Research on Operating Efficiency of Civil Airports in China

Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science Pub Date : 2022-12-29 DOI:10.1145/3584748.3584804

Xiao-ran Hu

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Abstract

In this paper, the DEA-Malmquist model is used to evaluate static and dynamic efficiency of 30 civil airports in China from 2016 to 2021. The developments of airports in different regions are discussed from these aspects: the impact of local government policies and COVID-19 on changes of airports’ total factor productivity, and differences in operating efficiency of airports in different regions. The results show that: there are great differences in the operating efficiency of airports in China, and the low pure technical efficiency is the main reason leading to the low technological efficiency. The stagnation of total factor productivity of Chinese airports is mainly influenced by technological progress, and its negative effect drags down the stable technical efficiency and scale efficiency. There are obvious differences in operating efficiency among different regions. Airports in the Yangtze River Delta and Pearl River Delta have the highest efficiency, the Chengdu-Chongqing region has the fastest development, and the northeast region has the slowest development and the lowest operating efficiency.

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中国民用机场运营效率研究

本文采用DEA-Malmquist模型对2016 - 2021年中国30个民用机场的静态和动态效率进行了评估。从地方政府政策和新冠疫情对机场全要素生产率变化的影响、不同地区机场运行效率的差异等方面探讨不同地区机场的发展。研究结果表明:中国各机场运营效率存在较大差异，纯技术效率低是导致技术效率低的主要原因。中国机场全要素生产率停滞主要受技术进步的影响，其负面效应拖累了稳定的技术效率和规模效率。不同地区的运营效率存在明显差异。长三角和珠三角地区机场效率最高，成渝地区机场发展最快，东北地区机场发展最慢，运营效率最低。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science

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