Research collaboration beyond the boundary: Evidence from university patents in China

被引:12
作者
Cui, Jingbo [1 ,2 ]
Li, Tianqi [3 ]
Wang, Zhenxuan [4 ,5 ]
机构
[1] Duke Kunshan Univ, Environm Res Ctr, Div Social Sci, Kunshan, Peoples R China
[2] Duke Kunshan Univ, Data Sci Res Ctr, Kunshan, Peoples R China
[3] Univ North Carolina Chapel Hill, Dept Econ, Chapel Hill, NC USA
[4] Duke Univ, Nicholas Sch Environm, Durham, NC USA
[5] Duke Univ, Sanford Sch Publ Policy, Durham, NC USA
基金
中国国家自然科学基金;
关键词
collaborative innovation; high-speed railway; patent; university-industry collaboration; RESEARCH-AND-DEVELOPMENT; STATE-OWNED ENTERPRISES; HIGH-SPEED RAILWAY; KNOWLEDGE SPILLOVERS; INNOVATION; DISTANCE; DETERMINANTS; INTEGRATION; TECHNOLOGY; EFFICIENCY;
D O I
10.1111/jors.12635
中图分类号
F [经济];
学科分类号
02 ;
摘要
Geographical distance constitutes friction in searching for research collaborators. Taking advantage of a quasinatural experiment featured by High-Speed Railway (HSR) lines in China, this paper employs the difference-in-differences model to identify the causal impact of a substantial improvement in the intercity transportation infrastructure on collaborative innovation across cities. The data pertain to a universe of patent applications filed by Chinese universities and their citations. We find that HSR contributes to a substantial increase in the innovation quantity and quality of collaborative patenting innovation between universities and corporates. It contributes to industry collaboration by utilizing university academic disciplines in the related technology fields. Lastly, HSR facilitates universities to search for new research partners with better quality beyond the geographical boundary.
引用
收藏
页码:674 / 702
页数:29
相关论文
共 50 条
[31]   The spatial-temporal complexity and dynamics of research collaboration: Evidence from 297 cities in China (1985-2016) [J].
Xie, Qijun ;
Su, Jun .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 162
[32]   The role of research outcome quality in the relationship between university research collaboration and technology transfer: empirical results from China [J].
Sun, Yutao ;
Zhang, Chen ;
Kok, Robert A. W. .
SCIENTOMETRICS, 2020, 122 (02) :1003-1026
[33]   University-industry research collaboration: a model to assess university capability [J].
Abramo, Giovanni ;
D'Angelo, Ciriaco Andrea ;
Di Costa, Flavia .
HIGHER EDUCATION, 2011, 62 (02) :163-181
[34]   Peripherality and university collaboration: Evidence from rural SMEs in the UK [J].
Johnston, Andrew ;
Prokop, Daniel .
JOURNAL OF RURAL STUDIES, 2021, 88 :298-306
[35]   Key licensing technologies for patents based on university- industry collaboration Patent examiners' perspective [J].
Chang, Shu-Hao .
INTERNATIONAL JOURNAL OF INNOVATION SCIENCE, 2019, 11 (04) :539-560
[36]   Impact of energy technology patents in China: Evidence from a panel cointegration and error correction model [J].
Li, Ke ;
Lin, Boqiang .
ENERGY POLICY, 2016, 89 :214-223
[37]   Configuration paths to high-value patents: evidence from patents winning the China Patent Awards [J].
Wang, Shanshan ;
Zhou, Hongyan ;
Zhao, Tianyi .
SCIENTOMETRICS, 2024, 129 (05) :2633-2658
[38]   Understanding university-industry collaboration from the perspective of proximity: insights from a case study in China [J].
Shi, Lili ;
Wang, Li .
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 2024, 36 (12) :4380-4392
[39]   Causal links between patents and economic growth: empirical evidence from [J].
Yildiz, Oznur Ozkan ;
Gorkey, Selda .
INTERNATIONAL JOURNAL OF INNOVATION, 2024, 12 (02)
[40]   The 2011 Collaborative Innovation Plan, University-Industry Collaboration and Achievement Transformation of Universities: Evidence from China [J].
Hua Cheng ;
Shiqian Huang ;
Yinhong Yu ;
Zhiying Zhang ;
Meifen Jiang .
Journal of the Knowledge Economy, 2023, 14 :1249-1274