Efficiency of university–industry collaboration and its determinants: evidence from Chinese leading universities

Abstract

This paper applies the two-stage double bootstrap DEA to evaluate the university–industry (U–I) collaboration efficiency of 71 Chinese universities. In the first stage, we evaluate unbiased efficiency scores by using the bootstrap DEA method. Results show that the U–I collaboration efficiency of leading universities has fluctuated slightly from 2007 to 2015. In the second stage, we perform truncated regressions to explore underlying determinants of estimated efficiency. We found that the U–I collaboration efficiency is determined by a university’s characteristics, scientific research fund from the government, and regional economic status. We also found heterogeneous effects across samples.

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