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Assessing the relative performance of U.K. university technology transfer offices: parametric and non-parametric evidence

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  • Chapple, Wendy
  • Lockett, Andy
  • Siegel, Donald
  • Wright, Mike

Abstract

We present evidence on the relative efficiency of U.K. university technology transfer offices (TTOs) using data envelopment analysis (DEA) and stochastic frontier estimation (SFE). We find that U.K. TTOs exhibit low levels of absolute efficiency. Universities located in regions with higher levels of R&D and GDP appear to be more efficient in technology transfer, implying that there may be regional spillovers in technology transfer. Our results suggest that TTOs may need to be reconfigured into smaller units, since there may be scope for the development of regionally-based, sector focused TTOs. Consistent with qualitative evidence from U.S. TTOs (e.g., Siegel et al. (2003a, b, c)), we find that there may be a need to enhance the skills and capabilities of U.K. TTO managers and licensing professionals.

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Bibliographic Info

Article provided by Elsevier in its journal Research Policy.

Volume (Year): 34 (2005)
Issue (Month): 3 (April)
Pages: 369-384

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Handle: RePEc:eee:respol:v:34:y:2005:i:3:p:369-384

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  1. Siegel, Donald S. & Waldman, David & Link, Albert, 2003. "Assessing the impact of organizational practices on the relative productivity of university technology transfer offices: an exploratory study," Research Policy, Elsevier, vol. 32(1), pages 27-48, January.
  2. B. Clarysse & M. Wright & A. Lockett & E. Van De Velde & A. Vohora, 2004. "Spinning Out New Ventures: A Typology Of Incubation Strategies From European Research Institutions," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/228, Ghent University, Faculty of Economics and Business Administration.
  3. Jerry G. Thursby & Marie C. Thursby, 2000. "Who is Selling the Ivory Tower? Sources of Growth in University Licensing," NBER Working Papers 7718, National Bureau of Economic Research, Inc.
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  6. Albert Link & Donald Siegel, 2005. "Generating science-based growth: an econometric analysis of the impact of organizational incentives on university-industry technology transfer," The European Journal of Finance, Taylor & Francis Journals, vol. 11(3), pages 169-181.
  7. CĂ©line Druilhe & Elizabeth Garnsey, 2004. "Do Academic Spin-Outs Differ and Does it Matter?," The Journal of Technology Transfer, Springer, vol. 29(3_4), pages 269-285, 08.
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  10. Bania, Neil & Eberts, Randall W & Fogarty, Michael S, 1993. "Universities and the Startup of New Companies: Can We Generalize from Route 128 and Silicon Valley?," The Review of Economics and Statistics, MIT Press, vol. 75(4), pages 761-66, November.
  11. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," NBER Working Papers 3993, National Bureau of Economic Research, Inc.
  12. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
  13. Thursby, Jerry G. & Kemp, Sukanya, 2002. "Growth and productive efficiency of university intellectual property licensing," Research Policy, Elsevier, vol. 31(1), pages 109-124, January.
  14. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
  15. Owen-Smith, Jason & Powell, Walter W, 2001. " To Patent or Not: Faculty Decisions and Institutional Success at Technology Transfer," The Journal of Technology Transfer, Springer, vol. 26(1-2), pages 99-114, January.
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