摘要
本文使用修正的FGT多维贫困测量方法测算了贫困村庄建档立卡户与非贫困户的多维贫困指数。研究发现,对贫困地区总体而言,卫生设施、生活用主要燃料和生产性资产是贫困发生率最高的指标。分指标和农户类型的测度表明,非建档立卡户的多维贫困强度与建档立卡户接近,两种类型农户的多维贫困差异并不明显。与非贫困户相比,建档立卡户在家庭人均纯收入、健康状况、住房以及耐用品拥有量等指标上的贫困程度更深。分区域测度表明,地区经济发展水平高低与多维贫困指数并不存在必然联系,经济发展水平高的地区也存在深度多维贫困群体。进而,本文比较了多维贫困与收入贫困的匹配差异,98%的收入贫困户同时陷入了多维贫困,而多维贫困户中非收入贫困户的比重为53%。这说明,从多维测量的视角来看,收入维度依然是多维贫困识别的重要因素,但是非收入因素对农户贫困的影响更大。
To better measure the multidimensional poverty index of poor households and non-poor households who are identified by the government＇ s poverty card, this paper employed the revised FGT multidimensional poverty measurement method and found that： firstly, for the poor area, the highest rates of poverty incidence are sanitation, main fuel of living and productive assets. Secondly, the measurement of the sub-index and the peasant households＇ type results also show that the multidimensional poverty difference between the two types of rural households is not obvious. Poor households have higher rates of poverty in terms of per capita net income, health condition, housing and the amount of durable goods. Thirdly, the measurement of regional separation result shows the regional economic development level is not necessarily linked with the multidimensional poverty index, regions with high economic development level also have deep multidimensional poverty group. Furthermore, this paper compares the matching differences between multidimensional poverty and income poverty. The result shows that 98% of the low- income households fall into the multidimensional poverty, while the proportion of non- income poverty households in multidimensional poverty is 53%.This indicates that from the perspective of multidimensional measurement, the income dimension is still an important factor for multidimensional recognition, but the non-income factors have a greater impact on the poverty of rural households.
出处
《经济评论》
CSSCI
北大核心
2018年第2期30-43,共14页
Economic Review
基金
国家社会科学基金项目"实施精准扶贫
精准脱贫的机制与政策研究"(项目编号:15ZD026)的资助
