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

Wendy Chapple (), Andy Lockett (), Donald S. Siegel () and Mike Wright
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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.

Rensselaer Working Papers in Economics from Rensselaer Polytechnic Institute, Department of Economics

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.

JEL-codes: D23 L31 O31 O32 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ino
Date: 2004-12
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Journal Article: Assessing the relative performance of U.K. university technology transfer offices: parametric and non-parametric evidence (2005)
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