Frontier of Rural Revitalization in China: A Spatial Analysis of National Rural Tourist Towns

As the national economic situation improves, concerns about rural issues in China, a large agricultural country, are gradually increasing. Hence, rural tourism has been thrust into the limelight. This research is based on the National Rural Tourist Towns of China (NRTTC). It aims to analyze the spatial structure, influencing factors and their relevance to rural tourism development. Initially, this research examines the spatial distribution pattern in terms of kernel density. Subsequently, the imbalance index and Lorenz curve are used to distinguish the differences in spatial distribution. The Gini coefficient is used to explore the clustered regional distribution. The results indicate the following: (1) the number of NRTTC in each province is relatively even; and (2) the spatial distribution is highly uneven. The degree of aggregation is bounded by the Hu Huanyong boundary, with more in the southeast and less in the northwest. The capital circle is the core density area. Additionally, those NRTTC in the eastern and southeastern regions have a large distribution density and a more comprehensive radiation range. This study additionally analyzed the factors influencing the spatial distribution characteristics of NRTTC, and found four crucial aspects, namely, the national development strategy, the social environment, the geographical environment, and historical development. This research can provide a reference for the construction of rural tourist towns in different countries and regions.

Automated summary

With the improvement of the national economic situation, concerns about rural issues in China, a large agricultural country, are increasing. Rural tourism has become a popular topic. This study analyzes the spatial structure, influencing factors, and their relevance to rural tourism development in China's National Rural Tourist Towns. The research reveals differences in spatial distribution and aggregation limits, as well as identifies four crucial factors influencing the spatial distribution characteristics of these tourist towns.