Abstract
The paper presents methodological approaches to statistical patent analyses. The references to timescales, countries of origin, and patent offices largely determine the outcome of such analyses; in particular, for country comparisons. For instance, considerable differences appear if results are compared based on priority, application, or grant years. For interpreting the patent figures at specific offices it proves important to consider the geostrategic position of the office. Advanced approaches such as the triad concept lead to more balanced results, but their assessment has to include a consideration of international patent flows. For quality indicators it has to be taken into account that patents are always two-dimensional and have technical and economic aspects. In principle early quality indicators primarily cover the technological content. A further issue is the definition of samples aiming at a large number of suitable documents which is sometimes contradictory to the target of completeness.
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References
Archibugi, D. (1992). Patenting as an indicator of technological innovation: A Review. Science and Public Policy, 10, 357–368.
Basberg, B.L. (1983). Foreign patenting in the US as a technology indicator. Research Policy, 12, 227–237.
Basberg, B.L. (1987). Patents and the measurement of technological change: a survey of the literature. Research Policy, 16, 131–141.
Campbell, R.S., Nieves, A.L. (1979). Technology indicators base don patent data: The case of catalytic converters. Richland: Batelle Pacific Northwest.
Carpenter, M.P., Narin, F. (1983). Validation study: Patent citations as indicators of science and foreign dependence. World Patent Information, 5, 180–185.
Department of Commerce. (2000). Changes to implement eighteen-month publication of patent applications. Federal Register, 65. (183). September 20, 2000, 57024–57061. Washington, D. C.: DOC.
Dernis, H. (2003). OECD triadic patent families. Presentation at the WIPO-OECD Workshop on’ statistics in the Patent field’ in Geneva. September 18 and 19, 2003.
Dernis, H., Guellec, D., van Pottelsberghe, B. (2001). Using patent counts for cross-country comparison of technology output. STI Review (OECD), 27, 129–146.
DPMA (2002). Annual Report 2002. München: DPMA.
EPO (2001). Annual Report 2001. Munich: EPO.
EPO (2002). Annual Report 2002. Munich: EPO.
EPO, JPO, USPTO (2001). Trilateral Statistical Report. 2001 Edition. Munich, Tokyo, Washington, D.C.: EPO, JPO, USPTO.
Faust, K. (1990). Early identification of technological advances on the basis of patent data. Scientometrics, 19, 473–480.
Gerstenberger, W. (1992). Zur Wettbewerbsposition der deutschen Industrie im High-Tech-Bereich. Ifo Schnelldienst, 13, 14–23.
Griliches, Z. (1990). Patent statistics as economic indicators: A Survey. Journal of Economic Literature, 28, 1661–1707.
Grupp, H., Schmoch, U. (1999). Patent statistics in the age of globalisation: new legal procedures, new analytical methods, new economic interpretation. Research Policy, 28, 377–396.
Grupp, H., Münt, G., Schmoch, U. (1996). Assessing different types of patent data for describing high-technology performance. In OECD (Ed.), Innovation, Patents and Technology Strategies (pp. 271–284). Paris: OECD.
Guellec, D., van Pottelsberghe de la Potterie, B. (2000). Applications, grants and the value of patents. Economic Letters, 69, 109–114.
Harhoff, D. Scherer, F. M., Vopel, K. (2003). Citations, family size, opposition and the value of patent rights. Research Policy, 32, 1343–1363.
Hinze, S., Jappe, A., Koschatzky, K. (2002). International Benchmark Club. Innovationsstatistik. Vorstudie Patente und Bibliometrie. Karlsruhe: Fraunhofer-ISI
JPO. (2002). Annual Report 2002. Part III Statistics. Tokyo: JPO.
Kuntze, U., Müller, P., Pfeiffer, R., Rempp, H., Westermann, G. (1975). Erfassung und Bewertung technologischer Entwicklungstrends auf der Basis des im Deutschen Patentamts vorhandenen Datenmaterials und technologischen Wissens. Karlsruhe: Fraunhofer-ISI.
Narin, F., Noma, E., Perry, R. (1987). Patents as indicators of corporate technology strength. Research Policy, 16, 143–155.
OECD. (1994). The measurement of scientific and technological activities. Using patent data as science and technology indicators. Patent Manual 1994. Paris.
Pavitt, K. (1985). Patent statistics as indicators of innovative activities: possibilities and problems. Scientometrics, 7, 77–99.
Schmoch, U. (1999a). Eignen sich Patente als Innovationsindikatoren? In R. Boch (Ed.), Patentschutz und Innovation in Geschichte und Gegenwart. (pp. 113–126). Frankfurt a. M.: Verlag Peter Lang.
Schmoch, U. (1999b). Impact of international patent applications on patent indicators. Research Evaluation, 8, 119–131.
Schmoch, U., Frietsch, R. (2001). Patentaktivitäten: Dynamik und Spezialisierung im internationalen Längs-und Querschnitt. In NIW, DIW, Fraunhofer-ISI, ZEW, Stifterverband (Ed.), Indikatorenbericht zur technologischen Leistungsfähigkeit Deutschlands 2000/2001 (pp. 100–112). Hannover: NIW.
Schmoch, U., Grupp, H., Mannsbart, W., Schwitalla, B. (1988). Technikprognosen mit Patentindikatoren. Zur Einschätzung zukünftiger industrieller Trends bei Industrierobotern, Lasern, Solargeneratoren und immobilisierten Ernzymen. Köln: Verlag TÜV Rheinland.
Schmookler, J. (1966). Invention and Economic Growth. Cambridge (Mass.): Harvard UP.
Soete, L.G., Wyatt. S.M.E. (1983). The use of foreign patenting as an international comparable science and technology output indicator. Scientometrics, 5, 31–54.
Trajtenberg, M. (1990). A penny for your quotes: patent citations and the value of inventions. RAND Journal of Economics, 21, 172–187.
USPTO. (2001). Performance and Accountability Report: Fiscal Year 2001. Washington, D.C.: USPTO.
USPTO. (2002). Performance and Accountability Report: Fiscal Year 2002. Washington, D.C.: USPTO.
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Hinze, S., Schmoch, U. (2004). Opening the Black Box. 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_10
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DOI: https://doi.org/10.1007/1-4020-2755-9_10
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