Spatial Distribution of Tourism and Its Influencing Factors in Shanxi Province
Main Article Content
Keywords
Shanxi Province, A-level scenic spots, geographic detectors, spatial distribution, influencing factors
Abstract
As important carriers of regional tourism resource development and cultural and tourism integration, tourist attractions not only reflect the comprehensive role of natural and human elements but also directly affect the quality of regional tourism development. As a province with a large history and culture and a demonstration area for the transformation of a resource-based economy, the spatial pattern evolution and driving mechanisms of Shanxi Province’s A-level tourist attractions have typical research value, but the existing research lacks comprehensiveness in terms of regional adaptability. On the basis of the 2020–2023 data of A-level scenic spots in Shanxi Province, this study comprehensively used the nearest neighbor index, kernel density analysis, and geographic detector methods to systematically analyze the distribution characteristics and influencing factors of A-level scenic spots in Shanxi Province. The results reveal the following: 1) Level A scenic spots in Shanxi Province exhibited a significant spatial pattern of “agglomeration at the center-scattering at the periphery”, with Taiyuan as the core forming a high-density area and radiating and diffusing to the surroundings along the main traffic axis; and 2) the spatial distribution type continued to be the agglomeration type, but the aggregation strength showed a weak trend of loosening. 3) Analysis by geographic detector revealed that the distribution of scenic spots was jointly affected by the natural environment and socioeconomic factors, with socioeconomic factors being the leading force; natural environmental factors formed the basic constraints, and the influence of the river system was relatively stable. This study aims to reveal the spatial differentiation pattern of A-level scenic spots in Shanxi Province, comprehensively consider its key elements, and provide an empirical basis for the high-quality development of cultural tourism in resource-based provinces.
References
- Butler, R. W. (1980). The concept of a tourist area cycle of evolution: Implications for management of resources. Canadian Geographer, 24(1), 5-12.
- China Culture Daily. (2021, 2021-06-03). The 14th Five-Year Plan for Cultural and Tourism Development. China Culture Daily, 002. https://doi.org/10.28144/n.cnki.ncwhb.2021.001694
- Christaller, W. (1963). Some considerations of tourism location in Europe: The peripheral regions – underdeveloped countries – recreation areas. Regional Science Association Papers, 12(1), 95-105.
- Duan, X., Zhu, X., & Wang, G. (2007). An empirical study on tourism resource development in resource-based cities: A case of Linfen, Shanxi. Urban Problems, (05), 41-45.
- Hall, C. M. (2019). Constructing sustainable tourism development: The 2030 agenda and the managerial ecology of sustainable tourism. Journal of Sustainable Tourism, 27(7), 1044-1060.
- Li, J., Zhao, Q., & Chen, J. (2020). Spatial distribution characteristics and influencing factors of intangible cultural heritage in the Yangtze River Economic Belt. Economic Geography, 40(12), 191-198.
- Li, L., Hou, G., Xia, S., & et al. (2020). Spatial distribution characteristics and influencing factors of leisure tourism resources in Chengdu. Journal of Natural Resources, 35(3), 683-697.
- Liu, M., & Hao, W. (2020). Study on influencing factors of spatial distribution of national A-level tourist attractions in Shanxi Province. Acta Geographica Sinica, 75(04), 878-888.
- Liu, Y., & Tang, J. (2022). Evaluation of tourism development quality in the Yangtze River Economic Belt and its spatiotemporal evolution. Economic Geography, 42(04), 209-219.
- Rong, H., & Tao, Z. (2020). Identification and cause analysis of rural tourism hotspots based on network data: A case study of Jiangsu Province. Journal of Natural Resources, 35(12), 2848-2861.
- Song, L., Cr, R. A., Mz, R., & Chen, S. (2025). Reconstructing high-quality tourism spatial structure: an empirical study of Shanxi Province from the perspective of supply and demand. The Annals of Regional Science, 74(3), Article 79.
- Wang, J., & Xu, C. (2017). Geodetector: Principles and prospects. Acta Geographica Sinica, 72(1), 116-134.
- Wang, M., Han, M., Chen, G., & et al. (2021). Variation of spatial distribution of A-level tourist attractions and its influencing factors based on Geodetector: A case study of Shandong Province. China Population, Resources and Environment, 31(8), 166-176.
- Wu, Q., Li, X., Wu, L., & Chen, S. (2017). Spatial distribution pattern and spatial correlation of A-level tourist attractions in Hunan Province. Economic Geography, 37(2), 193-200.
- Xu, D., Huang, Z., Hu, X., & et al. (2018). Evolution of spatial pattern of county-level tourism efficiency and its influencing factors in Zhejiang Province. Economic Geography, 38(5), 197-207.
- Yang, X., & Jiao, H. (2016). Spatial restructuring of coal resource-based cities during the transition period: A case study of Huainan and Huaibei. Acta Geographica Sinica, 71(8), 1343-1356.
- Zikirya, B., & Zhou, C. (2023). Spatial distribution and influencing factors of high-level tourist attractions in China. Sustainability, 15(3), Article 1123.
Article Sidebar
This work is licensed under a Creative Commons Attribution 4.0 International License.