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The adjusted passenger transportation efficiency of nine airports in China with consideration of the impact of high-speed rail network development: A two-step DEA-OLS method

Author

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  • Wei, Ming
  • Zhang, Shaopeng
  • Liu, Tao
  • Sun, Bo

Abstract

This paper presents a two-step method combining data envelopment analysis (DEA) and an ordinary least squares (OLS) model to analyze the passenger transportation efficiency (PTE) of nine airports in the Beijing-Tianjin-Hebei region, China, and their evolution trends from 2008 to 2019. As the first step, taking the mileage of China's high-speed rail (HSR) as an external variable, a three-stage DEA was employed to obtain the adjusted airport's PTE after eliminating the impact of HSR. As the second step, a single-logarithmic OLS model was used to analyze the influence of the urban economic structure on deviations in airports' PTE before and after the adjustment, providing a clear and straightforward basis for formulating and testing policies. The essential findings included the following: (1) the development of HSR mainly inhibited the PTE of most airports due to their competition but also promoted PTE in a few airports for short periods due to their partnership; (2) various factors of the urban economic structure had different impacts on the adjusted airport's PTE and determined the trend over time.

Suggested Citation

  • Wei, Ming & Zhang, Shaopeng & Liu, Tao & Sun, Bo, 2023. "The adjusted passenger transportation efficiency of nine airports in China with consideration of the impact of high-speed rail network development: A two-step DEA-OLS method," Journal of Air Transport Management, Elsevier, vol. 109(C).
    • Handle: RePEc:eee:jaitra:v:109:y:2023:i:c:s0969699723000388
    DOI: 10.1016/j.jairtraman.2023.102395
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