Analyzing the Knowledge Transfer Performance of China’s Universities: a Heterogeneous Stochastic Frontier Approach

Zhuo Chen (), Zhenbing Yang () and Lili Yang ()
Additional contact information
Zhuo Chen: Nanjing Normal University
Zhenbing Yang: School of Economics, Nanjing University of Finance and Economics
Lili Yang: Shanghai Lixin University of Accounting and Finance

Journal of the Knowledge Economy, 2024, vol. 15, issue 1, No 159, 3975-4003

Abstract: Abstract Evaluating the knowledge transfer performance of universities facilitates the tracking of and improvement in the factor utilization efficiency of R&D activities. In this study, a heterogeneous stochastic frontier analysis model is used to measure the total factor productivity (TFP) growth rate, output elasticity, and factor bias index of knowledge transfer in Chinese universities from 2007 to 2016. The results show that the overall TFP of knowledge transfer at the university level in China has been improving. The increase in technical efficiency is the primary reason for this phenomenon. The output elasticity of R&D capital input is much larger than that of R&D labor input, indicating that currently, knowledge transfer is still driven by capital. This finding is particularly clear in 211-Project universities. R&D labor in the knowledge transfer process receives more preference in universities (especially non-211-Project universities) in the later period (i.e., 2012–2016). Therefore, the government should encourage the enthusiasm of researchers and improve the substantial contribution of R&D labor, thus facilitating an improvement in the subsequent knowledge transfer performance.

Keywords: Knowledge transfer; Total factor productivity; Output elasticity; Factor bias; Heterogeneous stochastic frontier analysis (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13132-023-01253-5 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:jknowl:v:15:y:2024:i:1:d:10.1007_s13132-023-01253-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/13132

DOI: 10.1007/s13132-023-01253-5

Access Statistics for this article

Journal of the Knowledge Economy is currently edited by Elias G. Carayannis

More articles in Journal of the Knowledge Economy from Springer, Portland International Center for Management of Engineering and Technology (PICMET)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().