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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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    1. Shulin Gu & Bengt-Åke Lundvall, 2006. "China's Innovation System and the Move Toward Harmonious Growth and Endogenous Innovation," DRUID Working Papers 06-07, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    2. Gao, Xia & Guan, Jiancheng, 2009. "A scale-independent analysis of the performance of the Chinese innovation system," Journal of Informetrics, Elsevier, vol. 3(4), pages 321-331.
    3. J Sylvan Katz, 2000. "Scale-independent indicators and research evaluation," Science and Public Policy, Oxford University Press, vol. 27(1), pages 23-36, February.
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    3. 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.
    4. 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.
    5. 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.
    6. Lakitan, Benyamin, 2013. "Connecting all the dots: Identifying the “actor level” challenges in establishing effective innovation system in Indonesia," Technology in Society, Elsevier, vol. 35(1), pages 41-54.
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    9. Congbo Chen & Azhong Ye, 2021. "Threshold Effect of the Internet on Regional Innovation in China," Sustainability, MDPI, vol. 13(19), pages 1-13, September.
    10. Kai Xu & Bart Bossink & Qiang Chen, 2019. "Efficiency Evaluation of Regional Sustainable Innovation in China: A Slack-Based Measure (SBM) Model with Undesirable Outputs," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
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