Dynamic mechanisms of air logistics driving regional economic development in inland mountainous areas: An exploration of key factors and their multifaceted impacts

Due to the unique terrain features, industrial requirements, and geographical positioning of inland mountainous areas, air logistics serves as a crucial catalyst for regional economic development. However, it encounters distinct development challenges and limited financial resources, making the optimization of fund allocation and the creation of endogenous growth dynamics significant. This study aims to establish a new theoretical framework and research tool for simulating policy effects and providing recommendations for these specific areas. An air logistics-regional economy (AL&RE) system framework is constructed in this study. Using Sichuan Province of China as a case study, the system dynamics (SD) model is simulated and integrated with the coupling coordination degree (CCD) model to explore key factors influencing regional economic development and system coordination.. The results indicate that: (1) Air logistics infrastructure, operational capacity, and sustainability all influence regional economic output and structure, with sustainability exerting the most significant impact, followed by operational capacity and infrastructure, albeit with some delay. (2) Under various funding allocation strategies, the coupling coordination between AL&RE consistently improved, except for fluctuations during the pandemic. (3) The effectiveness of infrastructure, operational capacity, and sustainability in driving system coordination contrasts with their effects on economic development. However, in the long term, their influence aligns with other factors as the CCD approaches 1. Finally, phased policies were designed for Sichuan and can serve as a reference for other inland mountainous areas. This research introduces a new theoretical framework and fresh insights for the study of AL&RE, along with a novel model approach that integrates SD and CCD models, which complement each other's limitations. Through multi-level policy simulation and analysis, the study offers in-depth insights into Sichuan's current policies and provides practical policy recommendations. • Integrating the system dynamics and coupling coordination degree models. • Analysis of interactions within the framework of complex systems. • Focus on air logistics and the regional economy in inland mountainous areas. • Comprehensive impact on the regional economy and system coordination. • Various factors exert differing complex effects in both the short and long term. • Provides multi-phase policy optimization recommendations.

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Publication Details

Journal
Transport Policy
Published
2025-08-18
DOI
https://doi.org/10.1016/j.tranpol.2025.103779
Citations
2
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
6.26
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article

Dynamic mechanisms of air logistics driving regional economic development in inland mountainous areas: An exploration of key factors and their multifaceted impacts

Lijun Liang, Peirong Chen
2 citations
Transport Policy
Economic and Technological Innovation
6.26
article

Dynamic mechanisms of air logistics driving regional economic development in inland mountainous areas: An exploration of key factors and their multifaceted impacts

Lijun Liang, Peirong Chen
article en
2 citations

Abstract

Due to the unique terrain features, industrial requirements, and geographical positioning of inland mountainous areas, air logistics serves as a crucial catalyst for regional economic development. However, it encounters distinct development challenges and limited financial resources, making the optimization of fund allocation and the creation of endogenous growth dynamics significant. This study aims to establish a new theoretical framework and research tool for simulating policy effects and providing recommendations for these specific areas. An air logistics-regional economy (AL&RE) system framework is constructed in this study. Using Sichuan Province of China as a case study, the system dynamics (SD) model is simulated and integrated with the coupling coordination degree (CCD) model to explore key factors influencing regional economic development and system coordination.. The results indicate that: (1) Air logistics infrastructure, operational capacity, and sustainability all influence regional economic output and structure, with sustainability exerting the most significant impact, followed by operational capacity and infrastructure, albeit with some delay. (2) Under various funding allocation strategies, the coupling coordination between AL&RE consistently improved, except for fluctuations during the pandemic. (3) The effectiveness of infrastructure, operational capacity, and sustainability in driving system coordination contrasts with their effects on economic development. However, in the long term, their influence aligns with other factors as the CCD approaches 1. Finally, phased policies were designed for Sichuan and can serve as a reference for other inland mountainous areas. This research introduces a new theoretical framework and fresh insights for the study of AL&RE, along with a novel model approach that integrates SD and CCD models, which complement each other's limitations. Through multi-level policy simulation and analysis, the study offers in-depth insights into Sichuan's current policies and provides practical policy recommendations. • Integrating the system dynamics and coupling coordination degree models. • Analysis of interactions within the framework of complex systems. • Focus on air logistics and the regional economy in inland mountainous areas. • Comprehensive impact on the regional economy and system coordination. • Various factors exert differing complex effects in both the short and long term. • Provides multi-phase policy optimization recommendations.

Transport PolicyVol. 172
Beijing Information Science & Technology University (CN)
Decent work and economic growth
Openalex Percentile: Top 4%
Economic and Technological Innovation
6.26
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