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Econometric persistence in innovation and analysis of the patent activity of Russian companies

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  • Kaneva, Maria

    (Institute of Economics and Industrial Engineering SB RAS, Novosibirsk, Russia)

Abstract

The paper investigates the phenomenon of persistence in innovation and factors that determine it. Using a database of 860 Russian patents Kaplan–Meier estimators, showing the percentage of firms that are persistent in innovations at a particular time, are computed. Based on the three forms of Weibull regression characteristics of a persistent innovator for the sample are determined: it is a company that specializes in chemical manufacturing with four patents belonging to different patent classes. Our calculations did not confirm a theoretical statement that the persistence in innovation rises with the number of patents that a firm has at the start of the innovation spell («success breeds success»).

Suggested Citation

  • Kaneva, Maria, 2013. "Econometric persistence in innovation and analysis of the patent activity of Russian companies," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 32(4), pages 93-109.
    • Handle: RePEc:ris:apltrx:0225
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    References listed on IDEAS

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    1. Malerba, Franco & Orsenigo, Luigi, 1999. "Technological entry, exit and survival: an empirical analysis of patent data," Research Policy, Elsevier, vol. 28(6), pages 643-660, August.
    2. Bettina Peters, 2009. "Persistence of innovation: stylised facts and panel data evidence," The Journal of Technology Transfer, Springer, vol. 34(2), pages 226-243, April.
    3. Antonelli, Cristiano & Crespi, Francesco & Scellato, Giuseppe, 2012. "Inside innovation persistence: New evidence from Italian micro-data," Structural Change and Economic Dynamics, Elsevier, vol. 23(4), pages 341-353.
    4. Geroski, P. A. & Van Reenen, J. & Walters, C. F., 1997. "How persistently do firms innovate?," Research Policy, Elsevier, vol. 26(1), pages 33-48, March.
    5. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
    6. Emmanuel Duguet & Stéphanie Monjon, 2004. "Is innovation persistent at the firm Level. An econometric examination comparing the propensity score and regression methods," Cahiers de la Maison des Sciences Economiques v04075, Université Panthéon-Sorbonne (Paris 1).
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    Cited by:

    1. Maria Kaneva & Galina Untura & Alexey Zabolotsky, 2024. "The Impact of Geographical, Technological, and Cognitive Proximities on Knowledge Creation in the Russian Regions," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 11355-11387, September.

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    More about this item

    Keywords

    persistence; innovation activity; patent; Kaplan-Meier estimator; Weibull regression;
    All these keywords.

    JEL classification:

    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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