Endogenous Matching in University-Industry Collaboration: Theory and Empirical Evidence from the United Kingdom
研究利用双边匹配框架分析英国高校学者与企业之间的合作匹配模式，发现能力与类型上呈正向匹配，但交互作用上呈负向匹配，且高能力与应用型学者更倾向合作项目。
We use a two-sided matching framework to analyze collaboration between heterogeneous academics and firms. We consider both horizontal and vertical characteristics—those related to affinity (e.g., preferences for a type of scientific research) and those related to ability (e.g., capacity to produce high-quality scientific output). We build a unique data set based on the teams of academics and firms that proposed research projects to the UK’s Engineering and Physical Sciences Research Council. Our results are suggestive of positive assortative matching in terms of ability and type, while the matching is negative assortative in terms of their interactions. The most able and the most applied academics are the ones that are more likely to propose collaborative as opposed to noncollaborative projects. Data are available at https://doi.org/10.1287/mnsc.2016.2680 . This paper was accepted by David Hsu, entrepreneurship and innovation.