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Treating Patents as Relational Data: Knowledge Transfers and Spillovers across Italian Provinces

Author

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  • Mario Maggioni
  • Teodora Erika Uberti
  • Stefano Usai

Abstract

The paper applies a relational perspective to patent data in order to investigate the characteristics of innovation flows within and across 103 Italian NUTS3 regions (province). In this way it is possible to use the CRENoS database on regional patenting—built on EPO data spanning from 1978 to 2003—to investigate the scientific and technological “relations” among “invention-creating ” and “invention-adopting ” territories. In particular, patents are used as relational data connecting inventors and applicants along a dual interpretation of a “knowledge production” and a “knowledge utilization” function. In addition a gravity model is used to identify frictions and attractions of the Italian innovation system. Analytical tools, such as social network analysis, spatial econometrics and negative binomial estimation procedures, are used to map and measure the structure and the evolution of a series of innovation sub-systems, both at territorial level (i.e. province) and at the industry level (i.e. five specific industries, chosen according to the Pavitt's taxonomy, Footwear, Textiles, Machinery, Personal Computers and Chemicals).

Suggested Citation

  • Mario Maggioni & Teodora Erika Uberti & Stefano Usai, 2011. "Treating Patents as Relational Data: Knowledge Transfers and Spillovers across Italian Provinces," Industry and Innovation, Taylor & Francis Journals, vol. 18(1), pages 39-67.
  • Handle: RePEc:taf:indinn:v:18:y:2011:i:1:p:39-67
    DOI: 10.1080/13662716.2010.528928
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    References listed on IDEAS

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    1. Manuel Trajtenberg, 1990. "A Penny for Your Quotes: Patent Citations and the Value of Innovations," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 172-187, Spring.
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    More about this item

    Keywords

    Patents; network analysis; spatial econometrics; relational data; regional innovation system; Italy;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • 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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