Tourism is an important part of China's national economy. Promoting the development of regional tourism and improving the level of tourism competitiveness can promote the development of regional economy, society, and people's livelihood. Therefore, in the context of the HQDEV of the YRB, it is of great significance to study the evaluation and promotion strategies of tourism competitiveness along the Yellow River for promoting their HQDEV in terms of ecology, economy, and tourism. Taking the provinces as the research area, this article has constructed an evaluation index system of tourism competitiveness in the provinces and used the entropy weigh, the Topsis, and the natural breakpoint classification method. The economic and tourism industry subsystems and the overall tourism competitiveness level are comprehensively evaluated and analyzed, and on this basis, the promotion strategy of tourism competitiveness of the nine provinces along the Yellow River is proposed. According to the weight of the evaluation index system, the index weight of the ecological environment competitiveness subsystem is 0.3891, of which the index weight of the ecological protection level is 0.3057, and the environmental quality level is 0.0834. The index weight of the subsystem is 0.2691, of which the index weight of the economic innovation level is 0.1695, and the social and people's livelihood level is 0.0996. For the tourism competitiveness, the index weight of the ecological environment competitiveness subsystem is 0.3891, the index weight of the socioeconomic competitiveness subsystem is 0.2691, and the index weight of the tourism industry competitiveness subsystem is 0.3418. The results show that the level of tourism competitiveness along the nine provinces maintains a relatively stable form, but the overall level is not high and the intraregional differences are small.
CITATION STYLE
Geng, N., & Shao, X. (2022). Evaluation of Provincial Tourism Competitiveness in the Yellow River Basin Based on Clustering Algorithm. Mobile Information Systems, 2022. https://doi.org/10.1155/2022/8904499
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