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Evaluation of government‐supported provincial innovation competitiveness—Evidence from China

Author

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  • Peng Wang
  • Xiaoyan Lin
  • Shuoshuo Li

Abstract

Government support plays a crucial role in enhancing regional innovation capabilities and creating distinctive innovation clusters. Using the innovation competitiveness indicators of the 31 provinces in China, this paper examines the provincial government collaboration and innovation competitiveness values through Super‐SBM data envelopment analysis and analytic hierarchy process. Then, the particle swarm optimization (PSO) algorithm is employed to relate government collaboration to innovation competition and cooperation among provinces in hope of exploring the developmental trends of innovation cluster optimization. Research findings show that only 25.8% of the provincial government support proves effective for regional innovation, and the competitiveness values of the provinces are generally low and need to be improved. By incorporating the role of government support into the innovation competition and cooperation among provinces, there has been a tendency of innovation activities clustering in innovative regions and three major clusters have formed. The trend of clustering will continue to evolve outwards so that the overall innovation level of China would be enhanced.

Suggested Citation

  • Peng Wang & Xiaoyan Lin & Shuoshuo Li, 2019. "Evaluation of government‐supported provincial innovation competitiveness—Evidence from China," Growth and Change, Wiley Blackwell, vol. 50(2), pages 587-608, June.
    • Handle: RePEc:bla:growch:v:50:y:2019:i:2:p:587-608
    DOI: 10.1111/grow.12293
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    Cited by:

    1. Jugend, Daniel & Fiorini, Paula De Camargo & Armellini, Fabiano & Ferrari, Aline Gabriela, 2020. "Public support for innovation: A systematic review of the literature and implications for open innovation," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    2. Yang, Bofei & Zhu, Shengjun, 2022. "Public funds in high-tech industries: A blessing or a curse," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).

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