Zhu Di, Wang Yinghong, Niu Qian, Wu Zebin, Wu Lijun
School of Public Policy and Management, China University of Mining and Technology, Xuzhou, 221116, China.
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, China.
Heliyon. 2024 May 1;10(10):e30587. doi: 10.1016/j.heliyon.2024.e30587. eCollection 2024 May 30.
In order to solve the issue of idle rural homesteads and enhance the welfare of peasant households, the Chinese government has implemented various rural homestead withdrawal patterns. In the context of land spatial planning regulation, based on the field survey data from 210 peasant households in Xuzhou City and Ganzhou City, this study constructs a bilateral matching model between rural homestead withdrawal patterns and types of welfare needs of peasant households. This study uses a Discrete Particle Swarm Optimization algorithm improved on the 0-1 knapsack strategy to solve the matching model, aiming to find the optimal homestead withdrawal patterns that match the types of peasant households. The results show that: (1) The matching of rural homestead withdrawal patterns and types of peasant households conforms to the principle of comparative advantage. (2) In the case of "one-to-one matching" between peasant households and homestead withdrawal patterns, matching the "economic-material-oriented" peasant households with the withdrawal pattern of "monetary compensation", matching the "social-service-oriented" peasant households with withdrawal pattern of "indicator replacement", and matching the "welfare-assistance-oriented" peasant households with the withdrawal pattern of "asset replacement". (3) The bilateral overall preference of the combined rural homestead withdrawal patterns is higher than that of the single rural homestead withdrawal pattern, and satisfaction has increased by at least 8 %. The authors argue that the government should design and implement diversified withdrawal patterns based on a full understanding of the welfare needs of peasant households.
为解决农村宅基地闲置问题，提高农户福利，中国政府实施了多种农村宅基地退出模式。在土地空间规划调控背景下，基于徐州市和赣州市210户农户的实地调查数据，本研究构建了农村宅基地退出模式与农户福利需求类型的双边匹配模型。本研究采用基于0-1背包策略改进的离散粒子群优化算法求解匹配模型，旨在找到与农户类型相匹配的最优宅基地退出模式。结果表明：（1）农村宅基地退出模式与农户类型的匹配符合比较优势原则。（2）在农户与宅基地退出模式“一对一匹配”的情况下，将“经济物质导向型”农户与“货币补偿”退出模式相匹配，将“社会服务导向型”农户与“指标置换”退出模式相匹配，将“福利救助导向型”农户与“资产置换”退出模式相匹配。（3）农村宅基地组合退出模式的双边总体偏好高于单一农村宅基地退出模式，满意度至少提高了8%。作者认为，政府应在充分了解农户福利需求的基础上，设计并实施多样化的退出模式。
