​Analyzing the relation between population factors and technological progress is the main purpose of this book. With its declining population, Japan faces the simple but difficult problem of whether sustained economic growth can be maintained. Although there are many studies to investigate future economic growth from the point of view of labor force transition and the decreasing saving rate, technological progress is the most important factor to be considered in the future path of the Japanese economy. Technological progress is the result of innovations or improvements in the quality of human and physical capital. The increase in technological progress, which is measured as total factor productivity (TFP), is realized both by improvements in productivity in the short term and by economic developments in the long term. The author investigates the relationship of population factors and productivity, focusing on productivity improvement in the short term. Many discussions have long been held about the relation between population and technological progress. From the old Malthusian model to the modern endogenous economic growth models, various theories are developed in the context of growth theory. In this book, these discussions are summarized briefly, with an analysis of the quantitative relation between population and technological progress using country-based panel data in recent periods.

There is long-standing debate on how population growth affects national economies. A new report from Population Matters examines the history of this debate and synthesizes current research on the topic. The authors, led by Harvard economist David Bloom, conclude that population age structure, more than size or growth per se, affects economic development, and that reducing high fertility can create opportunities for economic growth if the right kinds of educational, health, and labor-market policies are in place. The report also examines specific regions of the world and how their differing policy environments have affected the relationship between population change and economic development.

For most of the vast span of human history, economic growth was all but nonexistent. Then, about two centuries ago, some nations began to emerge from this epoch of economic stagnation, experiencing sustained economic growth that led to significant increases in standards of living and profoundly altered the level and distribution of wealth, population, education, and health across the globe. The question ever since has been--why? This is the first book to put forward a unified theory of economic growth that accounts for the entire growth process, from the dawn of civilization to today. Oded Galor, who founded the field of unified growth theory, identifies the historical and prehistorical forces behind the differential transition timing from stagnation to growth and the emergence of income disparity around the world. Galor shows how the interaction between technological progress and population ultimately raised the importance of education in coping with the rapidly changing technological environment, brought about significant reduction in fertility rates, and enabled some economies to devote greater resources toward a steady increase in per capita income, paving the way for sustained economic growth. Presents a unified theory of economic growth from the dawn of civilization to today Explains the worldwide disparities in living standards and population we see today Provides a comprehensive overview of the three phases of the development process Analyzes the Malthusian theory and its empirical support Examines theories of demographic transition and their empirical significance Explores the interaction between economic development and human evolution

We take for granted today that the assessments, measurements, and forecasts of economists are crucial to the decision-making of governments and businesses alike. But less than a century ago that wasn’t the case—economists simply didn’t have the necessary information or statistical tools to understand the ever more complicated modern economy. With Political Arithmetic, Nobel Prize–winning economist Robert Fogel and his collaborators tell the story of economist Simon Kuznets, the founding of the National Bureau of Economic Research, and the creation of the concept of GNP, which for the first time enabled us to measure the performance of entire economies. The book weaves together the many strands of political and economic thought and historical pressures that together created the demand for more detailed economic thinking—Progressive-era hopes for activist government, the production demands of World War I, Herbert Hoover’s interest in business cycles as President Harding’s commerce secretary, and the catastrophic economic failures of the Great Depression—and shows how, through trial and error, measurement and analysis, economists such as Kuznets rose to the occasion and in the process built a discipline whose knowledge could be put to practical use in everyday decision-making. The product of a lifetime of studying the workings of economies and skillfully employing the tools of economics, Political Arithmetic is simultaneously a history of a key period of economic thought and a testament to the power of applied ideas.

This paper investigates the main postulations of the R&D based growth models that innovation is created in the R&D sectors and it enables sustainable economic growth, provided that there are constant returns to innovation in terms of R&D. The analysis employs various panel data techniques and uses patent and R&D data for 20 OECD and 10 Non-OECD countries for the period 1981-97. The results suggest a positive relationship between per capita GDP and innovation in both OECD and non-OECD countries, while the effect of R&D stock on innovation is significant only in the OECD countries with large markets. Although these results provide support for endogenous growth models, there is no evidence for constant returns to innovation in terms of R&D, implying that innovation does not lead to permanent increases in economic growth. However, these results do not necessarily suggest a rejection of R&D based growth models, given that neither patent nor R&D data capture the full range of innovation and R&D activities.

Much is written in the popular literature about the current pace of technological change. But do we have enough scientific knowledge about the sources and management of innovation to properly inform policymaking in technology dependent domains such as energy and the environment? While it is agreed that technological change does not 'fall from heaven like autumn leaves,' the theory, data, and models are deficient. The specific mechanisms that govern the rate and direction of inventive activity, the drivers and scope for incremental improvements that occur during technology diffusion, and the spillover effects that cross-fertilize technological innovations remain poorly understood. In a work that will interest serious readers of history, policy, and economics, the editors and their distinguished contributors offer a unique, single volume overview of the theoretical and empirical work on technological change. Beginning with a survey of existing research, they provide analysis and case studies in contexts such as medicine, agriculture, and power generation, paying particular attention to what technological change means for efficiency, productivity, and reduced environmental impacts. The book includes a historical analysis of technological change, an examination of the overall direction of technological change, and general theories about the sources of change. The contributors empirically test hypotheses of induced innovation and theories of institutional innovation. They propose ways to model induced technological change and evaluate its impact, and they consider issues such as uncertainty in technology returns, technology crossover effects, and clustering. A copublication o Resources for the Future (RFF) and the International Institute for Applied Systems Analysis (IIASA).

'Techno-Economic Paradigms' presents a series of essays discussing one of the most interesting and talked-about socio-economic theories of our times: techno-economic paradigm shifts.

The authors conducted a systematic empirical study of cross-sectional inequality in the U.S., integrating data from various surveys. The authors follow the mapping suggested by the household budget constraint from individual wages to individual earnings, to household earnings, to disposable income, and, ultimately, to consumption and wealth. They document a continuous and sizable increase in wage inequality over the sample period. Changes in the distribution of hours worked sharpen the rise in earnings inequality before 1982, but mitigate its increase thereafter. Taxes and transfers compress the level of income inequality, especially at the bottom of the distribution, but have little effect on the overall trend. Charts and tables. This is a print-on-demand publication; it is not an original.

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 book presents empirical analyses of manufacturing firm performance in Africa based on the World Bank Enterprise Survey and on a one-time quantitative survey conducted for the World Bank by the Center for the Study of African Economies of Oxford University.