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What kinds of R&D consortia enhance SMEs productivity? A hierarchical Bayesian approach for the analysis of a regional innovation policy

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  • Annalisa Caloffi
  • Marco Mariani
  • Alessandra Mattei
  • Fabrizia Mealli

Abstract

Regional innovation policies often encourage the formation of R&D consortia between co‐localised small‐ and medium‐ sized firms (SMEs) and large companies, universities or other agents. We investigate the benefits in terms of labour productivity arising for SMEs from alternative configurations of such consortia. We focus on an Italian regional policy. Using a hierarchical Bayesian approach for inference, we find that consortia work better when they are vertical rather than horizontal, and when they match SMEs to large firms. On the contrary, neither the presence of a university nor that of an innovation intermediary is always associated with higher firms' productivity. Las políticas regionales de innovación a menudo fomentan la formación de consorcios de I+D entre pequeñas y medianas empresas (PYME) colocalizadas y grandes empresas, universidades u otros agentes. Se investigan los beneficios, en términos de productividad laboral, que se derivan para las PYME de las configuraciones alternativas de dichos consorcios. El estudio se centra en una política regional italiana. Mediante el uso de un enfoque bayesiano jerárquico para la inferencia, se encontró que los consorcios funcionan mejor cuando son verticales en lugar de horizontales, y cuando hacen coincidir a las PYME con las grandes empresas. Por el contrario, ni la presencia de una universidad ni la de un intermediario de innovación están siempre asociadas a una mayor productividad de las empresas. 地域のイノベーション政策は、地域共生型の中小企業 (SME:small‐ and mediumsized firm)と、大企業や大学、その他の機関との研究開発コンソーシアムの形成を推奨するものが多い。本稿では、あるイタリアの地域政策に注目し、SMEの労働生産性にみられる、このようなコンソーシアムの新たな形態によるベネフィットを検討する。階層的ベイズ理論による推論から、コンソーシアムは、水平的ではなく垂直的である場合、さらにコンソーシアムによりSMEが大企業と同等になる場合に、より効果的であることがわかる。一方、大学やイノベーションの仲介者の存在は、必ずしも企業の高い生産性に関連するとは限らない。

Suggested Citation

  • Annalisa Caloffi & Marco Mariani & Alessandra Mattei & Fabrizia Mealli, 2020. "What kinds of R&D consortia enhance SMEs productivity? A hierarchical Bayesian approach for the analysis of a regional innovation policy," Papers in Regional Science, Wiley Blackwell, vol. 99(1), pages 25-53, February.
  • Handle: RePEc:bla:presci:v:99:y:2020:i:1:p:25-53
    DOI: 10.1111/pirs.12476
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    Cited by:

    1. Enrique Acebo & José-Ángel Miguel-Dávila & Mariano Nieto, 2021. "The Impact of University–Industry Relationships on Firms’ Performance: A Meta-Regression Analysis," Science and Public Policy, Oxford University Press, vol. 48(2), pages 276-293.

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