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

Author

Listed:
  • 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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    Cited by:

    1. Francesco Bogliacino & Mario Pianta, 2016. "The Pavitt Taxonomy, revisited: patterns of innovation in manufacturing and services," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(2), pages 153-180, August.
    2. D'Ambrosio, Anna & Montresor, Sandro & Parrilli, Mario Davide & Quatraro, Francesco, 2017. "Migration, communities-on-the-move and international innovation networks: An empirical analysis of Spanish regions," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201701, University of Turin.
    3. Raffaele Paci & Emanuela Marrocu & Stefano Usai, 2014. "The Complementary Effects of Proximity Dimensions on Knowledge Spillovers," Spatial Economic Analysis, Taylor & Francis Journals, vol. 9(1), pages 9-30, March.
    4. Jackie Krafft & Francesco Quatraro & Pier Paolo Saviotti, 2014. "The Dynamics of Knowledge-intensive Sectors' Knowledge Base: Evidence from Biotechnology and Telecommunications," Industry and Innovation, Taylor & Francis Journals, vol. 21(3), pages 215-242, April.
    5. repec:taf:regstd:v:51:y:2017:i:8:p:1246-1258 is not listed on IDEAS
    6. Francesco Quatraro & Stefano Usai, 2017. "Are knowledge flows all alike? Evidence from European regions," Regional Studies, Taylor & Francis Journals, vol. 51(8), pages 1246-1258, August.
    7. Favaro, Donata & Ninka, Eniel & Turvani, Margherita, 2014. "Knowledge externalities and knowledge creation: the role of inventors’ working relationships and mobility," MPRA Paper 64527, University Library of Munich, Germany.
    8. Mario Maggioni & Teodora Uberti, 2011. "Networks and geography in the economics of knowledge flows," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1031-1051, August.
    9. Mario Maggioni & Teodora Uberti & Mario Nosvelli, 2014. "Does intentional mean hierarchical? Knowledge flows and innovative performance of European regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 453-485, September.
    10. Mirko Titze & Matthias Brachert, 2014. "European Cluster Networks ? Insights from 7th EU Framework Program," ERSA conference papers ersa14p552, European Regional Science Association.
    11. Martina Fromhold-Eisebith & Claudia Werker, 2013. "Universities’ functions in knowledge transfer: a geographical perspective," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(3), pages 621-643, December.
    12. repec:bla:presci:v:96:y:2017:i:1:p:139-162 is not listed on IDEAS
    13. Stefano Usai & Emanuela Marrocu & Raffaele Paci, 2017. "Networks, Proximities, and Interfirm Knowledge Exchanges," International Regional Science Review, , vol. 40(4), pages 377-404, July.
    14. Sun, Yutao, 2016. "The structure and dynamics of intra- and inter-regional research collaborative networks: The case of China (1985–2008)," Technological Forecasting and Social Change, Elsevier, vol. 108(C), pages 70-82.
    15. Favaro, Donata & Ninka, Eniel & Turvani, Margherita, 2012. "Productivity in innovation: the role of inventor connections and mobility," MPRA Paper 38950, University Library of Munich, Germany.
    16. Yutao Sun & Kai Liu, 2016. "Proximity effect, preferential attachment and path dependence in inter-regional network: a case of China’s technology transaction," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 201-220, July.
    17. Marrocu, Emanuela & Paci, Raffaele & Usai, Stefano, 2013. "Proximity, networking and knowledge production in Europe: What lessons for innovation policy?," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1484-1498.

    More about this item

    Keywords

    Patents; network analysis; spatial econometrics; relational data; regional innovation system; Italy;

    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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