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| COMPOSITION PATH OF RURAL TOURISM ATTRACTIVENESS FROM THE PERSPECTIVE OF RURALITY: A FUZZY-SET QUALITATIVE COMPARATIVE ANALYSIS BASED ON 26 RURAL CASES IN HAINAN PROVINCE |
| WANG Ming-jie1, MENG Kai1, ZHANG Bing-yi1, YUAN Hao-wen1, TANG Jia-xin2 |
1. College of Tourism, Hainan University, Haikou 570228, China;
2. Shenzhen College of Tourism, Jinan University, Shenzhen 518053, China |
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Abstract This study aims to explore the constituent elements and combination paths of rural tourism attractiveness from the perspective of rurality, using the fuzzy-set qualitative comparative analysis method to analyze the condition grouping of 26 rural tourism sites in Hainan Province, and to explore the composition paths, internal logic and potential substitution relationships among elements of rural tourism attractiveness in the context of case realities. The main conclusions are as follows: First, the study proposes a framework for analyzing the composition paths of rural tourism attractiveness based on five rurality attraction elements (i. e., relaxation element, authenticity element, novelty element, escapism element, and modernity element) and 18 rurality element indicators. Second, single rurality attraction element cannot constitute sufficient necessary conditions for rural tourism attractiveness. For the composition of rural tourism attractiveness, this study comes up with three combination paths. Third, as the potential substitution relationships among the three groups of rural attraction elements, the combination of relaxation and authenticity elements, novelty and escapism elements can be substituted with modernity element. Fourth, in the composition path of rural tourism attractiveness, the original coverage of scenic resort and leisure type and beautiful rural endowment type is higher than B&B catering dependence type, demonstrating that the rural tourism mostly adopts the above two paths to constitute tourism attractiveness.
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Received: 09 June 2022
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Corresponding Authors:
10.13959/j.issn.1003-2398.2023.05.016
E-mail: 316221812@qq.com
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