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Accenture Report Outlines How 5G Technology Accelerates Economic Growth

The following post comes from Wade Cribbs, a 2L at Scalia Law and a Research Assistant at CPIP.

closeup of a circuit boardBy Wade Cribbs

Everyone in the technology industry knows that 5G is posed to revolutionize the world, but the finer points of 5G’s impact on the U.S. economy are detailed in a new report by Accenture entitled The Impact of 5G on the United States Economy. In the report, Accenture explains how 5G stands to add up to $1.5 trillion to the U.S. GDP and create or transform up to 16 million jobs from 2021 to 2025.

5G’s benefits include enabling the development of new industries, improving current industries, and accommodating the current, rapid growth of interconnected technologies. Autonomous vehicles are only achievable through 5G’s increased broadband, which can handle the large amount of data transferred to and from the sensors on vehicles on the road as they are operating. Furthermore, 5G is necessary to support the expected growth to 29.3 billion devices and 14.7 billion machine-to-machine connections by 2023. To get a better look at the specific impact 5G will have on the coming business and consumer landscape, Accenture focuses on five key business sectors: manufacturing, retail, healthcare, automotive and transportation, and utilities.

As 10,000 baby boomers retire a day, the manufacturing industry is in dire need of some way to meet its labor shortage. Due in part to a lack of interest from the younger generations, manufacturers are increasingly looking to automation. 5G will allow for an unprecedented level of control and synchronization across the warehouse floor. Examples of manufacturing improvements implementable with 5G include: AI assisted asset management utilizing video analytics and attached sensors; connected worker experiences implementing augmented reality to provide workers with a safer work experience and reduced training times; and enhanced quality monitoring through a combination of AI inspection and UHD video streaming monitoring. Accenture estimates that 5G will provide a $349.9 billion increase in sales for manufacturing of the equipment and products necessary to implement 5G in other business sectors.

In the retail sector, 5G can provide the data needed to support frictionless checkout experiences. AI used in combination with UHD video monitoring will allow for customers to be charged when putting items in their basket, eliminating the long lines that 86% of customers say have caused them to leave a store, which in turns leads to $37.7 billion in missed sales annually. Furthermore, this same AI monitoring system can be used to personalize a shopping experience through monitoring customers and alerting sales associates to a customer with a problem without the customer having to find and flag down an associate; the system can also monitor for theft, which costs the retail industry $25 million daily. Overall, Accenture estimates that the retail industry stands to see a $269.5 billion increase in sales due to 5G sales and cost savings.

Healthcare costs are expected to rise from $3.4 trillion to $6 trillion by 2027. As the need for healthcare professionals is expected to outstrip the labor supply, increases to technology and treatment efficiency are essential to address the problems presented by an aging population. The good news is that 5G is suited to address just these issues by eliminating waste, which is estimated to make up as much as 30% of spending. 5G will expand medical professionals’ ability to monitor patients, giving the option for at-home care to a wider range of patients as well as lowering the number of doctors required to monitor intensive care patients. Doctors will also be able to access previously unreachable patients for virtual consultations. No longer will rural Americans have to travel long distances to visit their doctor in the city. 5G will allow online consultants rapid access to vast amounts of data, such as MRI images, CAT scans, ultrasounds, ECGs, and stethoscope data. Accenture estimates that the healthcare industry stands to gain $192.3 billion in economic output and up to 1.7 million jobs.

As vehicles become smarter, safer, and more connected, 5G will enable automobiles to exchange data with other vehicles, the automotive infrastructure, and pedestrians. This will enhance vehicle safety, fleet management, and smart traffic management. The U.S. National Highway Traffic Safety Administration (NHTSA) estimates that the combined impact of vehicle-to-everything communication technology could reduce the severity of 80% of sober multi-vehicle crashes and 70% of crashes involving trucks. 5G video-based telematics will allow for automated vehicle fleets and fleet management capability, such as improved logistics security and goods-condition diagnostics to eliminate the up to 20% of empty cargo space in U.S. trucks. Through smart traffic managing by vehicle-to-vehicle communication and vehicle-to-infrastructure communication, traffic congestion, traffic accidents, and smog due to idling can all be reduced by an expected 15 to 30%. On the whole, Accenture estimates that $217.1 billion in revenue will be generated in the automotive and transportation industry by 5G.

5G will address multiple problems facing the utility industry, including vegetation and asset management, energy supply and resiliency, and next-generation workforces. 5G will allow smart grid technology to be implemented that can track and adapt to real-time disruptions to the power grid. In combination with smart grid technology, smart power plant technology will be able to map out peak power use and wear on equipment to determine optimal times for taking a machine offline for maintenance. Safer work environments can be created for the next generation workforce using augmented and virtual reality to train and eliminate manual methods with digital tools. Accenture estimates that the utility industry stands to grow by $36.9 billion in total sales from the implementation of 5G.

Accenture concludes that 5G is the necessary step towards achieving a new normal through AI, mass machine communications, and digital cloud technology. Every aspect of American life will be affected, and an unprecedented boost will be given to the economy.

To read the report, please click here.

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Economic Study Innovation Inventors Patent Law Patent Licensing Uncategorized

How Strong Patents Make Wealthy Nations

By Devlin Hartline & Kevin Madigan

dictionary entry for the word "innovate"How did the world’s wealthiest nations grow rich? The answer, according to Professor Stephen Haber of Stanford University, is that “they had well-developed systems of private property.” In Patents and the Wealth of Nations, recently published in the CPIP Conference issue of the George Mason Law Review, Haber explains the connection: Property rights beget trade, trade begets specialization, specialization begets productivity, and productivity begets wealth. Without a foundation of strong property rights, economic development suffers. But does the same hold true for intellectual property, particularly patents? Referencing economic history and econometric analysis, Haber shows that strong patents do indeed make wealthy nations.

Before diving into the history and analysis, Haber tackles the common misconception that patents are different than other types of property because they are monopolies: “It is not, as some IP critics maintain, a grant of monopoly. Rather, it is a temporary property right to something that did not exist before that can be sold, licensed, or traded.” The simple reason for this, Haber notes, is that a patent grants a monopoly only if there are truly no substitutes, but this is almost never the case. Usually, there are many substitutes and the patent owner has no market power. And the “fact that patents are property rights means that they can serve as the basis for the web of contracts that permits individuals and firms to specialize in what they do best.”

Turning back to his claim that strong patents make wealthy nations, Haber presents data showing the relationship between the strength of enforceable patent rights and the level of economic development across several different countries. The results are remarkably clear: “there are no wealthy countries with weak patent rights, and there are no poor countries with strong patent rights.” The following figure shows how GDP per capita increases as patent rights get stronger:

Haber - Figure 1: The Relationship Between Enforcable Patent Rights and GDP/c in 2010 (Excludes Oil-Based Economies, 2005 PPP$). X-axis: Strength of Enforceable Patent Rights in 2010 (from 0 to 45). Y-axis: GDP Per Capita in 2010, PPP$ from PWT 8.1 (from $0 to $60,000).

Of course, while it’s clear that patent strength and GDP per capita are related, it’s possible that the causality runs the other way. That is, how do we know that an increase in GDP per capita doesn’t foster an environment where patents tend to be stronger? This is where the evidence from economic historians and econometric analysts comes into play. Exploring what economic history has to tell us about the impact of patent laws on innovation, Haber asks whether the Industrial Revolution was bolstered by the British patent system and whether the United States emerged as a high-income industrial economy because of the U.S. patent system.

To the first question, Haber notes that the consensus among historians is that “from at least the latter half of the eighteenth century, the patent system promoted the inventive activity associated with the Industrial Revolution.” He then cites the recent book by Sean Bottomley that carefully shows how “many of the changes to Britain’s patent laws and their enforcement—the requirement for detailed specifications, patents conceived as property rights, the emergence of patent agents—all preceded, rather than followed, the onset of industrialization.” Haber also cites a research paper by Petra Moser, which finds that countries in the nineteenth century with weak patent systems trailed both Britain and the United States in technological development.

Moving to the United States, Haber notes that three generations of economic historians have agreed that just after it gained independence, the country’s strong patent system played a pivotal role in fomenting the remarkable industrial developments that soon followed. After pointing out that the United States was the first country to call for a patent system in its Constitution, Haber compares the GDP per capita for the United States, Britain, and Brazil from 1700 to 1913. The following figure shows just how quickly the agrarian American colonies caught up with, and ultimately surpassed, Britain in GDP per capita, while the GDP per capita of Brazil, a country that became independent at about the same time but had no patent system, stagnated:

Haber - Figure 2: GDP per capita, 1700-1913 (in Real 1990 Dollars). UK, USA, and Brazil. X-axis: 1700, 1820, 1930, 1840, 1850, 1860, 1870, 1880, 1890,1900, 1913. Y-axis: $0 to $5,500 by $500 increments.

As the figure shows, the GDP per capita in the United States and Brazil were less than half that of Britain in 1700, and by 1913, the United States had overtaken Britain as both countries left Brazil far behind. Noting that “there is uniformity of views among economic historians that the U.S. patent system played a large role” in this success, Haber provides specifics examples of improvements upon the British patent system that contributed to it, including broad access to property rights in technology through low fees and a routine and impersonal application process under the Patent Act of 1790. He goes on to highlight the importance of major reforms to the U.S. patent system introduced in the Patent Act of 1836, including the examination process that “reduced concerns third parties might have had about a patent’s novelty, thereby facilitating the evolution of a market for patented technologies.”

The second half of the nineteenth century saw the development of an active market for inventions in the United States, leading to the emergence of a class of specialized and independent inventors as well as patent brokers, patent agents, and patent attorneys, who would connect the inventors with manufacturers looking to buy or license new technologies. While some of these intermediaries were derided, much like the “patent trolls” of the twenty-first century, as “patent sharks,” Haber contends that this market for inventions played a critical role in the emergence of new industrial technologies and centers: “[O]ne would be hard pressed to make the case that patents in the nineteenth century, or the intermediaries who represented their inventors, did anything but facilitate the rapid development of American manufacturing.”

Haber then shifts his focus to econometric analysis, examining the different ways that economic scholars research the relationship between patent rights and economic progress in different countries over a period of time. He stresses that accurate econometric estimation of causal relationships is a relatively young area of inquiry requiring considerable care. He uses the example of a widely-cited study by Josh Lerner, which looks at “whether the strengthening of patents affects the rate of change of innovation in an economy within a two-year window after a patent reform.” Haber points out that many changes neither begin nor end so quickly. With laser technology, for example, “follow-on innovations” have developed “over decades, not two-year windows,” and Lerner’s study thus discounts much innovation.

Looking at studies that utilize a “very long time dimension,” Haber cites one finding that “there is a significant positive effect of patent laws on innovation rates” and another finding that “patent intensive industries in countries that improve the strength of patents experience faster growth in value added than less patent-intensive industries in those same countries.” Haber praises a recent study by Jihong Zhang, Ding Du, and Walter G. Park, who “not only find that there is a positive relationship between the strength of enforceable patent rights and innovation in developed economies, but that that relationship holds for underdeveloped economies as well.”

In sum, Haber states that “there is a critical mass of multi-country studies” that leads to two conclusions:

First, there is a causal relationship between the strength of patent rights and innovation. Second, this relationship is non-linear: there are threshold effects such that stronger patent rights positively impact innovation once a society has already reached some critical level of economic development. The reason for the non-linearity probably resides in the fact that innovation is not just a product of the strength of patent rights, but of other features of societies, which are necessary complements, that tend to be absent at low levels of economic development.

Finally, Haber looks at whether the innovation landscape of the twenty-first century is somehow so different that the lessons from economic history and econometric analysis no longer apply. In particular, he questions whether the emergence of patent licensing firms, sometimes called “patent assertion entities” or “PAEs,” and the alleged strategic behavior of “patent holdup” with standard-essential patents (SEPs) are really new features of the U.S. patent system that might hinder innovation. Haber concludes that the evidence shows that neither PAEs nor patent holdup is hindering innovation. In fact, there’s little reason to think that patent holdup even exists.

Haber takes on the recent study by James Bessen and Michael Meurer, which claims that PAEs are a new phenomenon that “constitute a direct tax on innovation” to the tune of “$29 billion per year.” This claim has been rebutted, Haber notes, by scholars such as B. Zorina Khan, whose recent study shows that many great inventors of the nineteenth century were themselves PAEs. Haber further cites the recent paper by David L. Schwartz and Jay P. Kesan that carefully demonstrates fundamental problems with Bessen and Meurer’s methodology, including selection bias, the conflation of “costs” with “transfers,” the lack of a benchmark for comparison, and the failure to even consider the benefits of PAE activity.

Turning to patent holdup, Haber points out that products have long been comprised of numerous patented innovations, and he cites a recent paper by Adam Mossoff showing that there’s nothing “new about firms whose sole source of revenue comes from the licensing of essential patents.” As to evidence that innovation is hindered by patent holdup, Haber notes that the “theoretical literature” says it’s possible, but the “evidence in support of this theory, however, is largely anecdotal.” Haber then cites his recent study with Alexander Galetovic and Ross Levine, which looks at the “extensive economics literature on the measurement of productivity growth” and shows that “SEP holders” are not able “to negotiate excessive royalty payments” as predicted by the patent holdup theory.

In conclusion, Haber acknowledges that while “no single piece of evidence” should “be viewed as dispositive,” it’s certainly quite “telling that the weight of evidence from two very different bodies of scholarship, employing very different approaches to evidence—one based on mastering the facts of history, the other based on statistical modeling—yield the same answer: there is a causal relationship between strong patents and innovation.” Haber then challenges the naysayers to make their case: “Evidence and reason therefore suggest that the burden of proof falls on those who claim that patents frustrate innovation.” Given the copious evidence showing that strong patents make wealthy nations, the IP critics have their work cut out for them.

For a PDF version of this post, please click here.