tariff revenue figures for Vietnam. As a result, the excise tax on imports as a share of GDP was used with 2021 official GDP figures as a proxy. Therefore, the model assumes all international trade tax revenues are equivalent to tariff revenues. When extending this assumption, other tax-revenue sources collapse into broader categories to target specific tax effects when eliminating ITA tariffs.

ITIF calculated tariff revenue obtained from ITA imports by multiplying the import value of each ITA HS six-digit commodity by its corresponding most-favored-nation/preference-adjusted tariff derived from the WITS database. Next, the model takes the total reported WITS tariff revenue for all ITA imports. The first estimate expresses the unadjusted value of ITA tariff revenue as a share of total unadjusted tariff revenue. The model likely overestimates unadjusted tariff revenue because it does not discriminate against the country expectedly importing more from partners with which it has existing trade agreements. However, by adjusting this share by the actual tariff revenue obtained from the government, a suitable estimate for tariff revenue gained through ITA imports is derived, which partially accounts for the heterogeneity of tariffs across products and acknowledges ITA trade agreements’ tariff revenue-distorting effects.

Some further friction may occur within the adjusted ITA tariff revenues due to countries reporting their tax revenues by fiscal year compared with trade data reported by calendar year. ITIF calculated the real effective tariff rate on ITA products, once adjusted by the actual tariff revenue, by dividing the total value of ITA imports by the adjusted tariff revenue from ITA imports.

Appendix C: ITA Product Codes

Table 13, table 14, and table 15 provide references of all HS2017 codes that include ITA products. However, not all products in a code are ITA products.

Table 13: HS2017 codes included in the original Information Technology Agreement[173]

ITA-1

381800

847030

847982

851780

852499

853339

854270

901042

701710

847040

847989

851781

852510

853340

854280

901049

841989

847050

847990

851782

852520

853390

854290

901110

841990

847090

848071

851790

852530

853400

854310

901120

842119

847110

848610

851810

852540

853650

854311

901190

842191

847120

848620

851829

852550

853669

854330

901210

842489

847130

848630

851830

852560

853690

854370

901290

842490

847141

848640

851950

852580

854110

854380

901720

844331

847149

850440

852020

852790

854121

854381

901790

844332

847150

850450

852311

852810

854129

854389

902610

844339

847160

851410

852312

852820

854130

854390

902620

844399

847170

851420

852313

852910

854140

854441

902680

845610

847180

851430

852320

852990

854150

854442

902690

845611

847190

851490

852329

853120

854160

854449

902720

845612

847191

851710

852340

853190

854190

854451

902730

845690

847192

851711

852341

853210

854213

854470

902750

845691

847193

851712

852349

853221

854214

854800

902780

845699

847199

851718

852351

853222

854219

854890

902790

846410

847290

851719

852380

853223

854221

900659

903040

846420

847310

851720

852390

853224

854229

900911

903081

846490

847321

851721

852421

853225

854230

900921

903082

846691

847329

851722

852422

853229

854231

900990

903089

846900

847330

851730

852423

853230

854232

900991

903090

846910

847340

851740

852431

853290

854233

900992

903140

846911

847350

851750

852439

853310

854239

900993

903141

847010

847710

851761

852440

853321

854240

900999

903149

847021

847790

851762

852490

853329

854250

901020

903190

847029

847981

851769

852491

853331

854260

901041

Table 14: HS2017 codes included in the first expansion of the Information Technology Agreement[174]

ITA-2

350691

844399

848690

852010

852691

854231

901310

902490

370130

845611

850440

852031

852692

854232

901320

902519

370199

845612

850450

852032

852711

854233

901390

902590

370500

845620

850490

852033

852712

854239

901410

902710

370590

845630

850590

852039

852713

854290

901420

902780

370790

845690

851430

852090

852719

854320

901480

902790

390799

846221

851490

852110

852721

854330

901490

902830

841459

846229

851519

852190

852729

854340

901510

902890

841950

846599

851521

852290

852731

854370

901520

903010

842010

846610

851529

852321

852732

854389

901540

903020

842129

846620

851580

852329

852739

854390

901580

903031

842139

846630

851590

852330

852790

880250

901590

903032

842199

846692

851720

852340

852791

880260

901790

903033

842320

846693

851761

852341

852792

880390

901811

903039

842330

846694

851762

852349

852799

880520

901812

903083

842381

847210

851769

852351

852812

880521

901813

903084

842382

847290

851770

852352

852813

880529

901819

903089

842389

847340

851810

852359

852821

900120

901820

903090

842390

847520

851821

852380

852822

900190

901850

903110

842489

847521

851822

852410

852849

900219

901890

903149

842490

847590

851829

852421

852871

900220

902150

903180

842839

847619

851830

852422

852910

900290

902190

903190

842890

847689

851840

852423

852990

900912

902211

903220

843139

847690

851850

852432

853180

900922

902212

903281

844230

847720

851890

852451

853190

900930

902213

950410

844240

847730

851921

852452

853630

901020

902214

950430

844250

847740

851929

852453

853650

901030

902219

950450

844331

847759

851940

852460

853690

901050

902221

950490

844332

847780

851981

852520

853810

901060

902229

844339

847990

851989

852530

853939

901110

902230

844351

848610

851991

852550

854210

901180

902290

844360

848620

851992

852560

854211

901190

902300

844390

848630

851993

852580

854212

901210

902410

844391

848640

851999

852610

854220

901290

902480

Table 15: HS2017 codes included in the proposed second expansion of the Information Technology Agreement

ITA-3

280461

391620

750210

842211

847529

851440

854099

901730

281122

391690

750890

842240

847590

851610

854310

901780

281290

391740

760110

842310

847790

851650

854330

901814

281820

391910

760519

842710

847950

851660

854370

901831

282300

391990

761290

843311

847989

851671

854419

901832

282590

392049

761699

845011

847990

851679

854420

901839

282619

392099

800110

845640

848071

851680

854442

901890

282739

392119

800700

845650

848180

851690

854449

901910

283090

392190

810194

845710

848410

851920

854519

901920

284590

392310

810199

845720

850131

851930

854690

902140

284690

392390

810294

845730

850133

852210

854710

902290

285000

392490

810320

845811

850134

852721

854720

902511

285390

392610

810390

845891

850161

852842

854790

902580

292090

392690

810520

845921

850162

852852

871160

902810

292111

400510

810820

845931

850163

852859

880211

902820

293139

540771

810890

845941

850164

852862

880212

902910

293190

560311

811219

845951

850231

852869

880220

902920

320890

591140

811221

845961

850431

852872

880230

902990

321410

680421

811229

845970

850511

852873

880240

903210

321590

681510

811292

846012

850519

853110

880260

903289

340220

690911

811299

846022

850590

853540

900110

903290

340290

690912

820239

846023

850610

853590

900211

903300

340590

690919

820890

846024

850640

853610

900490

910291

350691

700220

830130

846031

850650

853641

900510

910511

350699

700231

830140

846040

850660

853669

900580

911320

370242

700600

841381

846090

850680

853670

900590

911390

370710

701710

841410

846120

850720

853710

900630

940169

380110

702000

841490

846130

850730

853890

900691

940310

381010

710691

841583

846150

850740

853950

900699

940320

382499

710813

841810

846190

850750

854011

900850

940390

390230

711590

841821

846231

850760

854012

901090

940540

390290

720390

841911

846241

850780

854020

901310

940592

390469

732690

841919

846291

850790

854040

901380

950300

390599

740319

841950

846299

850980

854060

901390

950450

390730

740819

841989

846510

851290

854079

901530

950691

390740

740829

842121

846592

851310

854081

901600

950691

391000

740919

842129

846595

851410

854089

901710

391610

741999

842139

847480

851430

854091

901720

Acknowledgments

This report was made possible in part by the generous support of the Semiconductor Industry Association (SIA). ITIF maintains complete editorial independence for all its work. All opinions, findings, and recommendations are those of ITIF and do not necessarily reflect the views of its supporters.

The authors would like to thank Robert D. Atkinson and Ian Tufts for their assistance with this report. Any errors and omissions are the authors’ alone.

About the Authors

ITIF Vice President, Global Innovation Policy Stephen J. Ezell focuses on science, technology, and innovation policy as well as international competitiveness and trade policy issues. He is the coauthor of Innovating in a Service Driven Economy: Insights Application, and Practice (Palgrave McMillan, 2015) and Innovation Economics: The Race for Global Advantage (Yale 2012).

Trelysa Long is a policy analyst for antitrust policy with ITIF’s Schumpeter Project on Competition Policy. She was previously an economic policy intern with the U.S. Chamber of Commerce. She earned her bachelor’s degree in economics and political science from the University of California, Irvine.

About ITIF

The Information Technology and Innovation Foundation (ITIF) is an independent, nonprofit, nonpartisan research and educational institute focusing on the intersection of technological innovation and public policy. Recognized by its peers in the think tank community as the global center of excellence for science and technology policy, ITIF’s mission is to formulate and promote policy solutions that accelerate innovation and boost productivity to spur growth, opportunity, and progress.

For more information, visit us at itif.org.

Endnotes

[1].         Office of the United States Trade Representative (USTR), “U.S. and WTO Partners Begin Implementation of the Expansion of the Information Technology Agreement,” news release, July 2016, https://ustr.gov/about-us/policy-offices/press-office/press-releases/2016/july/us-and-wto-partners-begin.

[2].         For the purposes of this report, ITA-1 = The original 1996 ITA agreement; ITA-2 = the 2016 ITA expansion; and ITA-3 = future possible expansion to ITA-1 and -2. Moreover, for those nations not yet in the ITA-1 or ITA-2, this report examines the impact of their full ITA accession, all the way through the proposed ITA-3.

[3].         “Information Technology Agreement,” World Trade Organization, accessed November 1, 2016, https://www.wto.org/english/tratop_e/inftec_e/inftec_e.htm.

[4].         USTR, “U.S. and WTO Partners Begin Implementation of the Expansion of the Information Technology Agreement.”

[5].         Katherine Tepper, “Trade in ICT—An Important Pillar of Economic Growth and Prosperity” (BDI, 2019), https://english.bdi.eu/article/news/trade-in-ict-an-important-pillar-for-economic-growth-and-prosperity/.

[6].         Mark Knickrehm, Bruno Berthon, and Paul Daugherty, “Digital Disruption: The Growth Multiplier” (Accenture and Oxford Economics, 2016), 2, https://www.anupartha.com/wp-content/uploads/2016/01/Accenture-Strategy-Digital-Disruption-Growth-Multiplier.pdf.

[7].         Frank Gens et al., “IDC FutureScape: Worldwide IT Industry 2019 Predictions” (International Data Corporation, 2018), https://www.idc.com/getdoc.jsp?containerId=US44403818.

[8].         Information Technology Industry Council, “USMCA Brings Businesses into the 21st Century,” TechWonk, December 17, 2019, https://www.itic.org/news-events/techwonk-blog/usmca-brings-businesses-into-the-21st-century.

[9].         James Manyika et al., “Digital Globalization: The New Era of Global Flows” (McKinsey Global Institute, 2016), https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/digital-globalization-the-new-era-of-global-flows.

[10].      U.S. Bureau of Labor Statistics, “Long-term price trends for computers, TVs, and related items,” October 13, 2015, https://www.bls.gov/opub/ted/2015/long-term-price-trends-for-computers-tvs-and-related-items.htm.

[11].      ICT trade was calculated using only “SI3_AGG - MAMTOF - Office and telecom equipment” from the WTO’s “Merchandise Imports by Product Group, Annual” table.

[12].      Semiconductor Industry Association, “Global Semiconductor Sales Increase 29.2% Year-to-Year in June; Q2 Sales Up 8.3% Over Q1,” news release, August 2, 2021, https://www.semiconductors.org/global-semiconductor-sales-increase-29-2-year-to-year-in-june-q2-sales-up-8-3-over-q1/. For example, before the pandemic in Fall 2019, the World Semiconductor Trade Statistics (WSTS) program forecasted 2020 annual semiconductor sales to grow by 5.9 percent and 2021 annual sales to grow by 6.3 percent. Due to added demand from the pandemic, total sales in 2020 grew by 6.8 percent, and 2021 growth is forecast to grow by 19.7 percent. WSTS Fall 2019 and Spring 2021 Forecasts.; Semiconductor Industry Association, “Global Semiconductor Sales, Units Shipped Reach All-Time Highs in 2021 as Industry Ramps Up Production Amid Shortage,” news release, February 14, 2022, https://www.semiconductors.org/global-semiconductor-sales-units-shipped-reach-all-time-highs-in-2021-as-industry-ramps-up-production-amid-shortage/.

[13].      World Trade Organization (WTO), “Merchandise Imports by Product Group, Annual,” accessed August 9, 2021, https://data.wto.org/.

[14].      Stephen Ezell, “Boosting Exports, Jobs, and Economic Growth by Expanding the ITA” (Information Technology and Innovation Foundation, March 2012), https://itif.org/publications/2012/03/15/boosting-exports-jobs-and-economic-growth-expanding-ita.

[15].      Product categories for consideration under an expanded Information Technology Agreement. List created by representatives of global ICT enterprises and industries.

[16].      Robert D. Atkinson, “Competitiveness, Innovation and Productivity: Clearing Up the Confusion” (Information Technology and Innovation Foundation, August 2013), http://www2.itif.org/2013-competitiveness-innovation-productivity-clearing-up-confusion.pdf.

[17].      Robert D. Atkinson and Ben Miller, “A Policymaker’s Guide to Spurring ICT Adoption” (Information Technology and Innovation Foundation, June 2015), http://www2.itif.org/2015-policymaker-ict-adoption.pdf?_ga=1.239879427.1806060799.1471894729.

[18].      James Manyika et al., “How to Compete and Grow: A Sector Guide to Policy” (McKinsey Global Institute, March 2010), http://www.mckinsey.com/industries/public-sector/our-insights/how-to-compete-and-grow.

[19].      Oxford Economics, “Capturing the ICT Dividend: Using Technology to Drive Productivity and Growth in the EU” (Oxford Economics, September 2011), http://danielelepido.blog.ilsole24ore.com/files/oxford-economics.pdf.

[20].      Robert D. Atkinson and Andrew S. McKay, Digital Prosperity: Understanding the Economic Benefits of the Information Technology Revolution (Information Technology and Innovation Foundation, March 2007), 3, http://www.itif.org/files/digital_prosperity.pdf.

[21].      Elsadig Musa Ahmed and Rahim Ridzuan, “The Impact of ICT on East Asian Economic Growth: Panel Estimation Approach,” Journal of the Knowledge Economy, No. 4 (December 2013): 540–55, http://link.springer.com/article/10.1007%2Fs13132-012-0096-5.

[22].      Stephen J. Ezell and Robert D. Atkinson, The Good, the Bad, and the Ugly (and the Self-Destructive) of Innovation Policy: A Policymaker’s Guide to Crafting Effective Innovation Policy (Information Technology and Innovation Foundation, October 2010), https://itif.org/publications/2010/10/07/good-bad-and-ugly-innovation-policy.

[23].      Stephen Ezell, “The Benefits of ITA Expansion for Developing Countries” (Information Technology and Innovation Foundation, December 2012), 5, https://itif.org/publications/2012/12/16/benefits-ita-expansion-developing-countries.

[24].      The World Bank, Poverty Reduction and Economic Management Unit Africa Region, “Kenya Economic Update” (The World Bank, December 2010), http://siteresources.worldbank.org/KENYAEXTN/Resources/KEU-Dec_2010_with_cover_e-version.pdf.

[25].      Ibid.

[26].      Almas Heshmati and Wanshan Yang, “Contribution of ICT to the Chinese Economic Growth” (working paper, RATIO Institute and Techno-Economics and Policy Program, College of Engineering, Seoul National University, February 2006), https://docs.google.com/file/d/1oFItzryXSMXs2UYqYRRRBDONuD4O77q9CyeTB6tYh0T-C93xfDWnHfd1YbZH/edit?hl=en_US.

[27].      Ahmed and Ridzuan, “The Impact of ICT on East Asian Economic Growth.”

[28].      Richard Heeks, “ICT and Economic Growth: Evidence From Kenya,” ICTs for Development, June 26, 2011, http://ict4dblog.wordpress.com/2011/06/26/ict-and-economic-growth-evidence-from-kenya/.

[29].      IBRD and The World Bank, “2009 Information and Communications for Development.”

[30].      Maryam Farhadi, Rahmah Ismail, and Masood Fooladi, “Information and Communication Technology Use and Economic Growth,” PLoS ONE 7, no. 11 (November 2012): 4–5, http://www.plosone.org/article/fetchObject.action?uri=info%3Adoi%2F10.1371%2Fjournal.pone.0048903&representation=PDF.

[31].      Ibid.

[32].      The International Bank for Reconstruction and Development (IBRD) and The World Bank, “2009 Information and Communications for Development: Extending Reach and Increasing Impact” (IBRD and the World Bank, July 21, 2009), https://openknowledge.worldbank.org/handle/10986/2636.

[33].      Nina Czernich et al., “Broadband Infrastructure and Economic Growth,” In CESifo Working Paper Series, Vol. 2861 (2009), https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1516232.

[34].      Deloitte, GSMA, and Cisco, “What Is the Impact of Mobile Telephony on Economic Growth?” (GSM Association, November 2012), http://www.gsma.com/publicpolicy/wp-content/uploads/2012/11/gsma-deloitte-impact-mobile-telephony-economic-growth.pdf.

[35].      Elena Toader et al., “Impact of Information and Communication Technology Infrastructure on Economic Growth: An Empirical Assessment for the EU Countries,” Sustainability, Vol. 10, 3750 (2018), https://www.mdpi.com/2071-1050/10/10/3750/pdf.

[36].      Ebrahim Hosseini Nasab and Majid Aghaei, “The effect of ICT on economic growth: Further evidence,” International Bulletin of Business Administration, Vol. 5 (2009): 46–56, https://www.researchgate.net/publication/237227348_The_Effect_of_ICT_on_Economic_Growth_Further_Evidence.

[37].      Bala Veeramacheneni, E.M. Ekanayake, and Richard Vogel, “Information Technology and Economic Growth: A Causal Analysis,” Southwestern Economic Review, Vol. 34 (2011): 75–88, http://swer.wtamu.edu/sites/default/files/Data/75-88-55-202-1-PB.pdf.

[38].      Andrey Zagorchev, Geraldo Vasconcellos, and Youngsoo Bae, “Financial development, technology, growth and performance: Evidence from the accession to the EU,” Journal of International Financial Markets, Institutions and Money, Vol. 21 (2011): 743–759, https://www.researchgate.net/publication/251636823_Financial_development_technology_growth_and_performance_Evidence_from_the_accession_to_the_EU.

[39].      Toader et al., “Impact of Information and Communication Technology Infrastructure on Economic Growth,” 16.

[40].      Thomas Niebel, “ICT and Economic Growth—Comparing Developing, Emerging and Developed Countries” (discussion paper no. 14-117, Centre for European Economic Research (ZEW), December 15, 2014), http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2560771.

[41].      Khuong Vu, “Measuring the Impact of ICT Investments on Economic Growth,” Journal of Economic Growth (2005), https://www.hks.harvard.edu/m-rcbg/ptep/khuongvu/Key%20paper.pdf.

[42].      Ayoub Yousefi, “The Impact of Information and Communication Technology on Economic Growth: Evidence from Developed and Developing Countries,” Economics of Innovation and New Technology, Vol. 20 (2011): 581–596, https://www.tandfonline.com/doi/abs/10.1080/10438599.2010.544470.

[43].      Niebel, “ICT and Economic Growth.”

[44].      Ibid.

[45].      Muhammad Tariq Majeed and Tayba Ayub, “Information and communication technology (ICT) and economic growth nexus: A comparative global analysis,” Pakistan Journal of Commerce and Social Sciences, Vol. 12, Issue 2 (2018): 443–476.

[46].      M. Cardona, T. Kretschmer, and T. Strobel, “ICT and Productivity: Conclusions From the Empirical Literature,” Information Economics and Policy 25 (2013): 109–125.

[47].      European Parliamentary Research Service, ICT in the Developing World (Brussels, Belgium: European Commission, December 2015), http://www.europarl.europa.eu/RegData/etudes/STUD/2015/563482/EPRS_STU(2015)563482_EN.pdf; The World Bank, Information and Communications for Development 2009: Extending Reach and Increasing Impact (The World Bank, May 2009), http://elibrary.worldbank.org/doi/abs/10.1596/978-0-8213-7605-8.

[48].      T.D. Stanley, Chris Doucouliagos, and Piers Steel, “Does ICT Generate Economic Growth? A Meta-Regression Analysis” (working paper, Deakin University, Australia, 2015), https://ideas.repec.org/p/dkn/econwp/eco_2015_9.html.

[49].      Cardona, Kretschmer, and Strobel, “ICT and Productivity.”

[50].      Michael Anderson, “The Information Technology Agreement: An Assessment of World Trade in Information Technology Products” (presentation, Joint Symposium of U.S.-China Advanced Technology Trade, Beijing, China, October 23–24, 2009), 7.

[51].      Xiaobing Tang and Roy Santana, “15 Years of the Information Technology Agreement: Trade, Innovation and Global Production Networks” (World Trade Organization, 2012), 3, https://www.wto.org/english/res_e/publications_e/ita15years_2012_e.htm.

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[53].      Padmashree Gehl Sampath and Bertha Vallejo, “Trade, Global Value Chains and Upgrading: What, When and How?” The European Journal of Development Research, Vol. 30, Issue 3 (2018): 481–504, https://link.springer.com/article/10.1057/s41287-018-0148-1.

[54].      Stephen Ezell, “Boosting Exports, Jobs, and Economic Growth Through the ITA,” The Innovation Files, March 22, 2012, https://itif.org/publications/2012/03/14/boosting-exports-jobs-and-economic-growth-through-ita.

[55].      Antonio Varas et al., “Strengthening the Global Semiconductor Supply Chain in an Uncertain Era” (Boston Consulting Group and Semiconductor Industry Association, April 2021), 4, https://www.semiconductors.org/wp-content/uploads/2021/05/BCG-x-SIA-Strengthening-the-Global-Semiconductor-Value-Chain-April-2021_1.pdf.

[56].      Patrick Gillespie, “Argentina Tried a Trump-Like Tariff—and It Went Horribly Wrong,” CNN, December 19, 2016, http://money.cnn.com/2016/12/19/news/economy/tariffs-trump-argentina/.

[57].      Rosanna Pittiglio, “An Essay on Intra-Industry Trade in Intermediate Goods,” Modern Economy 5 (May 2014): 468–488.

[58].      United Nations Conference on Trade and Development, “Key Statistics and Trends in International Trade 2020” (UNCTAD, 2021), 11, https://unctad.org/system/files/official-document/ditctab2020d4_en.pdf.

[59].      Organization for Economic Cooperation and Development (OECD), World Trade Organization (WTO), and United Nations Conference on Trade and Development (UNCTAD), “Implications of Global Value Chains for Trade, Investment, Development, and Jobs” (St. Petersburg: G-20 Leaders Summit, OECD, WTO, and UNCTAD, August 6, 2013), 20, http://www.oecd.org/sti/ind/G20-Global-Value-Chains-2013.pdf.

[60].      Ibid.

[61].      Organization for Economic Cooperation and Development, “Trade in Value Added (TiVA) Indicators: EXGR_FVASH: Foreign value added share of gross exports and EXGR_DVAFXSH: Domestic value added embodied in foreign exports as share of gross exports,” accessed August 9, 2021, https://www.oecd.org/sti/ind/measuring-trade-in-value-added.htm.

[62].      OECD, WTO, and UNCTAD, “Implications of Global Value Chains.”

[63].      Susan Lund et al., “Risk, resilience, and rebalancing global supply chains” (McKinsey Global Institute, August 2020), iv, https://www.mckinsey.com/business-functions/operations/our-insights/risk-resilience-and-rebalancing-in-global-value-chains; Jeff Masters, “Earth’s 40 Billion-Dollar Weather Disasters of 2019: 4th Most Billion-Dollar Events on Record,” Eye of the Storm, Scientific American, January 22, 2020, https://blogs.scientificamerican.com/eye-of-the-storm/earths-40-billion-dollar-weather-disasters-of-2019-4th-most-billion-dollar-events-on-record/; Matteo Coronese et al., “Evidence for sharp increase in the economic damages of extreme natural disasters,” Proceedings of the National Academy of Sciences, Volume 116, Number 43 (October 2019), https://www.pnas.org/content/116/43/21450.

[64].      Gulveen Aulakh, “Government imposes 10% duty on PCBs to boost local handset manufacturing,” The Economic Times, April 3, 2018, https://economictimes.indiatimes.com/tech/hardware/india-imposes-10-percent-tax-on-import-of-key-smartphone-components/articleshow/63581642.cms?from=mdr.

[65].      Third World Network, “TWN Infor Service on WTO and Trade Issues,” April 19, 2023, https://www.twn.my/title2/wto.info/2023/ti230412.htm.

[66].      Hearing on U.S.-India Trade Relations: Opportunities and Challenges, Before the House Committee on Ways and Means Subcommittee on Trade, 113th Cong. (2013) (written statement of Stephen J. Ezell, ITIF), http://www2.itif.org/2013-us-india-trade-relations-opportunities-challenges.pdf.

[67].      Michael Anderson and Jacob Mohs, “The Information Technology Agreement: An Assessment of World Trade in Information Technology Products,” United States International Trade Commission Journal of International Commerce and Economics (International Trade Commission, January 2010), 19, https://www.usitc.gov/publications/332/journals/05_andersonmohs_itagreement.pdf.

[68].      The World Bank (ICT goods exports as a % of goods exports), accessed August 10, 2023, http://data.worldbank.org/indicator/TX.VAL.ICTG.ZS.UN.

[69].      India Brand and Equity Foundation, “IT & BPM Industry in India,” July 28, 2021, https://www.ibef.org/industry/information-technology-india.aspx.

[70].      The World Bank (ICT services exports), accessed August 10, 2023, http://data.worldbank.org/indicator/BX.GSR.CCIS.ZS.

[71].      Semiconductor Industry Association, “The Benefits of Including Multi-Component Semiconductors in an Expanded Information Technology Agreement,” December 8, 2014, https://www.semiconductors.org/the-benefits-of-including-multi-component-semiconductors-in-an-expanded-information-technology-agreement/.

[72].      Stephen Ezell, “An Allied Approach to Semiconductor Leadership” (Information Technology and Innovation Foundation, September 2020), https://itif.org/publications/2020/09/17/allied-approach-semiconductor-leadership.

[73].      Stephen Ezell, “Short-term Chip Shortages Don’t Merit Government Intervention; Long-term Competitiveness in the Semiconductor Industry Does,” Innovation Files, February 18, 2021, https://itif.org/publications/2021/02/18/short-term-chip-shortages-dont-merit-government-intervention-long-term.

[74].      UN Environment Programme, “CO2 emissions from buildings and construction hit new high, leaving sector off track to decarbonize by 2050: UN” press release, November 9, 2022, https://www.unep.org/news-and-stories/press-release/co2-emissions-buildings-and-construction-hit-new-high-leaving-sector

[75].      Jennifer King and Christopher Perry, “Smart Buildings: Using Smart Technology to Save Energy in Existing Buildings” (white paper, American Council for an Energy-Efficient Economy, February 2017) https://www.aceee.org/sites/default/files/publications/researchreports/a1701.pdf.

[76].      Borje Ekholm and Johan Rockstrom, “Digital technology can cut global emissions by 15%. Here’s how,” World Economic Forum, January 15, 2019, https://www.weforum.org/agenda/2019/01/why-digitalization-is-the-key-to-exponential-climate-action/

[77].      SemisMatter, “Powering the Economy,” http://www.semismatter.com/why/; John Pitzer, Managing Director, Credit Suisse (Remarks at SIA Event: “Big Opportunities, Looming Challenges: The State of the U.S. Semiconductor Industry,” July 9, 2020), https://www.semiconductors.org/events/big-opportunities-looming-challenges-the-state-of-the-u-s-semiconductor-industry/.

[78].      Caroline Messecar, “Power electronics driving new demand for metals,” Argus, August 13, 2021, https://www.argusmedia.com/en/news/2246971-power-electronics-driving-new-demand-for-metals.

[79].      Steven R. Nadel et al., “Energy-Efficient Motor Systems: A Handbook on Technology, Program, and Policy Opportunities, Second Edition” (American Council for an Energy-Efficient Economy, 2009), https://www.aceee.org/ebook/energy-efficient-motor-systems.

[80].      Colin Cunliff, “Beyond the Energy Techlash: The Real Impacts of Information Technology” (Information Technology and Innovation Foundation, July 2020), https://itif.org/sites/default/files/2020-energy-techlash.pdf.

[81].      American Council for an Energy Efficient Economy, “Semiconductor Technologies: The Potential to Revolutionize U.S. Energy Productivity” (ACEEE, May 2009), https://www.aceee.org/semiconductor-technology-potential-revolutionize-us-energy-productivity.

[82].      Ibid., 32–36.

[83].      Ibid., 33–34.

[84].      Since the 2000s, the doubling in peak computing efficiency—computing efficiency at peak output—has slowed to every 2.7 years. However, most devices run only a fraction of the time at peak output (1 percent for mobile devices and laptops, 10 percent for enterprise data servers). Typical-use efficiency, a metric that considers average efficiency across a year, has continued to double every 1.5 years. Jonathan G. Koomey et al., “Implications of Historical Trends in the Electrical Efficiency of Computing,” in IEEE Annals of the History of Computing, vol. 33, no. 3, 46–54, March 2011, https://ieeexplore.ieee.org/document/5440129; Sam Naffziger and Jonathan Koomey, “Energy Efficiency of Computing: What’s Next?” (Electronic Design, 2016), https://www.electronicdesign.com/technologies/microprocessors/article/21802037/energy-efficiency-of-computing-whats-next; Jonathan Koomey and Samuel Naffziger, “Moore’s Law Might be Slowing Down, But Not Energy Efficiency” (IEEE Spectrum, 2015), https://spectrum.ieee.org/computing/hardware/moores-law-might-be-slowing-down-but-not-energy-efficiency.

[85].      U.S. Environmental Protection Agency, “Report to Congress on Server and Data Center Energy Efficiency Public Law 109-431” (U.S. EPA, 2008), https://eta.lbl.gov/publications/report-congress-server-data-center.

[86].      Eric Masanet et al., “Recalibrating global data center energy-use estimates,” Science (2020), https://science.sciencemag.org/content/367/6481/984.

[87].      Ibid.

[88].      Ralph J. Muenster, "Shade Happens," Renewable Energy World, February 2, 2009.

[89].      N. Fernandez et al., “Impacts of Commercial Building Controls on Energy Savings and Peak Load Reduction,” Pacific Northwest National Laboratory, Richland, WA, Vol. 25985, 2017, https://buildingretuning.pnnl.gov/publications/PNNL-25985.pdf.

[90].      Sila Kiliccote et al., “Characterization of Demand Response in Commercial, Industrial, and Residential Sectors in the U.S.,” WIREs Energy Environ., Vol. 5, 2016, 288–304, https://onlinelibrary.wiley.com/doi/full/10.1002/wene.176.

[91].      International Energy Agency (IEA), Digitalisation and Energy (IEA, 2017), 45, https://www.iea.org/reports/digitalisation-and-energy.

[92].      “Innovations in Sensors and Controls for Building Energy Management” (DOE Building Technologies Office, 2020), https://www1.eere.energy.gov/buildings/pdfs/75601.pdf.

[93].      ITIF adaptation of IEA, “Cumulative energy savings in buildings from widespread digitalisation in selected countries, 2017–2040” (IEA, 2020), https://www.iea.org/data-and-statistics/charts/cumulative-energy-savings-in-buildings-from-widespread-digitalisation-in-selected-countries-2017-2040.

[94].      Stephen Ezell, “Why Manufacturing Digitalization Matters and How Countries Are Supporting It” (ITIF, May 2018), 1, https://www2.itif.org/2018-manufacturing-digitalization.pdf.

[96].      Peter C. Evans and Marco Annunziata, “Industrial Internet: Pushing the Boundaries of Minds and Machines” (GE, November 26, 2012), 3, www.ge.com/docs/chapters/Industrial_Internet.pdf.

[97].      International Trade Center, “Trade Map: Global Totals of Industrial Robots and 3-D Printers,” https://www.trademap.org/Index.aspx.

[98].      International Federation of Robots, “World Robotics Report: “All-Time High” with Half a Million Robots Installed in one Year,” news release, October 13, 2022, https://ifr.org/ifr-press-releases/news/wr-report-all-time-high-with-half-a-million-robots-installed.

[99].      Ibid.

[100].    “Industrial Robots Market Size,” Fortune Business Insight, accessed August 4, 2021, https://www.fortunebusinessinsights.com/industry-reports/industrial-robots-market-100360.

[101].    International Federation of Robotics, “The Impact of Robots on Productivity, Employment and Jobs” (International Federation of Robotics, April 2017), 3, https://ifr.org/img/office/IFR_The_Impact_of_Robots_on_Employment.pdf.

[102].    Georg Graetz and Guy Michaels, “Robots at Work” (Center for Economic Performance, November 11, 2017), http://personal.lse.ac.uk/michaels/Graetz_Michaels_Robots.pdf.

[103].    Ibid.

[104].    Ibid., 22.

[105].    Ibid., 33.

[106].    Ibid., 5, 30.

[107].    James Manyika et al., “A Future That Works: Automation, Employment and Productivity” (McKinsey Global Institute, 2017), 22, https://www.mckinsey.com/~/media/mckinsey/featured%20insights/Digital%20Disruption/Harnessing%20automation%20for%20a%20future%20that%20works/MGI-A-future-that-works-Executive-summary.ashx.

[108].    Michael Zinser, Justin Rose, and Hal Sirkin, “The Robotics Revolution: The Next Great Leap in Manufacturing” (Boston Consulting Group, September 2015), https://www.bcg.com/publications/2015/lean-manufacturing-innovation-robotics-revolution-next-great-leap-manufacturing.

[109].    “What Is 3D Printing?” 3D Printing.com, accessed October 12, 2016, http://3dprinting.com/what-is-3d-printing/.

[110].    Stephen Ezell, “A Policymaker’s Guide to Smart Manufacturing” (ITIF, November 2016), 11–12, https://itif.org/publications/2016/11/30/policymakers-guide-smart-manufacturing.

[111].    “3D Printing Market Size, Share & Trends Analysis Report By Component, By Printer Type, By Technology, By Software, By Application, By Vertical, By Material, By Region And Segment Forecasts, 2021 – 2028,” Intrado, May 26, 2021, https://www.globenewswire.com/news-release/2021/05/26/2236586/0/en/3D-Printing-Market-Size-Share-Trends-Analysis-Report-By-Component-By-Printer-Type-By-Technology-By-Software-By-Application-By-Vertical-By-Material-By-Region-And-Segment-Forecasts-2.html.

[112].    Raoul Leering, “3D printing is a threat to world trade but its impact is still limited,” ING Bank, August 5, 2021, https://think.ing.com/articles/the-threat-for-world-trade-is-limited-for-now.

[113].    Don Hofstrand, “Can We Meet the World's Growing Demand for Food?” AgMRC Renewable Energy & Climate Change Newsletter, February 2014, https://www.agmrc.org/renewable-energy/renewable-energy-climate-change-report/renewable-energy-climate-change-report/january--february-2014-newsletter/can-we-meet-the-worlds-growing-demand-for-food.

[114].    “Precision Farming Market Size, Share & Trends Analysis Report By Offering, By Application (Yield Monitoring, Weather Tracking, Field Mapping, Crop Scouting), By Region, And Segment Forecasts, 2021 – 2028,” Grand View Research, March 2021, https://www.grandviewresearch.com/industry-analysis/precision-farming-market; Remi Schmaltz, “What is precision agriculture?” AgFunderNews, April 24, 2017, https://agfundernews.com/what-is-precision-agriculture.html.

[115].    Benjamin Pinguet, “The Role of Drone Technology in Sustainable Agriculture,” Precision Ag, May 25, 2021, https://www.precisionag.com/in-field-technologies/drones-uavs/the-role-of-drone-technology-in-sustainable-agriculture/.

[116].    Stephen Ezell, Mark Schultz, and David Lund, “Innovate4Health: How Innovators Are Solving Global Health Challenges” (ITIF and the Center for the Protection of Intellectual Property, April 2018), 53–54, https://www2.itif.org/2018-innovate-4-health-case-studies.pdf.

[117].    Edward Rwema, “Saving Lives in Rwanda, with US-made Drones,” VOA, October 19, 2016, https://www.voanews.com/a/california-startup-drones-life-saving-medicine-rwanda/3558360.html.

[118].    Ibid.

[119].    Jon Porter, “Zipline’s drones are delivering medical supplies and PPE in North Carolina,” The Verge, May 27, 2020, https://www.theverge.com/2020/5/27/21270351/zipline-drones-novant-health-medical-center-hospital-supplies-ppe.

[120].    Andrew J. Hawkins, “UPS and CVS will use drones to deliver prescriptions in Florida,” April 27, 2020, https://www.theverge.com/2020/4/27/21238196/ups-cvs-drone-delivery-medicine-florida-coronavirus.

[121].    Mike Murphy, “This could be a huge moment for delivery drones. Why aren’t they taking off?” Protocol, April 18, 2020, https://www.protocol.com/alphabet-wing-drone-delivery-coronavirus.

[122].    “Global Unmanned Aerial Vehicle (UAV) Market Report 2021-2026 - Rising Demand for Contactless Deliveries of Medical Supplies and Other Essentials Using Drones Owing to COVID-19,” Research and Markets, June 28, 2021, https://www.globenewswire.com/en/news-release/2021/06/28/2253654/28124/en/Global-Unmanned-Aerial-Vehicle-UAV-Market-Report-2021-2026-Rising-Demand-for-Contactless-Deliveries-of-Medical-Supplies-and-Other-Essentials-Using-Drones-Owing-to-COVID-19.html.

[123].    National Research Council and Institute of Medicine, Board on Science, Technology, and Economic Policy, “Medical Innovation in the Changing Healthcare Marketplace: Conference Summary” (National Academies Press, 2002), 3, https://www.ncbi.nlm.nih.gov/books/NBK220598/.

[125].    Congressional Research Service, “Expansion of WTO Information Technology Agreement Targets December Conclusion” (CRS, July 2015), https://sgp.fas.org/crs/misc/IN10331.pdf.

[126].    Gilbert Cette and Jimmy Lopez, “ICT Demand Behavior: An International Comparison,” Economics of Innovation and New Technology 12 (2012): 397–410. Cette and Lopez calculated the elasticity for ICT demand for the United States over a 20-year period, showing that the price demand for ICT changes over time. The trend follows an inverted-U shape, increasing in elasticity for a peak in the 1990s before falling. To simplify our estimates, we chose a static elasticity of 1.3—which is about the middle of the elasticity range shown in the paper. This is to partially account for the difference in technological levels between the United States and developing nations, as well as the difference in technological levels between developing nations.

[127].    Cardona, Kretschmer, and Strobel, “ICT and Productivity.”

[128].    Authors’ analysis from United Nations Comtrade Database, United Nations Main Aggregates Database, World Bank World Integrated Trade Solutions Database, and International Trade Center Trade Map Database.

[129].    Ibid.

[130].    Current ICT capital stocks are developed through a perpetual inventory method using a depreciation rate of 32.4 percent and GDP growth rates for each of the six countries, averaged between 2010 and 2014. First, we assume that annually, all our study countries invest in similar asset mixes of ICT goods (i.e., annually, each of our study countries invest 20 percent of all ICT investment in telecommunications equipment, 20 percent in IT equipment, and 60 percent in software). This asset mix is adapted from OECD’s Science, Technology and Industry Scoreboard 2015 and slightly adjusted to reflect a more likely asset mix for a developing country. Conference Board, Total Economy Database (key findings), accessed October 1, 2016, https://www.conference-board.org/data/economydatabase/.

[131].    Authors’ analysis from UN Comtrade Database, UN Main Aggregates Database, World Bank World Integrated Trade Solutions Database, and International Trade Center Trade Map Database.

[132].    Stephen Ezell and John Wu, “How Joining the Information Technology Agreement Spurs Growth in Developing Nations” (Information Technology and Innovation Foundation, May 2017), https://www2.itif.org/2017-ita-spurs-growth-developing-nations.pdf; Bora and Liu, “Evaluating the Impact of the WTO Information Agreement”; Henn and Gnutzmann-Mkrtchyan, “The Layers of the IT Agreement’s Trade Impact.”

[133].    Niebel, “ICT and Economic Growth.”

[134].    Cardona, Kretschmer, and Strobel, “ICT and Productivity.”

[135].    Authors’ analysis from United Nations Comtrade Database, United Nations Main Aggregates Database, World Bank World Integrated Trade Solutions Database, and International Trade Center Trade Map Database.

[136].    Ibid.

[137].    Ibid.

[138].    Authors’ calculations used OECD Global Revenue Statistics Database on Indicator 5123 (Customs and Import Duties), querying Tax Revenue as percentage of GDP.

[139].    Authors’ analysis. Japan and Kenya use 2020 rates as proxies. Vietnam uses excise tax as a proxy for customs and imports tariffs. India and Taiwan use Asia-Pacific rates as proxies. Nigeria’s rates are calculated from 2020 figures. The European Union uses Germany as a proxy.

[140].    OECD, “Global Revenue Statistics Database,” accessed August 9, 2021, https://www.oecd.org/tax/tax-policy/global-revenue-statistics-database.htm.

[141].    Authors’ calculations on tariff rate and OECD Global Revenue Statistics Database.

[142].    Authors’ analysis from UN Comtrade Database, UN Main Aggregates Database, World Bank World Integrated Trade Solutions Database.

[144].    Authors’ analysis from UN Comtrade Database, UN Main Aggregates Database, World Bank World Integrated Trade Solutions Database, and International Trade Center Trade Map Database.

[145].    Ibid.

[146].    The World Bank, “World Development Indicators (ICT service exports (BoP, current US$) - Costa Rica,” accessed August 18, 2023, https://data.worldbank.org/indicator/BX.GSR.CCIS.CD?locations=CR.

[147].    Ibid.

[148].    International Labor Organization, ILOSTAT, “Employment by sex and economic activity (thousands) – Annual,” accessed August 18, 2023, https://www.ilo.org/shinyapps/bulkexplorer37/?lang=en&segment=indicator&id=EMP_TEMP_SEX_ECO_NB_A&ref_area=CRI.

[149].    CEIC Data, “Dominican Republic Exports: ICT Goods,” accessed September 5, 2023, https://www.ceicdata.com/en/indicator/dominican-republic/exports-ict-goods.

[150].    The World Bank, “ICT goods exports (% of total goods exports) - Dominican Republic,” accessed September 5, 2023, https://data.worldbank.org/indicator/TX.VAL.ICTG.ZS.UN?end=2021&locations=DO&start=2001.

[151].    CEIC Data, “Dominican Republic DO: ICT: Service Exports: BOP,” accessed September 5, 2023, https://www.ceicdata.com/en/dominican-republic/telecommunication/do-ict-service-exports-bop.

[152].    International Labor Organization, “Employment by sex and economic activity (thousands) – Annual,” accessed August 18, 2023, https://www.ilo.org/shinyapps/bulkexplorer39/?lang=en&segment=indicator&id=EMP_TEMP_SEX_ECO_NB_A&ref_area=DOM.

[153].    The World Bank, “ICT goods imports (% total goods imports) - Dominican Republic,” accessed September 5, 2023, https://data.worldbank.org/indicator/TM.VAL.ICTG.ZS.UN?locations=DO.

[154].    General Directorate of Customs, Dominican Republic, “Overview of the Dominican Republic’s free zone sector,” WCO News, February 22, 2019, https://mag.wcoomd.org/magazine/wco-news-88/overview-of-the-dominican-republics-free-zone-sector/.

[155].    Klaus Schwab, “The Global Competitiveness Report 2019,” (World Economic Forum, October 2019), https://www3.weforum.org/docs/WEF_TheGlobalCompetitivenessReport2019.pdf.

[156].    The World Bank, “World Development Indicators (ICT goods exports (% of total goods exports) – Vietnam,” accessed August 18, 2023, https://data.worldbank.org/indicator/TX.VAL.ICTG.ZS.UN?locations=VN.

[157].    International Labor Organization, ILOSTAT, “Employment by sex and economic activity (thousands) – Annual,” accessed August 18, 2023, https://www.ilo.org/shinyapps/bulkexplorer52/?lang=en&segment=indicator&id=EMP_TEMP_SEX_ECO_NB_A&ref_area=VNM.

[158].    Recreating the model’s methodology for full ITA benefits requires tracking import and tariff data for all six-digit HS codes in the original ITA, ITA-2, and the proposed ITA-3 for the group of four countries not in the ITA whatsoever. For the two countries having joined only the original ITA, ITIF tracked import and tariff data for all six-digit HS codes in the 2015 expansion and the proposed ITA-3.

[159].    Authors’ analysis from UN Comtrade Database, UN Main Aggregates Database, World Bank World Integrated Trade Solutions Database, and International Trade Center Trade Map Database.

[160].    United States International Trade Commission (ITC), “Economic Impact of Trade Agreements Implemented Under Trade Authorities Procedures, 2016 Report” (ITC, June 2016), 147–148, https://www.usitc.gov/publications/332/pub4614.pdf.

[161].    Authors’ analysis of UN Comtrade data.

[162].    U.S. International Trade Administration, “Commerce Department Celebrates World Trade Week,” press release, May 17, 2010, http://trade.gov/press/press-releases/2010/commerce-department-celebrates-world-trade-week-051710.asp.

[163].    Josh Bivens, “Updated employment multipliers for the U.S. economy” (Economic Policy Institute, January 2019), 5, https://files.epi.org/pdf/160282.pdf.

[164].    Statista, “Global market share of the information and communication technology (ICT) market from 2013 to 2021, by selected country,” https://www.statista.com/statistics/263801/global-market-share-held-by-selected-countries-in-the-ict-market/.

[165].    Ezell, “Boosting Exports, Jobs, and Economic Growth by Expanding the ITA,” 7.

[166].    Mihir Desai, C. Fritz Foley, and James R. Hines, Jr., “Foreign Direct Investment and Domestic Economic Activity,” NBER Working Paper No. W11717 (2005) table 2, equation 4, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=837160.

[167].    Katherine Linton, Alexander Hammer, and Jeremy Wise, China: Effects of Intellectual Property Infringement and Indigenous Innovation Policies on the U.S. Economy (Washington, D.C.: U.S. International Trade Commission, May 2011), 4–17, http://www.usitc.gov/publications/332/pub4226.pdf.

[168].    Bivens, “Updated employment multipliers for the U.S. economy,” 5.

[169].    Antonio Varas et al., “Strengthening the Global Semiconductor Supply Chain in an Uncertain Era” (Boston Consulting Group, April 2021), https://www.bcg.com/en-us/publications/2021/strengthening-the-global-semiconductor-supply-chain.

[170].    World Trade Organization, “Information Technology Agreement – Schedules of Concessions,” https://www.wto.org/english/tratop_e/inftec_e/itscheds_e.htm.

[171].    Ibid.

[173].    HS2017 six-digit codes from United Nations Comtrade Database. ITA-1 codes are converted to HS2017 codes from previous HS versions. Note, this means some HS codes may appear in more than one list, given that product code classifications change substantially between years. As a result, ITA-1 has a count of 223 product codes, whereas the original count from the HS version in the year the trade agreement was formed count 144.

[174].    HS2017 six-digit codes from United Nations Comtrade Database. ITA-2 codes are converted to HS2017 codes from previous HS versions. Note, this means some HS codes may appear in more than one list, given that product code classifications change substantially between years. As a result, ITA-2 has a count of 266 product codes, whereas the original count from the HS version in the year the trade agreement was formed count 201.

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