黄河流域城市间旅游经济联系格局及影响因素研究

doi:10.12118/j.issn.1000-6060.2022.570

Abstract

Abstract:

Based on the time section data of 2010, 2015 and 2019, the modified gravitational model and social network method were used to analyze the temporal and spatial evolution characteristics of tourism economic links among 89 cities in the Yellow River Basin, and the influencing factors of tourism economic connection changes in the Yellow River Basin were analyzed by combining geographical detectors. The results show that: (1) The east-west multi-core network structure of the tourism economic network in the Yellow River Basin gradually formed, and the characteristics of regional differentiation and inter-provincial barrier effect between cities are significant. (2) The tourism economic linkage network has gone through the initial stage of polarization and large barriers, the transitional stage of organic connection and enhanced interaction, and the consolidation stage of balanced and cluster development. (3) A small number of core cities represented by Xi’an City and Zhengzhou City play a strong intermediary role in the tourism economic connection network. (4) The level of industrial structure, tourism resource endowment and environmental quality are the main influencing factors of tourism economic linkages, and the interaction between various factors can enhance the explanatory power of tourism economic linkages. The research results can provide effective optimization suggestions for the high-quality development of tourism economy in the Yellow River Basin.

Key words: tourism economic linkage, social network analysis, geographic detector, influencing factors, Yellow River Basin

ZHANG Hao, HAN Zenglin, QIAO Guorong, WANG Hui, WANG Hongye, DUAN Ye. Patterns and influencing factors of tourism economic linkages between cities in the Yellow River Basin[J].Arid Land Geography, 2023, 46(8): 1344-1354.

Figures/Tables 7

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References 35

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年份	X₁	X₂	X₃	X₄	X₅	X₆	X₇	X₈	X₉	X₁₀
2010	0.275^***	0.482^***	0.244^**	0.364^***	0.296^***	0.451^***	0.296^***	0.248^***	0.257^**	0.306^***
2015	0.265^***	0.334^**	0.135^*	0.315^***	0.155^*	0.537^***	0.264^*	0.102^*	0.161^**	0.284^***
2019	0.206^***	0.285^***	0.227^**	0.199^**	0.146^*	0.341^*	0.201^**	0.210^*	0.179^*	0.346^***

2010年		2015年		2019年
主导交互因子	交互类型	主导交互因子	交互类型	主导交互因子	交互类型
X₃∩X₇	非线性增强型	X₁₀∩X₄	非线性增强型	X₆∩X₇	非线性增强型
X₂∩X₁₀	双因子增强型	X₁₀∩X₆	非线性增强型	X₂∩X₈	非线性增强型
X₂∩X₉	双因子增强型	X₁₀∩X₃	双因子增强型	X₂∩X₆	非线性增强型
X₂∩X₇	双因子增强型	X₂∩X₄	双因子增强型	X₂∩X₁₀	双因子增强型
X₆∩X₁₀	双因子增强型	X₄∩X₆	双因子增强型	X₁₀∩X₆	双因子增强型

Patterns and influencing factors of tourism economic linkages between cities in the Yellow River Basin

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