Measuring Economic Growth And Productivity

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

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

Agricultural Productivity: Measurement and Sources of Growth addresses measurement issues and techniques in agricultural productivity analysis, applying those techniques to recently published data sets for American agriculture. The data sets are used to estimate and explain state level productivity and efficiency differences, and to test different approaches to productivity measurement. The rise in agricultural productivity is the single most important source of economic growth in the U.S. farm sector, and the rate of productivity growth is estimated to be higher in agriculture than in the non-farm sector. It is important to understand productivity sources and to measure its growth properly, including the effects of environmental externalities. Both the methods and the data can be accessed by economists at the state level to conduct analyses for their own states. In a sense, although not explicitly, the book provides a guide to using the productivity data available on the website of the U.S. Department of Agriculture/Economic Research Service. It should be of interest to a broad spectrum of professionals in academia, the government, and the private sector.

By 'economic growth' economists mean, in the first place, annual increases in the nation's total output of goods and services -- its national product. Maintaining rapid economic growth depends increasingly on productivity gains, particularly in the service sector. Economic growth and the productivity are impacted by individual enterprises, industrial sectors and the wider economy. The standard of living of a country is profoundly effected by economic growth and productivity. One of the key questions within the debate on economic growth and productivity is the effect of information technology on the system. This new book presents leading edge research on this exciting topic.

This text is designed to provide a comprehensive guide to students, researchers, or consultants who wish to carry out and to interpret analyses of economic performance, with an emphasis on productivity growth. The text includes an overview of standard productivity growth measurement techniques and adaptations, and data construc tion procedures. It goes further, however, by expanding the tradition al growth accounting (index number) framework to allow consider ation of how different aspects of firm behavior underlying productivity growth are interrelated, how they can be measured con sistently in a parametric model, and how they permit a well-defined decomposition of standard productivity growth measures. These ideas are developed by considering in detail a number of underlying theoretical results and econometric issues. The impacts of various production characteristics on productivity growth trends are also evaluated by overviewing selected methodological extensions and em pirical evidence. More specifically, in the methodological extensions, emphasis is placed on incorporation of cost and demand characteristics, such as fixity and adjustment costs, returns to scale, and the existence of market power, into analyses of productivity growth. These character istics, generally disregarded in such analyses, can have very important impacts on production structure and firm behavior, and thus on economic performance. They also provide the conceptual basis for vii viii PREFACE measures that are often used independently as indicators of economic performance, such as investment, capacity utilization, and profit measures.

GDP growth is often measured poorly for countries and rarely measured at all for cities. We propose a readily available proxy: satellite data on lights at night. Our statistical framework uses light growth to supplement existing income growth measures. The framework is applied to countries with the lowest quality income data, resulting in estimates of growth that differ substantially from established estimates. We then consider a longstanding debate: do increases in local agricultural productivity increase city incomes? For African cities, we find that exogenous gricultural productivity shocks (high rainfall years) have substantial effects on local urban economic activity.

This manual presents the theoretical foundations to productivity measurement, and discusses implementation and measurement issues.

Starting in the mid 1990s, the United States economy experienced an unprecedented upsurge in economic productivity. Rapid technological change in communications, computing, and information management continue to promise further gains in productivity, a phenomenon often referred to as the New Economy. To better understand this phenomenon, the National Academies Board on Science, Technology, and Economic Policy (STEP) initiated a project to better measure the contributions of different elements of the “new economy†(semiconductors, computers, software, and telecommunications) and to develop policies to meet the needs of these growth-enhancing industries. Accompanied by four workshop reports, this summary volume describes the steps required to better measure and sustain the benefits of this “new economy†in the sectors examined.

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.

Sustaining the New Economy will require public policies that remain relevant to the rapid technological changes that characterize it. While data and its timely analysis are key to effective policy-making, we do not yet have adequate statistical images capturing changes in productivity and growth brought about by the information technology revolution. This report on a STEP workshop highlights the need for more information and the challenges faced in measuring the New Economy and sustaining its growth.

The OECD Measuring Productivity Manual is the first comprehensive guide to the various productivity measures aimed at statisticians, researchers and analysts involved in constructing industry-level productivity indicators. This Manual presents the ...

The services industries—which include jobs ranging from flipping hamburgers to providing investment advice—can no longer be characterized, as they have in the past, as a stagnant sector marked by low productivity growth. They have emerged as one of the most dynamic and innovative segments of the U.S. economy, now accounting for more than three-quarters of gross domestic product. During the 1990s, 19 million additional jobs were created in this sector, while growth was stagnant in the goods-producing sector. Here, Jack Triplett and Barry Bosworth analyze services sector productivity, demonstrating that fundamental changes have taken place in this sector of the U.S. economy. They show that growth in the services industries fueled the post-1995 expansion in the U.S. productivity and assess the role of information technology in transforming and accelerating services productivity. In addition to their findings for the services sector as a whole, they include separate chapters for a diverse range of industries within the sector, including transportation and communications, wholesale and retail trade, and finance and insurance. The authors also examine productivity measurement issues, chiefly statistical methods for measuring services industry output. They highlight the importance of making improvements within the U.S. statistical system to provide the more accurate and relevant measures essential for analyzing productivity and economic growth.

Cost Structure and the Measurement of Economic Performance is designed to provide a comprehensive guide for students, researchers or consultants who wish to model, construct, interpret, and use economic performance measures. The topical emphasis is on productivity growth and its dependence on the cost structure. The methodological focus is on application of the tools of economic analysis - the `thinking structure' provided by microeconomic theory - to measure technological or cost structure, and link it with market and regulatory structure. This provides a rich basis for evaluation of economic performance and its determinants. The format of the book stresses topics or questions of interest rather than the theoretical tools for analysis. Traditional productivity growth modeling and measurement practices that result in a productivity residual often called the `measure of our ignorance' are initially overviewed, and then the different aspects of technological, market and regulatory structure that might underlie this residual are explored. The ultimate goal is to decompose or explain the residual, by modeling and measuring a multitude of impacts that determine the economic performance of firms, sectors, and economies. The chapters are organized with three broad goals in mind. The first is to introduce the overall ideas involved in economic performance measurement and traditional productivity growth analysis. Issues associated with different types of (short and long run, internal and external) cost economies, market and regulatory impacts, and other general cost efficiencies that might impact these measures are then explored. Finally, some of the theoretical, data construction and econometric tools necessary to justify and implement these models are emphasized.

'. . .a collection of classics and a great reference for anyone dealing with the theory and practice of measuring economic activity, prices, productivity and welfare. Carefully selected papers represent highlights of over 80 years of research in economic

Between 1948 and 1979, economic activity in the United States increased almost twice as much as over the entire preceding course of American history. The traditional explanation of this remarkable development emphasizes productivity growth. In the most sophisticated study to date of the factors currently affecting economic growth, the authors of this book show that capital formation is far more important, with the growth of labor resources and productivity a distant second. Their conclusions rest on a far more detailed empirical base than any ever assembled in studies of economic growth. For example, the authors distinguish among 81,600 types of labor input – broken down by age, sex, education, occupation, and industry of employment. Similarly, they disaggregate capital by industry, class of asset, and tax treatment. Their analysis of economic growth is from the ``bottom up'' rather than the ``top down'' approach used in earlier work. The new findings imply that efforts to revive U.S. economic growth must focus on increased supplies of capital and labor inputs. This is the key to more rapid growth and international competition. One of the most important features of the book is the way in which it successfully integrates the theory of producer behavior with the indexing and measurement of production growth. The authors present startling new findings showing that less than one-fourth of overall growth is attributable to advances in productivity.