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Categorical Evaluation of Scientific Research Efficiency in Chinese Universities: Basic and Applied Research

Author

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  • Yukun Shi

    (School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China)

  • Duchun Wang

    (School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
    School of Continuing Education, Northeast Agricultural University, Harbin 150030, China)

  • Zimeng Zhang

    (School of Environment, Harbin Institute of Technology, Harbin 150030, China)

Abstract

The categorical evaluation of scientific research efficiency is of great significance to technological innovation and research management. It is also helpful to promote the sustainable development of basic research and applied research in universities. In this study, 32 “Double First-Class” universities directly under the Ministry of Education in China were evaluated with the research efficiency evaluation system of basic research and applied research used, which is constructed based on the “research efficiency classification evaluation”. The empirical results show that the efficiency of basic research is low but total factor productivity grows faster, while the efficiency of applied research is high but total factor productivity grows slowly, and the gap between the two will be further reduced in the future. At the same time, scientific research efficiency depends on the type of university and disciplinary strengths: Comprehensive and normal universities are good at basic research while scientific and agricultural and forestry universities are more efficient in applied research. Universities should consolidate their strengths while making key breakthroughs on their shortcomings, optimize the structure of research inputs and outputs, and improve the efficiency of research resources utilization to actively promote the national innovation system and the construction of a powerful nation of science and technology.

Suggested Citation

  • Yukun Shi & Duchun Wang & Zimeng Zhang, 2022. "Categorical Evaluation of Scientific Research Efficiency in Chinese Universities: Basic and Applied Research," Sustainability, MDPI, vol. 14(8), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4402-:d:788983
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    as
    1. Alice Bertoletti & Geraint Johnes, 2021. "Efficiency in university-industry collaboration: an analysis of UK higher education institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7679-7714, September.
    2. 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.
    3. Wuzhao Xue & Hua Li & Rizwan Ali & Ramiz ur Rehman & Gonzalo Fernández-Sánchez, 2021. "Assessing the Static and Dynamic Efficiency of Scientific Research of HEIs China: Three Stage DEA–Malmquist Index Approach," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    4. Gerhard Kempkes & Carsten Pohl, 2010. "The efficiency of German universities-some evidence from nonparametric and parametric methods," Applied Economics, Taylor & Francis Journals, vol. 42(16), pages 2063-2079.
    5. Bin Zheng & Wenfeng Chen & Hui Zhao, 2021. "The Spatial and Temporal Characteristics of Industry–University Research Collaboration Efficiency in Chinese Mainland Universities," Sustainability, MDPI, vol. 13(23), pages 1-13, November.
    6. Hao Cai & Ling Liang & Jing Tang & Qianxian Wang & Lihong Wei & Jiaping Xie, 2019. "An Empirical Study on the Efficiency and Influencing Factors of the Photovoltaic Industry in China and an Analysis of Its Influencing Factors," Sustainability, MDPI, vol. 11(23), pages 1-22, November.
    7. Johnes, Jill, 2006. "Data envelopment analysis and its application to the measurement of efficiency in higher education," Economics of Education Review, Elsevier, vol. 25(3), pages 273-288, June.
    8. Xiong, Xi & Yang, Guo-liang & Guan, Zhong-cheng, 2018. "Assessing R&D efficiency using a two-stage dynamic DEA model: A case study of research institutes in the Chinese Academy of Sciences," Journal of Informetrics, Elsevier, vol. 12(3), pages 784-805.
    9. Avkiran, Necmi K., 2001. "Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 35(1), pages 57-80, March.
    10. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    11. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    12. Xianmei Wang & Hanhui Hu, 2017. "Sustainable Evaluation of Social Science Research in Higher Education Institutions Based on Data Envelopment Analysis," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    13. 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.
    14. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    15. 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.
    16. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2011. "A field-standardized application of DEA to national-scale research assessment of universities," Journal of Informetrics, Elsevier, vol. 5(4), pages 618-628.
    17. 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).
    18. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
    19. Zhong, Wei & Yuan, Wei & Li, Susan X. & Huang, Zhimin, 2011. "The performance evaluation of regional R&D investments in China: An application of DEA based on the first official China economic census data," Omega, Elsevier, vol. 39(4), pages 447-455, August.
    20. Johannes Sauer & Catherine J. Morrison Paul, 2013. "The empirical identification of heterogeneous technologies and technical change," Applied Economics, Taylor & Francis Journals, vol. 45(11), pages 1461-1479, April.
    21. Jesús Pastor & C. Lovell, 2007. "Circularity of the Malmquist productivity index," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 33(3), pages 591-599, December.
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    3. Shengbo Liu & Xiaoting Luo & Miaomiao Liu, 2023. "Was Chinese “Double-First Class” Construction Policy Influential? Analysis Using Propensity Score Matching," Sustainability, MDPI, vol. 15(8), pages 1-13, April.

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