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 improvement is the biggest issue facing any manager at any level in any organisation in any sector - and the biggest peacetime issue facing any government minister too. Dick Smythe was educated at Bolton School, graduated in pure mathematics and statistics at St Andrews University and then took a masters in Operations Research at Birmingham University. He was then recruited by Europe's leading consultancy of the day, PA Consulting Group, and went on to set up and grow their Productivity Services Division into a significant part of the business, becoming a PA director and sitting on their UK management consultancy board - whilst there, he led a joint study with the CBI into UK productivity, and presented the results on TV, radio and to the national press with Director General Sir John Banham - The Times leader commented: "It is refreshing to come across something that has its feet firmly planted on the ground" Since then, he has mixed productivity consultancy work with playing the property and stock markets, skippering his own boat in the Fastnet and many other ocean yacht races and keeping his golf handicap down to single figures As the late Peter Drucker once said, managers have always sought something which lets them 'do their job with less effort, in less time, yet with greater impact'.

The productivity slowdown of the 1970s and 1980s and the resumption of productivity growth in the 1990s have provoked controversy among policymakers and researchers. Economists have been forced to reexamine fundamental questions of measurement technique. Some researchers argue that econometric approaches to productivity measurement usefully address shortcomings of the dominant index number techniques while others maintain that current productivity statistics underreport damage to the environment. In this book, the contributors propose innovative approaches to these issues. The result is a state-of-the-art exposition of contemporary productivity analysis. Charles R. Hulten is professor of economics at the University of Maryland. He has been a senior research associate at the Urban Institute and is chair of the Conference on Research in Income and Wealth of the National Bureau of Economic Research. Michael Harper is chief of the Division of Productivity Research at the Bureau of Labor Statistics. Edwin R. Dean, formerly associate commissioner for Productivity and Technology at the Bureau of Labor Statistics, is adjunct professor of economics at The George Washington University.

Higher education is a linchpin of the American economy and society: teaching and research at colleges and universities contribute significantly to the nation's economic activity, both directly and through their impact on future growth; federal and state governments support teaching and research with billions of taxpayers' dollars; and individuals, communities, and the nation gain from the learning and innovation that occur in higher education. In the current environment of increasing tuition and shrinking public funds, a sense of urgency has emerged to better track the performance of colleges and universities in the hope that their costs can be contained without compromising quality or accessibility. Improving Measurement of Productivity in Higher Education presents an analytically well-defined concept of productivity in higher education and recommends empirically valid and operationally practical guidelines for measuring it. In addition to its obvious policy and research value, improved measures of productivity may generate insights that potentially lead to enhanced departmental, institutional, or system educational processes. Improving Measurement of Productivity in Higher Education constructs valid productivity measures to supplement the body of information used to guide resource allocation decisions at the system, state, and national levels and to assist policymakers who must assess investments in higher education against other compelling demands on scarce resources. By portraying the productive process in detail, this report will allow stakeholders to better understand the complexities of-and potential approaches to-measuring institution, system and national-level performance in higher education.

How do the benefits of higher education compare with its costs, and how does this comparison vary across individuals and institutions? These questions are fundamental to quantifying the productivity of the education sector. The studies in Productivity in Higher Education use rich and novel administrative data, modern econometric methods, and careful institutional analysis to explore productivity issues. The authors examine the returns to undergraduate education, differences in costs by major, the productivity of for-profit schools, the productivity of various types of faculty and of outcomes, the effects of online education on the higher education market, and the ways in which the productivity of different institutions responds to market forces. The analyses recognize five key challenges to assessing productivity in higher education: the potential for multiple student outcomes in terms of skills, earnings, invention, and employment; the fact that colleges and universities are “multiproduct” firms that conduct varied activities across many domains; the fact that students select which school to attend based in part on their aptitude; the difficulty of attributing outcomes to individual institutions when students attend more than one; and the possibility that some of the benefits of higher education may arise from the system as a whole rather than from a single institution. The findings and the approaches illustrated can facilitate decision-making processes in higher education.

While adoption of new technologies is understood to enhance long-term growth and average per-capita incomes, its impact on lower-skilled workers is more complex and merits clarification. Concerns abound that advanced technologies developed in high-income countries would inexorably lead to job losses of lower-skilled, less well-off workers and exacerbate inequality. Conversely, there are countervailing concerns that policies intended to protect jobs from technology advancement would themselves stultify progress and depress productivity. This book squarely addresses both sets of concerns with new research showing that adoption of digital technologies offers a pathway to more inclusive growth by increasing adopting firms’ outputs, with the jobs-enhancing impact of technology adoption assisted by growth-enhancing policies that foster sizable output expansion. The research reported here demonstrates with economic theory and data from Argentina, Brazil, Chile, Colombia and Mexico that lower-skilled workers can benefit from adoption of productivity-enhancing technologies biased towards skilled workers, and often do. The inclusive jobs outcomes arise when the effects of increased productivity and expanding output overcome the substitution of workers for technology. While the substitution effect replaces some lower-skilled workers with new technology and more highly-skilled labor, the output effect can lead to an increase in the total number of jobs for less-skilled workers. Critically, output can increase sufficiently to increase jobs across all tasks and skill types within adopting firms, including jobs for lower-skilled workers, as long as lower-skilled task content remains complementary to new technologies and related occupations are not completely automated and replaced by machines. It is this channel for inclusive growth that underlies the power of pro-competitive enabling policies and institutions—such as regulations encouraging firms to compete and policies supporting the development of skills that technology augments rather than replaces—to ensure that the positive impact of technology adoption on productivity and lower-skilled workers is realized.