Advertisement

Scientometrics

, Volume 121, Issue 3, pp 1367–1383 | Cite as

Knowledge begets knowledge: university knowledge spillovers and the output of scientific papers from U.S. Small Business Innovation Research (SBIR) projects

  • David B. Audretsch
  • Albert N. LinkEmail author
  • Martijn van Hasselt
Article

Abstract

Scientific papers submitted for publication from U.S. Small Business Innovation Research (SBIR)-funded research projects are an innovative output that has yet to be studied systematically. Using a knowledge production framework, we identify empirically covariates with the number of scientific papers resulting from SBIR projects over the period 1992 through 2001. We find empirically that when the firm involves a university in its funded project, more scientific papers result. When the form of university involvement is taken into account, we find the greatest impact on the output of scientific papers comes from the inclusion of an individual from the university who originally developed the technology being pursued by the firm in its SBIR project. In other words, the project-specific technical human capital knowledge from the university that spills over to the firm’s project begets (i.e., brings about) additional knowledge in the form of scientific papers submitted for publication.

Keywords

Innovation Technology Scientific publications R&D University knowledge spillovers Small Business Innovation Research (SBIR) program Patents 

JEL Classification

O31 O33 O38 J24 

References

  1. Amoroso, S., Audretsch, D. B., & Link, A. N. (2008). Sources of knowledge used by entrepreneurial firms in the European high-tech sector. Eurasian Business Review,8, 55–70.CrossRefGoogle Scholar
  2. Audretsch, D. B., & Link, A. N. (2018). Entrepreneurship and knowledge spillovers from the public sector. International Entrepreneurship and Management Journal.  https://doi.org/10.1007/s11365-018-0538-z.CrossRefGoogle Scholar
  3. Bacchiocchi, E., & Montobbio, F. (2009). Knowledge diffusion from university and public research. A comparison between US, Japan and Europe using patent citations. Journal of Technology Transfer,34, 169–181.CrossRefGoogle Scholar
  4. Civera, A., Meoli, M., & Vismara, S. (2017). Policies for the provision of finance to science-based entrepreneurship. Annals of Science and Technology Policy,1, 317–469.CrossRefGoogle Scholar
  5. 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.CrossRefGoogle Scholar
  6. Colombo, M. G., Meoli, M., & Vismara, S. (2019). Signaling in science-based IPOs: The combined effect of affiliation with prestigious universities, underwriters, and venture capitalists. Journal of Business Venturing,34, 141–177.CrossRefGoogle Scholar
  7. Famoye, F. (2010). On the bivariate negative binomial regression model. Journal of Applied Statistics,37(6), 969–981.MathSciNetCrossRefGoogle Scholar
  8. Gonzalez-Brambila, G., & Veloso, G. M. (2007). The determinants of research output and impact: A study of Mexican researchers. Research Policy,36, 1035–1051.CrossRefGoogle Scholar
  9. Griliches, Z. (1979). Issues in assessing the contribution of research and development to productivity growth. Bell Journal of Economics,10, 92–116.CrossRefGoogle Scholar
  10. Gulbrandsen, M., & Smeby, J. C. (2005). Industry funding and university professors’ research performance. Research Policy,34, 932–950.CrossRefGoogle Scholar
  11. Hall, B. H., & Harhoff, D. (2012). Recent research on the economics of patents. Annual Review of Economics,4, 541–565.CrossRefGoogle Scholar
  12. Hayter, C. S., & Link, A. N. (2018). Why do knowledge-intensive entrepreneurial firms publish their innovative ideas? Academy of Management Perspectives,32, 141–155.CrossRefGoogle Scholar
  13. Hessels, L. K., & van Lente, H. (2008). Re-thinking new knowledge production: A literature review and a research agenda. Research Policy,37, 740–750.CrossRefGoogle Scholar
  14. Hur, W. (2017). The patterns of knowledge spillovers across technology sectors evidenced in patent citation networks. Scientometrics,111, 595–619.CrossRefGoogle Scholar
  15. Jaffe, A. B. (1998). The importance of “spillovers” in the policy mission of the advanced technology program. Journal of Technology Transfer,23, 11–19.CrossRefGoogle Scholar
  16. Jewkes, J., Sawers, D., & Stillerman, R. (1958). The source of invention. London: Macmillan and Co.Google Scholar
  17. Leyden, D. P., & Link, A. N. (2015). Public sector entrepreneurship: U.S. Technology and Innovation Policy. New York: Oxford University Press.CrossRefGoogle Scholar
  18. Link, A. N. (2015). Capturing knowledge: Private gains and public gains from university research partnerships. Foundations and Trends in Entrepreneurship,11, 139–206.MathSciNetCrossRefGoogle Scholar
  19. Link, A. N., & Sarala, R. M. (2018). Advancing conceptualisation of university entrepreneurial ecosystems: The role of knowledge-intensive entrepreneurial firms. International Small Business Journal.  https://doi.org/10.1177/0266242618821720.CrossRefGoogle Scholar
  20. Link, A. N., & Scott, J. T. (2012). Employment growth from public support of innovation in small firms. Kalamazoo, MI: W.E. Upjohn Institute for Employment Research.CrossRefGoogle Scholar
  21. Link, A. N., & Scott, J. T. (2019). Creativity-enhancing technological change in the production of scientific knowledge. Economics of Innovation and New Technology.  https://doi.org/10.1080/10438599.2019.1636449.CrossRefGoogle Scholar
  22. Onyancha, O. B., & Maluleka, J. R. (2011). “Knowledge production through collaborative research in Sub-Saharan Africa: How much do countries contribute to each other’s knowledge output and citation impact? Scientometrics,87, 315–336.CrossRefGoogle Scholar
  23. Perkmann, M., Tartari, V., McKelvey, M., Autio, E., Broström, A., D’Este, P., et al. (2013). Academic engagement and commercialisation: A review of the literature on university-industry relations. Research Policy,42, 423–442.CrossRefGoogle Scholar
  24. Solow, R. F. (1957). Technical change and the aggregate production function. The Review of Economics and Statistics,39, 312–320.CrossRefGoogle Scholar
  25. Tijssen, R. J. W. (2004). Is the commercialisation of scientific research affecting the production of public knowledge? Global trends in the output of corporate research articles. Research Policy,33, 709–733.CrossRefGoogle Scholar
  26. Wessner, C. W. (2008). An assessment of the SBIR program. Washington, DC: National Academy Press.Google Scholar
  27. Xu, X., & Hardin, J. W. (2016). Regression models for bivariate count outcomes. The Stata Journal,16(2), 301–315.CrossRefGoogle Scholar
  28. Zhang, F., Yan, E., Niu, X., & Zhu, Y. (2018). Joint modeling of the association between NIH funding and its three primary outcomes: Patents, publications, and citation impact. Scientometrics,117, 591–602.CrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2019

Authors and Affiliations

  • David B. Audretsch
    • 1
  • Albert N. Link
    • 2
    Email author
  • Martijn van Hasselt
    • 2
  1. 1.Indiana UniversityBloomingtonUSA
  2. 2.University of North Carolina at GreensboroGreensboroUSA

Personalised recommendations