INCOME QUALITY AND FARMERS'WILLINGNESS TO WITHDRAW RESIDENTIAL LAND:A U-SHAPED RELATIONSHIP——EVIDENCE FROM THE SURVEY DATA OF NINGXIA
This research is intends to explore the impact of income quality on farmers'willingness to withdraw from their homestead,hoping to find out the relationship between the two and find out how to improve farmers'willingness to withdraw from their homestead.The focus of homestead withdrawal intention is to moderately promote homestead withdrawal,so as to achieve the purpose of land conservation and intensive use.Firstly,the quality of farmers'income was divided into five dimensions:income adequacy,stability,structure,cost and knowledge.Secondly,the entropy method was used to weight various indicators of income quality.Thirdly,the value of each sub-dimension of income quality was calculated,and then the value of income quality of each farmer was got by summing.Finally,the binary logistic model was adopted to empirically study the impact of income quality on farmers'willingness to quit their homestead.The results were showed as follows.(1)In areas with relatively backward economic development,farmers'willingness to quit their homestead would first decline and then rose with the growth of income quality.(2)With the growth of income quality,small-scale farmers'willingness to withdraw from their homestead ushered in a turning point before large-scale farmers.The conclusion is listed as follows.The relationship between income quality and farmers'willingness to withdraw from homestead is a"U"curve,and the impact of income quality on farmers'willingness to withdraw from homestead is heterogeneous.It is suggested to broaden the income channels of farmers,give them the opportunity to work skills training,continue to promote farmers'income increase,effectively improve the quality of farmers'income,and promote willing and qualified people to withdraw from the homestead voluntarily and paid.
income qualitywillingness to withdraw residential landA U-shaped relationshipBinary Logistic modelNingxia Hui Autonomous region
NETL
NSTL
万方数据
