合著数据表征的中国研究型大学产学研合作绩效评估

大学直接促进社会经济发展一直是学术界和科技政策制定者关注的话题，然而，人们很难回答中国哪些大学为企业提供了最多的科技信息和研发服务。利用84所研究型大学的校企合著数据来弥补这一缺失，并评价了这些大学产学研合作绩效。一系列组织特征变量与校企合作指标显著相关，验证了基于校企合著评价模型的有效性，也为多维视角的排名和比较提供了思路。考虑到存在一些理论和测量上的基本问题，现阶段校企合著数据更适合作为大学综合排名榜的辅助指标，而不是专门设计一个校企合作排行榜。

Assessing University-Industry Collaboration Performance of Research Universities in China Based on Co-authorship Data

Scholars and policy makers in science and technology field have showed great interest in the discussion about w hether universities can encompass a third mission of economic development .How ever ,there is still no comparative infor‐mation as to w hich universities in China are among the major providers of science‐based information and service to the busi‐ness sector .This paper presents a result of statistical analyses to help fill this information gap by dealing with the co‐au‐thorship data on 84 research universities in China and assesses their performance of university‐industry collaborations .The significant correlations betw een a host of organizational variables and the performance of university‐industry research col‐laborations have confirmed the effectiveness of the assessing model based on co‐authorship data .Furth more ,it can rank or benchmark the performance of university‐industry collaborations from a multidimensional perspective by using the or‐ganizational variables .Pending further validation studies ,it concludes that co‐authorship data should preferably be used as complementary evidence for holistic rankings of universities rather than used as a special university‐industry collaborations league tables .