How long-term university-industry collaboration shapes the academic productivity of research groups

References

• Abramo, G., D’Angelo, C. A., Di Costa, F., & Solazzi, M. (2009). University-industry collaboration in Italy: A bibliometric examination. Technovation, 29(6–7), 498–507.
   Web of Science ®Google Scholar
• Agrawal, A., & Henderson, R. (2002). Putting patents in context: Exploring knowledge transfer from MIT. Management Science, 48(1), 44–60.
   Web of Science ®Google Scholar
• Albuquerque, E. M. (2007). Inadequacy of technology and innovation systems at the periphery. Cambridge Journal of Economics, 31(5), 669–690.
   Web of Science ®Google Scholar
• Albuquerque, E. M., Suzigan, W., Kruss, G., & Lee, K. (2015). Developing national systems of innovation: University-industry interactions in the global south. Cheltenham, UK: Edward Elgar Publishing.
   Google Scholar
• Arza, V. (2010). Channels, benefits and risks of public–Private interactions for knowledge transfer: Conceptual framework inspired by Latin America. Science and Public Policy, 37(7), 473–484.
   Web of Science ®Google Scholar
• Banal-Estañol, A., Jofre-Bonet, M., & Lawson, C. (2015). The double-edged sword of industry collaboration: Evidence from engineering academics in the UK. Research Policy, 44(6), 1160–1175.
   Web of Science ®Google Scholar
• Banal-Estañol, A., Macho-Stadler, I., & Pérez-Castrillo, D. (2013). Research output from university-industry collaborative projects. Economic Development Quarterly, 27(1), 71–81.
   Web of Science ®Google Scholar
• Barletta, F., Yoguel, G., Pereira, M., & Rodríguez, S. (2017). Exploring scientific productivity and transfer activities: Evidence from Argentinean ICT research groups. Research Policy, 46(8), 1361–1369.
   Web of Science ®Google Scholar
• Blumenthal, D., Causino, N., Campbell, E., & Louis, K. S. (1996). Relationships between academic institutions and industry in the life sciences–An industry survey. The New England Journal of Medicine, 334(6), 368–373.
   PubMed Web of Science ®Google Scholar
• Blundell, R., & Dias, M. C. (2000). Evaluation methods for non-experimental data. Fiscal Studies, 21(4), 427–468.
   Google Scholar
• Bonaccorsi, A., Daraio, C., & Simar, L. (2006). Advanced indicators of productivity of universitiesAn application of robust nonparametric methods to Italian data. Scientometrics, 66(2), 389–410.
   Web of Science ®Google Scholar
• Bonaccorsi, A., & Piccaluga, A. (1994). A theoretical framework for the evaluation of university-industry relationships. R&D Management, 24(3), 229–247.
   Web of Science ®Google Scholar
• Bozeman, B., Fay, D., & Slade, C. P. (2013). Research collaboration in universities and academic entrepreneurship: The-state-of-the-art. The Journal of Technology Transfer, 38(1), 1–67.
   Web of Science ®Google Scholar
• Breschi, S., Lissoni, F., & Montobbio, F. (2008). University patenting and scientific productivity: A quantitative study of Italian academic inventors. European Management Review, 5(2), 91–109.
   Web of Science ®Google Scholar
• Bruneel, J., D’Este, P., & Salter, A. (2010). Investigating the factors that diminish the barriers to university-industry collaboration. Research Policy, 39(7), 858–868.
   Web of Science ®Google Scholar
• Cantner, U., Hinzmann, S., & Wolf, T. (2017). The coevolution of innovative ties, proximity, and competencies: Toward a dynamic approach to innovation cooperation. In J. Glückler, E. Lazega, & I. Hammer (Eds.), Knowledge and networks. Knowledge and space (pp. 337–372). Cham: Springer. doi:10.1007/978-3-319-45023-0_16
   Google Scholar
• Card, D., & Krueger, A. (1994). Minimum wages and employment: A case study of the fast food industry in New Jersey and Pennsylvania. American Economic Review, 84(4), 772–793.
   Web of Science ®Google Scholar
• Chaves, C. V., Rapini, M. S., Suzigan, W., Fernandes, A. C. A., Domingues, E., & Carvalho, S. S. M. (2016). The contribution of universities and research institutes to Brazilian innovation system. Innovation and Development, 6(1), 31–50.
   Google Scholar
• Cohen, W. M., Nelson, R. R., & Walsh, J. P. (2002). Links and impacts: The influence of public research on industrial R&D. Management Science, 48(1), 1–23.
   Web of Science ®Google Scholar
• De Fuentes, C., & Dutrénit, G. (2012). Best channels of academia-industry interaction for long-term benefit. Research Policy, 41(9), 1666–1682.
   Web of Science ®Google Scholar
• Dehejia, R. H., & Wahba, S. (2002). Propensity score-matching methods for nonexperimental causal studies. Review of Economics and Statistics, 84(1), 151–161.
   Web of Science ®Google Scholar
• Dutrénit, G., De Fuentes, C., & Torres, A. (2010). Channels of interaction between public research organisations and industry and their benefits: Evidence from Mexico. Science and Public Policy, 37(7), 513–526.
   Web of Science ®Google Scholar
• Fernández-López, S., Calvo, N., & Rodeiro-Pazos, D. (2018). The funnel model of firms’ R&D cooperation with universities. Science and Public Policy, scy036. doi:10.1093/scipol/scy036
   Web of Science ®Google Scholar
• Fischer, B. B., Schaeffer, P. R., Vonortas, N. S., & Queiroz, S. (2018). Quality comes first: University-industry collaboration as a source of academic entrepreneurship in a developing country. Journal of Technology Transfer, 43(2), 263–284.
   Web of Science ®Google Scholar
• Garcia, R., Araújo, V., Mascarini, S., Santos, E. G., & Costa, A. R. (2018). How the benefits, results and barriers of collaboration affect university engagement with industry. Science and Public Policy, scy062. doi:10.1093/scipol/scy062
   Web of Science ®Google Scholar
• Heckman, J. J., Ichimura, H., & Todd, P. (1998). Matching as an economic evaluation estimator. Review of Economic Studies, 65(2), 261–294.
   Web of Science ®Google Scholar
• Hottenrott, H., & Thorwarth, S. (2011). Industry funding of university research and scientific productivity. Kyklos, 64(4), 534–555.
   Web of Science ®Google Scholar
• Landry, R., Traore, N., & Godin, B. (1996). An econometric analysis of the effect of collaboration on academic research productivity. Higher Education, 32(3), 283–301.
   Web of Science ®Google Scholar
• Larsson, R., Bengtsson, L., Henriksson, K., & Sparks, J. (1998). The interorganizational learning dilemma: Collective knowledge development in strategic alliances. Organization Science, 9(3), 285–305.
   Web of Science ®Google Scholar
• Lee, S., & Bozeman, B. (2005). The impact of research collaboration on scientific productivity. Social Studies of Science, 35(5), 673–702.
   Web of Science ®Google Scholar
• Manjarrés-Henríquez, L., Gutiérrez-Gracia, A., Carrión-García, A., & Vega-Jurado, J. (2009). The effects of university-industry relationships and academic research on scientific performance: Synergy or substitution? Research in Higher Education, 50(8), 795–811.
   Web of Science ®Google Scholar
• Manjarrés-Henríquez, L., Gutiérrez-Gracia, A., & Vega-Jurado, J. (2008). Coexistence of university-industry relations and academic research: Barrier to or incentive for scientific productivity. Scientometrics, 76(3), 561–576.
   Web of Science ®Google Scholar
• Mascarenhas, C., Ferreira, J. J., & Marques, C. (2018). University–Industry cooperation: A systematic literature review and research agenda. Science and Public Policy, 45(5), 708–718.
   Web of Science ®Google Scholar
• Merton, R. K. (1973). The sociology of science: Theoretical and empirical investigations. Chicago: The University of Chicago Press.
   Google Scholar
• Moraes-Silva, D. R., Furtado, A. T., & Vonortas, N. S. (2018). University-industry R&D cooperation in Brazil: A sectoral approach. The Journal of Technology Transfer, 43(2), 285–315.
   Web of Science ®Google Scholar
• Motoyama, Y. (2014). Long-term collaboration between university and industry: Acase study of nanotechnology development in Japan. Technology in Society, 36(1), 39–51.
   Google Scholar
• Mowery, D. C., & Sampat, B. N. (2009). Universities in national innovation systems. In J. Fagerberg & D. D. Mowery (Eds.), The Oxford handbook of innovation (pp. 209–239). Oxford Handbooks Online. doi:10.1093/oxfordhb/9780199286805.003.0008
   Google Scholar
• Partha, D., & David, P. A. (1994). Toward a new economics of science. Research Policy, 23(5), 487–521.
   Web of Science ®Google Scholar
• Perkmann, M., Tartari, V., McKelvey, M., Autio, E., Brostrom, A., D’Este, P., … Sobrero, M. (2013). Academic engagement and commercialisation: A review of the literature on university-industry relations. Research Policy, 42(2), 423–442.
   Web of Science ®Google Scholar
• Perkmann, M., & Walsh, K. (2009). The two faces of collaboration: Impacts of university-industry relations on public research. Industrial and Corporate Change, 18(6), 1033–1065.
   Web of Science ®Google Scholar
• Ranga, L. M., Debackere, K., & Von Tunzelmann, N. (2003). Entrepreneurial universities and the dynamics of knowledge production: A case study of basic vs. applied research in Belgium. Scientometrics, 58(2), 301–320.
   Web of Science ®Google Scholar
• Ranga, M., Temel, S., Ar, I. M., Yesilay, R. B., & Sukan, F. V. (2016). Building technology transfer capacity in Turkish universities: A critical analysis. European Journal of Education, 51(1), 90–106.
   Web of Science ®Google Scholar
• Rivera-Huerta, R., Dutrénit, G., Ekboir, J. M., Sampedro, J. L., & Vera-Cruz, A. O. (2011). Do linkages between farmers and academic researchers influence researcher productivity? the Mexican case. Research Policy, 40(7), 932–942.
   Web of Science ®Google Scholar
• Rubin, D. B. (1980). Bias reduction using mahalanobis-metric matching. Biometrics, 36(2), 293–298.
   Web of Science ®Google Scholar
• Smith, J. A., & Todd, P. E. (2005). Does matching overcome LaLonde’s critique of nonexperimental estimators? Journal of Econometrics, 125(1–2), 305–353.
   Web of Science ®Google Scholar
• Suzigan, W., Albuquerque, E., Garcia, R., & Rapini, M. (2009). University and industry linkages in Brazil: Some preliminary and descriptive results. Seoul Journal of Economics, 22(4), 591–611. Retrieved from http://hdl.handle.net/10371/67717
   Google Scholar
• Tartari, V., & Breschi, S. (2012). Set them free: Scientists’ evaluations of the benefits and costs of university-industry research collaboration. Industrial and Corporate Change, 21(5), 1117–1147.
   Web of Science ®Google Scholar
• Tartari, V., Salter, A., & D’Este, P. (2012). Crossing the rubicon: Exploring the factors that shape academics’ perceptions of the barriers to working with industry. Cambridge Journal of Economics, 36(3), 655–677.
   Web of Science ®Google Scholar
• Van Looy, B., Landoni, P., Callaert, J., Van Pottelsberghe, B., Sapsalis, E., & Debackere, K. (2011). Entrepreneurial effectiveness of European universities: An empirical assessment of antecedents and trade-offs. Research Policy, 40(4), 553–564.
   Web of Science ®Google Scholar
• Van Looy, B., Ranga, M., Callaert, J., Debackere, K., & Zimmermann, E. (2004). Combining entrepreneurial and scientific performance in academia: Towards a compounded and reciprocal Matthew-effect? Research Policy, 33(3), 425–441.
   Web of Science ®Google Scholar
• Villa, J. M. (2016). diff: Simplifying the estimation of difference-in-differences treatment effects. Stata Journal, 16(1), 52–71.
   Web of Science ®Google Scholar
• Zhou, W., Li, Y., Hsieh, C. J., Chang, K. C., Kiang, Y. J., & Ken, Y. (2016). Research performance and university–industry–government funding sources in Taiwan’s technological and vocational universities. Innovation: Management, Policy and Practice, 18(3), 340–351.
   Google Scholar