Measuring the Digital Transformation: A Roadmap for the Future provides new insights into the state of the digital transformation by mapping indicators across a range of areas – from education and innovation, to trade and economic and social outcomes – against current digital policy issues, as presented in Going Digital: Shaping Policies, Improving Lives.
In this wide ranging exposition of the various economic theories of technological change, Stanislaw Gomulka relates them to rates of growth experienced by different economies in both the short and the long term. Analysis of countries as diverse as Japan, the Soviet Union and the United Kingdom demonstrates that there is an interdependence between technological change and the institutional and cultural characteristics of different countries, which can have a profound effect on their rates of growth. All of the major, relevant models are discussed, including those of Kuznets and Phelps, but throughout the emphasis is on the creation of a unified theoretical framework to help explain the impact of technological progress on both a micro and a macro scale.
Measuring Innovation is a major step towards evidence-based innovation policy making. It complements traditional “positioning”-type indicators with ones that show how innovation is, or could be, linked to policy.
This authoritative and stimulating book represents a fundamental critique of the aggregate production function, a concept widely used in macroeconomics.
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).
Griliches was a modern master of empirical economics. Here, he recounts what he and others have learned about the sources of economic growth, and conveys how he tackled research problems. For Griliches, theorizing without measurement produces mere parables, but measurement without theory is blind. Judgment enables one to strike the right balance.
This is the first book to comprehensibly describe how technology has shaped society and the environment over the last 200 years. It will be useful for researchers, as a textbook for graduate students, for people engaged in long-term policy planning in industry and government, for environmental activists, and for the wider public interested in history, technology, or environmental issues.
Entrepreneurship, Innovation and Technological Change links the prevalent theory from the entrepreneurship literature concerning opportunity recognition and exploitation to economic theory, in particular the model of the knowledge production function.
Quantitative studies of science and technology represent the research field of utilization of mathematical, statistical, and data-analytical methods and techniques for gathering, handling, interpreting, and predicting a variety of features of the science and technology enterprise, such as performance, development, and dynamics. The field has both strongly developed applied research as well as basic research characteristics.The principal purpose of this handbook is to present this wide range of topics in sufficient depth to give readers a reasonably systematic understanding of the domain of contemporary quantitative studies of science and technology, a domain which incorporates theory, methods and techniques, and applications. In addressing this domain, the handbook aims at different groups of readers: those conducting research in the field of science and technology, including (graduate) students, and those who are to use results of the work presented in this book.
Conference report on a seminar on manpower policy and programme to examine the measurement of technological change and of productivity in the USA - comprises a paper and record of discussions on the implications of technological change in respect of labour force trends and employment policy. Conference held in Washington 1964 October 23.
