Productivity varies widely between industries and countries, but even more so across individual firms within the same sectors. The challenge for governments is to strike the right balance between policies designed to increase overall productivity and policies designed to promote the reallocation of resources towards firms that could use them more effectively. The aim of this book is to provide the empirical evidence necessary in order to strike this policy balance. The authors do so by using a micro-aggregated dataset for 20 EU economies produced by CompNet, the Competitiveness Research Network, established some 10 years ago among major European institutions and a number of EU productivity boards, National Central Banks, National Statistical institutes, as well as academic Institutions. They call for pan-EU initiatives involving statistical offices and scholars to achieve a truly complete EU market for firm-level information on which to build solidly founded economic policies.

Measuring Economic Growth and Productivity: Foundations, KLEMS Production Models, and Extensions presents new insights into the causes, mechanisms and results of growth in national and regional accounts. It demonstrates the versatility and usefulness of the KLEMS databases, which generate internationally comparable industry-level data on outputs, inputs and productivity. By rethinking economic development beyond existing measurements, the book's contributors align the measurement of growth and productivity to contemporary global challenges, addressing the need for measurements as well as the Gross Domestic Product. All contributors in this foundational volume are recognized experts in their fields, all inspired by the path-breaking research of Dale W. Jorgenson. - Demonstrates how an approach based on sources of economic growth (KLEMS – capital, labor, energy, materials and services) can be used to analyze economic growth and productivity - Includes examples covering the G7, E7, EU, Latin America, Norway, China, Taiwan, Japan, Korea, India and other South Asian countries - Examines the effects of digital, information, communication and integrated technologies on national and regional economies

This book addresses the rising productivity gap between the global frontier and other firms, and identifies a number of structural impediments constraining business start-ups, knowledge diffusion and resource allocation (such as barriers to up-scaling and relatively high rates of skill mismatch).

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

Labor productivity growth in the United States and other advanced countries has slowed dramatically since the mid-2000s, a major factor in their economic stagnation and political turmoil. Economists have been debating the causes of the slowdown and possible remedies for some years. Unaddressed in this discussion is what happens if the slowdown is not reversed. In this volume, a dozen renowned scholars analyze the impact of sustained lower productivity growth on public finances, social protection, trade, capital flows, wages, inequality, and, ultimately, politics in the advanced industrial world. They conclude that slow productivity growth could lead to unpredictable and possibly dangerous new problems, aggravating inequality and increasing concentration of market power. Facing Up to Low Productivity Growth also proposes ways that countries can cope with these consequences.

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.

Productivity looms large in public policy discussions yet many find themselves hard-pressed to explain exactly what the term means. Even within economics, its nature and significance is contested and the focus of complex debate. Michael Haynes cuts through the jargon and political sloganeering to provide a detailed examination of the concept, how it is used and why it is held by economists to be so important in evaluating the health of economies. The book explores why productivity grows or fails to grow in certain contexts, in particular how real world variables can interact with measurements of efficiency and output. The difficulties of measuring its scope are examined alongside the larger question of whether growth in productivity is sustainable, both at the level of national economies and globally. Whether productivity remains the motor of economic growth that it once was and continues to be the most appropriate economic indicator for modern economies is shown to be a key consideration. For anyone searching for a clear, engaging and level-headed guide to one of the most important metrics for understanding economic growth, this book will be warmly welcomed.

The remarkable behavior of information technology prices provides the key to the resurgence of productivity growth in the USA and the world economy. This title presents the contemporary framework for productivity measurement that focuses on the impact of information technology on economic growth.

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.

Age of Productivity offers a look at how the low productivity in Latin America and the Caribbean is preventing the region from catching up with the developed world. The authors look beyond the traditional macro explanations and dig all the way down to the industry and firm level to uncover the causes.