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Author: Anne O. Krueger
Publisher:
ISBN:
Category :
Languages : en
Pages : 64
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Book Description
Author: Anne O. Krueger
Publisher:
ISBN:
Category :
Languages : en
Pages : 64
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Book Description
Author: Anne O. Krueger
Publisher:
ISBN:
Category : Foreign exchange
Languages : en
Pages : 76
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Author: Alistair Dieppe
Publisher: World Bank Publications
ISBN: 1464816093
Category : Business & Economics
Languages : en
Pages : 552
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Book Description
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
Author: Kirk Hamiltion
Publisher:
ISBN:
Category :
Languages : es
Pages : 35
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Book Description
Estimates of total factor productivity growth, a measure of increases in the efficiency of production, have traditionally been based on a two-factor model of labor and fixed capital. Because profits are measured residually in the System of National Accounts, they implicitly include rents on natural resource exploitation, with the result that the contribution of fixed capital to growth in the inputs to gross domestic product is misstated, particularly in resource dependent developing countries. This leads to incorrect measures of total factor productivity growth. Using data on natural resources from the World Bank's Wealth of Nations database and methods combining the Solow growth accounting model with recent work at the Organisation for Economic Co-operation and Development, this paper makes new estimates of total factor productivity growth for 74 developing countries over 1996-2014. In the aggregate, including natural resources as a factor of production increases estimated total factor productivity growth across all country income classes and regions of the world when compared with the traditional two-factor approach. In addition, the estimated total factor productivity growth including natural resources is less volatile over time in the great majority of countries compared with the traditional approach. The availability of World Bank data on natural resource quantities and rents for a wide range of countries suggests that natural resources should be included in total factor productivity growth estimation going forward. Further research could focus on the distinctive roles played by different natural resource endowments.
Author: Veerabhadrappa Bellundagi
Publisher: Amazon Publishers, USA
ISBN:
Category : Reference
Languages : en
Pages :
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Book Description
Total-factor productivity (TFP) is a variable which accounts for effects in total output not caused by traditionally measured inputs of labour and capital. If all inputs are accounted for, then total factor productivity can be taken as a measure of an economy’s long-term technological change or technological dynamism, scale of economies and efficiency.TFP is regarded as the more accurate productivity measure than the partial productivity measure. The broader the coverage of resources, the better is the productivity measure. The best measure is one that compares output with the combined use of all resources” (Chandel, 2007). TFP is the change in output relative to a weighted combination of all inputs, where the weights are factor shares. Some authors also define TFP as contribution of non-traditional inputs to output. For example non inputs were technology, irrigation, infrastructure, managerial skills and so on.The calculated TFP is decomposed in to a) Scale of economies b) Technical change and c) Residual or Efficiency or Management to know the contribution of non-conventional inputs to the output growth.There are different approaches for estimation of TFP, such as Production function approach, Growth accounting approach and Non-Parametric approach.World ScenarioCoelli, et al., 2003, conducted a study on Total Factor Productivity growth in Agriculture: A Malmquist index analysis of 93 Countries. The results shown that, Asia as a region posted the highest TFP growth of 2.9 percent followed by North America (consisting of USA and Canada), Australasia, Europe, Africa and South America. South America has posted the lowest growth rate of 0.6 per cent followed by Africa with 1.3 per cent growth in TFP. A surprising result is that over the period 1980-2000. The results on continent-level information for six regions revealed that, the largest difference occurs for South and Central America, where the average TFP growth measure increases from 0.6 percent to 1.5 per cent per annum.Country ScenarioChand et al., 2011, estimated average annual TFP growth for the major crops cultivated in India. Among cereals, wheat experienced the highest growth in TFP index during the three decades from 1975 to 2005. Among pulses, the TFP growth was estimated to be 0.5 per cent for moong, followed by gram (0.2 per cent). TFP for Arhar and Urad crops displayed a decline over the past three decades. The TFP is a useful indicator of changes in long-term productivity. The TFP growth (TFPG) in the oilseed sector varied in the range 0.7-0.8 per cent per annum.An attempt was made to analyze the TFP of ragi in Karnataka. The results shown that, TFP for ragi increased from 1.17 during 1999 to 1.81 in 2013. The TFP fell to 0.61 in 2011 and 0.67 in 2008 due to drought during that period. The highest TFP index was observed in 2007-08 (2.18). The average TFP index for 15 years was 1.12.The output index of ragi increased from 1.40 in 1999 to 1.79 in 2013. The average input index of ragi was 1.14 for fifteen years.Suresh, K. 2013, conducted a study on Economic impact of public sector agricultural research in ragi and redgram in Karnataka. The results revealed that, the Total Factor Productivity index of redgram grew at the rate of 3.31 per cent per annum and that of ragi grew at 4.75 per cent per annum. Thus, Public research significantly contributed to TFP growth in ragi.ConclusionTotal factor productivity can be estimated by different approaches. In growth accounting approach the tornqvist-thiel index is commonly used which is based on translog production function. The TFP decomposition analysis helps to identify factors which influence the total factor productivity growth. The results of the decomposition analysis indicate which variable contribute to growth in productivity. This will enable policy makers to suggest plan and programmes to achieve total factor productivity growth.
Author: Vikram Nehru
Publisher:
ISBN:
Category : Human capital
Languages : en
Pages : 48
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Book Description
An error correction model using new data on human and physical capital stock, is used to estimate the growth of total factor productivity for 83 countries for 1960-87. The results show that human capital accumulation explains more cross- country variations in growth than previously thought. And cross- country differences in total factor productivity growth can be attributed mostly to differences in initial conditions and political stability.
Author: Will Martin
Publisher: World Bank Publications
ISBN: 9090805303
Category : Agricultural procductivity
Languages : en
Pages : 36
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Book Description
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.
Author: Glenn-Marie Lange
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Charles R. Hulten
Publisher: University of Chicago Press
ISBN: 0226360644
Category : Medical
Languages : en
Pages : 648
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Book Description
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.
Author: Andrew Warner
Publisher: International Monetary Fund
ISBN:
Category : Business & Economics
Languages : en
Pages : 39
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Book Description
The assumption behind popular data on national capital stocks, and therefore total factor productivity, is that countries were in a steady state in the first year that investment data became available. This paper argues that this assumption is highly implausible and is necessarily responsible for implausible data on the ratio of capital to output and productivity growth. It is not credible that countries with similar incomes had huge differences in their capital stocks. This paper claims, with evidence, that implausible features of the data can be greatly reduced by using data on electricity usage or national stocks of road vehicles.
