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Endogeneous Matching in University-Industry Collaboration: Theory and Empirical Evidence from the UK

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Listed:
  • Albert Banal-Estañol
  • Ines Macho-Stadler
  • David Pérez-Castrillo

Abstract

We develop a two-sided matching model to analyze collaboration between heterogeneous academics and firms. We predict a positive assortative matching in terms of both scientific ability and affinity for type of research, but negative assortative in terms of ability on one side and affinity in the other. In addition, the most able and most applied academics and the most able and most basic firms shall collaborate rather than stay independent. Our predictions receive strong support from the analysis of the teams of academics and firms that propose research projects to the UK’s Engineering and Physical Sciences Research Council.

Suggested Citation

  • Albert Banal-Estañol & Ines Macho-Stadler & David Pérez-Castrillo, 2013. "Endogeneous Matching in University-Industry Collaboration: Theory and Empirical Evidence from the UK," CESifo Working Paper Series 4340, CESifo.
  • Handle: RePEc:ces:ceswps:_4340
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    References listed on IDEAS

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    Cited by:

    1. Banal-Estañol, Albert & Jofre-Bonet, Mireia & Lawson, Cornelia, 2015. "The double-edged sword of industry collaboration: Evidence from engineering academics in the UK," Research Policy, Elsevier, vol. 44(6), pages 1160-1175.
    2. TSUKADA Naotoshi & NAGAOKA Sadao, 2015. "Combining Knowledge and Capabilities across Borders and Nationalities: Evidence from the inventions applied through PCT," Discussion papers 15113, Research Institute of Economy, Trade and Industry (RIETI).

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    More about this item

    Keywords

    matching; industry-science links; research collaborations; basic versus applied research; complementarity;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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