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How to identify poor immigrants? - An empirical study of the Three Gorges Reservoir in China

机译:如何识别贫困移民? - 中国三峡库区的实证研究

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This paper aims to study on the precise identification and targeting of immigrant poverty in the TGRR, with a multi-dimensional poverty line as a standard, which has transcended the traditional income poverty line. Then, we figured out the changing trend and the causes of immigrant poverty under the perspective of multidimensional poverty. Based on the dual cutoff method and regression analysis, the study results show that the discrepancy of poverty before and after immigration is significant, but the poverty problem of immigrants in the TGRR is still serious. The current multi-poverty incidence of immigrants is 30.15%, which means that there are still 2.3097 million people under poverty. The major causes of poverty in this region are poverty in assets, poverty in education and poverty in health. The poverty contribution rate of land scarcity has increased from 12.16% to 29.52% with the deterioration of land loss, which has a negative effect on immigrants' livelihood. The results reveal several outstanding poverty problems in this region: the coverage of social security of immigrants is far from ideal; There are still 12.75% of the impoverished immigrants without medical insurance and 11.36% without pension insurance; the percentage of female laborers, the education level of laborers, the percentage of agricultural expenditure and the percentage of medical expenditure have significant correlations with immigrants' poverty in this region. The paper argues that the precise identification and targeting of poverty reduction in China should be undertaken from a multidimensional perspective.
机译:本文旨在研究TGRR中的移民贫困的精确识别和定位,以多维贫困线为标准,已超越传统的收入贫困线。然后,我们根据多维贫困的角度弄清楚了移民贫困的不断变化和原因。基于双截止方法和回归分析,研究结果表明,移民前后贫困的差异很大,但TGRR中移民的贫困问题仍然严重。目前的移民的多贫困发病率为30.15%,这意味着贫困仍有230.97万人。该地区贫困的主要原因是资产,教育贫困和健康贫困的贫困。土地稀缺的贫困率从12.16%增加到29.52%,降低土地损失的恶化,这对移民生计产生了负面影响。结果揭示了该地区的几个突出贫困问题:移民社会保障的覆盖范围远非理想;没有医疗保险的贫困移民仍有12.75%,仍有11.36%,没有养老保险;女性劳动者,劳动力教育水平,农业支出的百分比和医疗支出百分比与该地区移民贫困的百分比具有显着相关性。本文认为,应从多维视角下进行精确的识别和占据中国减贫的目标。

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