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.
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