Does University-Industry collaboration improve innovation efficiency? Evidence from Chinese Firms⋄
Xing Shi,
Yanrui Wu and
Dahai Fu
Economic Modelling, 2020, vol. 86, issue C, 39-53
Abstract:
This paper investigates the impact of university-industry (UI) collaboration on firms' innovation efficiency using a balanced panel of 443 innovative firms in China from 2008 to 2011. An evaluation of firms' innovation efficiency shows that innovative firms do not show consistent performance across the two stages of the innovation process, namely, the R&D stage and the commercialisation stage. The empirical results demonstrate that UI collaboration can be detrimental to a firm's innovation efficiency initially but that the firm can benefit from UI collaboration as engagement deepens. In addition, UI collaboration affects innovation efficiency differently across the two stages once regional institutional factors are taken into consideration. Thus, pertinent policies may be required in order to facilitate UI collaboration and its role in improving innovation efficiency at different stages.
Keywords: University-industry collaboration; Innovation efficiency; Innovation process; Chinese firms (search for similar items in EconPapers)
JEL-codes: D22 L2 O3 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999317318576
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:ecmode:v:86:y:2020:i:c:p:39-53
DOI: 10.1016/j.econmod.2019.05.004
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().