Skip to main content
Log in

The Regional Effect on the Innovative Performance of University Spin-Offs: a Multilevel Approach

  • Published:
Journal of the Knowledge Economy Aims and scope Submit manuscript

Abstract

Creation of university spin-offs has become one of the most supported ways for the university to accomplish the objective of knowledge transfer to the society. Since university spin-offs (USOs) are firms created to commercialize knowledge or technology developed by academic research, a key source of the potential contribution of USOs to knowledge economy lies in their innovation ability. External factors, like knowledge spillovers, might influence USOs’ innovation. This study tests the hypothesis that the regional context may partly determine the innovative performance of USOs. By applying an “interactionist approach,” we estimate a two-level logistic random intercept model for a sample of 167 USOs located in ten Spanish regions. Our results confirmed that firm-specific characteristics are important for explaining the innovative performance of USOs but show that regional context matters too.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Notes

  1. As it is mentioned in the literature review section, there are other studies that analyze this issue but from a descriptive approach.

  2. We discarded 98 USOs created over the period 2006–2010 and 194 USOs that leaved SABI database over the same period.

  3. The number of groups required for multilevel analysis is >10, and the number of data observations required in each group >2 (Snijders and Bosker 1999).

  4. These regions were removed because they had two or less USOs. We did not include the following: Aragón, Baleares, Cantabria, Castilla-León, Castilla la Mancha, and Extremadura.

  5. Eurostat uses the aggregation of the manufacturing industry according to technological intensity and based on NACE Rev.2 at two-digit level.

  6. The LR test rejects the null hypothesis that σ 2 u  = 0 for all the models estimated.

  7. We also estimate Model 3 by replacing LN_NIF variable with the percentage of R&D workers in region and the percentage of adult population (+16) with higher education. Although these alternatives specifications did not substantially alter the results, the tests showed a worse fit.

References

  • Acs, Z., Braunerhjelm, P., Audretsch, D., & Carlsson, B. (2009). The knowledge spillover theory of entrepreneurship. Small Business Economics, 32, 15–30.

    Article  Google Scholar 

  • Arrow, K. J. (1962). The economic implications of learning by doing. The Review of Economic Studies, 29(3), 155–173.

    Article  Google Scholar 

  • Audretsch, D. B. (2003). Innovation and spatial externalities. International Regional Science Review, 26(2), 167–174.

    Article  Google Scholar 

  • Audretsch, D., & Dohse, D. (2007). Location: a neglected determinant of firm growth. Review of World Economics, 143, 79–107.

    Article  Google Scholar 

  • Audretsch, D., & Feldman, M. (2004). Knowledge spillovers and the geography of innovation. In J. V. Henderson, & J.-F. Thisse (Eds.), Handbook of Urban and Regional Economics, vol. 4 (pp. 2713–2739). Amsterdam: North-Holland.

  • Audretsch, D., & Mahmood, T. (1995). New-firm survival: new results using a hazard function. Review of Economics and Statistics, 77, 97–103.

    Article  Google Scholar 

  • Bathelt, H. (2006). Geographies of production: growth regimes in spatial perspective 3—toward a relational view of economic action and policy. Progress in Human Geography, 30, 223–236.

    Article  Google Scholar 

  • Batsakis, G. (2012). R&D subsidiaries’ innovative performance “revisited”: a multilevel approach, DRUID Conference. Copenhagen, Denmark: CBS.

    Google Scholar 

  • Bellmann, L., Crimmann, A., Evers, K., & Hujer, R. (2013). Regional determinants of establishments’ innovation activities: a multi-level approach, No 7572, IZA Discussion Papers. Institute for the Study of Labor (IZA).

  • Beugelsdijk, S. (2007a). The regional environment and a firm’s innovative performance: a plea for a multilevel interactionist approach. Economic Geography, 83(2), 181–199.

    Article  Google Scholar 

  • Beugelsdijk, S. (2007b). The regional environment and a firm’s innovative performance. A plea for a multilevel interactionist approach. Economic Geography, 83(2), 181–199.

    Article  Google Scholar 

  • Callan, B. (2001). Generating spin-offs: evidence from the OECD. Science Technology Industry Review, 26(1), 13–56.

    Google Scholar 

  • Cantner, U., & Goethner, M. (2011). Performance differences between academic spin-offs and non-academic star-ups: a comparative analysis using a non-parametric matching approach, Dissertation. DIME Final Conference, Maastricht

  • Cohen, W. M., & Levin, R. C. (1989). Empirical studies of innovation and market structure. In R. Schmalensee & R. D. Willig (Eds.), Handbook of industrial organization (pp. 1060–107). Amsterdam: Elsevier Science Publishers.

    Google Scholar 

  • Cohen, W., & Levinthal, D. (1990). Absorptive capacity: a new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152.

    Article  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, 1–23.

    Article  Google Scholar 

  • Colombo, M., & Grilli, L. (2010). On growth drivers of high-tech start-ups: exploring the role of founders’ human capital and venture capital. Journal of Business Venturing, 25(6), 610–626.

    Article  Google Scholar 

  • Colombo, M., & Piva, E. (2005). Are academic start-ups different? A matched pair analysis. IRIS Working Paper.

  • Corsi, C., & Prencipe, A. (2015). University and local context-level success factors of academic spin-off performance. Journal of Management and Marketing, 3(1), 12–26.

    Google Scholar 

  • Criaco, G., Serarols, C., Minola, T., & Bhatiya, A. (2014). Companies spun out of universities: different typologies for different performance patterns. In F. Therin (Ed.), Handbook of research in techno-entrepreneurship, second edition (pp. 235–261). Cheltenham, UK: Edward Elgard.

  • Decarolis, D. M., & Deeds, D. L. (1999). The impact of stocks and flows of organizational knowledge on firm performance: an empirical investigation of the biotechnology industry. Strategic Management Journal, 20, 953–968.

    Article  Google Scholar 

  • Degroof, J., & Roberts, E. (2004). Overcoming weak entrepreneurial infrastructures for academic spin-off ventures. Journal of Technology Transfer, 29(3–4), 327–352.

    Article  Google Scholar 

  • Farinha, L., & Ferreira, J. (2012). Triangulation of the triple helix: a conceptual framework for regional competitiveness focused on innovation and local entrepreneurship. In Emerging Triple Helix Models for Developing Countries (Ed.), Triple Helix 10th International Conference 2012 (pp. 487–501). Bandung, Indonesia: Penerbit ITB.

    Google Scholar 

  • Farinha, L., Ferreira, J., & Gouveia, B. (2014). Networks of innovation and competitiveness: a triple helix case study. Journal of the Knowledge Economy, DOI 10.1007/s13132-014-0218-3. (Onlinefirst). http://link.springer.com/article/10.1007/s13132-014-0218-3

  • Feldman, M. P., & Audretsch, D. B. (1999). Innovation in cities: science-based diversity, specialization and localized competition. European Economic Review, 43, 409–429.

    Article  Google Scholar 

  • Fernandes, C., & Ferreira, J. (2013). Knowledge spillovers: cooperation between universities and KIBS. R&D Management, 43(5), 461–472.

    Article  Google Scholar 

  • Florida, R. (1995a). Towards the learning region. Futures, 27(5), 527–536.

    Article  Google Scholar 

  • Florida, R. (1995b). Entrepreneurship, creativity and regional economic growth. In Acs (Ed.), Entrepreneurship and regional development. Cheltenham, UK: Edward Elgar.

  • Fontana, R., Geuna, A., & Matt, M. (2006). Factors affecting university-industry R&D projects: the importance of searching, screening and signaling. Research Policy, 35, 309–323.

    Article  Google Scholar 

  • Forero-Pineda, C., Corredor, S., & Forero, N. (2010). Business networks and innovation in SMEs and large firms of a developing country. The 5th IEEE International Conference on Management of Innovation and Technology. 2010, Singapore.

  • George, G., Zahra, S. A., & Wood, D. R. (2002). The effects of business-university alliances on innovative output and financial performance: a study of publicly traded biotechnology companies. Journal of Business Venturing, 17, 577–609.

    Article  Google Scholar 

  • Gittelman, M. (2007). Does geography matter for science-based firms? Epistemic communities and the geography of research and patenting in biotechnology. Organization Science, 18(4), 724–745.

    Article  Google Scholar 

  • Glaeser, E. L., Kallal, H. D., Scheinkman, J. A., & Shleifer, A. (1992). Growth in cities. The Journal of Political Economy, 100, 1126–1152.

    Article  Google Scholar 

  • Griliches, Z. (1979). Issues in assessing the contribution of R&D to productivity growth. The Bell Journal of Economics, 10, 92–116.

    Article  Google Scholar 

  • Henderson, J. (2002). Building the rural economy with high-growth entrepreneurs. Economic Review, 87(3), 45–70.

  • Jaffe, A. (1989). The real effects of academic research. American Economic Review, 79, 957–70.

    Google Scholar 

  • Jaffe, A., Trajtenberg, M., & Henderson, R. (1993). Geographic localization of knowledge spillovers as evidence by patent citations. Quarterly Journal of Economics, 108(3), 577–98.

    Article  Google Scholar 

  • Jovanovic, B. (1982). Selection and evolution of industry. Econometrica, 50, 649–670.

    Article  Google Scholar 

  • King, Z. (2006). Knowledge production and university-business interaction in the life sciences, Report prepared for the Department of Trade and Industry, University of Reading Business School, Reading, U.K. Available online: http://www.reading.ac.uk/business/images/content/UBI.pdf

  • Kinoshita, Y. (2001). R & D and Technology Spillovers through FDI: Innovation and Absorptive Capacity, CEPR Discussion Paper, No 2775.

    Google Scholar 

  • Laursen, K., & Salter, A. (2004). Searching high and low: what types of firms use universities as a source of innovation? Research Policy, 33, 1201–1215.

    Article  Google Scholar 

  • Lejpras, A. (2012). How innovative are spin-offs at later stages of development? Comparing innovativeness of established research spin-offs and otherwise created firms, DIW Berlin Discussion Paper, 1237.

  • Lejpras, A. (2014). How innovative are spin-offs at later stages of development? Comparing innovativeness of established research spin-offs and otherwise created firms. Small Business Economics, 43(2), 327–351.

    Article  Google Scholar 

  • Levy, R., Roux, P., & Wolff, S. (2007). An analysis of science-industry collaborative patterns in a large European University. Journal of Technology Transfer, 34, 1–23.

    Article  Google Scholar 

  • Lindberg, M., Lindgren, M., & Packendorff, J. (2014). Quadruple helix as a way to bridge the gender gap in entrepreneurship: the case of an innovation system project in the Baltic Sea region. Journal of the Knowledge Economy, 5(1), 94–113.

    Article  Google Scholar 

  • Lockett, A., Wright, M., & Franklin, S. (2003). Technology transfer and universities, spin-out strategies. Small Business Economics, 20(2), 185.

    Article  Google Scholar 

  • Löfsten, H., & Lindelöf, P. (2005). R&D networks and product innovation patterns—academic and non-academic new technology-based firms on Science Parks. Technovation, 25, 1025–1037.

    Article  Google Scholar 

  • Lorenz, E. (2014). Innovation and social capital: a multi-level analysis of enterprise innovation performance in developing nations. http://ssrn.com/abstract=2529300.

  • Lucas, R. E. (1988). On the mechanism of economic development (pp. 3–42). XXII: Journal of Monetary Economics.

    Google Scholar 

  • Mansfield, E. (1995). Academic research underlying industrial innovations: sources, characteristics, and financing. The Review of Economics and Statistics, 77, 55–65.

    Article  Google Scholar 

  • Mathur V. K. (1999). Human-capital-based strategy for regional economic development. Economic Development Quarterly, 13(3), 203–216.

  • Molero, J., & Maldonado, G. (2012). Contrastes entre spin-offs universitarios y empresas de base tecnológica independientes: el caso del Parque Científico de Madrid. Dirección y Organización, 46, 16–30.

    Google Scholar 

  • Morgan, K. (1997). The learning region: institutions, innovation and regional renewal. Regional Studies, 31, 491–503.

    Article  Google Scholar 

  • Mustar, P. (1998). Partnerships, configurations and dynamics in the creation and development of SMEs by researchers. Industry and Higher Education, 217–221.

  • OECD. (2005). Oslo manual: guidelines for collecting and interpreting innovation data (3rd ed.). Paris, France: Organization for Economic Co-operation and Development.

    Google Scholar 

  • Pirnay, F., Surlemont, B., & Nlemvo, F. (2003). Toward a typology of spin-offs. Small Business Economics, 21, 355–369.

    Article  Google Scholar 

  • Powers, J., & McDougall, P. (2005). University start-up formation and technology licensing with firms that go public: a resource based view of academic entrepreneurship. Journal of Business Venturing, 20(3), 291–311.

    Article  Google Scholar 

  • Rabe-Hesketh, S., & Skrondal, A. (2012). Multilevel and longitudinal modeling using Stata. Volume I+II (3rd ed.). Texas: Stata Press.

    Google Scholar 

  • Raspe, O., & van Oort, F. (2008). Firm growth and localized knowledge externalities. The Journal of Regional Analysis and Policy, 38(2), 100–116.

    Google Scholar 

  • Raspe, O., & Van Oort, F. (2009). Localized knowledge externalities and firms: an intrinsic multilevel issue, FIRB-RISC Conference Research and entrepreneurship in the knowledge-based economy. Milan, Italy: KITeS-Cespri, Bocconi University.

    Google Scholar 

  • Red OTRI de Universidades. (2011). Informe Red OTRI de Universidades, 2011. Madrid: Conferencia de Rectores de las Universidades Españolas, CRUE.

    Google Scholar 

  • Rodeiro-Pazos, D., Rodriguez-Gulías, M.J., & Fernandez-López, S. (2014). La actividad de innovación en las spin-offs universitarias. Existe alguna diferencia con el resto de empresas? In A. G. Aracil, & I. N. Gómez (Eds.), Investigaciones de Economía de la Educación, 9 (pp. 241–253). Valencia: Jornadas de la Asociación de Economía de la Educación.

  • Siegel, D. S., & Wright, M. (2007). Intellectual property: the assessment. Oxford Review of Economic Policy, 23(4), 529–540.

    Article  Google Scholar 

  • Snijders, T. A., & Bosker, R. J. (1999). Multilevel analysis: an introduction to basic and advanced multilevel modeling. London: Sage Publications.

    Google Scholar 

  • Srholec, M. (2011). A multilevel analysis of innovation in developing countries. Industrial and Corporate Change, 20, 1539–1569.

    Article  Google Scholar 

  • Srholec, M. (2014). Cooperation and innovative performance of firms: panel data evidence from the Czech Republic, Norway and the UK. Journal of the Knowledge Economy, 5(1), 133–155.

    Article  Google Scholar 

  • Srholec, M., & Žížalová, P. (2011). Just how much does the local innovation milieu matter for the innovativeness of firms? Multilevel evidence from the Czech Republic. Conference on Micro Evidence on Innovation in Developing Economies (MEIDE). San José, Costa Rica.

  • Steele, F. (2008). Module 5: introduction to multilevel modelling concepts. LEMMA (Learning Environment for Multilevel Methodology and Applications), Centre for Multilevel Modelling, University of Bristol. http://www.bristol.ac.uk/cmm/research/lemma/1/outputs.html.

  • Steele, F. (2009). Module 7: multilevel models for binary responses: concepts. LEMMA (Learning Environment for Multilevel Methodology and Applications), Centre for Multilevel Modelling, University of Bristol. http://www.bristol.ac.uk/cmm/research/lemma/1/outputs.html.

  • Stephan, A. (2014). Are public research spin-offs more innovative? Small Business Economics, 43(2), 353–368.

    Article  Google Scholar 

  • Storper, M. (1997). The regional world. New York and London: The Guilford Press.

    Google Scholar 

  • Storper, M., & Venables, A. J. (2004). Buzz: face-to-face contact and the urban economy. Journal of Economic Geography, 4, 351–370.

    Article  Google Scholar 

  • Suseno, Y., & Ratten, V. (2007). A theoretical framework of alliance performance: the role of trust, social capital and knowledge development. Journal of Management and Organization, 13(1), 4–23.

    Article  Google Scholar 

  • Teixeira, AC., & Grande, M. (2013). Determinants of the economic performance of Portuguese academic spin-offs: do science, technology infrastructures and support matter?. FEP-UP, School of Economics and Management, University of Porto Working Papers, n. 502 September 2013. http://wps.fep.up.pt/wps/wp502.pdf.

  • Veugelers, R., & Cassiman, B. (1999). Make and buy in innovation strategies: evidence from Belgian manufacturing firms. Research Policy, 28, 63–80.

    Article  Google Scholar 

  • Wennberg, K., Wiklund, J. & Wright, M. (2011). The effectiveness of university knowledge spillovers: performance differences between university spinoffs and corporate spinoffs. Research Policy, 40, 1128--1143.

  • Yagüe, R. M., & March, I. (2011). Performance analysis of research spin-offs in the Spanish biotechnology industry. Journal of Business Research, 65(12), 1782–1789.

    Article  Google Scholar 

  • Zhang, J. (2009). The performance of university spin-offs: an exploratory analysis using venture capital data. The Journal of Technology Transfer, 34, 255–285.

    Article  Google Scholar 

  • Zuluaga, (2012). The influence of regional knowledge spillovers on the innovative performance of firms. A multilevel approach. Globelics Academy, 8th Ph.D. School on Innovation and Economic Development, Brazil. http://www.redesist.ie.ufrj.br/ga2012/paper/JulioCesarZuluagaJimenez.pdf.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David Rodeiro-Pazos.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rodríguez-Gulías, M.J., Rodeiro-Pazos, D. & Fernández-López, S. The Regional Effect on the Innovative Performance of University Spin-Offs: a Multilevel Approach. J Knowl Econ 7, 869–889 (2016). https://doi.org/10.1007/s13132-015-0287-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13132-015-0287-y

Keywords

Navigation