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. 2024 Apr 3;10(7):e29039.
doi: 10.1016/j.heliyon.2024.e29039. eCollection 2024 Apr 15.

Spatial distribution and influencing factors of rural tourism: A case study of Henan Province

Affiliations

Spatial distribution and influencing factors of rural tourism: A case study of Henan Province

Jiusheng Du et al. Heliyon. .

Abstract

Rural tourism is a powerful way to revitalize the countryside, and its spatial pattern is crucial for sustainable development. This paper analyzes the spatial distribution of rural tourism characteristic villages in Henan Province by taking 723 villages as the research object and using the nearest neighbor index, kernel density analysis, and spatial autocorrelation. It investigates the influencing factors utilizing the optimal parameters-based geographical detector (OPGD) model. The results show that, firstly, the overall spatial distribution of the rural tourism characteristic villages in Henan Province is characterized by aggregation and unbalanced distribution, and the overall spatial distribution density demonstrates the aggregation characteristics of "four cores and one belt". Secondly, the rural tourism characteristic villages can be divided into four primary categories, agricultural industry, rural culture, and featured villages and towns. The spatial distributions of the four main categories are all clustered. Thirdly, the primary factors affecting the differences in the spatial distribution of the rural tourism characteristic villages are the topographic features, economic development level, tourism market potential, traffic capacity, and relevant policies, among which the critical factor is the number of A-class scenic spots in the tourism market potential. To promote the optimisation of the spatial pattern of rural tourism, it is necessary to strengthen resource integration. Furthermore, it is important to conduct in-depth exploration of more factors in order to provide comprehensive guidance for the sustainable development of rural tourism.

Keywords: Henan province; Influencing factors; Optimal parameters-based geographical detector; Rural tourism characteristic village; Spatial distribution.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
The word cloud diagram of rural tourism influencing factors.
Fig. 2
Fig. 2
Mechanisms affecting the spatial distribution of rural tourism.
Fig. 3
Fig. 3
Overview of research on rural tourism characteristic villages in Henan Province.
Fig. 4
Fig. 4
Research method framework and steps.
Fig. 5
Fig. 5
The kernel density of rural tourism characteristic villages in Henan Province.
Fig. 6
Fig. 6
The LISA clustering map of rural tourism characteristic villages in Henan Province.
Fig. 7
Fig. 7
The kernel density of different types of rural tourism characteristic villages in Henan Province: (a) Leisure tourism category; (b) Agricultural industry category; (c) Rural culture category; (d) Featured village and town category.
Fig. 8
Fig. 8
The cold hot spots of various types of rural tourism characteristic villages in Henan Province: (a) Leisure tourism category; (b) Agricultural industry category; (c) Rural culture category; (d) Featured village and town category.
Fig. 9
Fig. 9
The distribution of the factors impacting each type of characteristic village in the province of Henan: (a) Leisure tourism category; (b) Agricultural industry category; (c) Rural culture category; (d) Featured village and town category.

References

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    1. Chen T. Problems and Countermeasures of rural tourism development in Henan province on beautiful village background. Econ. Geogr. 2017;37:236–240.
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