Determining Spatial Relationships between Airports and Local Economy from Competitiveness Perspective: A Case Study of Airports in China
The intent of this research is to present an investigation into whether spatial relationships in China’s airports are primarily characterised by competition or complementarity; accordingly, this is approached from the perspectives of passenger and cargo traffic. This research also focused on two iss...
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MDPI AG
2023-02-01
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Series: | Aerospace |
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Online Access: | https://www.mdpi.com/2226-4310/10/2/138 |
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author | Zhen Wu Po-Lin Lai Fei Ma Keun-Sik Park Suthep Nimsai |
author_facet | Zhen Wu Po-Lin Lai Fei Ma Keun-Sik Park Suthep Nimsai |
author_sort | Zhen Wu |
collection | DOAJ |
description | The intent of this research is to present an investigation into whether spatial relationships in China’s airports are primarily characterised by competition or complementarity; accordingly, this is approached from the perspectives of passenger and cargo traffic. This research also focused on two issues: The first is the spatial Durbin model (SDM), which is used to judge the competition or complementarity among airports with spatial dependence as an indicator. Second, considering that airport activities may be affected by neighbouring cities due to the externality of economic development, the spillover effects of different geo-economic factors at the city level are calculated. Through the utilisation of a spatial Durbin model and yearly airport traffic data for 34 Chinese airports between 2007 and 2019, it was found that the nature of spatial relationships tends to differ regarding passengers and cargo traffic. Concerning passenger traffic, airports in China are mainly characterised by complementarity and are competitive regarding cargo traffic. This study also indicates that the geo-economic factors of central cities (Beijing, Shanghai, and Guangzhou) can affect the spatial relationship between China’s airports. China’s airports are more dependent on the economic development of central cities, and therefore more dependent on the traffic replenishment at China’s hub airports. In addition, the validity of the asymmetrical economic weight matrix illustrates that after controlling the exogenous interaction effects between the independent variables and dependent variables, the difference of regional economic development and airport traffic does lead to endogenous interaction effects among China’s airports. |
first_indexed | 2024-03-11T09:18:55Z |
format | Article |
id | doaj.art-6158d634b54741f1b54341ab96b0b71f |
institution | Directory Open Access Journal |
issn | 2226-4310 |
language | English |
last_indexed | 2024-03-11T09:18:55Z |
publishDate | 2023-02-01 |
publisher | MDPI AG |
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series | Aerospace |
spelling | doaj.art-6158d634b54741f1b54341ab96b0b71f2023-11-16T18:27:07ZengMDPI AGAerospace2226-43102023-02-0110213810.3390/aerospace10020138Determining Spatial Relationships between Airports and Local Economy from Competitiveness Perspective: A Case Study of Airports in ChinaZhen Wu0Po-Lin Lai1Fei Ma2Keun-Sik Park3Suthep Nimsai4Department of Business Administration, Honam University, Gwangju 62399, Republic of KoreaDepartment of International Logistics, College of Business and Economics, Chung-Ang University, Seoul 06974, Republic of KoreaSchool of Economics and Management, Chang’an University, Xi’an 710064, ChinaDepartment of International Logistics, College of Business and Economics, Chung-Ang University, Seoul 06974, Republic of KoreaCollege of Management, Mahidol University, Bangkok 10400, ThailandThe intent of this research is to present an investigation into whether spatial relationships in China’s airports are primarily characterised by competition or complementarity; accordingly, this is approached from the perspectives of passenger and cargo traffic. This research also focused on two issues: The first is the spatial Durbin model (SDM), which is used to judge the competition or complementarity among airports with spatial dependence as an indicator. Second, considering that airport activities may be affected by neighbouring cities due to the externality of economic development, the spillover effects of different geo-economic factors at the city level are calculated. Through the utilisation of a spatial Durbin model and yearly airport traffic data for 34 Chinese airports between 2007 and 2019, it was found that the nature of spatial relationships tends to differ regarding passengers and cargo traffic. Concerning passenger traffic, airports in China are mainly characterised by complementarity and are competitive regarding cargo traffic. This study also indicates that the geo-economic factors of central cities (Beijing, Shanghai, and Guangzhou) can affect the spatial relationship between China’s airports. China’s airports are more dependent on the economic development of central cities, and therefore more dependent on the traffic replenishment at China’s hub airports. In addition, the validity of the asymmetrical economic weight matrix illustrates that after controlling the exogenous interaction effects between the independent variables and dependent variables, the difference of regional economic development and airport traffic does lead to endogenous interaction effects among China’s airports.https://www.mdpi.com/2226-4310/10/2/138airportsChinaspatial Durbin modelspillover effect analysisurban economics |
spellingShingle | Zhen Wu Po-Lin Lai Fei Ma Keun-Sik Park Suthep Nimsai Determining Spatial Relationships between Airports and Local Economy from Competitiveness Perspective: A Case Study of Airports in China Aerospace airports China spatial Durbin model spillover effect analysis urban economics |
title | Determining Spatial Relationships between Airports and Local Economy from Competitiveness Perspective: A Case Study of Airports in China |
title_full | Determining Spatial Relationships between Airports and Local Economy from Competitiveness Perspective: A Case Study of Airports in China |
title_fullStr | Determining Spatial Relationships between Airports and Local Economy from Competitiveness Perspective: A Case Study of Airports in China |
title_full_unstemmed | Determining Spatial Relationships between Airports and Local Economy from Competitiveness Perspective: A Case Study of Airports in China |
title_short | Determining Spatial Relationships between Airports and Local Economy from Competitiveness Perspective: A Case Study of Airports in China |
title_sort | determining spatial relationships between airports and local economy from competitiveness perspective a case study of airports in china |
topic | airports China spatial Durbin model spillover effect analysis urban economics |
url | https://www.mdpi.com/2226-4310/10/2/138 |
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