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Explaining the Patenting Propensity: A Regional Analysis Using EPO-OECD Data

In: Geographical Labor Market Imbalances. Recent Explanations and Cures

Author

Listed:
  • Claudio Cozza

    (Università di Trieste)

  • Francesco Schettino

    (Seconda Università di Napoli)

Abstract

The aim of this chapter is to conduct an empirical study of the patenting propensity at the European regional level using the OECD-REGPAT dataset.We use patent applications by inventor’s region as, in this case, linkage to the territory is stronger than using applicant’s region. Data analysis reveals the existence of a deep, uneven distribution of patent applications, R&D expenditure and human capital. Richer regions show higher levels of both private and public R&D expenditure as well as a consistent share of the total European patent applications. Starting from the analysis of these key variables, we proceed explaining the determinants of patenting propensity. The results substantially confirm the significant role of R&D expenditure on patenting activity: mainly the business enterprises, but also the government sector component. Human capital variables show similar positive effect, while average enterprise size seems not to play a determining role in patent applications.

Suggested Citation

  • Claudio Cozza & Francesco Schettino, 2015. "Explaining the Patenting Propensity: A Regional Analysis Using EPO-OECD Data," AIEL Series in Labour Economics,in: Chiara Mussida & Francesco Pastore (ed.), Geographical Labor Market Imbalances. Recent Explanations and Cures, edition 1, chapter 10, pages 219-236 AIEL - Associazione Italiana Economisti del Lavoro.
  • Handle: RePEc:ail:chapts:08-10
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    References listed on IDEAS

    as
    1. Michele Cincera, 2005. "The link between firms' R&D by type of activity and source of funding and the decision to patent," DULBEA Working Papers 05-10.RS, ULB -- Universite Libre de Bruxelles.
    2. Bronwyn H. Hall & Grid Thoma & Salvatore Torrisi, 2006. "The market value of patents and R&D: Evidence from European firms," KITeS Working Papers 186, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Nov 2006.
    3. Nicolas van Zeebroeck & Bruno van Pottelsberghe de la Potterie, 2011. "The vulnerability of patent value determinants," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(3), pages 283-308.
    4. Bronwyn H. Hall & Albert N. Link & John T. Scott, 2003. "Universities as Research Partners," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 485-491, May.
    5. Narin, Francis & Breitzman, Anthony, 1995. "Inventive productivity," Research Policy, Elsevier, vol. 24(4), pages 507-519, July.
    6. Francesco Schettino, 2007. "Us Patent Citations Data And Industrial Knowledge Spillovers," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(8), pages 595-633.
    7. Jean O. Lanjouw & Mark Schankerman, 2004. "Patent Quality and Research Productivity: Measuring Innovation with Multiple Indicators," Economic Journal, Royal Economic Society, vol. 114(495), pages 441-465, April.
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    More about this item

    Keywords

    Patents; Intellectual property rights; Innovation; EPO; R&D;

    JEL classification:

    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • K29 - Law and Economics - - Regulation and Business Law - - - Other
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • K19 - Law and Economics - - Basic Areas of Law - - - Other

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