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Driving Economic Growth through Transportation Infrastructure: An In-Depth Spatial Econometric Analysis

Author

Listed:
  • Jianwei Shi

    (School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China)

  • Tongyuan Bai

    (Faculty of Science and Technology, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai 519087, China)

  • Zhihong Zhao

    (School of Applied Science and Civil Engineering, Beijing Institute of Technology (Zhuhai), Zhuhai 519085, China)

  • Huachun Tan

    (Advanced Research Institute of Multidisciplineary Sciences, Beijing Institute of Technology, Beijing 100081, China)

Abstract

This research investigates the crucial role of transportation infrastructure in influencing economic activity, thus employing advanced econometric methods including Moran’s I index, LM, Hausman, and LR tests to ensure analytical accuracy and select the appropriate spatial model. Our findings reveal that freight volumes across road, waterway, and civil aviation significantly enhance economic activity by bolstering domestic trade, industrial production, and supply chains. Conversely, the impact of passenger turnover is comparatively minor, although it still contributes to labor mobility and urban accessibility. This study highlights the need for strategic investment in transportation infrastructure and efficient public transport systems to foster economic growth and sustainable development. We recommend that policymakers focus on optimizing transportation networks and integrating intelligent transport technologies to boost economic competitiveness and societal well-being. This analysis not only sheds light on the direct economic impacts of transportation but also underscores the broader social implications, thus advocating for a holistic approach to transportation planning and policymaking.

Suggested Citation

  • Jianwei Shi & Tongyuan Bai & Zhihong Zhao & Huachun Tan, 2024. "Driving Economic Growth through Transportation Infrastructure: An In-Depth Spatial Econometric Analysis," Sustainability, MDPI, vol. 16(10), pages 1-18, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:4283-:d:1397622
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    References listed on IDEAS

    as
    1. Engle, Robert F., 1984. "Wald, likelihood ratio, and Lagrange multiplier tests in econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 13, pages 775-826, Elsevier.
    2. Saidi, Samir & Shahbaz, Muhammad & Akhtar, Pervaiz, 2018. "The long-run relationships between transport energy consumption, transport infrastructure, and economic growth in MENA countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 78-95.
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    Cited by:

    1. Forouhar, Amir & Chapple, Karen & Pokharel, Ramesh & Allen, Jeff, 2025. "Transit-driven resilience: Unraveling post-COVID-19 urban recovery dynamics," Journal of Transport Geography, Elsevier, vol. 128(C).
    2. Fan Yang & Yunlan Tang & Suwen Xiong & Chuntian Gu & Yadan Xiao, 2024. "Development of Highway Construction Route Selection Based on Ecological Sensitivity Evaluation and Intervention Optimization Strategy Research," Land, MDPI, vol. 13(11), pages 1-24, November.

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