The impact of institutional difference on scientific collaboration: Empirical evidence from six provinces in central China
Jianhong Fan,
Huichao Wu and
Jing Ma
Applied Economics Letters, 2023, vol. 30, issue 17, 2488-2493
Abstract:
Based on dividing institutional difference into formal institutional difference and informal institutional difference, this study explores the impact of institutional difference on scientific collaboration of six provinces in central China and analyses the moderating effect of provincial innovation environment and provincial research and development capacity using panel data from 2010 to 2019. The study finds that both formal institutional difference and informal institutional difference negatively affect scientific collaboration of six provinces in central China. Moreover, provincial innovation environment and provincial research and development capacity moderate the relationship between institutional difference and scientific collaboration of six provinces in central China. That is, in the context of good provincial innovation environment or high research and development capacity, the negative impact of institutional difference on scientific collaboration of six provinces in central China is stronger.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2023.2178617 (text/html)
Access to full text is restricted to subscribers.
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:taf:apeclt:v:30:y:2023:i:17:p:2488-2493
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20
DOI: 10.1080/13504851.2023.2178617
Access Statistics for this article
Applied Economics Letters is currently edited by Anita Phillips
More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().