{"title":"Intellectual property services and the commercialization of patents: Insights from Chinese scientists","authors":"Yiling Guo , Shiyu Zhong , Chuyi Zhou , Jinhua Xiang , Xuan Leng","doi":"10.1016/j.chieco.2026.102726","DOIUrl":null,"url":null,"abstract":"<div><div>Intellectual property (IP) services have become a critical support system for fostering innovation, yet existing research has paid little attention to their impact on university scientists. Drawing on innovation output data from university scientists in China, this paper exploits the “National Intellectual Property Pilot and Demonstration University” policy as a quasi-natural experiment to examine the effect of public IP services on the commercialization of university innovation outputs. We find that IP services significantly promote the commercialization of innovation outputs at universities. Mechanism analysis reveals that IP service platforms establish a mode of specialized division of labor and goal coordination with lower friction costs, advancing the commercialization of scientific and technological achievements by enhancing innovation efficiency and promoting university-industry-research collaboration. Further analysis indicates that the positive effect of IP services on commercialization is more pronounced among scientists with stronger basic research capabilities and richer research experience, particularly those affiliated with the Divisions of Information Science, Chemical Science, Engineering and Materials Science, and Mathematical and Physical Sciences. This paper offers policy implications for optimizing the institutional environment of university IP services and addressing the persistent challenges in the commercialization of scientific and technological achievements.</div></div>","PeriodicalId":48285,"journal":{"name":"中国经济评论","volume":"98 ","pages":"Article 102726"},"PeriodicalIF":5.9000,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国经济评论","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1043951X26000763","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/5/20 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Intellectual property (IP) services have become a critical support system for fostering innovation, yet existing research has paid little attention to their impact on university scientists. Drawing on innovation output data from university scientists in China, this paper exploits the “National Intellectual Property Pilot and Demonstration University” policy as a quasi-natural experiment to examine the effect of public IP services on the commercialization of university innovation outputs. We find that IP services significantly promote the commercialization of innovation outputs at universities. Mechanism analysis reveals that IP service platforms establish a mode of specialized division of labor and goal coordination with lower friction costs, advancing the commercialization of scientific and technological achievements by enhancing innovation efficiency and promoting university-industry-research collaboration. Further analysis indicates that the positive effect of IP services on commercialization is more pronounced among scientists with stronger basic research capabilities and richer research experience, particularly those affiliated with the Divisions of Information Science, Chemical Science, Engineering and Materials Science, and Mathematical and Physical Sciences. This paper offers policy implications for optimizing the institutional environment of university IP services and addressing the persistent challenges in the commercialization of scientific and technological achievements.
期刊介绍:
The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.