Developing science, technology and innovation indicators: what we can learn from the past
AbstractThe science-technology-innovation system is one that is continuously and rapidly evolving. The dramatic growth over the last twenty years in the use of science, technology and innovation (STI) indicators appears first and foremost the result of a combination between on the one hand the easiness of computerized access to an increasing number of measures of STI and on the other hand the interest in a growing number of public policy and private business circles in such indicators as might be expected in societies which increasingly use organised science and technology to achieve a wide variety of social and economic objectives and in which business competition is increasingly based on innovation. As highlighted on the basis of 40 years of indicators work, frontiers and characteristics that were important last century may well no longer be so relevant today and indeed may even be positively misleading.
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Bibliographic InfoPaper provided by United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT) in its series MERIT Working Papers with number 001.
Date of creation: 2007
Date of revision:
Technological Change; Science and Technology; Innovation; Statistical Indicators; Measurement of Economic Growth; Policy Making;
Other versions of this item:
- Freeman, Christopher & Soete, Luc, 2009. "Developing science, technology and innovation indicators: What we can learn from the past," Research Policy, Elsevier, vol. 38(4), pages 583-589, May.
- O31 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
- O33 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
- O47 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
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