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Social and technological efficiency of patent systems

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  • Thomas Vallée
  • Murat YıLdızoğlu

Abstract

This article develops an evolutionary model of industry dynamics in order to carry out a richer theoretical analysis of the consequences of a stronger patent system. The first results obtained in our article are rather consistent with the anti-patent arguments and do not favor the case for a stronger patent system: higher social welfare and technical progress are observed in our model in industries with milder patent systems (lower patent height and patent life).
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Suggested Citation

  • Thomas Vallée & Murat YıLdızoğlu, 2006. "Social and technological efficiency of patent systems," Journal of Evolutionary Economics, Springer, vol. 16(1), pages 189-206, April.
    • Handle: RePEc:spr:joevec:v:16:y:2006:i:1:p:189-206
    DOI: 10.1007/s00191-005-0004-2
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    References listed on IDEAS

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    1. Nancy Gallini & Suzanne Scotchmer, 2002. "Intellectual Property: When Is It the Best Incentive System?," NBER Chapters, in: Innovation Policy and the Economy, Volume 2, pages 51-78, National Bureau of Economic Research, Inc.
    2. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    3. Wesley M. Cohen & Richard R. Nelson & John P. Walsh, 2000. "Protecting Their Intellectual Assets: Appropriability Conditions and Why U.S. Manufacturing Firms Patent (or Not)," NBER Working Papers 7552, National Bureau of Economic Research, Inc.
    4. Mazzoleni, Roberto & Nelson, Richard R., 1998. "The benefits and costs of strong patent protection: a contribution to the current debate," Research Policy, Elsevier, vol. 27(3), pages 273-284, July.
    5. Edwin Mansfield, 1986. "Patents and Innovation: An Empirical Study," Management Science, INFORMS, vol. 32(2), pages 173-181, February.
    6. Gerald Silverberg & Murat Yildizoglu, 2002. "An evolutionary interpretation of the Aghion & Howitt (1992) Model," Computing in Economics and Finance 2002 207, Society for Computational Economics.
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    Citations

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    Cited by:

    1. Cevikarslan, Salih, 2013. "Optimal patent length and patent breadth in an R&D driven market with evolving consumer preferences: An evolutionary multi-agent based modelling approach," MERIT Working Papers 2013-020, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Murat YILDIZOGLU (E3i-IFReDE-GRES), 2006. "Reinforcing the patent system? Patent fencing, knowledge diffusion and welfare," Cahiers du GRES (2002-2009) 2006-23, Groupement de Recherches Economiques et Sociales.
    3. Murat YILDIZOGLU, 2009. "Evolutionary approaches of economic dynamics (In French)," Cahiers du GREThA (2007-2019) 2009-16, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    4. Malerba, Franco & Nelson, Richard & Orsenigo, Luigi & Winter, Sidney, 2008. "Public policies and changing boundaries of firms in a "history-friendly" model of the co-evolution of the computer and semiconductor industries," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 355-380, August.

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    More about this item

    Keywords

    Innovation; Technical progress; Patent system; Intellectual property rights (IPR); Technology policy; O3; O34; L52;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods

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