||In recent years, the proportion of industry-university cooperation has been increasing. Whether it is a university or a vocational college, it has signed industry-university cooperation cases with large and small enterprises. |
The amount of industry-university cooperation in Taiwan has grown by over-the-counter since 2003, and the number of patents obtained and the amount of technology transfer have also increased year by year. The university′s knowledge and research and development capabilities have become an indispensable part of enterprise innovation.
Therefore, this paper observes the patents that University of Taiwan apply for in the United States to open and approve, mainly in the semiconductor and information categories. During the research period from 2007 to 2016, a total of 10 years of data. Comparing university-enterprise cooperation will have an impact on knowledge spillovers.
This paper uses the negative binomial model and the zero inflated count model for empirical estimation, and determines which model to use by examining whether there is excess-zero problem. The research results show that the transfer of patent ownership has a positive and significant impact on the knowledge spillover of enterprises, but the overflow of knowledge held by universities and enterprises is not significant, which may indicate the patents transferred by the university to enterprises. Greater influence or intellectual value also indicates that it is helpful for universities to cooperate with enterprises to spill knowledge. Finally, we analyze the impact on knowledge spillovers within the organization, because there may be knowledge spillovers among the members of the organization. The results show that the two models of university-enterprise cooperation are positively consistent with our expectations. Of course, it is difficult to know clearly whether the relationship between members of the organization is cited by the same inventor. Therefore, it may be more appropriate to explain the influence of the subsequent patent invention than to the knowledge spillover within the organization.
9.陳宗權、林博文、朱默庵，產學合作中的知識探索與利用。臺大管理論叢，第22 卷第2期 59-86頁。
11.楊志海、陳忠榮 (2002), 研究發展、專利與生產力, 經濟論文叢刊，第三十輯第一期(30:1)，頁27-48，台大經濟系出版。
1.Ajay Agrawal (2006) Engaging the inventor: exploring licensing strategies for university inventions and the role of latent knowledge. Strategic Management, Volume27, Issue1, Pages 63-79
2.Andrew J.Nelson. (2012) Putting university research in context: Assessing alternative measures of production and diffusion at Stanford. Research Policy, Volume 41, Issue 4, Pages 678-691
3.Alessandro Muscio , Davide Quaglione, Michele Scarpinato.(2012) The effects of universities′ proximity to industrial districts on university–industry collaboration. China Economic Review, vol. 23, issue 3, 639-650
4.Alessandra Scandura. (2016) University–industry collaboration and firms’ R&D effort. Research Policy ,45(9), Pages 1907-1922
5.CarlosRosell ,AjayAgrawal. (2009) Have university knowledge flows narrowed ? : Evidence from patent data. Research Policy ,38(1), Pages 1-13
6.David C.Mowery,Arvids A.Ziedonis. (2015) Markets versus spillovers in outflows of university research. Research Policy ,44(1), Pages 50-66
7.Jeffrey L. Furman and Megan MacGarvie. (2009) Academic Collaboration and Organizational Innovation: The Development of Research Capabilities in the US Pharmaceutical Industry, 1927-1946. Industrial and Corporate Change, Vol. 18, Issue 5, pp. 929-961
8. Jong-Rong Chen, Kamhon Kan, and I-Hsuan Tung. (2016) Scientific Linkage and Firm Productivity: Panel Data Evidence from Taiwanese Electronics Firms. Research Policy, 45(7), 1449-1459
9.Leonidas Aristodemou and Frank Tietze (2018) Citations as a measure of technological impact: A review of forward citation-based measures. World Patent Information, Volume 53, Pages 39-44
10.Michael K. Fung. (2005) Are Knowledge Spillovers Driving the Convergence of Productivity Among Firms? Economica, Vol. 72, No. 286, pp. 287-305
11.Ornella WandaMaietta (2015)Determinants of university–firm R&D collaboration and its impact on innovation: A perspective from a low-tech industry. Research Policy Volume 44, Issue 7, Pages 1341-1359
12.Rui Li , Tamy Chambers ,Ying Ding ,Guo Zhang ,Liansheng Meng. (2014) Patent citation analysis: Calculating science linkage based on citing motivation. Journal of the American Society for Information Science 65(5):1007-1017
13.Shu-HaoChang (2017) The technology networks and development trends of university-industry collaborative patents. Technological Forecasting and Social Change, Volume 118, Pages 107-113
14.Yi Deng. (2008) The value of knowledge spillovers in the U.S. semiconductor industry. International Journal of Industrial Organization, Volume 26, Issue 4, July 2008, Pages 1044-1058