A Study on the Impact of Difficulty in Transferring Rural Residential Land Based on Regression Analysis--A Case Study in Southeast China

Abstract

Rural residence base transfer is one of the ways to improve the effective allocation of rural land resources, this paper sets the factors affecting the willingness to transfer residence base, such as gender, age, family income and education level, as dependent variables and the transfer difficulties as response variables in the Logistic regression model. The results of the regression analysis in Southeast China, for example, show that gender, age, education level and per capita household income are the main influencing factors of the difficulty of transferring homesteads. Among the 260 samples selected, the lack of understanding of the homestead transfer system is the main reason, and 91 farmers are unwilling to participate in homestead transfer. In the significance test, the effect of gender on farmers' willingness to transfer homesteads B=-0.037 Sig.=0.894, indicating that gender is one of the influencing factors of the difficulties in transferring homesteads. Cultural level has a significant positive effect on the willingness of farmers to transfer homesteads B=0.641, Sig.=0.001***, which further verifies that the education level is also a factor affecting the difficulty of transferring rural homesteads. The regression model established in this paper is valid and can be applied to the study of rural residential land transfer problems.