中国农村贫困人口多维特征分析

发布时间：2018-01-30 07:04

本文关键词： 农村贫困人口多维特征 Logit回归分位数回归　出处：《西北农林科技大学学报(社会科学版)》2017年03期 　论文类型：期刊论文

【摘要】：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、无宗教信仰、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。
[Abstract]:Based on the data of China Comprehensive Social Survey (CSI), the binary Logit model was used from the four dimensions of individual basic characteristics, family characteristics, social characteristics and other characteristics. To investigate the influence of these characteristic variables on the possibility of rural population falling into poverty; Furthermore, the effects of these characteristic variables on the different income levels of rural poor and non-poor people were analyzed by quantile regression model. People with the following typical characteristics are more likely to fall into poverty: the elderly, low level of education (self, spouse or parents), poor physical health, ethnic minorities, unmarried state. Families are overburdened, have no religious beliefs, have no non-farm work, work shorter weeks, and use television or the Internet less frequently (understood here as access to information related to agricultural production and non-agricultural employment). The results of comparative analysis show that for the poor and the non-poor, there are significant differences in the magnitude and direction of the influence of the characteristic variables on the income level in different dimensions.
【作者单位】：北京师范大学经济与工商管理学院;
【基金】：国家自然科学基金项目(7167030307)
【分类号】：F323.8
【正文快照】： 引言消除农村贫困已成为我国“十三五”期间实现城乡协调发展的重要目标之一。2015年10月份召开的十八届五中全会公报提出五大发展理念(创新、协调、绿色、开放和共享),并提出了全面建设小康社会目标的新的要求,包括现行标准下农村贫困人口实现脱贫,贫困县全部摘帽,解决区域性

【相似文献】