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Scientific productivity paradox: The case of China's S&T system

Author

Listed:
  • Can Huang

    (Department of Economics, Management and Industrial Engineering, University of Aveiro, Campus Universitário de Santiago)

  • Celeste Amorim Varum

    (Department of Economics, Management and Industrial Engineering, University of Aveiro, Campus Universitário de Santiago)

  • Joaquim Borges Gouveia

    (Department of Economics, Management and Industrial Engineering, University of Aveiro, Campus Universitário de Santiago)

Abstract

Summary In 1985 China began the reform of its Science & Technology (S&T) sector inherited from the planned economy. To disclose the impact of the drawn-out reform on the efficiency of the whole sector, we measure the scientific productivity of China's S&T institutes. The analysis is based on R&D input and output data at the country aggregate and provincial level. We utilize Polynomial Distributed Lag model to uncover the structure of the lag between R&D input and output. The findings reveal that the growth rate of scientific productivity of China's S&T institutes has been negative since the 1990s.

Suggested Citation

  • Can Huang & Celeste Amorim Varum & Joaquim Borges Gouveia, 2006. "Scientific productivity paradox: The case of China's S&T system," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(2), pages 449-473, November.
    • Handle: RePEc:spr:scient:v:69:y:2006:i:2:d:10.1007_s11192-006-0153-6
    DOI: 10.1007/s11192-006-0153-6
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    Cited by:

    1. Antonio Fernández-Cano & Manuel Torralbo & Mónica Vallejo, 2012. "Time series of scientific growth in Spanish doctoral theses (1848–2009)," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 15-36, April.
    2. Seema Sharma & V. J. Thomas, 2008. "Inter-country R&D efficiency analysis: An application of data envelopment analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 483-501, September.
    3. Jiancheng Guan & Kaihua Chen, 2010. "Modeling macro-R&D production frontier performance: an application to Chinese province-level R&D," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 165-173, January.
    4. Aristovnik, Aleksander, 2014. "Efficiency of the R&D Sector in the EU-27 at the Regional Level: An Application of DEA," MPRA Paper 59081, University Library of Munich, Germany.

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