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Functional or selective policy? - Research on the relationship between government intervention and enterprise innovation in China

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  • Liu, Taoxiong
  • Yan, Wenwen
  • Zhang, Yadi

Abstract

Innovation is an important driving force for achieving high-quality economic development. Low-quality innovation has strong imitation characteristics and is more dependent on external resource support. Therefore, functional government policy, as a more market-friendly policy, will promote innovation output of high-quality innovation enterprises to a greater extent, while selective government policy is the opposite. Based on the panel data regression of the data of Chinese listed companies from 2009 to 2020, this paper studies the relationship between listed enterprises' innovation output, innovation quality, and government's functional and selective policies. The findings indicate that functional policies have a stronger promotion effect on the innovation output of enterprises engaged in high-quality innovation activities, and this effect is prominent in the more basic and broader coverage of policies. It is also found that the promotion effect of selective policies on the innovation output of enterprises engaged in high-quality innovation activities will be weakened, and this effect is prominent in the more selective policies. This result is more prominent in south China, non-state-owned enterprises and high-tech industries by expanding the discussion of enterprises with different regions, enterprise attributes and industry technology attributes.

Suggested Citation

  • Liu, Taoxiong & Yan, Wenwen & Zhang, Yadi, 2023. "Functional or selective policy? - Research on the relationship between government intervention and enterprise innovation in China," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 82-96.
    • Handle: RePEc:eee:reveco:v:86:y:2023:i:c:p:82-96
    DOI: 10.1016/j.iref.2023.03.012
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    References listed on IDEAS

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    1. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    2. Nils Karlson & Christian Sandström & Karl Wennberg, 2021. "Bureaucrats or Markets in Innovation Policy? – a critique of the entrepreneurial state," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 34(1), pages 81-95, March.
    3. Maria Parisi & Alessandro Sembenelli, 2003. "Is Private R & D Spending Sensitive to Its Price? Empirical Evidence on Panel Data for Italy," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 30(4), pages 357-377, December.
    4. Wang, Jue, 2018. "Innovation and government intervention: A comparison of Singapore and Hong Kong," Research Policy, Elsevier, vol. 47(2), pages 399-412.
    5. Carpenter, Mark P. & Narin, Francis & Woolf, Patricia, 1981. "Citation rates to technologically important patents," World Patent Information, Elsevier, vol. 3(4), pages 160-163, October.
    6. Chiara Binelli & Alessandro Maffioli, 2007. "A Micro-econometric Analysis of Public Support to Private R&D in Argentina," International Review of Applied Economics, Taylor & Francis Journals, vol. 21(3), pages 339-359.
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    Cited by:

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    4. Jinqi Chen & Lingying Pan, 2024. "Impact of the Coupling Coordination Degree of Human Capital and Infrastructure on High-Quality Economic Development: Empirical Evidence from Chinese Cities," Sustainability, MDPI, vol. 16(20), pages 1-24, October.
    5. Ge, Tao & Hao, Zixuan & Chen, Yuan & Chen, Zhanbo, 2024. "Energy intensity constraints and corporate investment strategies: Evidence from Chinese listed enterprises," Finance Research Letters, Elsevier, vol. 64(C).
    6. Bai, Hengrui & Huang, Lingyu & Wang, Ziqi, 2024. "Supply chain financing, digital financial inclusion and enterprise innovation: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 91(C).
    7. Xiangxia Liu & Shen Liu, 2024. "Green Technology Innovation, Capital-Factor Allocation, and Manufacturing-Export Resilience," Sustainability, MDPI, vol. 16(3), pages 1-20, February.
    8. Tang, Dapeng & Yu, Qian & Gebrehans, Mebrahtu Tesfagebreal & Wang, Lulu, 2023. "The asymmetric innovation effects of heterogeneous government subsidies: A new perspective from GDP target deviation," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    9. Meng, Bin & Lin, Zhipeng & Liu, Tao & Shi, Baofeng, 2024. "Political connection and corporate senior-care investment: Active investment or passive involvement?," Finance Research Letters, Elsevier, vol. 67(PA).

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