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This 2020 edition of OECD Research and Development Expenditure in Industry provides statistical data on R&D expenditure broken down by industrial and service sectors. Data are presented in current and constant USD PPP values. Coverage is provided for 34 OECD countries and four non-member economies. The coverage of ANBERD includes multiple sectors, with extended coverage of service sectors according to ISIC Revision 4 classification. This publication is a unique source of detailed internationally-comparable business R&D data, making it an invaluable tool for economic research and analysis.
Perceptions that the pace of new-drug development has slowed and that the pharmaceutical industry is highly profitable have sparked concerns that significant problems loom for future drug development. This Congressional Budget Office (CBO) study-prepared at the request of the Senate Majority Leader-reviews basic facts about the drug industry's recent spending on research and development (R&D) and its output of new drugs. The study also examines issues relating to the costs of R&D, the federal government's role in pharmaceutical research, the performance of the pharmaceutical industry in developing innovative drugs, and the role of expected profits in private firms' decisions about investing in drug R&D. In keeping with CBO's mandate to provide objective, impartial analysis, the study makes no recommendations. David H. Austin prepared this report under the supervision of Joseph Kile and David Moore. Colin Baker provided valuable consultation...
Europe’s growth outlook has weakened notably in the wake of the global financial crisis, and policy-makers are understandably preoccupied with achieving a near-term rebound. But sustained growth can only be achieved by also addressing the structural causes of low growth. One such element is Europe’s relatively low spending on research and development (R&D), which hampers innovation and productivity growth. This study sheds light on this shortfall by decomposing R&D spending along different dimensions. It shows that Europe’s underinvestment in R&D is unevenly distributed across countries, regions and sectors. Strong economic forces underpinning this differentiation imply that misdirected R&D policies could be highly wasteful. Another key finding is that, by its sheer size, the services sector accounts for a substantial portion of Europe’s lag vis-à-vis the United States in terms of both R&D spending and productivity growth. This points to a continuing need to foster competition and deregulation in this protected segment of the economy, if higher economic growth is to be achieved.
The internationally recognised methodology for collecting and using R&D statistics, the OECD's Frascati Manual is an essential tool for statisticians and science and innovation policy makers worldwide. It includes definitions of basic concepts, data collection guidelines, and classifications ...
This annual publication presents R&D expenditure data (ANBERD) for 16 OECD countries, as well as a zone total for the European Union. The coverage has been extended to 58 sectors, including extended coverage of the services, starting with the survey year 1987.
Presents annual data on R&D expenditure in national currency values broken down by industrial and service sectors.
This publication draws a comprehensive picture of the Science, Technology and Innovation activities in the European Union as carried out by its people, enterprises and governments. It provides the reader with statistical information to appreciate the evolution and composition of science and technology in Europe and its position with regard to its partners. The pocketbook is divided into seven chapters among which: Government budget appropriations or outlays on Research and Development (GBAORD), R&D Expenditure, R&D Personnel, Human Resources in Science and Technology, Innovation, Patents, High-technology.
The United States faces a new challengeâ€"maintaining the vitality of its system for supporting science and technology despite fiscal stringency during the next several years. To address this change, the Senate Appropriations Committee requested a report from the National Academies of Sciences and Engineering and the Institute of Medicine to address "the criteria that should be used in judging the appropriate allocation of funds to research and development activities; to examine the appropriate balance among different types of institutions that conduct such research; and to look at the means of assuring continued objectivity in the allocation process." In this eagerly-awaited book, a committee of experts selected by the National Academies and the Institute responds with 13 recommendations that propose a new budgeting process and formulates a series of questions to address during that process. The committee also makes corollary recommendations about merit review, government oversight, linking research and development to government missions, the synergy between research and education, and other topics. The recommendations are aimed at rooting out obsolete and inadequate activities to free resources from good programs for even better ones, in the belief that "science and technology will be at least as important in the future as they have been in the past in dealing with problems that confront the nation." The authoring committee of this book was chaired by Frank Press, former President of the National Academy of Sciences (1981-1993) and Presidential Science and Technology Advisor (1977-1981).
The science and engineering enterprise has continued to evolve, responding over the last decade to increased economic globalization, a post-cold war military, federal budget fluctuations, and structural changes in the way science and engineering are conducted and innovations are adopted. This report suggests ways to revise the data collection activities of the Science Resources Studies Division (SRS) of the National Science Foundation to better capture the current realities of R&D funding and S&E human resources. The report's recommendations would improve the relevance of the data on graduate education, the labor market for scientists and engineers, and the funding and conduct of research and development, and thus better meet the data needs of policymakers, managers, and researchers.