中国贫困的多维测度

本文认为,用单一的收入标准来了解贫困会低估个体真实的贫困状况,很难全面反映个体贫困的复杂性、脆弱性和持久性。本文基于Sen的能力方法,使用中国健康营养调查数据,利用模糊集方法测度中国的多维贫困状况。结论显示,相对于收入贫困,个体的教育、健康和医疗保险等贫困状况更为严重;多维贫困关于测度方法、权重较敏感,等权重下的AF多维贫困被其它方法与权重下的多维贫困严格占优,而在Betti＆Verma权重下的AF多维贫困中,则住房、卫生设施和健康对多维贫困的贡献更大;多维贫困在西部、农村及女性中依然更严重。     

四省藏区多维贫困空间分异及基层能力建设

四省藏区作为我国深度贫困地区的重要组成部分是精准扶贫精准脱贫中后程的重点和难点。基于2014年采集的“十二五”期间全国“整村推进”项目村基础数据,借鉴A-F多维贫困测度方法,对四省藏区村域多维贫困状况进行测度分解,并基于拓展的能力视角探讨了村级组织能力禀赋对四省藏区村域多维贫困状况的差异化缓解作用。结果发现:除经济贫困之外,四省藏区还遭受基础教育和生产生活条件等维度的多维贫困,且存在空间异质性,云南和青海藏区是四省藏区中多维贫困问题最严重的区域;生活水平条件和村域发展资本维度对四省藏区的多维贫困指数贡献率最高;基层组织能力禀赋会显著影响四省藏区村域的多维贫困状况、缩小地区差距,在深度贫困地区更加显著。根据研究结论,从覆盖基础教育设施、改善生产生活条件、提高基层组织能力建设三方面为深度贫困地区脱贫攻坚提供政策参考。     

Inequality in National Inter-Generational Transfers: Evidence from Colombia

Public transfers are designed with the idea of reducing poverty and inequality among specific population groups. The National Transfers Account methodology suggests the use of household head education (HHE) as a poverty proxy in the construction of profiles by socio-economic status. Considering the higher levels of inequality in developing countries, we construct and check inequality and intergenerational transfers using an alternative measure based on variables not endogenous to the underlying idea of intergenerational transfers: a Multidimensional Quality of Life Index (MQLI). We apply the methodology to a developing country, Colombia, and show that inequality and disparities in intergenerational transfers are best understood when using the MQLI.     

经济增长、收入差距与农村贫困

我国经济转型过程中同时发生的居民收入增长和收入差距扩大对农村贫困减缓具有不同的影响。本文在住户调查数据的基础上,讨论了不同时期经济增长和收入差距对于农村贫困减缓的作用大小,估算了不同年份经济增长和收入差距的贫困减缓弹性,并根据Shapley分解讨论了分项收入对贫困程度的影响以及分项收入不均等性的贫困减缓弹性。     

Rethinking multidimensional poverty through a multi-criteria analysis

The risk of poverty or social exclusion constitutes the pivotal multidimensional indicator of living conditions in the European Union. Nevertheless, it only reports the proportion of individuals at risk and disregards the depth of poverty. The indicator therefore overlooks situations of possible vulnerable groups just above the threshold and is not sensitive to all dimensions in which the individual is at risk. In this paper we propose an alternative multi-criteria based approach that overcomes these problems. Our measure captures information about the level of achievement in each dimension of all persons along the distribution and evaluates to what extent the concurrence of multiple deprivations reinforces their disadvantage. This approach permits diverse ways of aggregation with different degrees of substitutability among the achievements of each dimension according to context-specific social preferences. We illustrate our approach with an empirical analysis of 28 countries using the European Union Statistics on Income and Living Conditions database for 2016. The results reveal that work intensity may be regarded as the most determining factor in analyses of multidimensional poverty across European countries. Our measures unmask how countries with similar proportions of individuals at risk of poverty or social exclusion hide very different conditions of multidimensional poverty and highlight the variety of socioeconomic realities existing behind the dichotomy imposed by the usual ‘at risk of poverty or social exclusion’ rate.     

中国的政府公共支出与减贫政策

在中国 ,尽管农村经济增长和贫困减少取得了长足进展 ,但很少有研究对农村经济的动力源进行分析 ,而把公共投资作为农村发展和消除贫困的直接动力源的研究尤其缺乏。本文旨在弥补以前研究的空白 ,并指出各类公共投资对农村经济增长、贫困减少和地区不均等的边际效应在各地区和各时期差别很大。根据实证结果和对历史上公共支出方式的分析可知 ,农村公共支出再分配可以带来很大的潜在收益。     

Trends in Child Poverty in Australia, 1982 to 1995–96

This study suggests that child poverty in Australia fell by about one-third between 1982 and 1995–96, largely as a result of the very substantial increases in government cash payments to lower income families with children. However, while there were sharp falls in poverty among dependent children, poverty rates among 15 to 18 year-olds who had left the parental home or who were still living at home but not in full-time study increased very sharply. In addition, the after-housing poverty picture did not look so optimistic, apparently due to a compositional shift in the types of families in after-housing poverty.     

多维贫困测量及述评简

贫困的测量是各国贫困研究关注的焦点,测量方法随着对贫困概念认识的深化不断变化。如何科学合理地对多维贫困指数进行筛选,成为多维贫困分析和测量的关键。研究发现,非公理标准下的多维贫困指数具有算法简单、操作方便等优点,但缺陷在于各维度间相关性较强且权重分配具有主观性;公理化标准下的多维贫困指数,虽然在指数维度加总问题上存在异议,但满足了大部分公理的要求,且测量结果更稳健。     

Gender,entrepreneurship and food security in Niger

In many African countries, the income generated from the informal sector and the entrepreneurship is particularly important for reducing poverty. Previous studies have not found clear evidence on the relationship between self‐employment by gender and food security. We argue that this may be a result of the gender inequality in resource accessibility. In this paper, we analyze the implication of household entrepreneurship on food security in Niger, where gender disparities in resource accessibility are reduced. We find that owning female‐managed non‐agricultural enterprises is positively related to food accessibility and food availability within female‐headed households. The results draw the attention on reducing gender differences in resource accessibility in entrepreneurship for improving food security.     

Growth,inequality, and poverty reduction in developing countries: Recent global evidence

The study presents comparative global evidence on the transformation of economic growth to poverty reduction in developing countries, with emphasis on the role of income inequality. The focus is on the period since the early-mid-1990s when growth in these countries as a group has been relatively strong, surpassing that of the advanced economies. Both regional and country-specific data are analyzed for the $1.25 and $2.50-level poverty headcount ratios using World Bank Povcalnet data. The study finds that on average income growth has been the major driving force behind both the declines and increases in poverty. The study, however, documents substantial regional and country differences that are masked by this ‘average’ dominant-growth story. While in the majority of countries, growth was the major factor behind falling or increasing poverty, inequality, nevertheless, played the crucial role in poverty behavior in a large number of countries. And, even in those countries where growth has been the main driver of poverty-reduction, further progress could have occurred under relatively favorable income distribution. For more efficient policymaking, therefore, idiosyncratic attributes of countries should be emphasized. In general, high initial levels of inequality limit the effectiveness of growth in reducing poverty while growing inequality increases poverty directly for a given level of growth. It would seem judicious, therefore, to accord special attention to reducing inequality in certain countries where income distribution is especially unfavorable. Unfortunately, the present study also points to the limited effects of growth and inequality-reducing policies in low-income countries.     

Bivariate income distributions for assessing inequality and poverty under dependent samples

As indicators of social welfare, the incidence of inequality and poverty is of ongoing concern to policy makers and researchers alike. Of particular interest are the changes in inequality and poverty over time, which are typically assessed through the estimation of income distributions. From this, income inequality and poverty measures, along with their differences and standard errors, can be derived and compared. With panel data becoming more frequently used to make such comparisons, traditional methods which treat income distributions from different years independently and estimate them on a univariate basis, fail to capture the dependence inherent in a sample taken from a panel study. Consequently, parameter estimates are likely to be less efficient, and the standard errors for between-year differences in various inequality and poverty measures will be incorrect. This paper addresses the issue of sample dependence by suggesting a number of bivariate distributions, with Singh–Maddala or Dagum marginals, for a partially dependent sample of household income for two years. Specifically, the distributions considered are the bivariate Singh–Maddala distribution, proposed by Takahasi (1965), and bivariate distributions belonging to the copula class of multivariate distributions, which are an increasingly popular approach to modelling joint distributions. Each bivariate income distribution is estimated via full information maximum likelihood using data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey for 2001 and 2005. Parameter estimates for each bivariate income distribution are used to obtain values for mean income and modal income, the Gini inequality coefficient and the headcount ratio poverty measure, along with their differences, enabling the assessment of changes in such measures over time. In addition, the standard errors of each summary measure and their differences, which are of particular interest in this analysis, are calculated using the delta method.     

Poverty measurement with contaminated data: A robust approach

We examine the sensitivity of poverty indices to data contamination using the concept of the influence function, and demonstrate that an important commonly used subclass of poverty measures will be robust under data contamination. This is illustrated using simulations. In this respect poverty and inequality indices have fundamentally different robustness properties. We investigate both the case where the poverty line is exogenously fixed and where it must be estimated from the data.     

Socio-economic Determinants of Multidimensional Poverty in Rural West Bengal: A Household Level Analysis

The present study tries to estimate the incidence, depth and severity of multidimensional poverty (MDP) along with the contributions of dimensions to MDP among the rural households using multi-stage random sampling method in West Bengal. We decompose the inequality of deprivation scores between and within different socio-economic, religious and ethnic groups. The factors affecting the probability of falling in multidimensional poverty is also explored here using logistic regression, and the regression results suggest that public infrastructure plays an essential role towards explaining the variations of MDP. The present study is expected to be helpful to the development planners for better understanding of the root causes of MDP among the rural households in West Bengal.

     

Poverty, inequality, and growth in urban China, 1986–2000

Although urban China has experienced spectacular income growth over the last two decades, increases in inequality, reduction in social welfare provision, deregulation of grain prices, and increases in income uncertainty in the 1990s have increased urban poverty. Using a large repeated cross section household survey from 1986 to 2000, this study maps the changes in income, inequality, and poverty over the fifteen-year period and investigates the determinants of poverty. We find that the increase in poverty in the 1990s is associated with the increase in the relative food price and the need to purchase items that were previously provided free or at highly subsidized prices by the state, i.e., education, housing and medical care. In addition, the increased saving rate of poor households, which is due to an increase in income uncertainty, contributes significantly to the increase in poverty measured in terms of expenditure. Journal of Comparative Economics 33 (4) (2005) 710–729.     

Poverty,inequality and growth in Albania

This article studies the distribution of well‐being and, specifically, the degree of poverty and deprivation in Albania, in the years 2002 and 2005, using Living Standard Measurement Surveys (LSMS). The distribution analysis is performed by applying both one‐dimensional and multidimensional approaches, in particular to better examine the link between economic growth, inequality and poverty in Albania. Furthermore, by estimating a non‐monetary indicator, as proposed by Bossert et al. ( 2007 ), and a nonlinear principal component model together with a probit model, the paper focuses on the multidimensional measures of poverty to address the relationship between poverty and socio‐economic factors. Our evidence shows that absolute poverty decreased from 2002 to 2005 while national relative poverty increased; economic growth reduced poverty in Albania over the observed period; and living in rural and mountain areas, being female, poorly educated and with a large family increased the probability of suffering from deprivation.     

Dynamic and long-term linkages among agricultural and non-agricultural growth,inequality and poverty in developing countries

Drawing upon cross-country panel data for developing countries, the present study examines the role of agricultural growth in reducing inequality and poverty by modelling the dynamic linkage between agricultural and non-agricultural sectors. For this purpose, we have compared the roles of agricultural and non-agricultural growth and have found that agricultural growth is more important in reducing poverty, while the negative effect of agricultural growth on inequality is found in a few cases where specific definitions of inequality are adopted. Our analysis generally reinforces the case for revival of agriculture in the post-2015 discourse, contrary to much-emphasised roles of rural–urban migration and urbanisation as main drivers of growth and elimination of extreme poverty.     

Decomposing poverty changes into vertical and horizontal components

Variations in aggregate poverty indices can be due to differences in average poverty intensity, to changes in the welfare distances between those poor of initially unequal welfare status and/or to emerging disparities in welfare among those poor of initially similar welfare status. This note uses a general cost‐of‐inequality approach that decomposes the total change in poverty into a sum of indices of each of these three components. This decomposition can serve inter alia to integrate horizontal and vertical equity criteria in the poverty alleviation assessment of social and economic programmes. The use of these measures is briefly illustrated using Tunisian data.     

中国城镇贫困的变化趋势和模式:1988—2002

本文利用中国家庭收入项目(CHIP)调查数据,估计了1988—2002年中国城镇绝对贫困的变化趋势。根据CHIP调查数据所绘制的贫困发生曲线表明,不论把绝对贫困线确定在哪里,在该时期内中国城镇贫困都在显著减少。1988—1995年,收入分配不平等加剧,但此后基本保持稳定。分析收入和贫困决定因素的多元回归模型显示,教育、性别和中共党员等特征扩大了收入差异。来自政府反贫困措施的生活困难救助对减少城镇贫困影响很小。城镇贫困的缓解几乎完全归因于经济增长而非收入再分配。