基于湖南省城镇安置社区445户搬迁农户的微观数据，从经济发展、社会融入和心理归属三个维度选取15个变量构建社会适应性综合评价指标体系，通过熵值法和模糊综合评价法对城镇安置模式下搬迁农民社会适应性进行测算和分析，同时引用IPA模型探究各评价指标对农民社会适应性的影响大小。研究表明：城镇安置模式下搬迁农民的社会适应性总体接近于“比较适应”水平，经济发展适应维度的家庭人均收入、固定资产数量，社会融入适应维度的家庭亲友中能人数量，心理归属适应维度的对未来发展期许等指标偏低是整体处于“一般”水平的直接原因；农民承包地退出意愿、家庭人均收入、固定资产数量、家庭亲友中能人数量和搬迁后社区活动参与等指标能否提高是影响搬迁农民社会适应性的关键变量。

Based on the micro data of 445 relocated farmers in urban resettlement communities in Hunan Province, 15 variables are selected from three dimensions of economic development, social integration and psychological attribution to construct a comprehensive evaluation index system of social adaptability. The social adaptability of relocated farmers under the urban resettlement mode is measured and analyzed by entropy method and fuzzy comprehensive evaluation method. Simultaneously, IPA model is adopted to explore the impact of each evaluation index on the relocated farmers’ social adaptability. The research shows that the social adaptability of the relocated farmers under the urban resettlement mode is generally close to the "relatively adaptive" level. The overall "average" level directly result from the lower indexes such as the per capita income and fixed assets of the family in the dimension of economic development adaptation, the number of capable people in the family members and friends in the dimension of social integration adaptation, and the expectations for future development in the dimension of psychological attribution adaptation. Whether the indicators such as farmers' willingness to withdraw from contracted land, per capita family income, the number of fixed assets, the number of capable people in family members, relatives and friends, and participation in community activities after relocation can be improved is the key variable to improve the social adaptability of relocated farmers.

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国家自然科学基金项目（71973042，71473080）；湖南省社科重点项目（21ZDB014）