Collaborative innovation efficiency: From within cities to between cities—Empirical analysis based on innovative cities in China
Xueli Wang and
Growth and Change, 2021, vol. 52, issue 3, 1330-1360
The city is both a carrier and a subject of innovation. Based on the triple helix theory of industry–university research and the theory of spatial correlation, this study constructs a collaborative innovation framework both within the cities and between cities, and uses a network data envelopment analysis (DEA) model and spatial econometric model to measure and analyze the collaborative innovation efficiency in 75 innovative cities in China. The results show that collaborative innovation efficiency within cities is on the rise, and the efficiency of “research to production” is significantly higher than that of “learning to research.” Industrial structure and foreign factors have inhibited the efficiency improvements, and infrastructure and living standards have different promoting effects on different stages of efficiency. Between cities, capital flows have obvious spillover effects, which promote the efficiency of innovation networks, while the long‐term characteristics of institutional learning have a near‐term negative impact.
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:bla:growch:v:52:y:2021:i:3:p:1330-1360
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0017-4815
Access Statistics for this article
Growth and Change is currently edited by Dan Rickman and Barney Warf
More articles in Growth and Change from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().