Economic Efficiency Measurement of Guangzhou Airport based on Stochastic Frontier Analysis Model

DOI

10.2991/bems-19.2019.115How to use a DOI?

Keywords

Stochastic Frontier Analysis; Guangzhou; Airport Economy; Economic Efficiency.

Abstract

With the continuous development of economic globalization, airport economy has gradually become one of the mainstream forms of global economic development. Airport economy not only plays an important part in optimizing the structure of urban development and economic transformation, but also plays a major role in the rational exploitation of the urban landscape resources and the adjustment of mechanisms’ relationship. However, in the development process of the airport economy, the theoretical scholars and practitioners have not systematically combed through its development efficiency and influencing factors, which leads to the development orientation of the airport economy being out of focus. In this paper, the stochastic frontier analysis model is used to analyze the economic efficiency of Guangzhou Airport. Based on the panel data of Guangzhou Airport, this paper applies the stochastic frontier model of simultaneous equations to analyze the economic efficiency of Guangzhou Airport and its influencing factors. Finally, it is concluded that the construction of airport infrastructure, the regional geographical location, the level of regional economic development, and regional science and technology education all affect the economic efficiency of Guangzhou Airport.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Zehua Zhang
AU  - Jing Yang
AU  - Yuteng Wan
AU  - Runjiao Pan
AU  - Mo Kuang
PY  - 2019/05
DA  - 2019/05
TI  - Economic Efficiency Measurement of Guangzhou Airport based on Stochastic Frontier Analysis Model
BT  - Proceedings of the 1st International Conference on Business, Economics, Management Science (BEMS 2019)
PB  - Atlantis Press
SP  - 649
EP  - 656
SN  - 2352-5428
UR  - https://doi.org/10.2991/bems-19.2019.115
DO  - 10.2991/bems-19.2019.115
ID  - Zhang2019/05
ER  -