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

Jianwei Shi, Tongyuan Bai, Zhihong Zhao*, Huachun Tan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Article number4283
JournalSustainability (Switzerland)
Volume16
Issue number10
DOIs
Publication statusPublished - May 2024

Keywords

  • econometrics
  • economic development
  • preprocessing methods
  • statistical testings
  • transportation infrastructure

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