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The design, implementation, and interpretation of cross- country investigations should be improved. This review of conceptual, methodological, and statistical weaknesses in cross- country studies suggests that existing findings warrant only limited confidence.
CD-ROM contains: World Bank data.
"... Papers presented at a conference held at the Stouffer Wailea Hotel, Maui, Hawaii, January 6-7, 1989. ... part of the Research on Taxation program of the National Bureau of Economic Research." -- p. ix.
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
Growth is pro-poor if the poverty measure of interest falls. This implies three potential sources of pro-poor growth: (a) a high rate of growth of average incomes; (b) a high sensitivity of poverty to growth in average incomes; and (c) a poverty-reducing pattern of growth in relative incomes. I empirically decompose changes in poverty in a large sample of developing countries into these components. In the medium run, most of the variation in changes in poverty is due to growth, suggesting that policies and institutions that promote broad-based growth should be central to pro-poor growth. Most of the remainder is due to poverty-reducing patterns of growth in relative incomes, rather than differences in the sensitivity of poverty to growth in average incomes. Cross-country evidence provides little guidance on policies and institutions that promote these other sources of pro-poor growth.
The aim of this article is to point out the importance of education on a sustained economic development strategy, having into account inter-sector relations and the influence of education in the growth of production per head. Three cross-country models are presented to analyze the evolution of the period 1995-2000. The first model relates the diminution of excessively high fertility rates with increases in the educative level of population. The second model relates value-added in the services sector with the internal production of industry and agriculture, as well as with foreign trade and changes in population. The third model relates the industrial development with the educative level of population and foreign trade. We analyze, from a worldwide view, the evolution of real Gross Domestic Product (GDP), Population and GDP per inhabitant (GDPH). USA, Japan, the European Union, Latin America, Africa, China, India, and other areas of Europe and Asia-Pacific are considered, and the main differences in the levels of GDPH are explained, having into account the results of the cross-country models. The main conclusions highlight the necessity of new international policies for improving the educative level of population in less developed countries.
The 32nd issue of the International Productivity Monitor is a special issue produced in collaboration with the OECD. All articles published in this issue were selected from papers presented at the First Annual Conference of the OECD Global Forum on Productivity held in Lisbon, Portugal, July ...
We investigate the relation between changes in tax composition and long-run economic growth using a new dataset covering a broad cross-section of countries with different income levels. We specifically consider 69 countries with at least 20 years of observations on total tax revenue during the period 1970-2009—21 high-income, 23 middle-income and 25 low-income countries. To our knowledge this is the most comprehensive and up-to-date dataset on tax composition and growth. We find that increasing income taxes while reducing consumption and property taxes is associated with slower growth over the long run. We also find that: (1) among income taxes, social security contributions and personal income taxes have a stronger negative association with growth than corporate income taxes; (2) a shift from income taxes to property taxes has a strong positive association with growth; and (3) a reduction in income taxes while increasing value added and sales taxes is also associated with faster growth.
Why are some countries so much richer than others? Development Accounting is a first-pass attempt at organizing the answer around two proximate determinants: factors of production and efficiency. It answers the question "how much of the cross-country income variance can be attributed to differences in (physical and human) capital, and how much to differences in the efficiency with which capital is used?" Hence, it does for the cross-section what growth accounting does in the time series. The current consensus is that efficiency is at least as important as capital in explaining income differences. I survey the data and the basic methods that lead to this consensus, and explore several extensions. I argue that some of these extensions may lead to a reconsideration of the evidence.