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Investigating the impact of spatial dependence and heterogeneity on airport relationships: Empirical evidence from China

Transportation

Investigating the impact of spatial dependence and heterogeneity on airport relationships: Empirical evidence from China

Z. Wu, P. Lai, et al.

This research conducted by Zhen Wu, Po-Lin Lai, Kuo-Chung Shang, and Mingjie Fang delves into the dynamics among 34 major airports in China, revealing how spatial dependence and geographic proximity shift relationships from complementarity to competition. It uncovers insights that emphasize the pivotal role of hub airports in enhancing network connectivity and efficiency.

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Playback language: English
Abstract
This research investigates the relationships among 34 major airports in China, analyzing how spatial dependence and heterogeneity influence these relationships. Using a spatial econometric model, it finds a mutually driven aggregation effect in passenger traffic. The relationship shifts from complementarity to competition as geographic distance decreases. The study classifies airports into three hierarchical levels, revealing complementarity between regional trunk and local branch airports, and competition among hub airports. The absence of a hub airport weakens collaboration, highlighting hub airports' importance for network connectivity and efficiency.
Publisher
HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS
Published On
May 21, 2024
Authors
Zhen Wu, Po-Lin Lai, Kuo-Chung Shang, Mingjie Fang
Tags
airports
passenger traffic
spatial econometrics
complementarity
competition
hub airports
network connectivity
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