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Governance and the China innovation economy

Author

Listed:
  • Yongda Yu

    (Tsinghua University)

  • Junbo Yu

    (Jilin University)

  • Xinglin Pan

    (Tsinghua University
    University of Pennsylvania)

  • Roger Stough

    (George Mason University)

Abstract

This paper argues that China after decades of investment into creating self-innovation capacity with little success is finally making some significant progress. The evidence for this ranges from multiple technology companies entering the top ten lists globally to growing success of innovation output from some of its innovation centers. The recent evolution of this change demonstrates that China is beginning to move away from total dependence on imitation innovation as the basis of its manufacturing- and service-based economies. It is argued that a three-pronged model of governance after the work of David Bell along with a single-party political leadership system has contributed to this recent development.

Suggested Citation

  • Yongda Yu & Junbo Yu & Xinglin Pan & Roger Stough, 2017. "Governance and the China innovation economy," Asia-Pacific Journal of Regional Science, Springer, vol. 1(1), pages 63-84, April.
    • Handle: RePEc:spr:apjors:v:1:y:2017:i:1:d:10.1007_s41685-017-0013-9
    DOI: 10.1007/s41685-017-0013-9
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    References listed on IDEAS

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    Cited by:

    1. Narasingha P. Sil, 2017. "The Analect and the ArthaÅ›Ä strsa: Kongzi of Zhou China and Kauá¹­ilya of Maurya India Compared," SAGE Open, , vol. 7(4), pages 21582440177, December.
    2. Hsieh, Tien-Shih & Kim, Jeong-Bon & Wang, Ray R. & Wang, Zhihong, 2022. "Educate to innovate: STEM directors and corporate innovation," Journal of Business Research, Elsevier, vol. 138(C), pages 229-238.
    3. João Romão & Peter Nijkamp, 2017. "Special issue on innovation and ecology: regional science perspectives on spatial systems," Asia-Pacific Journal of Regional Science, Springer, vol. 1(1), pages 49-52, April.
    4. Li Xiang & Hu Xuemei & Yang Junwen, 2023. "Regularized Poisson regressions predict regional innovation output," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2197-2216, December.

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