| 中国旅游业与金融业的耦合协调及其时空特征 |
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| 引用本文： | 田卡吨,邹泽铎,彭宝玉,卢荣旺.中国旅游业与金融业的耦合协调及其时空特征[J].热带地理,2022,42(10):1651-1664. |
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| 作者姓名： | 田卡吨 邹泽铎 彭宝玉 卢荣旺 |
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| 作者单位： | 1.河南大学，地理与环境学院，河南 开封 475004;2.河南大学，环境与规划国家级实验教学示范中心，河南 开封 475004 |
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| 基金项目： | 国家自然科学基金项目(42071160) |
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| 摘 要： | 在探讨旅游业与金融业融合发展机理的基础上，利用耦合协调度模型和空间自相关分析等方法，分析2011—2019年中国31个省域旅游业与金融业发展水平时空演变特征、耦合协调度时空分异特征与空间关联格局，并利用随机效应面板Tobit模型分析其影响因素。结果表明：1）中国旅游业与金融业发展水平总体保持上升趋势，但金融业发展水平始终高于旅游业；两者发展水平年均值呈“东部 > 中部 > 东北 > 西部”空间分布格局，年均增长率则呈“东慢西快”的空间特征。2）两大产业的耦合协调度在时间上整体呈上升态势，初步实现中度协调；在空间上呈“东部―中部―东北―西部”梯度递减格局。3）两大产业耦合协调度呈显著的正向空间自相关，且空间集聚强度呈波动增长的态势；“H-H”集聚类型分布在东中部，“L-L”集聚类型分布于西部和东北地区；各省域的空间集聚状态变化具有稳定性，表明各省域两大产业发展具有路径依赖特征。4）从影响因素看，经济发展水平、产业结构、区域创新能力和政府支持对旅游业与金融业耦合协调度有显著的正向影响，市场规模、交通发展水平和数字化程度则有显著的负向影响，地区开放程度则未通过显著性检验。
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| 关 键 词： | 旅游业 金融业 耦合协调度 空间相关分析 Tobit模型 中国 |
| 收稿时间： | 2022-04-28 |
Coupling Coordination and the Spatio-Temporal Characteristics of Tourism and Finance in China |
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| Kadun Tian,Zeduo Zou,Baoyu Peng,Rongwang Lu.Coupling Coordination and the Spatio-Temporal Characteristics of Tourism and Finance in China[J].Tropical Geography,2022,42(10):1651-1664. |
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| Authors: | Kadun Tian Zeduo Zou Baoyu Peng Rongwang Lu |
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| Institution: | 1.College of Geography and Environmental Science, Henan University, Kaifeng 475004, China;2.National Demonstration Center for Environment and Planning, Henan University, Kaifeng 475004, China |
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| Abstract: | Under the new development pattern, the integrated development of the tourism and finance industries can extend a high-quality industry-development chain, reshaping and optimizing industrial structures and enhancing the competitiveness of both industries. This study demonstrates that the integrated development of the tourism and finance industries has been driven mainly by internal and external forces; both industries are currently developing in the direction of digitalization. After consulting the relevant literature, the researcher consulted five relevant experts to construct a model to evaluate the development level of the tourism and finance industries. Next, the entropy-weight and linear-weight methods were coupled with the coordination-degree model, a spatial autocorrelation analysis, and other methods to carry out an analysis. The analysis explores the temporal- and spatial-evolution characteristics of the development level of the tourism and finance industries in 31 provinces in China between 2011 and 2019, together with the temporal- and spatial-differentiation characteristics of the degree of coupling coordination and the spatial-correlation pattern. The random effects panel Tobit model was used to analyze the influencing factors. The results demonstrate: (1) China's tourism and finance industries have generally maintained an upward development trend; the finance industry's development level has always been higher than that of the tourism industry. (2) The annual average value of the coupling coordination between tourism and finance in China between 2011 and 2019 remains in a state of continuous optimization. Coordination levels range from low to moderate, without achieving the ideal state of optimal coordination. The average value of the coupling coordination between the two industries in China's four major regions shows a gradient decreasing East-Central-West pattern, whereas the coupling coordination in each province has improved. (3) The coupling coordination degree of the two major industries shows significant positive spatial autocorrelation and the spatial agglomeration intensity shows a trend of fluctuating growth. Eastern and central regions belong to the "H-H" agglomeration type, western and northeastern regions to the "L-L" agglomeration type, and "H-L" and "L-H" spatial-agglomeration-type provinces are scattered everywhere. Changes in the spatial agglomeration of each province are stable, indicating that the two major industries in each province are characterized by path dependence or lock-in. Fourth, in terms of influencing factors, the levels of economic development, industrial structure, regional-innovation capability, and government support have a significant positive affect on the degree of coupling and coordination between the tourism and financial industries; market size, transportation development level and digitalization degree have a significant negative impact. The degree of openness in the region does not pass the significance test. In view of this, we propose to increase financial-service support for tourism, promote the optimization and upgrading of the tourism industry, and support other development proposals, promoting the deep integration of the two industries. |
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| Keywords: | tourism industry financial industry coupling coordination degree spatial correlation analysis Tobit model China |
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