An Evaluation of Coupling Coordination between Tourism and Finance

Abstract

The tourism industry has become a new growth engine that closely coordinates with the financial industry and contributes to the sustainable development of local economies. This study establishes a comprehensive index system and evaluates the coupling coordination based on an integrated approach, and the dynamic relationship between tourism and finance through applying coupling coordination degree modeling, the Granger causality test, and an impulse response function based on the regional coordination theory and system theory. Using data from 2000 to 2016 of three tourism-based cities in China, the findings reveal heterogeneous results among the cities. Specifically, the following: (1) The coupling coordination degree between finance and tourism in Zhangjiajie increased with strong fluctuations. A one-way causality relationship existed between two subsystems, and finance continuously contributed to the growth of tourism with serious lags; (2) The coupling coordination degree between finance and tourism in Huang Shan presented a ladder-type and continuous rise. A two-way causality relationship existed between the two subsystems mentioned above, and finance influenced the growth of tourism with continuously positive or negative effects, while tourism continuously contributed to the development of finance. (3) The coupling coordination degree between finance and tourism in Sanya grew with a frequent, tiny, and fluctuating trend. A two-way causality relationship existed between the two subsystems mentioned above, and finance influenced the growth of tourism with continuously positive or negative effects, while tourism influenced the development of finance with temporary positive or negative effects.

Analysis and Prediction of the Coupling Coordination Relationship between Tourism and Air Environment: Yangtze River Economic Zone in China as Example

“…is study firstly selects indicators of the tourism-air environment system according to previous research studies [1,14,17,26,54,[56][57][58][59][60][61][62]. e selection and screening criteria include (1) covering and representing the components of tourism and air environment, (2) selecting the indices which are commonly referred and cited, (3) selecting the relatively simple and clear indicators in order to promote the effectiveness of collecting data and to enhance the index system dissemination and to eliminate multicollinearity, (4) reflecting the strategies or policies from the authorities, and (5) considering the accessibility of data [17,58]. Secondly, the critical indicators were selected via the qualitative analysis and the comparisons of the correlation coefficients and the levels of significance so that the deeper understanding of the coupling relationship in the tourism-air environment system and the interactions among the subsystems can be explored.…”

“…In the tourism subsystem, the dimension of Tourism Scale represents the integral size of the tourism industry, including the number of domestic tourists, the number of international tourists, the number of hotels, the number of travel agencies, and the number of employees of the tourism industry [1,26,[58][59][60][61]; the dimension of Tourism Performance reflects the benefits and monetary status of the tourism industry, including earnings from domestic tourists and from international tourists [26,[58][59][60].…”

Coupling Coordination of Water Governance and Tourism: Measurement and Prediction

“…Water governance response represents the management and protection of water resources, including the investment in wastewater treatment projects, wastewater treatment rate, and volume of water saved per capita [35,36]. In the tourism subsystem, tourism performance represents the revenue and financial situation of the tourism industry, including international and domestic tourism revenues [37,38]; tourism scale represents the overall size of the industry of tourism, which covers the numbers of tourists both internationally and domestically, and the numbers of hotels, tourism practitioners, and travel agencies [38][39][40][41] x…”

Spatiotemporal Coupling Factors and Mode of Tourism Industry, Urbanization and Ecological Environment: A Case Study of Shaanxi, China

“…Hu Zhenpeng investigated the evolution characteristics of the coupling between the tourism industry, urbanization and ecological environment in Poyanghu area, and believes that only the restoration of ecological environment could accelerate the development of tourism and urbanization [27]. Xu Huiyun found that the tourism industry and urbanization in the six provinces in the middle and lower reaches of the Yangtze River are developing rapidly, but the constraining effect of the ecological environment is gradually emerging [28]. Li Xiang thinks that the coupling between the tourism industry, urbanization and ecological environment in the Yangtze River Economic Zone presents a spatial feature of "high in the east and low in the west" [29].…”

“…Based on the coupling model in physics, and by consulting existing studies [27][28][29][30][31], a coupling degree evaluation model of the tourism industry, urbanization and ecological environment (Equations (4) and (5)) can be constructed. In the model, u 1 , u 2 and u 3 are the comprehensive evaluation values of the tourism industry, urbanization and ecological environment respectively.…”