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Assessing the Relative Performance of U.K. University Technology Transfer Offices: Parametric and Non-Parametric Evidence

  • Wendy Chapple

    ()

    (Nottingham University Business School, University of Nottingham, Jubilee Campus, Nottingham NG8 1BB, UK.)

  • Andy Lockett

    ()

    (Nottingham University Business School, University of Nottingham, Jubilee Campus, Nottingham NG8 1BB, UK.)

  • Donald S. Siegel

    ()

    (Department of Economics, Rensselaer Polytechnic Institute, Troy, NY 12180-3590, USA)

  • Mike Wright

    ()

    (Nottingham University Business School, University of Nottingham, Jubilee Campus, Nottingham NG8 1BB, UK.)

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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Paper provided by Rensselaer Polytechnic Institute, Department of Economics in its series Rensselaer Working Papers in Economics with number 0423.

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Date of creation: Dec 2004
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Handle: RePEc:rpi:rpiwpe:0423
Contact details of provider: Web page: http://www.economics.rpi.edu/
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  1. 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.
  2. Jaffe, A.B. & Trajtenberg, M., 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," Papers 14-92, Tel Aviv.
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  7. Jerry G. Thursby & Marie C. Thursby, 2002. "Who Is Selling the Ivory Tower? Sources of Growth in University Licensing," Management Science, INFORMS, vol. 48(1), pages 90-104, January.
  8. Neil Bania & Randall W. Eberts & Michael S. Fogarty, . "Universities and the Startup of New Companies: Can We Generalize from Route 128 and Silicon Valley?," Upjohn Working Papers and Journal Articles rwe1993, W.E. Upjohn Institute for Employment Research.
  9. 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.
  10. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
  11. 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.
  12. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
  13. 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.
  14. 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.
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