Measurement and Evaluation on Tourism Economic Network Characteristics of China Four Major Urban Agglomerations

Studying the characteristics and driving mechanisms of tourism economic development in urban agglomerations is significant for promoting high-quality development of the tourism industry. This article explores the spatial structure and differences of the tourism economy within the Yangtze River Delta, the Guangdong-Hong Kong-Macao Greater Bay Area, the Beijing-Tianjin-Hebei urban agglomeration, and the Chengdu-Chongqing economic circle by using the tourism-modified gravity model and social network analysis methods. Meanwhile, the tourism economic index and tourism supply capacity index are constructed to explore the dislocation of supply and demand in the central cities of each urban agglomeration. Finally, from the perspective of regional economic integration development, suggestions are put forward for further improving the tourism economic network.

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Publication Details

Journal
Advances in Economics Management and Political Sciences
Published
2024-10-25
DOI
https://doi.org/10.54254/2754-1169/120/20242541
Primary Topic
Diverse Aspects of Tourism Research
Type
article
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article

Measurement and Evaluation on Tourism Economic Network Characteristics of China Four Major Urban Agglomerations

Yunqi Jing, Luyuan Yang
Advances in Economics Management and Political Sciences
Diverse Aspects of Tourism Research
article

Measurement and Evaluation on Tourism Economic Network Characteristics of China Four Major Urban Agglomerations

Yunqi Jing, Luyuan Yang
article en

Abstract

Studying the characteristics and driving mechanisms of tourism economic development in urban agglomerations is significant for promoting high-quality development of the tourism industry. This article explores the spatial structure and differences of the tourism economy within the Yangtze River Delta, the Guangdong-Hong Kong-Macao Greater Bay Area, the Beijing-Tianjin-Hebei urban agglomeration, and the Chengdu-Chongqing economic circle by using the tourism-modified gravity model and social network analysis methods. Meanwhile, the tourism economic index and tourism supply capacity index are constructed to explore the dislocation of supply and demand in the central cities of each urban agglomeration. Finally, from the perspective of regional economic integration development, suggestions are put forward for further improving the tourism economic network.

Advances in Economics Management and Political SciencesVol. 120(1)
Chinese Academy of Civil Aviation Science and Technology (CN)
Openalex Percentile: Top 70%
Diverse Aspects of Tourism Research
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