%0 Journal Article
%T 中国农村贫困人口多维特征分析<br>Research on Multidimensional Characteristics of the Poor in Rural China
%A 张
%A 昭
%J 西北农林科技大学学报(社会科学版)
%D 2017
%X 利用中国综合社会调查（CGSS）数据，从个体的基本特征、家庭特征、社会特征和其他特征4个维度，采用二值Logit模型，考察这些特征变量对于农村人口陷入贫困可能性的影响；并进一步通过分位数回归模型比较分析这些特征变量对农村贫困人口和非贫困人口不同收入水平的影响。研究发现，在中国农村，具有以下几个典型特征的人群陷入贫困的可能性较大：老年人、受教育程度较低（自身、配偶或父母）、身体健康状况较差、少数民族、未婚状态、家庭抚养负担过重、宗教信仰、没有非农工作、周工作时间较短、使用电视或互联网频率较低（这里理解为获取与农业生产和非农就业相关信息）。此外，比较分析结果表明，对于贫困人口和非贫困人口，不同维度下特征变量对收入水平影响的大小和方向存在较大差异。<br>This paper investigates the poor in rural China by four dimensions which include individual’s nature, family, society and other properties, using CGSS data and logit regression model. Then, a comparative analysis is made to observe the differences of the effects from these features on income between the poor and the un-poor. The results show that those people in rural China who have the following characteristics easily get stuck in poverty: the old, low-educated, unhealthy, over-burdened, minorities, unmarried (adult), and those without religious beliefs, only engaged in agriculture, with short working hours per week and low-frequent use of TV or internet, etc. Additionally, the comparative analysis indicates that the poor and the un-poor are different in the influences on income level from the features mentioned above.
%K 农村贫困人口 多维特征 Logit回归 分位数回归&lt
%K br&gt
%K rural poverty multidimensional characteristics logit regression quantile regression
%U http://www.xnxbs.net/xbnlkjdxskb/ch/reader/view_abstract.aspx?file_no=20170305&flag=1