Profiling the Fuzzy Latent Structure of Multidimensional Poverty: Toward Valuable Insights for Poverty Policymakers

Abstract

Several multidimensional poverty indices have been proposed, and have been extensively studied in the literature. On the other hand, the need for aggregation of poverty indicators into one multidimensional index has been questioned. It has been argued even so that this aggregation can be misleading for political targeting strategies. Subsequently, some researchers have advocated that the use of the latent class analysis would address these issues. However, this setting does not allow to take into account the fuzzy nature of the latent poverty concept. The contribution here is to use the Grade-of-Membership (GoM) model to profile the fuzzy latent structure of multidimensional poverty, for a more realistic handling of this phenomenon. The application of the GoM methodology to multivariate poverty data for the Tunisian case reveals four most prevalent multidimensional poverty profiles. The results emphasize the role played by contextual effects. Indeed, the rural cluster is suffering more intense deprivation and groups in the central and coastal regions have a more comfortable status in comparison with the group of households residing in inland regions. A thorough analysis of these patterns is put forward in this research, giving valuable insights to policy makers.     

Financial inclusion and poverty: a tale of forty-five thousand households

ABSTRACT

Using a new nationally representative survey data covering approximately 45,000 Indian households, we examine the effects of financial inclusion on poverty. We construct a multidimensional indicator of financial inclusion and examine the effects of financial inclusion on multiple measures of poverty including the household Poverty Probability Index (PPI), household deprivation scores, and poverty line. We find that financial inclusion has a strong poverty-reducing effect. This finding is consistent across the different measures of poverty used, and alternative ways of measures financial inclusion. These results underpin the importance of financial inclusion and the need for its promotion across countries.     

Examining energy poverty in Chinese households: An Engel curve approach

This article is first to model energy poverty in Chinese households using an Engel curve approach. To analyse the determinants of energy poverty and energy expenditures across households, we avail the 2015 wave of the Chinese General Social Survey (CGSS). Possible presence of endogeneity is accounted for in the model specification as well as by using the Lewbel heteroscedasticity identified endogenous variables estimator. In addition, we are the first to scrutinise disparity and discrimination by conducting the Blinder–Oaxaca decomposition of energy poverty model by gender, ethnicity, region (Eastern vs. non-Eastern provinces), and urbanisation status (rural vs. urban residents). Our analysis shows: (i) education is the key determinant of various energy poverty measures and energy expenditure shares across Chinese households; (ii) other determinants including fossil fuel mix and electricity price discrimination are found to worsen energy poverty, on average. However, fossil fuel mix is found to increase expenditure share of total energy, electricity, and coal and decrease that of biomass; and (iii) the Blinder–Oaxaca decomposition analyses show no statistically significant gender or ethnic discrimination in energy poverty rates. However, there is substantial divide between Eastern and non-Eastern provinces and between rural and urban households—with these groups also discriminated against when accessing clean cooking fuels and technologies. The Blinder–Oaxaca results also generally support the logistic and the Lewbel energy poverty model findings.     

农户生计资产量化分析方法的应用与验证——基于福建省农村最低生活保障目标家庭瞄准效率的调研数据

农村最低生活保障制度是以贫困农户作为瞄准单位,其运行成功与否取决于制度实施中目标家庭瞄准的准确性。本文从农户生计资产的视角,通过构建农户生计资产指标体系,对低收入农户生计资产进行量化分析,试图达到对农村最低生活保障制度目标家庭准确瞄准的目的。实证结果表明,农户生计资产量化分析可以直观地显示农户生计资产的组合及其配置状况,可用来判断农户整体生活状况,并可对低收入农户进行准确排序。农户生计资产量化分析方法不失为提高制度瞄准效率的一种有益尝试。     

Land Use in the 21st Century: Contributing to the Global Public Good

This paper focuses on the evolution of global public goods related to the world's land resources over the course of the 21st century, their potential impacts on the world's poorest households, as well as prospects for policy interventions aimed at enhancing these outcomes. It begins with global scale projections to 2100 of land use and associated goods and services, including food, fuel, timber, greenhouse gas emissions, carbon sequestration and biodiversity. This is followed by in‐depth discussion of each of these services and the challenges of providing these public goods in sufficient quantities to advance societal welfare—especially that of the world's poorest households. The paper concludes with a discussion of policies aimed at promoting the provision of land‐based public goods and how they could be altered to be more pro‐poor. Within this context, the paper argues that access to geospatial analysis tools and information on climate, land use and tenure, poverty and environmental indicators will become increasingly valuable to both public and private decision makers.     

Poverty,competition, democracy,and ownership: A general equilibrium model with vertical preferences

We consider a general equilibrium model where individuals are simultaneously workers, consumers, and shareholders, with two possible market structures: Monopoly and Duopoly, and two extreme ownership structures: egalitarian and concentrated. Considering three standard poverty indicators, the questions are, whether more competition generates more or less poverty for a given ownership structure; and whether a democratic choice between Monopoly and Duopoly leads to the alternative with less poverty. When the ownership is concentrated, we show that Duopoly generates less poverty than Monopoly and the majority votes for the alternative with less poverty. When the ownership is egalitarian, Duopoly may generate more or less poverty and democratic choice alleviates poverty regarding at least one poverty indicator and worsens poverty regarding at least another one, the three poverty indicators never converging. An empirical study on the effect of competition on poverty supports to some extent our theoretical findings.     

Relative price shifts,economies of scale and poverty during economic transition1

Economic transition is associated with significant shifts in relative prices between private and public goods. If, as a result, public goods claim a larger share of total expenditures, economies of scale in consumption increase. We show how relative price changes might alter the welfare of different‐sized households in the short run and over time. We illustrate, for a selection of transition economies, that conventional poverty profiles are quite sensitive to assumptions made about economies of scale in consumption. In particular, the common view that large households with many children are poor relative to small households (such as those comprising the elderly) is shown to be highly non‐robust.     

Assessment of the effects of targeted poverty alleviation policy on differently poverty-stricken households: A multi-propensity score weighting model

Eliminating poverty is a multifaceted global challenge and a focal point of global development governance. With the implementation of targeted poverty alleviation (TPA), China's poverty alleviation efforts have had significant achievements. This study provides a new perspective by classifying poverty-stricken households based on poverty root causes at the household level, a multi-propensity score weighting model based on counterfactual inference is employed to examine the poverty reduction effect and policy precision on six non-equivalent poverty-stricken household groups in a Chinese county. The results reveal that the poverty reduction effects differed among poverty-stricken households with different root causes of poverty. Specifically, households impoverished due to disability have the lowest income of the six groups. The assistance policy effects also vary significantly and are found to be poorly suited to poverty-stricken households a lack of labor force and funds. A robustness test confirms this conclusion and a more nuanced analysis reveals that these differences are reflected in the wage and transfer incomes. Therefore, to ensure the stability of poverty reduction and the sustainability of income for poverty-stricken households, relevant associated aid policies need to place different emphases based on their household characteristics.     

Migration and urban poverty and inequality in China

Using data from recent surveys of migrants and local residents in ten cities in 2005, this paper examines how migration influences measurements of urban poverty and inequality in China, and also compares how other indicators of well-being differ for migrants and local residents. Contrary to previous studies that report that the income poverty rate of migrant households is 1.5 times that of local resident households, we find relatively small differences in the poverty rates of migrants and local residents. Although the hourly wages of migrants are much lower than those of local residents, migrant workers work longer hours and have lower dependency ratios and higher labor force participation rates. Including migrants increases somewhat measures of urban income inequality. Significant differences between migrants and local residents are found for non-income welfare indicators such as housing conditions and access to social insurance programs.     

POVERTY IN RURAL INDIA: CASTE AND TRIBE

This paper analyzes the determinants of rural poverty in India, contrasting the situation of scheduled caste (SC) and scheduled tribe (ST) households with the non-scheduled population. The incidence of poverty in SC and ST households is much higher than among non-scheduled households. By combining regression estimates for the ratio of per capita expenditure to the poverty line and an Oaxaca-type decomposition analysis, we study how these differences in the incidence of poverty arise. We find that for SC households, differences in characteristics explain the gaps in poverty incidence more than differences in transformed regression coefficients. In contrast, for ST households, differences in the transformed regression coefficients play the more important role.     

Impact of Socio-Economic factors on Consumption Expenditure through Public Distribution System in rural India

Impact of public distribution system (PDS) on poverty in rural India is established; however, how the households from different socio-economic backgrounds are procuring through PDS, relatively, needs study. With this objective, influence of factors like poverty status, family size, social group, religion, gender and occupation on probability of household incurring consumption expenditure through PDS has been studied by using unit level data of consumer expenditure survey of National Sample Survey Office (NSSO) and multinomial logistic regression technique. The study is restricted to food grains rice and wheat and reveals that probability of consumption, through PDS, of minorities, economically and socially backward classes are higher, in general.

     

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.

     

A Micro‐Econometric Analysis of the Antipoverty Effect of Social Cash Transfers in Italy

We analyze the anti‐poverty effect of social cash transfers using a micro‐econometric approach. Aggregate analyses, based on comparing average poverty indicators before and after public transfers, fail to address who receives the transfers and how the transfers are distributed among the poor. We consider three dichotomous outcome variables: (i) poverty status before the receipt of transfers; (ii) the receipt of transfers; and (iii) poverty status after the receipt of transfers. We use a trivariate probit model with sample selection, connecting the outcome variables to the characteristics of the household and its head. Our empirical results highlight that the Italian social transfers system overprotects certain household typologies at the expense of others, as social transfers are primarily awarded to employees with permanent positions and the elderly, while the system is not generous enough to large households with dependant children, the self‐employed, temporary contract workers, and the unemployed.     

Violence exposure and poverty: Evidence from the Burundi civil war

We investigate the relationship between exposure to the Burundi Civil War and household (food) poverty, using a three-wave household-level panel matched with data on local-level violence. We find that households living in localities exposed to the war have been subsequently more likely to be poor than non-exposed households. Within-household estimations, controlling for time-varying heterogeneity at the province level, confirm the positive impact of violence exposure on household poverty. We investigate some of the potential mechanisms at play in the violence – poverty nexus, and the role of violence exposure in household poverty dynamics over time. Our results notably suggest that the destruction of physical capital, as well as a shift of exposed households out of non-farm activities, shape poverty dynamics and lower their chances of durably remaining out of poverty.     

“When Life Gives You Lemons”: Using Cross-Sectional Surveys to Identify Chronic Poverty in the Absence of Panel Data

At the core of poverty eradication is the need to eliminate that poverty that is persistent over time (chronic poverty). Unfortunately, traditional approaches to identifying chronic poverty require longitudinal data that is rarely available. In its absence, this paper proposes an alternative approach that only requires 1 year of cross-sectional data on monetary and non-monetary poverty. It puts forth two conjectures and contends that the combined profile of a household as both income poor and multidimensionally poor can be used as a proxy of that household being chronically income poor. To explore the viability of this approach, we use a probit model and longitudinal data for three Latin American countries to estimate households’ probabilities of remaining in income poverty based on their past income and multidimensional poverty statuses. We find empirical support for the approach that is significant, consistent across countries, and robust to various controls and periods of analysis.     

Wage subsidies, work incentives, and the reform of the Austrian welfare system

We analyze the employment and income effects of a needs-based minimum benefit system (“Bedarfsorientierte Mindestsicherung”) which has recently been introduced in Austria. The aim of this reform was to reduce poverty as well as to increase work incentives for recipients of social assistance. On the basis of a behavioral microsimulation model we show that this new system slightly increases employment but reduces incomes for the poorest households remaining unemployed. As an alternative, we analyze a budgetary neutral reform proposal which reduces financial incentives for marginal employment and provides a wage subsidy rewarding working longer hours. This alternative reform would yield larger positive employment effects, but more households would suffer from income losses. Overall, income inequality and poverty are affected little, however, both under the new social welfare system and the alternative reform proposal.     

Generational Accounting in Portugal

The social and economic developments in European countries have put pressure on their national budgets and threaten the sustainability of public policies. The traditional fiscal indicators, specifically, the deficit and the debt, which are still used today as guiding tools, have proved to be insufficient, due to their arbitrary nature and short-term focus. In this paper, we resort to an alternative fiscal indicator, known as ‘generational accounting’, which is able to incorporate the future changes in the demographic structure of the population, and their corresponding impact on public accounts. It is also able to evaluate how current fiscal policy affects, not only, current generations, but also future generations. We apply this methodology to assess the long-term fiscal situation of Portugal, and compare the results with those obtained in 1999. In this context, we also explore additional scenarios, as well as additional indicators, in order to provide some robustness to our findings. Our results show that, if the current fiscal policy is not significantly changed, future generations will face a much heavier fiscal burden than current generations.

     

TRUE HOUSEHOLD EQUIVALENCE SCALES AND CHARACTERISTICS OF THE POOR IN THE UNITED STATES

In this paper we deal with the question of which measures of economic well-being are adequate to identify those groups of households in the U.S. whose economic conditions justify public concern and assistance. We derive a utility based measure of economic well-being from the estimation of a complete set of consumer demand equations. The demand system is Lluch's Extended Linear Expenditure System (Lluch, 1973). Household characteristics are incorporated using the scaling method proposed by Barten (1966). Using the welfare indicator derived, we study the composition of the poorest part of the population, using data from the 1972–73 Consumer Expenditure Survey. We compare our results with those obtained using various other welfare indicators, including the official U.S. poverty line. We show that using different family composition adjustments significantly and systematically affects just who are considered to be at the bottom of the welfare distribution. We finally suggest that program designers therefore can improve their target efficiency by carefully selecting from among the acceptable indices of welfare when defining program eligibility.     

FGT Old‐Age Poverty Measures and the Mortality Paradox: Theory and Evidence

Income‐differentiated mortality, by reducing the share of poor persons in the population, leads to the “Mortality Paradox”: the worse the survival conditions of the poor are, the lower is the measured poverty. We show that FGT measures (Foster et al ., 1984 ) are, in general, not robust to variations in survival conditions. Then, following Kanbur and Mukherjee ( 2007 ), we propose to adjust FGT poverty measures by extending the income profiles of the prematurely dead, and we identify the condition under which so‐adjusted FGT measures are robust to mortality changes. Finally, we show, on the basis of data from 2007 on old‐age poverty in 11 European economies, that the effect of extending income profiles of the prematurely dead on poverty measurement varies with: (1) the fictitious income assigned to the prematurely dead; (2) the degree of poverty aversion; (3) the shape of the (unadjusted) income distribution; and (4) the strength of the income/mortality relationship.