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Performance impact of research policy at the Chinese Academy of Sciences

Author

Listed:
  • Zhang, Daqun
  • Banker, Rajiv D.
  • Li, Xiaoxuan
  • Liu, Wenbin

Abstract

We present evidence on productivity improvement experienced by the research institutes of the Chinese Academy of Sciences (CAS) after its implementation of the Knowledge Innovation Program (KIP). Using a balanced panel of data on R&D inputs and outputs of 59 research institutes in CAS, we analyze the productivity, technological and efficiency changes from 1997 to 2005. We document that the CAS research institutes have a productivity growth of 12.5% from 1998 to 2005, which can be further decomposed into 8.8% attributed to technological progress and 3.3% to efficiency improvement. Results of regional analysis show that institutes in Beijing and Shanghai, performed better than institutes in other regions during the same period.

Suggested Citation

  • Zhang, Daqun & Banker, Rajiv D. & Li, Xiaoxuan & Liu, Wenbin, 2011. "Performance impact of research policy at the Chinese Academy of Sciences," Research Policy, Elsevier, vol. 40(6), pages 875-885, July.
  • Handle: RePEc:eee:respol:v:40:y:2011:i:6:p:875-885
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    References listed on IDEAS

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    1. Johnes, Jill & Yu, Li, 2008. "Measuring the research performance of Chinese higher education institutions using data envelopment analysis," China Economic Review, Elsevier, vol. 19(4), pages 679-696, December.
    2. Rajiv D. Banker & Hsihui Chang & Ram Natarajan, 2005. "Productivity Change, Technical Progress, and Relative Efficiency Change in the Public Accounting Industry," Management Science, INFORMS, vol. 51(2), pages 291-304, February.
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    4. Johnes, Jill & Johnes, Geraint, 1995. "Research funding and performance in U.K. University Departments of Economics: A frontier analysis," Economics of Education Review, Elsevier, vol. 14(3), pages 301-314, September.
    5. Colin Glass, J. & McCallion, Gillian & McKillop, Donal G. & Rasaratnam, Syamarlah & Stringer, Karl S., 2006. "Implications of variant efficiency measures for policy evaluations in UK higher education," Socio-Economic Planning Sciences, Elsevier, vol. 40(2), pages 119-142, June.
    6. 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.
    7. Korhonen, Pekka & Tainio, Risto & Wallenius, Jyrki, 2001. "Value efficiency analysis of academic research," European Journal of Operational Research, Elsevier, vol. 130(1), pages 121-132, April.
    8. 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.
    9. James Adams & Zvi Griliches, 1996. "Measuring Science: An Exploration," Harvard Institute of Economic Research Working Papers 1749, Harvard - Institute of Economic Research.
    10. Kao, Chiang & Hung, Hsi-Tai, 2008. "Efficiency analysis of university departments: An empirical study," Omega, Elsevier, vol. 36(4), pages 653-664, August.
    11. 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.
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    Citations

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    Cited by:

    1. Wang, Yuandi & Zhou, Zhao, 2013. "The dual role of local sites in assisting firms with developing technological capabilities: Evidence from China," International Business Review, Elsevier, vol. 22(1), pages 63-76.
    2. Karaulova, Maria & Shackleton, Oliver & Liu, Weishu & Gök, Abdullah & Shapira, Philip, 2017. "Institutional change and innovation system transformation: A tale of two academies," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 196-207.
    3. Zhang, Han & Patton, Donald & Kenney, Martin, 2013. "Building global-class universities: Assessing the impact of the 985 Project," Research Policy, Elsevier, vol. 42(3), pages 765-775.
    4. Yang, Guo-liang & Rousseau, Ronald & Yang, Li-ying & Liu, Wen-bin, 2014. "A study on directional returns to scale," Journal of Informetrics, Elsevier, vol. 8(3), pages 628-641.
    5. repec:spr:scient:v:90:y:2012:i:2:d:10.1007_s11192-011-0544-1 is not listed on IDEAS
    6. Shahid Yusuf, 2012. "From Technological Catch-up to Innovation : The Future of China’s GDP Growth," World Bank Other Operational Studies 12781, The World Bank.
    7. repec:eee:infome:v:12:y:2018:i:1:p:10-30 is not listed on IDEAS
    8. Torben Schubert & Guoliang Yang, 2016. "Institutional change and the optimal size of universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1129-1153, September.
    9. repec:spr:scient:v:102:y:2015:i:3:d:10.1007_s11192-014-1502-5 is not listed on IDEAS
    10. Yi Zhang & Kaihua Chen & Guilong Zhu & Richard C. M. Yam & Jiancheng Guan, 2016. "Inter-organizational scientific collaborations and policy effects: an ego-network evolutionary perspective of the Chinese Academy of Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1383-1415, September.

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