Abstract: Exploring the influencing factors and marginal utility of rural development in different regions is of great significance for the in-depth implementation of the rural revitalization strategy. Taking 513 villages in different regions of Chongqing as examples, the study, based on the multiple linear regression and boosted regression tree (BRT) models, analyzes the influencing factors and marginal utility of rural development in six aspects: resource endowment, geographic location, human capital, industrial base, facility construction and governance level. The results are as follows: (1) Industrial base plays an important role in promoting rural development in different regions. (2) The degree of industrial organization, the resident population, villagers' participation and the vitality of industrial development are significantly and positively correlated with the rural development in counties with better economic development, with increased marginal utility; the degree of industrial organization, the scale of land transfer, resident cadres and arable land resources are significantly and positively correlated with the rural development in counties with lagging economic development, with the increased marginal utility of factors other than resident cadres. (3) Due to the influence of labor outflow, labor force is negatively correlated with rural development in counties with better economic development, with reduced marginal utility. And resident cadres have a significant positive effect on enhancing the effectiveness of rural governance in counties with lagging economic development. The study suggests that rural development in counties with better economic development should further integrate the resource elements of "people, land, and industry" and give full play to farmers' enthusiasm in rural development, while counties with lagging economic development should focus on breaking through bottlenecks in rural development, improving industrial development capacity, and relying on resident cadres to enhance the effectiveness of rural governance.