Exploring the effect of political borders on university-industry collaborative research performance: Evidence from China’s Guangdong province

Guanghua Chen, Guoliang Yang, Feng He and Kaihua Chen

Technovation, 2019, vol. 82-83, 58-69

Abstract: This paper investigates how political borders affect university-industry (U-I) collaborative research performance. It is hypothesised that cross- and within-regional political borders have an inhibitory effect on cross-border U-I collaborative research performance. The empirical research considers political borders and geographic distance to disentangle the border effect from the spatial distance effect based on a novel dataset comprising 681 U-I collaborative research projects in China’s Guangdong province. The results confirm the hypothesis that within-regional political border has a negative impact on U-I collaborative research performance, while an inhibitory effect of cross-regional political border was not observed. The results are robust for alternative dependent variables and different regression methods. Theoretical contributions and practical implications for cross-border U-I collaborative research management and policies are discussed.

Keywords: University-industry collaboration; Research performance; Political border effect; Cross-regional; Within-regional (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0166497216301699
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:techno:v:82-83:y:2019:i::p:58-69

DOI: 10.1016/j.technovation.2019.02.001

Access Statistics for this article

Technovation is currently edited by Jonathan Linton

More articles in Technovation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().