摘要
基于苏州、宿迁1 292份农户调研数据,采用问卷调查和二元Logit回归模型等方法,分别从农户特征、行为态度、主观规范、知觉行为控制等方面对农户宅基地退出意愿及其影响因素进行分析。结果表明:影响农户退出宅基地意愿的主要因素有年龄、受教育程度、恩格尔系数、宅基地总面积、居住条件改善、医疗卫生条件提高、就业情况改善、亲人支持退出、政府支持退出、邻居支持退出以及是否了解“一户一宅”政策;样本中愿意退出宅基地的农户略微少于不愿意退出宅基地的农户,与苏州农户相比,宿迁农户更愿意退出宅基地。基于此,为引导有条件的农户退出宅基地,建议政府部门应注重宅基地退出补偿对象的特殊性,建立差别化退出补偿机制,着重解决经济欠发达地区农户的就业、养老等问题,建立合理的保障机制。
Based on the survey data of 1 292 farmers in Suzhou and Suqian,this paper analyzed farmers’ willingness to homestead withdraw and its influencing factors from the aspects of farmers’ characteristics,behavior attitude,subjective norms and perceived behavior control by means of questionnaire survey and binary Logit regression model.The results show that the main factors affecting farmers’ willingness to homestead withdraw are age,education level,Engel coefficient,total area of homestead,improvement of living environment,improvement of medical and health conditions,improvement of employment,support from relatives and government,neighbors and whether they understand the policy of “one household,one house”.The number of farmers who are willing to homestead withdraw are slightly smaller than those who are not willing to homestead withdraw.Compared with farmers in Suzhou,farmers in Suqian are more willing to homestead withdraw.Therefore,in order to guide qualified farmers to withdraw from homestead,it is suggested that government departments should pay attention to the particularity of the compensation object of homestead withdraw,establish a differentiated exit compensation mechanism,focus on solving the problems of employment and pension of farmers in economically underdeveloped areas,and establish a reasonable guarantee mechanism.
作者
王俊龙
郭贯成
谈林沂
WANG Junlong;GUO Guancheng;TAN Linyi(College of Public Administration,Nanjing Agricultural University,Nanjing 210095,China;China Resources&Environment and Development Academy,Nanjing Agricultural University,Nanjing 210095,China)
出处
《农林经济管理学报》
CSSCI
北大核心
2023年第1期123-132,共10页
Journal of Agro-Forestry Economics and Management
基金
国家社会科学基金重点项目(20AGL024)。
