Assessing the relative performance of university technology transfer in the US and UK: A stochastic distance function approach

Donald Siegel, Mike Wright, Wendy Chapple, Andy Lockett

Research output: Contribution to journalArticle

41 Scopus citations

Abstract

University technology transfer offices (henceforth, TTOs) play a critical role in the diffusion of innovation and the development of new technology infrastructure. Studies of the relative efficiency of TTOs have been based on licensing output measures and data from a single country. In contrast, we present the first cross-country comparison of the relative performance of TTOs, based on stochastic multiple output distance functions. The additional dimension of output considered is the university's propensity to generate start-up companies, based on technologies developed at these institutions. We find that US universities are more efficient than UK universities and that the production process is characterized by either decreasing or constant returns to scale. Universities with a medical school and an incubator are closer to the frontier.

Original languageEnglish (US)
Pages (from-to)717-729
Number of pages13
JournalEconomics of Innovation and New Technology
Volume17
Issue number7-8
DOIs
StatePublished - 2008
Externally publishedYes

Keywords

  • Stochastic distance functions
  • Technology licensing
  • Technology transfer office
  • University spin-offs (USO) patents

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)
  • Management of Technology and Innovation

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