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Heterogeneity in R&D Cooperation: An Empirical Investigation

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Abstract

This work explores the roles of potential simultaneity and heterogeneity in determining firms decisions to engage in R&D collaboration, using a sample of Italian manufacturing firms. Partnerships with other firms, research institutions, universities and other small centres are considered jointly by applying a multivariate probit specification. This allows for systematic correlations among different cooperation choices. The results support the hypothesis that the four cooperation decisions are interdependent. The decision to cooperate in R&D differs significantly depending on the cooperation options. Public support, the researcher intensity and the size are all of importance in determining R&D alliance strategies.

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  • OA Carboni, 2010. "Heterogeneity in R&D Cooperation: An Empirical Investigation," Working Paper CRENoS 201029, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    • Handle: RePEc:cns:cnscwp:201029
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    1. Borsch-Supan, Axel & Hajivassiliou, Vassilis A., 1993. "Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models," Journal of Econometrics, Elsevier, vol. 58(3), pages 347-368, August.
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    4. Busom, Isabel & Fernández-Ribas, Andrea, 2008. "The impact of firm participation in R&D programmes on R&D partnerships," Research Policy, Elsevier, vol. 37(2), pages 240-257, March.
    5. Luigi Guiso & Luigi Pistaferri & Fabiano Schivardi, 2013. "Credit within the Firm," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(1), pages 211-247.
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    1. Carboni, Oliviero A., 2012. "An empirical investigation of the determinants of R&D cooperation: An application of the inverse hyperbolic sine transformation," Research in Economics, Elsevier, vol. 66(2), pages 131-141.
    2. Erika Badillo & Rosina Moreno, 2012. "“What Drives the Choice of Partners in R&D Cooperation? Heterogeneity across Sectors”," AQR Working Papers 201206, University of Barcelona, Regional Quantitative Analysis Group, revised Jul 2012.
    3. Ipsita Roy, 2015. "Role of Human Resource Practices in Absorptive Capacity and R&D Cooperation," Jena Economics Research Papers 2015-018, Friedrich-Schiller-University Jena.
    4. Adelheid Holl & Ruth Rama, 2014. "Foreign Subsidiaries and Technology Sourcing in Spain," Industry and Innovation, Taylor & Francis Journals, vol. 21(1), pages 43-64, January.

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    Keywords

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    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory

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