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Determinants of Firms Cooperation in Innovation

Author

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  • Flavio Lenz-Cesar
  • Almas Heshmati

    (Technology Management, Economics and Policy Program(TEMEP), Seoul National University)

Abstract

R&D cooperation has received great attention among industrialists, decision makers and researchers as it facilitates research collaboration, information sharing, reduced R&D cost, and affects R&D resource allocation, advancement and competitiveness of the national industry, employment and survival of firms. This paper introduces an econometric approach for identifying the factors that lead firms to cooperative innovation. The determinants of firms cooperation in innovation were defined according to empirical findings on a dataset from the internationally standardized Korean Innovation Survey 2005, captured in a multivariate probit regression model. The model identified the determinants on firms¡¯ likelihood to participate in cooperation with other organizations when conducting innovation activities. The aim of this model was to subsidize further research applying agent-based modeling to simulate innovation networks in the Korean manufacturing sector in order to test different policy strategies on fostering cooperation in innovation.

Suggested Citation

  • Flavio Lenz-Cesar & Almas Heshmati, 2009. "Determinants of Firms Cooperation in Innovation," TEMEP Discussion Papers 200927, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
    • Handle: RePEc:snv:dp2009:200927
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    References listed on IDEAS

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    Cited by:

    1. Stoetzer, Matthias-Wolfgang & Pfeil, Silko & Kaps, Katharina & Sauer, Thomas, 2011. "Regional dispersion of cooperation activities as success factor of innovation oriented SME," Jena Contributions to Economic Research 2011,4, Ernst-Abbe-Hochschule Jena – University of Applied Sciences, Department of Business Administration.
    2. Flavio Lenz-Cesar & Almas Heshmati, 2010. "Agent-based Simulation of Cooperative Innovation," TEMEP Discussion Papers 201052, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.

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    More about this item

    Keywords

    Collaborative R&D; multivariate probit models; Korean innovation survey;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • D20 - Microeconomics - - Production and Organizations - - - General
    • 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

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