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Rural resource endowment, resource combination mode and its commodification degree affect the construction of rural resilient economic system. This paper explored the hot spots and laws of international rural resource commodification research by using visual and traditional literature reading methods and taking Web of Science core collection literature as data, and finally revealed the enlightenment of this research on the practice of rural transformation and revitalization in China. The study points out that firstly, "Agriculture" is an important content in this field, and "agricultural commercialization" and "rural space commodification" are hot topics. Secondly, Agricultural commercialization mostly describes the transformation process of African agriculture from self-sufficiency to marketization. Input of resource factors such as agricultural products, land, labor, market organization and capital affect output efficiency, while government power is rarely mentioned. Agricultural commercialization is an effective tool for achieving food security and poverty reduction. Thirdly, multi-type rural space commodification emphasizes rural consumption economy, cultural landscape, and other non-material innovative resources, which together with traditional rural resources constitute the "set" of tourism commodities. The influx of capital and government power are key drivers. Space commodification is an effective economic means for western rural revival. Fourthly, from productivism to spatial production theory, it depicts the process of rural change in western developed countries, reflecting the strategic change of rural core resources and the spatial distribution law of resource combination mode under different social stages and productivity levels. Finally, it is believed that the commodification of rural resources promotes the reorganization of local resources, which is the only way for rural revitalization. To promote the commodification of rural resources according to local conditions, it is necessary to fully consider the local economic level and the urban and rural location of the countryside, that is, to develop resources guided by market demand. At the same time, we must give full play to the wisdom functions of the government, especially the grass-roots governments. [ABSTRACT FROM AUTHOR]

This paper takes the rural tourism destinations announced by the Ministry of Agricul‐ ture and Rural Affairs and the Ministry of Culture and Tourism of China as samples, and uses the methods of nearest neighbor index, kernel density and geographic detector to explore the spatial distribution law and influencing factors of rural tourism destinations in China. The results show that: (1) China's rural tourism destinations exhibit the agglomeration characteristics of "more in the east and less in the west, more in the south and less in the north", and the difference between the east and the west is more significant than that between the north and the south. The agglom‐ eration increased gradually. Except for Xinjiang and Qinghai, the nearest neighbor index values of other provinces and cities were 0. 7 to 1. 2, which tended to be evenly distributed. (2) China's rural tourism destinations form a spatial distribution pattern of "two poles-two axes-multiple cores". Of the five types of rural tourism destinations, the leisure and sightseeing type has the highest proportion (33. 06%); and the type of cultural and folk customs has the lowest proportion (8. 28%). The driving factors for the spatial differentiation of the five types of rural tourism des‐ tinations are quite different, which is closely related to the resource endowment and location characteristics of the villages. (3) The spatial differentiation of rural tourism destinations is the result of the combined effect of factors such as the natural environment of the village, the level of social development, the potential of cultural resources, the level of regional facilities, the level of tourism investment, and the scale of the tourism market. The level of social development and the scale of the tourism market are the dominant factors, with explanatory power of 0. 64, 0. 62; factors such as altitude, hydrological conditions and traffic location have a significant negative correlation with the spatial distribution of rural tourism destinations [ABSTRACT FROM AUTHOR]