中国城镇家庭能源贫困评估*——基于微观调查数据的研究

我国扶贫工作重点已进入新阶段,从消除绝对贫困向缓解发展不平衡、不充分的相对贫困转变,从解决收入贫困向解决多维贫困转变,从重点解决农村贫困问题向统筹城乡扶贫转变。能源是人民生活质量的重要指标,能有效反映福利水平。了解我国城镇家庭能源消费的基本特征、准确测度能源贫困水平与分布,有助于为今后扶贫工作提供资料基础和科学管理依据。本文构建消费者能源消费决策分析框架,并运用第一次中国家庭能源消费调查数据,考察居民收入与能源消费之间的关系,并对中国城镇家庭能源贫困状况进行测度。研究发现,居民收入与能源消费之间存在S型非线性关系,能源价格、家庭特征、地域特征等因素在能源消费决策中都发挥重要影响。我国城镇家庭相对能源贫困较为严重,主要表现为能源可支付性问题。能源贫困率在20%左右,其中电力贫困程度更为严重,超过25%。家庭收入增长、户主受教育程度提高、城市电力基础设施的普及、城市环境规制水平的提升会显著降低城镇家庭陷入能源贫困的可能性,而电力价格上涨会显著增加城镇家庭陷入能源贫困的概率。     

Less debt,more schooling? Evidence from cross-country micro data

Soaring levels of public debt in low-income countries are fuelling concerns about their ability to achieve the Sustainable Development Goals, such as free access to primary education. In the late 1990s and 2000s, international financial institutions introduced a series of debt relief initiatives aimed to restore debt sustainability among highly indebted countries. This study examines the impact of these initiatives on primary school attendance. We exploit the temporal variation in the implementation of these policies, in combination with individual-level data from 177 Demographic and Health Surveys covering more than 1.5 million school-age children from 44 low-income countries to implement difference-in-differences and spatial difference-in-discontinuity estimators. Results suggest that debt relief initiatives, by freeing up additional public resources, have significantly contributed to increasing primary school attendance in heavily indebted countries. Impact heterogeneity analysis also shows that debt relief has been effective at reducing wealth-based, intergenerational, religious, ethnic and spatial inequalities in education. Our results provide robust evidence to assert that debt relief, in combination with other financing sources, can contribute to improving educational outcomes in highly indebted poor countries.     

科技扶贫过程中利益相关主体的博弈分析

建立由政府、驻村科技人员以及扶贫客体（贫困农户和村委会）组成的三方博弈模型分析科技扶贫过程中涉及的相关利益主体的行为动机。结果表明扶贫效果与贫困主体自身投入的要素资源量成反比,与政府投入的扶贫资源量以及驻村科技人员的努力程度成正比。     

《长冈乡调查》之新解读——从社会工作的视角

青年时期的毛泽东多次深入农村进行了一系列调查研究,为成功探索中国革命新道路做出了卓越贡献。兴国县长冈乡乡苏由于能够与群众打成一片,工作很有成效而成为"苏维埃工作的模范"。七十多年过去以后,重新解读二十世纪三十年代毛泽东的《长冈乡调查》,发现其中包含有许多社会工作元素,这为我们理解毛泽东著作提供了一个全新的视角。     

基于GIS技术的人居环境自然适宜性评价研究——以遵义市为例

以公里格网为基本单元,基于GIS技术,建立包括地形起伏度、温湿指数、水文指数和地被指数的人居环境自然适宜性评价模型,系统评价遵义市不同地区的人居环境自然适宜性与限制性。研究表明,遵义市人居环境以适宜性为主要特征,自然适宜程度整体呈现出由西北向东南递增的趋势,其中44.41%为一般适宜区、54.13%为比较适宜区以及极小比例为临界适宜区;遵义市人居环境自然条件较好,地形、地被、水文和气候对人口分布的限制性不明显,其中地形条件对人口分布的限制性最强,其次是地被条件。     

A NON‐PARAMETRIC MEASURE OF POVERTY ELASTICITY

We estimate the growth elasticity of poverty (GEP) using recently developed non‐parametric panel methods and the most up‐to‐date and extensive poverty data from the World Bank, which exceeds 500 observations in size and represents more than 96 percent of the developing world's population. Unlike previous studies which rely on parametric models, we employ a non‐parametric approach which captures the non‐linearity in the relationship between growth, inequality, and poverty. We find that the growth elasticity of poverty is higher for countries with fairly equal income distributions, and declines in nations with greater income disparities. Moreover, when controlling for differences in estimation technique, we find that the reported values of the GEP in the literature (based on the World Bank's now‐defunct 1993‐PPP based poverty data) are systematically larger in magnitude than estimates based on the latest 2005‐PPP based data.     

财政支农投入的农村减贫效应研究——基于中国改革开放30年的考察

基于对财政支农投入与农村贫困减少之间关系的考察,理论推导发现:在特定的经济环境和技术水平约束下,财政支农投入增长的农村减贫效应呈现边际递减规律。利用误差修正模型(ECM)的实证研究表明:改革开放30年间,总体上,财政支农投入对农村贫困缓解起到了一定的作用。短期内,财政支农投入增长对农村减贫效果较为明显;而长期内,财政支农投入的农村减贫效果趋于平稳。短期有效长期平稳的减贫效果,要求政府的财政支农投入增长具有持续性。     

中国农村贫困与反贫困制度研究

文章认为,新形势下农村贫困问题复杂：绝对贫困大有改善,相对贫困日益突出,返贫现象凸显严重,追根溯源权利贫困是导致农村贫困的根源。文章透过制度分析,通过重塑农村组织,深化市场体制,完善制度创新,强化运行机制,厉行执行监督系统化措施,构建农村反贫困长效治理机制,强化制度之间的联动效应,将农村贫困治理融入区域和整体社会、政治、经济、文化以及环境协调与可持续发展框架内,实现农村扶贫工作的良性发展。