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应用来自南水北调中线工程丹江口库区的入户调查问卷数据,根据人均年收入将库区居民划分为贫困群体和非贫困群体,在此基础上建立Binary Logistic Regression模型,对造成其边缘化贫困的影响因素进行实证分析。研究发现:以耕地为代表的传统物质资本对库区居民的贫困仍然具有举足轻重的影响,耕地数量的缺乏和质量的低下极易造成库区居民的贫困;教育、培训和迁移等人力资本因素对库区居民脱贫有重要的作用,且比健康因素的影响更为突出;居民家庭社会资本的质量比单纯的数量更为重要,与政府部门有着密切关系的居民家庭,不仅其贫困的可能性要小得多,且在获取经济收入方面也有独特的优势。
Based on the household survey data from the Danjiangkou Reservoir Area of the Middle Route of South-to-North Water Diversion Project, the Binary Logistic Regression model is established based on the annual per capita income of the reservoir area to be divided into the poor and the non-poor, and the impact on the marginalized poverty Factors for empirical analysis. The study found that the traditional material capital represented by cultivated land still plays an important role in the poverty of residents in the reservoir area. The lack of cultivated land and the low quality can easily lead to the poverty of the residents in the reservoir area. The human capital factors such as education, training and relocation The residents in reservoir area have an important role to play in getting rid of poverty and are more prominent than the impact of health factors. The quality of social capital of households is more important than the mere quantity, and the families with close relationship with government departments not only have the possibility of poverty Much smaller, and have unique advantages in accessing economic income.