Study on Tourism Responsiveness and Habitat Environment-Influencing Factors of Traditional Villages in Huizhou Area

Xin Wang, Jingjing Lai and Yanlong Guo ()
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Xin Wang: Anhui Cultural Tourism Innovative Development Research Institute, Anhui Jianzhu University, Hefei 230601, China
Jingjing Lai: Anhui Cultural Tourism Innovative Development Research Institute, Anhui Jianzhu University, Hefei 230601, China
Yanlong Guo: Social Innovation Design Research Centre, Anhui University, Hefei 203106, China

Sustainability, 2024, vol. 16, issue 8, 1-15

Abstract: The tourism market for traditional villages in China is expanding, with the Huizhou region being particularly prominent. Traditional villages offer rich tourism resources. To ensure sustainable tourism development in the Huizhou region, this text explores the issues of tourism responsiveness and the sustainability impacts on the human environment in the development of traditional villages. The entropy weight-TOPSIS method is used to analyze the evaluation index system of the tourism response in Huizhou. Based on the three criteria of village resource endowment conditions, local economic development environment, and regional tourism development environment, a set of twenty indicators has been selected to establish an evaluation system for the tourism responsiveness of traditional villages in Huizhou. Feasible suggestions have been proposed to address the existing problems and the results of the data analysis in order to further improve tourism responsiveness. This study offers fundamental research for the sustainable development of traditional villages in Huizhou and the enhancement of tourism services in these areas. The results of this study show the following. (1) The highest weighting coefficient of the guideline layer of the garden green area affects the development of village tourism. (2) The high density of cultural heritage in traditional villages is conducive to the improvement of the service level and quality of the traditional village tourism, which will make the traditional villages more culturally connotative. (3) By studying the proportion of the tertiary industry in the GDP of the Huizhou region and its trend of change, it is possible to assess and study whether the tertiary industry’s development is in line with the law of industrial structure evolution. This also helps us to optimize and adjust the important impact of the tourism industry structure in the Huizhou area. (4) The tourism reception can be based on the data concerning passenger flow and scenic spots to plan the number of tourists and excursion routes, as well as optimize the service facilities, in order to alleviate the overcrowding situation, improve the experience of the tourists and satisfy the needs of the tourists.

Keywords: sustainable tourism; tourism responsiveness; traditional villages; habitat environment; entropy power method-TOPSIS; China (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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