Abstract
With the emergence of the knowledge based society, great emphasis is put on the development of qualitative and quantitative policy tools for analysing the science and innovation system. In this chapter an overview is given of the available R&D input data at (supra) national and regional level. With the Frascati Manual the OECD provides a methodological framework for setting up national surveys to collect these data. This methodology is used to produce standardised measurements of human and financial resources devoted to R&D by OECD member countries. EUROSTAT adapted and extended this methodology to produce for the EU countries R&D input data at regional level. To measure the performance of national and regional R&D systems, input and output data have to be combined. The methodologies for collecting input and output data have, however, been developed largely independently from each other. The resulting limitations on their use in performance indicators are discussed, and suggestions are formulated for a more integrated approach to construct input and output data.
Keywords
- Statistical Unit
- Patent Data
- High Education Sector
- International Patent Classification
- Community Innovation Survey
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Referneces
Bonaccorsi, A., Daraio, C. (2004). Econometric approaches to the analysis of productivity of R&D systems. Production functions and production frontiers. This Handbook.
European Commission (2003). Third European report on science & techmology indicators 2003. Towards a knowledge-based economy. Brussels: European Commission, Directorate-General for Research.
Eurostat (2003). Statistics on science and technology, 1980-2002 (CD-ROM).
Glänzel, W., Schibert A. (2003). A new classification scheme of fields of science and subfields designed for scientometric evaluation purposes. Scientometrics, 56, 357–367.
Jaffe, A.B., Trajtenberg, M. (2002). Patents, citations and innovations: a window on the knowledge economy. Cambridge: MIT Press.
Narin, F.J., Hamilton, F., Olivastro, D. (1997). The increasing linkage between US technology and science. Research Policy, 26, 317–330.
OECD (1990). Proposed standard method of compiling and interpreting technology balance of payment data TBP Manual 1990. The measurement of scientific and technological activities series. Paris.
OECD (1994). Using patent data as science and technology indicators Patent Manual 1994. The measurement of scientific and technological activities series, Paris.
OECD (2002). Basic science and technology statistics (CD-rom).
OECD (2002). International mobility of the highly skilled.
OECD (2002). Frascati Manual. Proposed standard practice for surveys on research and experimental development.
OECD / EUROSTAT (1997). Proposed guidelines for collecting and interpreting technological innovation data Oslo Manual. The measurement of scientific and technological activities series, Paris.
OECD / EUROSTAT (1995). The measurement of human resources devoted to science and technology — Canberra Manual. The measurement of scientific and technological activities series, Paris.
Okubo, Y. (1997). Bibliometric indicators and analysis of research systems, methods and examples. OECD, STI Working Paper 1997/1.
UNESCO (1978). Recommendations concerning the international standardisation of statistics on science and technology.
UNESCO (2003). Immediate, medium and longer term strategy in science and technology statistics. Internal review of science and technology statistics and indicators (www.uis.unesco.org).
UNESCO, (2001). The state of science and technology in the world, 1996–1997. (www.uis.unesco.org)
van Raan, A.F.J. (Ed.). (1988). Handbook of quantitative studies of science and technology. Amsterdam: North-Holland.
Verbeek, A., Debackere, K., Luwel, M. (2003). Science cited in patents: A geographic “flow” analysis of bibliographic patterns in patents. Scientometrics, 58, 241–263.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Kluwer Academic Publishers
About this chapter
Cite this chapter
Luwel, M. (2004). The Use of Input Data in the Performance Analysis of R&D Systems. In: Moed, H.F., Glänzel, W., Schmoch, U. (eds) Handbook of Quantitative Science and Technology Research. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2755-9_15
Download citation
DOI: https://doi.org/10.1007/1-4020-2755-9_15
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-2702-4
Online ISBN: 978-1-4020-2755-0
eBook Packages: Humanities, Social Sciences and LawHistory (R0)