Science and technology have long been regarded as important determinants of economic growth. Edwin Mansfield (1971, pp. 1- 2), a pioneer in the economics of technological change, noted: Technological change is an important, if not the most important, factor responsible for economic growth . . . without question, [it] is one of the most important determinants of the shape and evolution of the American economy. Science and technology are even more important in the "new economy," with its greater emphasis on the role of intellectual property and knowledge transfer. Therefore, it is unfortunate that most individuals rarely have the opportunity to explore the economic implications of science and technology. As a result, the antecedents and consequences of technological change are poorly understood by many in the general public. This lack of understanding is reflected in a recent survey conducted by the National Science Board (2000), summarized in Science & Engineering Indicators. ' As shown in Table 1. 1, the findings of the survey indicated that many Americans, despite a high level of interests in such matters, are not as well-informed about technological issues as they are about other policy issues. As shown in the table, individuals self assess, based on a scale from 1 to 100, their interest in science and technology policy issues as being relatively high, yet they self assess their knowledge or informedness about these issues relatively lower.

The beauty of science may be pure and eternal, but the practice of science costs money. And scientists, being human, respond to incentives and costs, in money and glory. Choosing a research topic, deciding what papers to write and where to publish them, sticking with a familiar area or going into something new—the payoff may be tenure or a job at a highly ranked university or a prestigious award or a bump in salary. The risk may be not getting any of that. At a time when science is seen as an engine of economic growth, Paula Stephan brings a keen understanding of the ongoing cost-benefit calculations made by individuals and institutions as they compete for resources and reputation. She shows how universities offload risks by increasing the percentage of non-tenure-track faculty, requiring tenured faculty to pay salaries from outside grants, and staffing labs with foreign workers on temporary visas. With funding tight, investigators pursue safe projects rather than less fundable ones with uncertain but potentially path-breaking outcomes. Career prospects in science are increasingly dismal for the young because of ever-lengthening apprenticeships, scarcity of permanent academic positions, and the difficulty of getting funded. Vivid, thorough, and bold, How Economics Shapes Science highlights the growing gap between the haves and have-nots—especially the vast imbalance between the biomedical sciences and physics/engineering—and offers a persuasive vision of a more productive, more creative research system that would lead and benefit the world.

The past two decades have seen a gradual but noticeable change in the economic organization of innovative activity. Most firms used to integrate research and development with activities such as production, marketing, and distribution. Today firms are forming joint ventures, research and development alliances, licensing deals, and a variety of other outsourcing arrangements with universities, technology-based start-ups, and other established firms. In many industries, a division of innovative labor is emerging, with a substantial increase in the licensing of existing and prospective technologies. In short, technology and knowledge are becoming definable and tradable commodities. Although researchers have made significant advances in understanding the determinants and consequences of innovation, until recently they have paid little attention to how innovation functions as an economic process. This book examines the nature and workings of markets for intermediate technological inputs. It looks first at how industry structure, the nature of knowledge, and intellectual property rights facilitate the development of technology markets. It then examines the impacts of these markets on firm boundaries, the division of labor within the economy, industry structure, and economic growth. Finally, it examines the implications of this framework for public policy and corporate strategy. Combining theoretical perspectives from economics and management with empirical analysis, the book also draws on historical evidence and case studies to flesh out its research results.

The essays in this open access volume identify the key ingredients for success in capitalizing on public investments in scientific projects and the development of large-scale research infrastructures. Investment in science – whether in education and training or through public funding for developing new research tools and technologies – is a crucial priority. Authors from big research laboratories/organizations, funding agencies and academia discuss how investing in science can produce societal benefits as well as identifying future challenges for scientists and policy makers. The volume cites different ways to assess the socio-economic impact of Research Infrastructures and their role as hubs of global collaboration, creativity and innovation. It highlights the different benefits stemming from fundamental research at the local, national and global level, while also inviting us to rethink the notion of “benefit” in the 21st century. Public investment is required to maintain the pace of technological and scientific advancements over the next decades. Far from advocating a radical transformation and massive expansion in funding, the authors suggest ways for maintaining a strong foundation of science and research to ensure that we continue to benefit from the outputs. The volume draws inspiration from the first “Economics of Big Science” workshop, held in Brussels in 2019 with the aim of creating a new space for dialogue and interaction between representatives of Big Science organizations, policy makers and academia. It aspires to provide useful reading for policy makers, scientists and students of science, who are increasingly called upon to explain the value of fundamental research and adopt the language and logic of economics when engaging in policy discussions.

Economics has the capacity to offer us deep insights into some of the most formidable problems of life, and offer solutions to them too. Combining a global approach with examples from everyday life, Partha Dasgupta describes the lives of two children who live very different lives in different parts of the world: in the Mid-West USA and in Ethiopia. He compares the obstacles facing them, and the processes that shape their lives, their families, and their futures. He shows how economics uncovers these processes, finds explanations for them, and how it forms policies and solutions. Along the way, Dasgupta provides an intelligent and accessible introduction to key economic factors and concepts such as individual choices, national policies, efficiency, equity, development, sustainability, dynamic equilibrium, property rights, markets, and public goods. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

This book is largely based on a 1998 forum where participants from across America discussed ways to improve the utilization of science and technology for economic growth over the next several decades. A steering committee of prominent Americans, co-chaired by SEMATECH Chairman William Spencer and former Pennsylvania Governor and U.S. Attorney General Dick Thornburgh, developed consensus recommendations from the forum input. Harnessing Science and Technology for America's Economic Future puts forward long-term goals for the nation and associated action items. It includes background papers and talks from the forum, covers the economics of science and technology-based growth, industry trends, the role of government, education, research universities, and the international context.

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).