Abstract

This study analyzes the sustainable feasibility of major airports in China in terms of airport operational efficiency (AOE). As AOE should be measured by economic performance as well as qualitative service management such as delay rate abatement, our study uses a multi-input/output slack-based data envelopment analysis model. We find that the 37 major airports in China have very low AOE levels, with an average of 48.2% during the study period of 2016–2019, implying great potential to enhance their efficiency. Even though the AOE trend is increasing upwards, it is still very much behind in terms of global standards. Moreover, this upward trend may come from external factors in the commercially driven eastern region airports and politically supported western region airports, and the AOE gap with airports in the central region is becoming larger. This implies that most airports in China are not yet self-sustaining. There are two ways for these airports to enhance AOE: more investment in infrastructure, such as airport facilities, and management upgrades from peer-learning efforts. We examined the feasibility of these two optimal paths and found that there is no need for decreasing returns to scale, implying that most of the airports can improve their AOE through additional investment, except for the eight airports with constant returns to scale, such as Beijing and Guangzhou. Moreover, each of the individual airports should learn from the top benchmarking airports on the production frontier. This study emphasizes the role of qualitative service performance and concludes that customized, self-sustaining innovation is required for all of the 37 major airports in China.

Highlights

  • As the regional network economy due to global outsourcing and global supply chain management has become more popular, the regional cooperative manufacturing system has seriously promoted the important role of the aviation industry

  • As major airports lead the demand-driven economy of these regional networks, many of the world’s major countries have been actively developing regional hub airports, with airport expansions and modernization of facilities, seeking to attract passengers and cargo with better airport services [1]

  • We named this efficiency as airport operational efficiency (AOE), and it can be obtained from Equation (1)

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Summary

Introduction

As the regional network economy due to global outsourcing and global supply chain management has become more popular, the regional cooperative manufacturing system has seriously promoted the important role of the aviation industry. In the 11th Five-Year Plan (2006–2010), the focus was on hub-port upgrades in terms of facilities and advanced management skills, while the subsequent plan (2011–2015) promoted networking among the local airports. In order to answer this research question, we consider the ”appropriateness” of the future investment plan by the Chinese government as well as the technical catch-up promotion strategy based on the empirical results on both economic performance and service quality. The former is related to the appropriateness of the scale of investment, while the latter deals with the feasibility of benchmarking and peer-learning.

Literature Review and Theoretical Background
99 French airports
SBM-DEA
Efficiency Decomposition
Descriptive Statistics on Data
Airport Operational Efficiency and Rectified Efficiency
Airport Operational Efficiency Based on Regional Heterogeneity
Airport Operational Efficiency with Projection for Delay Rate
Decomposition of Efficiency and Benchmark Information
Findings
Conclusions
Full Text
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