Econometric Analysis of Leisure Agriculture and Rural Tourism Scenery Based on Spatial Data Analysis

Abstract

Exploratory spatial data analysis (ESDA) shows that there is a significant spatial autocorrelation of tourism development in China, which is manifested by the aggregation of spatial distribution. The results of the great likelihood estimation of the spatial lag model show that the parameters ρ of both the total tourism income model and the domestic income model are significantly positive, indicating that the spatial linkage between agricultural and rural tourism income is very strong and the spillover effect of agricultural and rural tourism is larger than that of overall tourism. Tourism superstructure facilities, human resources, and tourism infrastructure are statistically significant and are important influencing factors for overall tourism and agricultural and rural tourism development. And the overall fit of agricultural and rural tourism model is poor. The findings of the study better grasp how to make rural tourism make a greater contribution to the regional economy of Chengdu and maximize its positive role, and put forward relevant countermeasure suggestions, which will provide theoretical guidance and decision-making reference for relevant departments on how to better play the economic effect of tourism, and will also have a realistic reference role on how to develop rural tourism in western cities of China.

Analysis of the Influence of Human Resources on the Economic Development of Minority Areas Based on Data Mining

“…e method used in the research to measure human capital is the years of the education method. To measure with this method, data on human capital stock, illiterate and semiilliterate population, primary school education level, junior high school level education level, high school education level population, and college education level population are needed in the region [34][35][36]. Considering that there are few data in this region, and the data are only available in individual years, the data of the province are used to process, and the measure of human capital in the region is obtained based on the data of the province, except for a specific proportion.…”