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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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    File URL: http://link.springer.com/chapter/10.1007/978-3-642-55203-8_10
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    Cited by:

    1. Patelli, Aurelio & Napolitano, Lorenzo & Cimini, Giulio & Gabrielli, Andrea, 2023. "Geography of science: Competitiveness and inequality," Journal of Informetrics, Elsevier, vol. 17(1).
    2. Roberto Antonietti & Sandro Montresor, 2019. "Regional diversification patterns and Key Enabling Technologies (KETs) in Italian regions," Papers in Evolutionary Economic Geography (PEEG) 1928, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2019.

    More about this item

    Keywords

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    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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