Evaluation of technology transfer performance for Chinese universities based on a dual-game cross-efficiency model
Xiaolei Chen,
Zhongcheng Guan,
Guoliang Yang,
Hao Pan and
Xi Xiong
Socio-Economic Planning Sciences, 2024, vol. 94, issue C
Abstract:
The existing studies that measure the performance of university technology transfer have primarily treated technology transfer as an independent process, neglecting the competitive dynamics within universities and between universities. To bridge this gap, we extend the existing data envelopment analysis (DEA) game models by introducing an innovative dual-game cross-efficiency model. This model comprehensively accounts for the competitive interactions between university research and technology transfer, as well as the competition among universities, measuring technology transfer efficiency within a more integrated competition framework. The efficiency derived from our model integrates both self-evaluation of sub-stages within DMUs and peer-evaluation from other DMUs, making it more acceptable to both internal and external evaluated units. Employing this model, we assessed the efficiencies of technology transfer and research of universities across 30 Chinese provinces. Our analysis reveals that the average efficiency of technology transfer among Chinese universities is 0.3321, which is significantly lower than the average research efficiency of 0.6536. Additionally, the study uncovers significant regional disparities in the efficiency of university technology transfer, indicating a need for tailored strategies to enhance efficiencies in various universities. Finally, comparison with traditional models demonstrates the superiority of our model in both acceptability and comprehensiveness.
Keywords: Data envelopment analysis; Technology transfer efficiency; Chinese university; Game cross-efficiency model (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0038012124001496
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:soceps:v:94:y:2024:i:c:s0038012124001496
DOI: 10.1016/j.seps.2024.101950
Access Statistics for this article
Socio-Economic Planning Sciences is currently edited by Barnett R. Parker
More articles in Socio-Economic Planning Sciences from Elsevier
Bibliographic data for series maintained by Catherine Liu ().