Redai dili (Oct 2022)
Coupling Coordination and the Spatio-Temporal Characteristics of Tourism and Finance in China
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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