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Follow Suit: Imitative governance, resource inclination, and regional innovation efficiency

Author

Listed:
  • Shutter Zor

    (School of Accountancy, Wuhan Textile University, Wuhan, China)

  • Jingru Chen

    (School of Economics, University of Bristol, Bristol, UK)

  • Jietie Ailimujiang

    (Moscow School of Economics, Lomonosov Moscow State University, Moscow, Russia)

  • Fayao Wang

    (Institute for Advanced Studies, University of Malaya, Kuala Lumpur, Malaysia)

Abstract

Influenced by traditional notions of solidarity, when a province’s planning can be highly aligned with that of the central government, the province is perceived to be more collective and thus able to receive financial or resource favors from the central government. This consistency, as is often the case, reflected in doing the same thing as the central government. This situation may lead governors to ignore local economic performance and thus reduce regional innovation efficiency, as in the case of China’s Great Leap Forward. Likewise, it is possible to get better resources (energy or capital) by demonstrating managerial submissiveness, thus improving the regional innovation efficiency. Therefore, to verify the relationship between imitative governance and regional innovation efficiency, we collected relevant data from 31 major provincial administrative units in China, calculated the degree of imitative governance between provincial government work reports and central government work reports through text similarity, as well as utilized the SBM-DEA model to evaluate regional innovation efficiency. Meanwhile, we provide a new explanation of the phenomenon from the perspective of resource inclination. Finally, the empirical results show that imitative governance promotes local innovation efficiency and is moderated by resource inclination.

Suggested Citation

  • Shutter Zor & Jingru Chen & Jietie Ailimujiang & Fayao Wang, 2023. "Follow Suit: Imitative governance, resource inclination, and regional innovation efficiency," Review of Economic Assessment, Anser Press, vol. 2(1), pages 25-39, April.
    • Handle: RePEc:bba:j00010:v:2:y:2023:i:1:p:25-39:d:146
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    1. Cheng, Zhen & Ding, Chante Jian & Zhao, Kunqian, 2025. "Energy use rights trading and carbon emissions," Energy, Elsevier, vol. 315(C).

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