China’s growth potential has become a hotly debated topic as the economy has reached an income level susceptible to the “middle-income trap” and financial vulnerabilities are mounting after years of rapid credit expansion. However, the existing literature has largely focused on macro level aggregates, which are ill suited to understanding China’s significant structural transformation and its impact on economic growth. To fill the gap, this paper takes a deep dive into China’s convergence progress in 38 industrial sectors and 11 services sectors, examines past sectoral transitions, and predicts future shifts. We find that China’s productivity convergence remains at an early stage, with the industrial sector more advanced than services. Large variations exist among subsectors, with high-tech industrial sectors, in particular the ICT sector, lagging low-tech sectors. Going forward, ample room remains for further convergence, but the shrinking distance to the frontier, the structural shift from industry to services, and demographic changes will put sustained downward pressure on growth, which could slow to 5 percent by 2025 and 4 percent by 2030. Digitalization, SOE reform, and services sector opening up could be three major forces boosting future growth, while the risks of a financial crisis and a reversal in global integration in trade and technology could slow the pace of convergence.

The growth of agricultural productivity is widely believed to be low. But this study finds the productivity rate in agriculture to be higher than that in manufacturing, both on average and for groups of countries at different stages of development. This suggests that a large agricultural sector need not be a disadvantage for growth performance, and may be an advantage.

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

This volume is written primarily for agricultural economists doing research on productivity. It includes discussions of the theoretical underpinnings of productivity measurement as well as the many practical considerations that go into translating this theory into actual measures of aggregated outputs and inputs. The unifying concept of agricultural productivity used across the chapters of this volume is aggregate total factor productivity (TFP) of the sector. The volume also contains detailed analysis of the underlying causes of agricultural productivity growth. Part I (chapters 2-6) examines agricultural productivity in high-income and transition countries. Part II (chapters 7-11) examines agricultural productivity growth and its driving forces in five important agricultural producers in Asia and Latin America. Part III (chapters 12-14) focuses on measuring and identifying constraints to agricultural productivity growth in sub-Saharan Africa. Part IV (chapters 15-16) gives a global perspective on agricultural productivity.

The growth of agricultural productivity is widely believed to be low. But this study finds the productivity growth rate in agriculture to be higher than that in manufacturing, both on average and for groups of countries at different stages of development. This suggests that a large agricultural sector need not be a disadvantage for growth performance - and may be an advantage.Martin and Mitra examine the growth and convergence of total factor productivity in agriculture and manufacturing in a large sample of countries spanning many levels of development over the period 1967-92. There is a widely held but rarely tested view that the rate of growth in agricultural productivity is invariably low. But Martin and Mitra find that the rate of productivity growth in agriculture has been higher than in manufacturing both on average and for groups of countries at different stages of development.Martin and Mitra find evidence of high rates of technical progress in both agriculture and manufacturing. At all levels of development, however, technical progress appears to have been faster in agriculture than in manufacturing.Moreover, there appears to be a stronger tendency for levels and growth rates of total factor productivity to converge in agriculture than in manufacturing - suggesting that international dissemination of innovations has been relatively rapid in agriculture.These results may well reflect the important investments in agricultural research and development in recent decades. They also highlight the need to continue developing and disseminating innovations if countries are to maintain high rates of productivity growth.This paper - a product of Trade, Development Research Group - is part of a larger effort in the group to understand the links between trade and growth.

This book documents frontier knowledge on the drivers of agriculture productivity to derive pragmatic policy advice for governments and development partners on reducing poverty and boosting shared prosperity. The analysis describes global trends and long-term sources of total factor productivity growth, along with broad trends in partial factor productivity for land and labor, revisiting the question of scale economies in farming. Technology is central to growth in agricultural productivity, yet across many parts of the developing world, readily available technology is never taken up. We investigate demand-side constraints of the technology equation to analyze factors that might influence producers, particularly poor producers, to adopt modern technology. Agriculture and food systems are rapidly transforming, characterized by shifting food preferences, the rise and growing sophistication of value chains, the increasing globalization of agriculture, and the expanding role of the public and private sectors in bringing about efficient and more rapid productivity growth. In light of this transformation, the analysis focuses on the supply side of the technology equation, exploring how the enabling environment and regulations related to trade and intellectual property rights stimulate Research and Development to raise productivity. The book also discusses emerging developments in modern value chains that contribute to rising productivity. This book is the fourth volume of the World Bank Productivity Project, which seeks to bring frontier thinking on the measurement and determinants of productivity to global policy makers.

The process of economic development is characterized by substantial reallocations of resources across sectors. In this paper, we construct a multi-sector model in which there are barriers to the movement of labor from low-productivity traditional agriculture to modern sectors. With the barrier in place, we show that improvements in productivity in modern sectors (including agriculture) or reductions in transportation costs may lead to a rise in agricultural employment and through terms-oftrade effects may harm subsistence farmers if the traditional subsistence sector is larger than a critical level. This suggests that policy advice based on the earlier literature needs to be revised. Reducing barriers to mobility (through reductions in the cost of skill acquisition and institutional changes) and improving the productivity of subsistence farmers needs to precede policies designed to increase the productivity of modern sectors or decrease transportation costs.