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The Opening of High-Speed Rail and Economic Growth: The Moderating Role of Government Efficiency and Innovation Environment

Author

Listed:
  • Mengmeng Su

    (School of Business, University of International Business and Economics, Beijing 100029, China)

  • Zijie Li

    (School of Business, University of International Business and Economics, Beijing 100029, China)

  • Yingying Su

    (School of Management, Harbin Institute of Technology, Harbin 150006, China)

  • Mengmeng Chang

    (School of Business, University of International Business and Economics, Beijing 100029, China)

  • Yiding Liu

    (School of Business, University of International Business and Economics, Beijing 100029, China)

Abstract

This paper selects the panel data of 297 cities in China from 2003 to 2017 and analyzes the effects of government efficiency and innovation environment on the relationship between high-speed rail opening and economic growth from the perspective of government competition pressure and information flow by using the approach of difference-in-differences (DID). The findings are as follows: first, the opening of high-speed rail has a significant promoting effect on regional economic growth; second, government efficiency has negative impact on the relationship between high-speed rail development and economic growth, while the innovation environment has positive impact on this relationship; third, the moderating effects of government efficiency and innovation environment exhibit regional heterogeneity. This paper provides a new perspective from the perspectives of government competition pressure and information flow for understanding the impact of high-speed rail on the economy, offering insights for promoting the coordinated and sustainable development of the Chinese economy.

Suggested Citation

  • Mengmeng Su & Zijie Li & Yingying Su & Mengmeng Chang & Yiding Liu, 2024. "The Opening of High-Speed Rail and Economic Growth: The Moderating Role of Government Efficiency and Innovation Environment," Sustainability, MDPI, vol. 16(2), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:543-:d:1315314
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    References listed on IDEAS

    as
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    4. Gabriel M Ahlfeldt & Arne Feddersen, 2018. "From periphery to core: measuring agglomeration effects using high-speed rail," Journal of Economic Geography, Oxford University Press, vol. 18(2), pages 355-390.
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    6. Daron Acemoglu & Jacob Moscona & James A. Robinson, 2016. "State Capacity and American Technology: Evidence from the Nineteenth Century," American Economic Review, American Economic Association, vol. 106(5), pages 61-67, May.
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    Cited by:

    1. Wu, Peng & Zhang, Qiong, 2026. "High-speed rail benchmark train, efficient allocation of factors and industrial transformation and upgrading ——Theoretical model analysis and empirical evidence from 288 cities in China," Transport Policy, Elsevier, vol. 179(C).

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