Global Productivity Slowdown And The Role Of Technology Adoption In Emerging Markets

The global productivity slowdown is affecting mature as well as emerging economies and this pattern has been particularly prominent over the past five years. Productivity levels in mature economies are almost five times higher than those of emerging countries, providing ample catch-up opportunities for emerging markets in their efforts to generate growth and eradicate poverty. This article highlights the forces of new technologies and business models as key drivers for emerging and mature economies' productivity and hence future growth patterns. However, emerging markets have to find a way to make good use of available productivity-enhancing technologies and business models that meet their economies' needs and capabilities.

The COVID-19 pandemic struck the global economy after a decade that featured a broad-based slowdown in productivity growth. Global Productivity: Trends, Drivers, and Policies presents the first comprehensive analysis of the evolution and drivers of productivity growth, examines the effects of COVID-19 on productivity, and discusses a wide range of policies needed to rekindle productivity growth. The book also provides a far-reaching data set of multiple measures of productivity for up to 164 advanced economies and emerging market and developing economies, and it introduces a new sectoral database of productivity. The World Bank has created an extraordinary book on productivity, covering a large group of countries and using a wide variety of data sources. There is an emphasis on emerging and developing economies, whereas the prior literature has concentrated on developed economies. The book seeks to understand growth patterns and quantify the role of (among other things) the reallocation of factors, technological change, and the impact of natural disasters, including the COVID-19 pandemic. This book is must-reading for specialists in emerging economies but also provides deep insights for anyone interested in economic growth and productivity. Martin Neil Baily Senior Fellow, The Brookings Institution Former Chair, U.S. President’s Council of Economic Advisers This is an important book at a critical time. As the book notes, global productivity growth had already been slowing prior to the COVID-19 pandemic and collapses with the pandemic. If we want an effective recovery, we have to understand what was driving these long-run trends. The book presents a novel global approach to examining the levels, growth rates, and drivers of productivity growth. For anyone wanting to understand or influence productivity growth, this is an essential read. Nicholas Bloom William D. Eberle Professor of Economics, Stanford University The COVID-19 pandemic hit a global economy that was already struggling with an adverse pre-existing condition—slow productivity growth. This extraordinarily valuable and timely book brings considerable new evidence that shows the broad-based, long-standing nature of the slowdown. It is comprehensive, with an exceptional focus on emerging market and developing economies. Importantly, it shows how severe disasters (of which COVID-19 is just the latest) typically harm productivity. There are no silver bullets, but the book suggests sensible strategies to improve growth prospects. John Fernald Schroders Chaired Professor of European Competitiveness and Reform and Professor of Economics, INSEAD

Productivity, Technology and Economic Growth presents a selection of recent research advances on long term economic growth. While the contributions stem from both economic history, macro- and microeconomics and the economics of innovation, all papers depart from a common viewpoint: the key factor behind long term growth is productivity, and the latter is primarily driven by technological change. Most contributions show implicitly or explicitly that technological change is at least partly dependent on growth itself. Furthermore, technology appears to interact strongly with investment in physical and human capital as well as with changes in historical, political and institutional settings. Together these papers are an up-to-date account of the remarkable convergence in theoretical and empirical work on productivity and growth over the past decades. The first part deals with the characteristics of growth regimes over longer periods, ranging from 20 years to two centuries. The next four chapters study the determinants of productivity growth and, in some cases, productivity slowdown during the last quarter of the twentieth century. The final five chapters focus on the role of technology and innovation as the key determinants of growth. Productivity, Technology and Economic Growth is, therefore, a welcome collection for academic scholars and graduate students in economics, history and related social sciences as well as for policy makers.

Examines how information technologies are affecting jobs, skills, wages, and the economy.

Addressing the big questions about how technological change is transforming economies and societies Rapid technological change—likely to accelerate as a consequence of the COVID-19 pandemic—is reshaping economies and how they grow. But change also causes disruption, creates winners and losers, and produces social stress. This book examines the challenges of digital transformation and suggests how creative policies can make it more productive and inclusive. Shifting Paradigms is the second book on technological change produced by a joint research project of the Brookings Institution and the Korea Development Institute. Contributors are experts from the United States, Europe, and Korea. The first volume, Growth in a Time of Change, was published by Brookings in February 2020. The book's underlying thesis is that the future is arriving faster than expected. Long-accepted paradigms about economic growth are changing as digital technologies transform markets and nearly every aspect of business and work. Change will only intensify with advances in artificial intelligence and other innovations. Investors, business leaders, workers, and public officials face many questions. Is rising market concentration inevitable with the new technologies or can their benefits be more widely shared? How can the promise of FinTech be captured while managing risks? Should workers fear the new automation? Are technology-driven shifts in business and work causing income inequality to rise? How should public policy respond? Shifting Paradigms addresses these questions in an engaging manner for anyone interested in understanding how the economic and social agenda is being transformed by today's winds of change.

This paper analyzes productivity growth trends in emerging-market economies vis-à-vis advanced economies, both in the recent global productivity slowdown and from a long-term perspective. While income has converged in most countries in the last three decades, total factor productivity has diverged. Periods of high productivity growth coincide with episodes of output accelerations, while during normal times productivity growth is modest. Most recently, the correlation between productivity growth in emerging markets and advanced economies has increased. This paper analyzes potential factors explaining this increase, which presumably is due to the slowdown in trade and microeconomic factors that underlie technology diffusion. It concludes with a discussion of long-term challenges and opportunities facing emerging-market economies in a low productivity environment.

Growth in a Time of Change: Global and Country Perspectives on a New Agenda is the first of a two-book research project that addresses new issues and challenges for economic growth arising from ongoing significant change in the world economy, focusing especially on technological transformation. The project is a collaboration between the Brookings Institution and the Korea Development Institute. Part I of the book looks at key elements of change from a global perspective. It analyzes how technological change, shifts in investment, and demographic transition are affecting potential economic growth globally and across major groups of economies. The contributors explore possible scenarios for the global economy as the digital revolution drives rapid technological change, including impacts on growth, jobs, income distribution, trade balances, and capital flows. Technology is changing the global configuration of comparative advantage and globalization increasingly has a digital dimension. The implications of these developments for the future of sectors such as manufacturing and for international trade are assessed. Part II of the book addresses new issues in the growth agenda from the perspective of an individual major economy: South Korea. The chapters in this section analyze how macroeconomic developments and technological change are influencing the behavior of households and firms in terms of their decisions to consume, save, and invest. Rising income and wealth inequalities are a major concern globally. Against this backdrop, trends in the labor income share and wage inequalities in South Korea are analyzed in terms of the role played by technology, industrial concentration, shifts in labor demand and supply, and other factors. Throughout the book, the contributors, in their analysis of both global and Korea-specific trends and prospects, place emphasis on drawing implications for policy.

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Technological progress is often associated with the creation of novel and useful products through innovation and ingenuity. Yet in several emerging markets, including low-income economies, it is often more common to adopt, adapt, and scale technologies created elsewhere. By doing so, private enterprises in these countries could use technology to create markets and expand their product and service offerings to unserved and underserved residents, a process that produces new customers, buyers, sellers, and employees. This transforms the pursuit of profits into a driver of economic growth, as well as higher productivity and living standards, and gives technology a central role in emerging market development.

This work shows that business investment in knowledge-based capital is a key to future productivity growth and living standards and sets out recommendations in the fields of: innovation; taxation; entrepreneurship and business development; corporate reporting; big data; competition and measurement.