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Evaluation of technology transfer performance for Chinese universities based on a dual-game cross-efficiency model

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  • Chen, Xiaolei
  • Guan, Zhongcheng
  • Yang, Guoliang
  • Pan, Hao
  • Xiong, Xi

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.

Suggested Citation

  • Chen, Xiaolei & Guan, Zhongcheng & Yang, Guoliang & Pan, Hao & Xiong, Xi, 2024. "Evaluation of technology transfer performance for Chinese universities based on a dual-game cross-efficiency model," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    • Handle: RePEc:eee:soceps:v:94:y:2024:i:c:s0038012124001496
    DOI: 10.1016/j.seps.2024.101950
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    as
    1. Amara, Nabil & Rhaiem, Mehdi & Halilem, Norrin, 2020. "Assessing the research efficiency of Canadian scholars in the management field: Evidence from the DEA and fsQCA," Journal of Business Research, Elsevier, vol. 115(C), pages 296-306.
    2. Qingxian An & Zongrun Wang & Ali Emrouznejad & Qingyuan Zhu & Xiaohong Chen, 2019. "Efficiency evaluation of parallel interdependent processes systems: an application to Chinese 985 Project universities," International Journal of Production Research, Taylor & Francis Journals, vol. 57(17), pages 5387-5399, September.
    3. Jie Wu & Huanhuan Jiang & Junfei Chu & Yuhong Wang & Xiaohong Liu, 2020. "Coordinated production target setting for production–pollutant control systems: A DEA two-stage bargaining game approach," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(8), pages 1216-1232, August.
    4. Wang, Ya & Pan, Jiao-feng & Pei, Rui-min & Yi, Bo-Wen & Yang, Guo-liang, 2020. "Assessing the technological innovation efficiency of China's high-tech industries with a two-stage network DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    5. Chen, Ya & Pan, Yongbin & Liu, Haoxiang & Wu, Huaqing & Deng, Guangwei, 2023. "Efficiency analysis of Chinese universities with shared inputs: An aggregated two-stage network DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    6. Jie Wu & Ganggang Zhang & Qingyuan Zhu & Zhixiang Zhou, 2020. "An efficiency analysis of higher education institutions in China from a regional perspective considering the external environmental impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 57-70, January.
    7. Xie, Qiwei & Xu, Qifan & Chen, Lifan & Jin, Xi & Li, Siqi & Li, Yongjun, 2022. "Efficiency evaluation of China's listed commercial banks based on a multi-period leader-follower model," Omega, Elsevier, vol. 110(C).
    8. Chen, Kaihua & Kou, Mingting & Fu, Xiaolan, 2018. "Evaluation of multi-period regional R&D efficiency: An application of dynamic DEA to China's regional R&D systems," Omega, Elsevier, vol. 74(C), pages 103-114.
    9. Kao, Chiang & Hwang, Shiuh-Nan, 2008. "Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan," European Journal of Operational Research, Elsevier, vol. 185(1), pages 418-429, February.
    10. Thursby, Jerry G. & Kemp, Sukanya, 2002. "Growth and productive efficiency of university intellectual property licensing," Research Policy, Elsevier, vol. 31(1), pages 109-124, January.
    11. Koronakos, Gregory & Sotiros, Dimitris & Despotis, Dimitris K. & Kritikos, Manolis N., 2022. "Fair efficiency decomposition in network DEA: A compromise programming approach," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    12. Contreras, I. & Lozano, S., 2022. "Size efficiency, splits and merger gains, and centralized resource reallocation of Spanish public universities," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    13. Borah, Dhruba & Ellwood, Paul, 2022. "The micro-foundations of conflicts in joint university-industry laboratories," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    14. Liu, Xing & Wu, Xianhua & Zhang, Weipan, 2024. "A new DEA model and its application in performance evaluation of scientific research activities in the universities of China's double first-class initiative," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    15. Jonathan C. Ho & Demei Lee, 2021. "Research commercialisation performance in different types of universities: case from Taiwan," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8617-8634, October.
    16. Sun, Yu & Yang, Feng & Wang, Dawei & Ang, Sheng, 2023. "Efficiency evaluation for higher education institutions in China considering unbalanced regional development: A meta-frontier Super-SBM model," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    17. Kao, Chiang & Liu, Shiang-Tai, 2019. "Cross efficiency measurement and decomposition in two basic network systems," Omega, Elsevier, vol. 83(C), pages 70-79.
    18. Lozano, S. & Hinojosa, M.A. & Mármol, A.M., 2019. "Extending the bargaining approach to DEA target setting," Omega, Elsevier, vol. 85(C), pages 94-102.
    19. Eva M. de la Torre & Tommaso Agasisti & Carmen Perez-Esparrells, 2017. "The relevance of knowledge transfer for universities’ efficiency scores: an empirical approximation on the Spanish public higher education system," Research Evaluation, Oxford University Press, vol. 26(3), pages 211-229.
    20. Munari, Federico & Sobrero, Maurizio & Toschi, Laura, 2018. "The university as a venture capitalist? Gap funding instruments for technology transfer," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 70-84.
    21. Chen, Zhuo & Yang, Zhenbing & Yang, Lili, 2020. "How to optimize the allocation of research resources? An empirical study based on output and substitution elasticities of universities in Chinese provincial level," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    22. Manuel Salas-Velasco, 2020. "Measuring and explaining the production efficiency of Spanish universities using a non-parametric approach and a bootstrapped-truncated regression," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 825-846, February.
    23. Hicks, Diana, 2012. "Performance-based university research funding systems," Research Policy, Elsevier, vol. 41(2), pages 251-261.
    24. Liang Liang & Jie Wu & Wade D. Cook & Joe Zhu, 2008. "The DEA Game Cross-Efficiency Model and Its Nash Equilibrium," Operations Research, INFORMS, vol. 56(5), pages 1278-1288, October.
    25. Hsu, David W.L. & Shen, Yung-Chi & Yuan, Benjamin J.C. & Chou, Chiyan James, 2015. "Toward successful commercialization of university technology: Performance drivers of university technology transfer in Taiwan," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 25-39.
    26. Du, Juan & Liang, Liang & Chen, Yao & Cook, Wade D. & Zhu, Joe, 2011. "A bargaining game model for measuring performance of two-stage network structures," European Journal of Operational Research, Elsevier, vol. 210(2), pages 390-397, April.
    27. Khezrimotlagh, Dariush & Zhu, Joe & Cook, Wade D. & Toloo, Mehdi, 2019. "Data envelopment analysis and big data," European Journal of Operational Research, Elsevier, vol. 274(3), pages 1047-1054.
    28. Prokop, Daniel, 2021. "University entrepreneurial ecosystems and spinoff companies: Configurations, developments and outcomes," Technovation, Elsevier, vol. 107(C).
    29. Kapetaniou, Chrystalla & Lee, Soo Hee, 2017. "A framework for assessing the performance of universities: The case of Cyprus," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 169-180.
    30. Chen, Kun & Wupur, Abduhalik & Abudouguli, Ailifeire & Yang, Guo-liang, 2023. "Measuring the knowledge transfer efficiency of social science in Chinese universities from a think tank perspective," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    31. Giuri, Paola & Munari, Federico & Scandura, Alessandra & Toschi, Laura, 2019. "The strategic orientation of universities in knowledge transfer activities," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 261-278.
    32. Xiong, Xi & Yang, Guo-liang & Zhou, De-qun & Wang, Zi-long, 2022. "How to allocate multi-period research resources? Centralized resource allocation for public universities in China using a parallel DEA-based approach," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    33. Wu, Jie & Chu, Junfei & Sun, Jiasen & Zhu, Qingyuan, 2016. "DEA cross-efficiency evaluation based on Pareto improvement," European Journal of Operational Research, Elsevier, vol. 248(2), pages 571-579.
    34. Chen, Xiafei & Liu, Zhiying & Zhu, Qingyuan, 2020. "Reprint of "Performance evaluation of China's high-tech innovation process :Analysis based on the innovation value chain"," Technovation, Elsevier, vol. 94.
    35. Degl’Innocenti, Marta & Matousek, Roman & Tzeremes, Nickolaos G., 2019. "The interconnections of academic research and universities’ “third mission”: Evidence from the UK," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    36. Marie-Laure Bougnol & José Dulá, 2006. "Validating DEA as a ranking tool: An application of DEA to assess performance in higher education," Annals of Operations Research, Springer, vol. 145(1), pages 339-365, July.
    37. De Noni, Ivan & Orsi, Luigi & Belussi, Fiorenza, 2018. "The role of collaborative networks in supporting the innovation performances of lagging-behind European regions," Research Policy, Elsevier, vol. 47(1), pages 1-13.
    38. Nugent, Annita & Chan, Ho Fai, 2023. "Outsourcing university research commercialization to a sophisticated technology transfer office: Evidence from Australian universities," Technovation, Elsevier, vol. 125(C).
    39. Wolszczak-Derlacz, Joanna, 2017. "An evaluation and explanation of (in)efficiency in higher education institutions in Europe and the U.S. with the application of two-stage semi-parametric DEA," Research Policy, Elsevier, vol. 46(9), pages 1595-1605.
    40. Good, Matthew & Knockaert, Mirjam & Soppe, Birthe & Wright, Mike, 2019. "The technology transfer ecosystem in academia. An organizational design perspective," Technovation, Elsevier, vol. 82, pages 35-50.
    41. Davtalab-Olyaie, Mostafa & Asgharian, Masoud, 2021. "On Pareto-optimality in the cross-efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 288(1), pages 247-257.
    42. Borah, Dhruba & Massini, Silvia & Malik, Khaleel, 2023. "Teaching benefits of multi-helix university-industry research collaborations: Towards a holistic framework," Research Policy, Elsevier, vol. 52(8).
    43. Li, Yongjun & Chen, Yao & Liang, Liang & Xie, Jianhui, 2012. "DEA models for extended two-stage network structures," Omega, Elsevier, vol. 40(5), pages 611-618.
    44. Cao, Qinwei & Li, Yi & Peng, Huatao, 2023. "From university basic research to firm innovation: diffusion mechanism and boundary conditions under a U-shaped relationship," Technovation, Elsevier, vol. 123(C).
    45. Compagnucci, Lorenzo & Spigarelli, Francesca, 2020. "The Third Mission of the university: A systematic literature review on potentials and constraints," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    46. Abreu, Maria & Grinevich, Vadim, 2013. "The nature of academic entrepreneurship in the UK: Widening the focus on entrepreneurial activities," Research Policy, Elsevier, vol. 42(2), pages 408-422.
    47. Shamohammadi, Mehdi & Oh, Dong-hyun, 2019. "Measuring the efficiency changes of private universities of Korea: A two-stage network data envelopment analysis," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    48. Kao, Chiang & Liu, Shiang-Tai, 2020. "A slacks-based measure model for calculating cross efficiency in data envelopment analysis," Omega, Elsevier, vol. 95(C).
    49. Son, Hosung & Chung, Yanghon & Yoon, Sangpil, 2022. "How can university technology holding companies bridge the Valley of Death? Evidence from Korea," Technovation, Elsevier, vol. 109(C).
    50. Berbegal-Mirabent, Jasmina & Lafuente, Esteban & Solé, Francesc, 2013. "The pursuit of knowledge transfer activities: An efficiency analysis of Spanish universities," Journal of Business Research, Elsevier, vol. 66(10), pages 2051-2059.
    51. Chang, Tsung-Sheng & Lin, Ji-Gang & Ouenniche, Jamal, 2023. "DEA-based Nash bargaining approach to merger target selection," European Journal of Operational Research, Elsevier, vol. 305(2), pages 930-945.
    52. See, Kok Fong & Ma, Zhanxin & Tian, Yuzhen, 2023. "Examining the efficiency of regional university technology transfer in China: A mixed-integer generalized data envelopment analysis framework," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
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