Effect of basic research and applied research on the universities’ innovation capabilities: the moderating role of private research funding
Xia Fan,
Xiaowan Yang () and
Zhou Yu
Additional contact information
Xia Fan: South China University of Technology
Xiaowan Yang: Hubei University of Technology
Zhou Yu: South China University of Technology
Scientometrics, 2021, vol. 126, issue 7, No 1, 5387-5411
Abstract:
Abstract This paper explores the impacts of basic research and applied research on the universities’ innovation capabilities and examines the role of private research funding. First, this paper divides universities’ innovation capabilities into scientific innovation capabilities and technological innovation capabilities according to the Pasteur’s quadrant paradigm. Second, based on a survey of 61 universities directly under the jurisdiction of the Ministry of Education of China, this study conducts an empirical analysis using the partial least squares path model. The results indicate that the complementary or substitutable effect of basic research and applied research on the promotion of universities’ innovation capabilities is different in the two dimension. Furthermore, the private research funding negatively moderates the effect of applied research on universities’ innovation capabilities, as well as the two dimensions. The paper provides quantitative evidence for Chinese practice from universities’ perspective and proposes recommendations for future development.
Keywords: Universities; Innovation capabilities; Basic research; Applied research; Private research funding; Pasteur’s quadrant; China (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-021-03998-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:scient:v:126:y:2021:i:7:d:10.1007_s11192-021-03998-9
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-021-03998-9
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().