An econometric approach to identify determinants of cooperation for innovation among firms

References

• Axelrod , R. 2003 . Advancing the art of simulation in the social sciences . Japanese Journal for Management Information System , 12 : 1 – 19 . Special Issue on Agent-Based Modeling
   Google Scholar
• Bayona , C. , Garcia-Marco , T. and Huerta , E. 2001 . Firms' motivations for cooperative R&D: an empirical analysis of Spanish firms . Research Policy , 30 : 1289 – 307 .
   Web of Science ®Google Scholar
• Belderbos , R. , Carree , M. , Diederen , B. , Lokshin , B. and Veugelers , R. 2004a . Heterogeneity in R&D cooperation strategies . International Journal of Industrial Organization , 22 : 1237 – 64 .
   Web of Science ®Google Scholar
• Belderbos , R. , Carree , M. and Lokshin , B. 2004b . Cooperative R&D and firm performance . Research Policy , 33 : 1477 – 92 .
   Web of Science ®Google Scholar
• Cassiman , B. and Veugelers , R. 2002 . R&D cooperation and spillovers: some empirical evidence from Belgium . American Economic Review , 92 : 1169 – 84 .
   Web of Science ®Google Scholar
• Child , J. , Faulkner , D. and Tallman , S. 2005 . Strategies of Cooperation: Managing Alliances, Networks and Joint Ventures , Oxford : Oxford University Press .
   Google Scholar
• Cohen , W. and Levinthal , D. 1990 . Absorptive capacity: a new perspective on learning and innovation . Administrative Science Quarterly , 35 : 128 – 52 . Special Issue: Technology, Organizations, and Innovation
   Web of Science ®Google Scholar
• Conte , A. 2009 . Mapping innovative activity using microdata . Applied Economics Letters , 16 : 1795 – 9 .
   Web of Science ®Google Scholar
• Czarnitzky , D. and Fier , A. 2003 . Publicly funded R&D collaborations and patent outcome in Germany, ZEW Discussion Paper No. 03–24 , Mannheim, , Germany : Center for European Economic Research .
   Google Scholar
• Dachs , B. , Ebersberger , B. and Pyka , A. 2008 . Why do firms co-operate for innovation? A comparison of Austrian and Finnish CIS 3 results . International Journal of Foresight and Innovation Policy , 4 : 200 – 29 .
   Google Scholar
• D'Aspremont , C. and Jacquemin , A. 1988 . Cooperative and noncooperative R&D in duopoly with spillovers . The American Economic Review , 78 : 1133 – 7 .
   Web of Science ®Google Scholar
• Doo , M. and Sohn , S. Productivity improvement of manufacturing SMEs via technology innovation in Korea . 7th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED’08) . UK. 20–22 February . University of Cambridge .
   Google Scholar
• Eum , M. , Choi , J. and Lee , J. 2005 . Report on the Korean Innovation Survey 2005: manufacturing sector , 575 – 607 . Korea : Science & Technology Policy Institute . December (in Korean and English), 2005-5
   Google Scholar
• Freeman , C. 1987 . Technology Policy and Economic Performance: Lessons From Japan , London : Pinter Publisher .
   Google Scholar
• Geweke , J. , Keane , M. and Runkle , D. 1997 . Statistical inference in the multinomial multiperiod probit model . Journal of Econometrics , 80 : 125 – 65 .
   Web of Science ®Google Scholar
• Greene , W. 2003 . Econometric Analysis , 5th , Upper Saddle River, NJ : Prentice-Hall .
   Google Scholar
• Gutierrez, R. and Drukker, D. (2003) Citing references for Stata's cluster-correlated robust variance estimates, StataCorp. February 2003; updated May 2005; revised August 2007. http://www.stata.com/support /faqs/stat/robust_ref.html (http://www.stata.com/support /faqs/stat/robust_ref.html) (Accessed: 25 October 2009 ).
   Google Scholar
• Hagedoorn , J. , Link , A. and Vonortas , N. 2000 . Research partnerships . Research Policy , 29 : 567 – 86 .
   Web of Science ®Google Scholar
• Heshmati , A. , Kim , Y. and Kim , H. 2006 . The effects of innovation on performance of Korean firms, Ratio Working Papers No. 90 , Sweden : The Ratio Institute .
   Google Scholar
• Huber , P. 1967 . “ The behavior of maximum likelihood estimates under nonstandard conditions ” . In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability , Vol. 1 , 221 – 3 . Berkeley, CA : University of California Press .
   Google Scholar
• Izushi , H. 1998 . Can a development agency foster co-operation among local firms? The case of the Welsh Development Agency's Supplier Association Programme . Regional Studies , 33 : 739 – 50 .
   Web of Science ®Google Scholar
• Katz , M. , Ordover , J. , Fisher , F. and Schmalensee , R. 1990 . R&D cooperation and competition . Brookings Papers on Economic Activity: Microeconomics , 1990 : 137 – 203 .
   Google Scholar
• Mark , M. and Graversen , E. 2004 . Determinants of Danish firms’ choice of R&D-cooperation partners, Working Paper No. 2004/6, The Danish Centre for Studies in Research and Research Policy , Denmark : University of Aarhus .
   Google Scholar
• Miotti , L. and Sachwald , F. 2003 . Co-operative R&D: Why and with whom? An integrated framework of analysis . Research Policy , 32 : 1481 – 500 .
   Web of Science ®Google Scholar
• Powell , W. , Koput , K. , Smith-Doerr , L. and Owen-Smith , J. 1999 . Network position and firm performance – organizational returns to collaboration in the biotechnology industry . Research in the Sociology of Organizations , 16 : 129 – 59 .
   Google Scholar
• Rouvinen , P. 2002 . Characteristics of product and process innovators: some evidence from the Finnish innovation survey . Applied Economics Letters , 9 : 575 – 80 .
   Web of Science ®Google Scholar
• Sakakibara , M. 2001 . Cooperative research and development: who participates and in which industries do projects take place? . Research Policy , 30 : 993 – 1018 .
   Web of Science ®Google Scholar
• Sivadas , E. and Dwyer , F. R. 2000 . An examination of organizational factors influencing new product success in internal and alliance-based processes . Journal of Marketing , 64 : 31 – 49 .
   Web of Science ®Google Scholar
• Sung , T. and Carlsson , B. 2007 . Network effects, technological opportunity, and innovation: evidence from the Korean manufacturing firms . Asian Journal of Technology Innovation , 15 : 91 – 108 .
   Google Scholar
• Tesfatsion , L. 2001 . Introduction to the special issue on agent-based computational economics . Journal of Economic Dynamics and Control , 25 : 281 – 93 .
   Web of Science ®Google Scholar
• White , H. 1980 . A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity . Econometrica , 48 : 817 – 30 .
   Web of Science ®Google Scholar
• Wognum , P. , Fischer , O. and Weenink , S. 2002 . Balanced relationships: management of client–supplier relationships in product development . Technovation , 22 : 341 – 51 .
   Web of Science ®Google Scholar
• Zhang , J. 2003 . Growing Silicon Valley on a landscape: an agent-based approach to high-tech industrial clusters . Journal of Evolutionary Economics , 13 : 529 – 48 .
   Web of Science ®Google Scholar