Abstract: Using logistic regression model, factors that affect peasants house site displacement in Putian city of Fujian province are analyzed. Results show that: peasants house site displacement is affected by the multiple impact of the five dimensions of seven variables, according to the contribution of factors affecting arrangement available: namely, vocational skills training ＞ education degree ＞ policy to solicit the views of the ＞ resettlement housing area ＞ policy understanding of degree ＞ social service and Security ＞ geographical location and transportation. Accordingly, it is proposed to increase the propaganda of the relevant policies of the state, to improve the peasants cognition of the replacement policy and the relevant social security system, and to strengthen the relevant countermeasures and suggestions of the innovation of system and mechanism.

Key words: house site displacement, influencing factor, logistic regression model

摘要： 运用Logistic回归模型，论证分析影响福建省莆田市农户宅基地置换效果的因素，结果表明农户宅基地置换效果受到5个维度中7个变量的多重影响。根据影响因素的贡献量大小依次排列为职业技能培训、受教育程度、政策意见征求、安置房面积、政策了解程度、社会服务和保障、地理区位交通。据此提出加大国家相关政策的宣传力度，提高农户对置换政策的认知，完善相关社会保障体系，加强体制机制创新等对策建议。

关键词: 宅基地置换, 影响因素, Logistic回归模型