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The Chinese innovation system during economic transition: A scale-independent view

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Listed:
  • Gao, Xia
  • Guo, Xiaochuan
  • Sylvan, Katz J.
  • Guan, Jiancheng

Abstract

This paper uses scale-independent indicators to explore the Chinese national and regional innovation systems during economic transition. Our perception of an innovation system is frequently informed by conventional indicators based on linear assumptions while actually innovation systems may behave differently. Scale-independent indicators characterize non-linear properties of an innovation system. They can give decision makers deeper insight into the dynamics of innovation systems, and they may lead to more practical public policies [Katz, J. S. (2006). Indicators for complex innovation systems. Research Policy, 35, 893–909].

Suggested Citation

  • Gao, Xia & Guo, Xiaochuan & Sylvan, Katz J. & Guan, Jiancheng, 2010. "The Chinese innovation system during economic transition: A scale-independent view," Journal of Informetrics, Elsevier, vol. 4(4), pages 618-628.
    • Handle: RePEc:eee:infome:v:4:y:2010:i:4:p:618-628
    DOI: 10.1016/j.joi.2010.07.001
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    References listed on IDEAS

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    4. Török, Ádám & Csuka, Gyöngyi, 2014. "Magyarország a nemzetközi innovációs versenyben az EU-csatlakozás után [Hungary s relative R+D+I performance in the EU - 10 years after its accession]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 509-526.
    5. Sylvan Katz, 2012. "Science Policy, Complex Innovation Systems and Performance Measures," SPRU Working Paper Series 198, SPRU - Science Policy Research Unit, University of Sussex Business School.
    6. Yuandi Wang & Xin Pan & Xinyu Wang & Jin Chen & Lutao Ning & Ying Qin, 2014. "Visualizing knowledge space: a case study of Chinese licensed technology, 2000–2012," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1935-1954, March.
    7. Monica Plechero & Cristina Chaminade, 2016. "The role of regional sectoral specialisation on the geography of innovation networks: a comparison between firms located in regions in developed and emerging economies," International Journal of Technological Learning, Innovation and Development, Inderscience Enterprises Ltd, vol. 8(2), pages 148-171.
    8. Csomós, György, 2018. "Reprint of “A spatial scientometric analysis of the publication output of cities worldwide”," Journal of Informetrics, Elsevier, vol. 12(2), pages 547-566.
    9. Yuandi Wang & Xin Pan & Lutao Ning & Jian Li & Jin Chen, 2015. "Technology exchange patterns in China: an analysis of regional data," The Journal of Technology Transfer, Springer, vol. 40(2), pages 252-272, April.
    10. Congbo Chen & Azhong Ye, 2021. "Threshold Effect of the Internet on Regional Innovation in China," Sustainability, MDPI, vol. 13(19), pages 1-13, September.
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    13. Zhigang Hu & Fangqi Guo & Haiyan Hou, 2017. "Mapping research spotlights for different regions in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 779-790, February.

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