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Persistence of cooperation on innovation: Econometric evidence from panel micro data

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  • Srholec , Martin

    (CERGE-EI, Prague and CIRCLE, Lund University)

Abstract

Arrangements to cooperate on innovation facilitate access to external sources of knowledge. Using panel data derived from five waves of Community Innovation Survey in the Czech Republic, we examine whether firms engage in these arrangements persistently or rather revert to other behaviour. Econometric estimates of dynamic random effects and multivariate probit models provide strong support to the thesis of persistence, particularly of linkages with the university sector and suppliers. The results are robust to the initial conditions problem and serial correlation in idiosyncratic errors. Government programs initiating cooperation on innovation therefore have the potential to induce durable changes in the innovative behaviour of firms.

Suggested Citation

  • Srholec , Martin, 2014. "Persistence of cooperation on innovation: Econometric evidence from panel micro data," Papers in Innovation Studies 2014/18, Lund University, CIRCLE - Centre for Innovation Research.
    • Handle: RePEc:hhs:lucirc:2014_018
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    Cited by:

    1. Vitaliy Roud & Valeriya Vlasova, 2020. "Strategies of industry-science cooperation in the Russian manufacturing sector," The Journal of Technology Transfer, Springer, vol. 45(3), pages 870-907, June.
    2. Roud Vitaliy & Valeriya Vlasova, 2017. "Cooperating with Universities and R&D Organizations: Mainstream Practice or Peculiarity?," HSE Working papers WP BRP 75/STI/2017, National Research University Higher School of Economics.
    3. Soriano, Franklin A. & Villano, Renato A. & Fleming, Euan M. & Battese, George E., 2018. "What’s driving innovation in small businesses in Australia? The case of the food industry," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(1), October.

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    More about this item

    Keywords

    Innovation; cooperation; persistence; panel data; Community Innovation Survey; Czech Republic;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
    • 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

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