School of Geographical Sciences, Southwest University, Chongqing 400715, China.
Western Rural Sustainable Development Laboratory, Chongqing 400715, China.
Int J Environ Res Public Health. 2022 Apr 26;19(9):5252. doi: 10.3390/ijerph19095252.
to analyze farmers' willingness to gather homestead and its influencing factors, so as to provide decision-making basis for the rational layout of rural homestead.
questionnaire, logistic model. The results are as follows. (1) Farmers' willingness to gather homesteads is highest in dam areas, followed by hilly areas, and is lowest in mountainous areas. (2) The respondents' age, family support ratio, housing structure, whether the access road is paved, and the distance from the main road have significant negative impacts on farmers' willingness to gather homesteads, while homesteads being idle, the service life of the house, the type of daily energy use, and whether they are far from relatives after relocation have significant positive impacts on farmers' willingness to gather homesteads. (3) The main influencing factors of farmers' homestead agglomeration in dam areas are the idle situation of a homestead, housing structure, the service life of the house, and whether they are satisfied with their current homestead residence. (4) The main influencing factors of farmers' homestead agglomeration in hilly areas are the age of the respondents, the proportion of family workers, and whether they accept the relocation and are far from relatives. (5) The main influencing factors of farmers' homestead agglomeration in mountainous areas are the age of the respondents, the ratio of family support, the housing structure, and whether the access road is paved. We conclude that there are significant differences in farmers' willingness to gather homesteads and the influencing factors in different geomorphic areas. Policy makers should formulate differentiated homestead agglomeration optimization schemes and design the optimization paths of homestead agglomeration on the basis of geomorphic classification and subregion.
分析农民集聚宅基地的意愿及其影响因素，为农村宅基地的合理布局提供决策依据。
问卷调查、逻辑斯蒂模型。结果如下。（1）农民集聚宅基地的意愿在坝区最高，其次是丘陵区，在山区最低。（2）受访者的年龄、家庭支持率、住房结构、道路是否铺砌以及与主要道路的距离对农民集聚宅基地的意愿有显著的负向影响，而宅基地闲置、房屋使用寿命、日常能源使用类型以及搬迁后是否远离亲戚对农民集聚宅基地的意愿有显著的正向影响。（3）坝区农民宅基地集聚的主要影响因素是宅基地的闲置情况、住房结构、房屋使用寿命以及对当前宅基地居住的满意度。（4）丘陵地区农民宅基地集聚的主要影响因素是受访者的年龄、家庭工人比例以及对搬迁和远离亲戚的接受程度。（5）山区农民宅基地集聚的主要影响因素是受访者的年龄、家庭支持比例、住房结构以及道路是否铺砌。研究结论：不同地貌区农民集聚宅基地的意愿及其影响因素存在显著差异。决策者应根据地貌分类和分区制定差异化的宅基地集聚优化方案，并设计宅基地集聚的优化路径。
