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Traditionally, economists have considered the accumulation of conventional inputs such as labour and capital to be the primary force behind economic growth. In the late-1990s however, many economists place technological progress at the centre of the growth process. This shift is due to theoretical developments that allow researchers to link microeconomic outcomes.
This book examines the long term economic growth that has raised the West's material living standards to levels undreamed of by counterparts in any previous time or place. The authors argue that this growth has been driven by technological revolutions that have periodically transformed the West's economic, social and political landscape over the last 10,000 years and allowed the West to become, until recently, the world's only dominant technological force. Unique in the diversity of the analytical techniques used, the book begins with a discussion of the causes and consequences of economic growth and technological change. The authors argue that long term economic growth is largely driven by pervasive technologies now known as General Purpose (GPTs). They establish an alternative to the standard growth models that use an aggregate production function and then introduce the concept of GPTs, complete with a study of how these technologies have transformed the West since the Neolithic Agricultural Revolution. Early modern science is given more importance than in most other treatments and the 19th century demographic revolution is studied with a combination of formal models of population dynamics and historical analysis. The authors argue that once sustained growth was established in the West, formal models can shed much light on its subsequent behaviour. They build non-conventional, dynamic, non-stationary equilibrium models of GPT-driven growth that incorporate a range of phenomena that their historical studies show to be important but which are excluded from other GPT models in the interests of analytical tractability. The book concludes with a study of the policy implications that follow from their unique approach.
On cover: TEP - The Technology Economy Programme
Military and defense-related procurement has been an important source of technology development across a broad spectrum of industries that account for an important share of United States industrial production. In this book, the author focuses on six general-purpose technologies: interchangeable parts and mass production; military and commercial aircraft; nuclear energy and electric power; computers and semiconductors; the INTERNET; and the space industries. In each of these industries, technology development would have occurred more slowly, and in some case much more slowly or not at all, in the absence of military and defense-related procurement. The book addresses three questions that have significant implications for the future growth of the United States economy. One is whether changes in the structure of the United States economy and of the defense-industrial base preclude military and defense-related procurement from playing the role in the development of advanced technology in the future, comparable to the role it has played in the past. A second question is whether public support for commercially oriented research and development will become an important source of new general-purpose technologies. A third and more disturbing question is whether a major war, or the threat of major war, will be necessary to mobilize the scientific, technical, and financial resources necessary to induce the development of new general-purpose technologies. When the history of United States technology development in the next half century is written, it will focus on incremental rather than revolutionary changes in both military and commercial technology. It will also be written within the context of slower productivity growth than of the relatively high rates that prevailed in the United States in the 1950s and 1960s or during the information technology bubble that began in the early 1990s. These will impose severe constraints on the capacity of the United States to sustain a global-class military posture and a position of leadership in the global economy.
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
A comprehensive, rigorous, and up-to-date introduction to growth economics that presents all the major growth paradigms and shows how they can be used to analyze the growth process and growth policy design. This comprehensive introduction to economic growth presents the main facts and puzzles about growth, proposes simple methods and models needed to explain these facts, acquaints the reader with the most recent theoretical and empirical developments, and provides tools with which to analyze policy design. The treatment of growth theory is fully accessible to students with a background no more advanced than elementary calculus and probability theory; the reader need not master all the subtleties of dynamic programming and stochastic processes to learn what is essential about such issues as cross-country convergence, the effects of financial development on growth, and the consequences of globalization. The book, which grew out of courses taught by the authors at Harvard and Brown universities, can be used both by advanced undergraduate and graduate students, and as a reference for professional economists in government or international financial organizations. The Economics of Growth first presents the main growth paradigms: the neoclassical model, the AK model, Romer's product variety model, and the Schumpeterian model. The text then builds on the main paradigms to shed light on the dynamic process of growth and development, discussing such topics as club convergence, directed technical change, the transition from Malthusian stagnation to sustained growth, general purpose technologies, and the recent debate over institutions versus human capital as the primary factor in cross-country income differences. Finally, the book focuses on growth policies—analyzing the effects of liberalizing market competition and entry, education policy, trade liberalization, environmental and resource constraints, and stabilization policy—and the methodology of growth policy design. All chapters include literature reviews and problem sets. An appendix covers basic concepts of econometrics.
"Innovation and entrepreneurship are ubiquitous today, both as fields of study and as starting points for conversations among experts in government and economic development. But while these areas on continue to attract public and private investments, many measurements of their resulting economic growth-including productivity growth and business dynamism-have remained modest. Why this difference? Because not all business sectors are the same, and the transformative gains of some industries have been offset by stagnation or contraction in others. Accordingly, a nuanced understanding of the economy requires a nuanced understanding of where innovation and entrepreneurship occur and where they matter. Answering these questions allows for strategic public investment and the infrastructure for economic growth.The Role of Innovation and Entrepreneurship in Economic Growth, the latest entry in the NBER conference series, seeks to codify these answers. The editors leverage industry studies to identify specific examples of productivity improvements enabled by innovation and entrepreneurship, including those from new production technologies, increased competition, new organizational forms, and other means. Taken together, the volume illuminates whether the contribution of innovation and entrepreneurship to economic growth is likely to be concentrated, be it selected sectors or more broadly"--
This bold re-examination of the history of U.S. economic growth is built around a novel claim, that productive capacity grew dramatically across the Depression years (1929-1941) and that this advance provided the foundation for the economic and military success of the United States during the Second World War as well as for the golden age (1948-1973) that followed.Alexander J. Field takes a fresh look at growth data and concludes that, behind a backdrop of double-digit unemployment, the 1930s actually experienced very high rates of technological and organizational innovation, fueled by the maturing of a privately funded research and development system and the government-funded build-out of the country's surface road infrastructure. This significant new volume in the Yale Series in Economic and Financial History invites new discussion of the causes and consequences of productivity growth over the last century and a half and on our current prospects.
Explores Schumpeter's views as an economist who was, long ago, committed to the notion of the endogeneity of technology.
Technology's contribution to economic growth and competitiveness has been the subject of vigorous debate in recent years. This book demonstrates the importance of a historical perspective in understanding the role of technological innovation in the economy. The authors examine key episodes and institutions in the development of the U.S. research system and in the development of the research systems of other industrial economies. They argue that the large potential contributions of economics to the understanding of technology and economic growth have been constrained by the narrow theoretical framework employed within neoclassical economies. A richer framework, they believe, will support a more fruitful dialogue among economists, policymakers, and managers on the organization of public and private institutions for innovation. David Mowery is Associate Professor of Business and Public Policy at the School of Business Administration, University of California, Berkeley. Nathan S. Rosenberg is Fairleigh Dickinson Professor of Economics at Stanford University. He is the author of Inside the Black Box: Technology and Economics (CUP, 1983).