Welfare states and inequality: Institutional designs and distributive outcome

Comparative studies on inequality have suffered from severe methodological problems, which mean that issues related to the causes of cross-national variation in inequality remain unresolved. In comparative welfare state research, the preoccupation with expenditure data has also meant that the welfare state itself has remained a black box. By examining new comparative data on social policy institutions and income inequality among different population groups, this study provides a more precise empirical basis for evaluating different, and divergent, theories on the welfare state and equality. Three cases will be used as illustrations: family policy and child poverty, unemployment benefits and poverty among working aged, and old-age pensions and poverty among the elderly. The results suggest that the key for understanding the effect of the welfare state lies in the institutional design—in the level and distribution of social rights. The importance of the welfare state for social stratification deserves to be given more attention by sociological research in the future.     

A New Generalized Variance Approach for Measuring Multidimensional Inequality and Poverty

The paper suggests a new generalized variance concept for measuring multidimensional inequality of a stratified society, based on multivariate statistical methods, where the members of society form a cloud in the oblique space of dimensions of inequality, such as income, expenditure and property. The cloud presents the multidimensional inequality capsulized in the cloud. The goal is to condense all the inequality information embodied by the cloud into a composite compact metric characterizing both the shape and the inner structure of the cloud. Contrary to the conventional literature that considers multidimensionality as a unidimensional weighted combination of the dimensions, our new composite index measures the inequality of the configuration of the points in the cloud. Our aim is twofold. First, we introduce the Inequality Covariance Matrix (ICM) assigned to the cloud, with elements measuring the correlations among dimensions. Having ICM, we propose the Generalized Variance (GV) of ICM to measure the composite Generalized Variance Inequality (GVI) level. Second, to evaluate the stratum-specific structure of the overall inequality, we suggest a new two-stage procedure. In the first stage, we divide the total GVI into between-groups and within-groups effects. Then, in the second stage the contributions of the strata to the within-groups inequality and, the contributions of the dimensions to the between-groups inequality are calculated. This GVI approach is sensitive to the correlation system, decomposable into stratum effects and, the number of dimensions is not limited. Moreover, including the log-dimensions in the analysis, GVI yields an Entropy Covariance Matrix giving a new Generalized Variance Entropy index. Finally, the GVI of censored poverty indicators means multidimensional poverty measurement. This special complex task is not yet solved in the traditional literature so far.

     

The Poverty-Growth-Inequality Triangle: Asia 1960s to 2010s

The main objective of this paper is to disentangle the poverty-growth-inequality triangle for Asia, its sub-regions and individual economies by constructing poverty and inequality profiles, decomposing poverty changes and modelling inequality. Due to a shortage of unit record data, analytical techniques are developed for estimating the poverty headcount ratio and regional inequality with minimum data requirements. Analytical results confirm significant reductions in poverty across the board due to fast growth, although the benign effect of growth on poverty was offset by worsening distributions in many economies. Furthermore, the poverty-reducing effect of growth has been diminishing over time and converging to 0 for many countries. Also, the cost of rising inequality in Asia was found to be surprisingly large in terms of missed poverty reduction. Looking ahead, Asia is expected to eradicate abject poverty soon but likely to continue facing high inequality, particularly income gaps between economies.

     

Income Inequality Indices Interpreted as Measures of Relative Deprivation/Satisfaction

This paper considers different ways of making comparisons between individuals in terms of deprivation and/or satisfaction. This allows the Gini index, the Bonferroni index and the De Vergottini index to be interpreted as social deprivation measures as well as social satisfaction measures. The inequality measures that belong to the ?? family, or linear combinations of them, are obtained when using different weighting schemes to average the deprivation and satisfaction associated with each income level. Particularly, the generalised Gini indices (Yitzhaki, Int Econ Rev 24:617?C628 in 1983), the indices proposed by Aaberge (J Econ Inequal 5(3):305?C322, 2007) or those proposed by Imedio-Olmedo et al. (J Public Econ Theory 13(1):97?C124, 2011) can be used to evaluate social deprivation or social satisfaction in an income distribution.     

The Trade-off Between Poverty Reduction and Carbon Emissions,and the Role of Economic Growth and Inequality: An Empirical Cross-Country Analysis Using a Novel Indicator

Is it possible for countries to eradicate poverty while also meeting environmental goals? Despite the passage of international agreements calling for these issues to be addressed simultaneously, little is known about the direct relationship between them. This study addresses this gap by proposing a new and composite indicator that integrates measures for both poverty and environmental outcomes (carbon emissions) into a single variable, the carbon intensity of poverty reduction (CIPR). This variable defines the trade-off between the proportional changes of emissions per capita and of the share of the population above the poverty line. In parallel an analytic framework is developed to formulate propositions concerning the possible effects of growth and inequality on the CIPR. The propositions are tested empirically using data from 135 countries across a 30-year time period (1981–2012). The findings confirm that the carbon intensity of poverty reduction is heterogeneous across countries. This heterogeneity is partly explained by economic growth, which is found to have a negative effect on the CIPR up to a certain income level, defined here as a “turning point”. Above that turning point, economic growth increases the CIPR. By contrast, inequality reduction is shown to have a significant negative effect on the CIPR. This study contributes to the literature on sustainable development by analytically and quantitatively linking its three dimensions (social, economic and environmental) and by employing a composite indicator that directly measures the trade-off between poverty reduction and emission levels across countries.

     

A Feasibility Study of Implementing the Policies on Increasing Birth Rate with an Emphasis on Socio-economic Status: A Case Study of Kermanshah Metropolis,Western Iran

Population and development have a mutual relationship, and more to the point, lack of sufficient knowledge on population development and fertility can lead to the presentation of inappropriate population plans in such a way that they may turn out to be useless and ineffective even in the event of implementation. So, the present study aimed to delve into the feasibility of implementing the new governmental policies on increasing birth rate with an emphasis on the socioeconomic status in Kermanshah Metropolis, Iran. To evaluate poverty and fertility in Kermanshah Metropolis, the present cross-sectional study used the latest statistics obtained from the Statistical Center of Iran (2011), and as for the data analysis, such tests in Arc/GIS and SPSS 20 software. The results of the present study showed that the spatial patterns of poverty and fertility were formed in clusters across the city, and the results of variance analysis of the relationship between the variables of fertility and poverty demonstrated that there was a significant difference between the selected neighborhoods in terms of the variables of poverty and total fertility (P < 0.001). Furthermore, the spatial autocorrelations of fertility and poverty in Kermanshah were positive and showed that the spatial means and standard distances of poverty and fertility were overlapping. Not all districts and urban neighborhoods were equal in the total fertility rate. So, given the societal classes’ different socioeconomic and cultural status across different neighborhoods, the government’s new approaches to increasing birthrate cannot be applied to all classes throughout Kermanshah Metropolis.

     

Fuzzy Measures of Longitudinal Poverty in a Comparative Perspective

In this paper we present a methodology for the study of longitudinal aspects of monetary and multi-dimensional poverty, and apply this in a multi-country comparative context. The conventional poor/non-poor dichotomy is replaced by defining poverty as a matter of degree, determined by the place of the individual in the income distribution. The same methodology facilitates the inclusion of other dimensions of deprivation into the analysis: by appropriately weighting indicators of deprivation to reflect their dispersion and correlation, we can construct measures of non-monetary deprivation in its various dimensions. An important contribution of the paper is to identify rules for the intersection and union of fuzzy sets appropriate for the study of poverty and deprivation. These rules allow us to meaningfully study the persistence of poverty and deprivation over time. We establish the consistency of the approach when applied to a time sequence of any length. We can thus study longitudinally over time a whole range of indicators of poverty and deprivation, from cross-sectional monetary poverty rates to multi-dimensional indicators of deprivation: in particular, we propose the new “Fuzzy At-persistent-risk-of-poverty rate”, and compare it with the corresponding Laeken indicator adopted by Eurostat.     

City differences in racial occupational differentiation: A note on the use of odds ratios

This note considers whether city differences in racial occupational distribution are best investigated using measures of nominal differentiation or measures of inequality, and argues that measures of inequality are better suited for testing the prevailing theories of race differences in occupation distribution. It also defends the Index of Net Difference and the Index of Dissimilarity (and other measures of inequality used in previous research) from the criticism that they are flawed because they are sensitive to city differences in occupational structure. Additionally, it explores a new approach for investigating city differences in occupational inequality within the log-linear framework. The logical and empirical arguments offered support the conclusions that racial occupation differences reflect racial stratification, and that variation in racial occupation differences across cities is best understood as the product of city differences in the severity of racial stratification. Thus, future research in this area should continue to focus on measures of inequality rather than measures of nominal differentiation until there are sound theoretical and empirical reasons for conceptualizing race differences in occupational distribution in terms of nominal differentiation.     

Testing the relationship between income inequality and life expectancy: a simple correction for the aggregation effect when using aggregated data

In this paper, we show a simple correction for the aggregation effect when testing the relationship between income inequality and life expectancy using aggregated data. While there is evidence for a negative correlation between income inequality and a population’s average life expectancy, it is not clear whether this is due to an aggregation effect based on a non-linear relationship between income and life expectancy or to income inequality being a health hazard in itself. The proposed correction method is general and independent of measures of income inequality, functional form assumptions of the health production function, and assumptions on the income distribution. We apply it to data from the Human Development Report and find that the relationship between income inequality and life expectancy can be explained entirely by the aggregation effect. Hence, there is no evidence that income inequality itself is a health hazard.     

Trends in consumption-based poverty and inequality in the European Union during the 1980s

Most recent studies on poverty and inequality in developed countries focus on income. In contrast, this paper presents trends in consumption-based poverty and inequality in nine member countries of the European Union. During the 1980s, both poverty and inequality increased in Italy, France, the United Kingdom, Germany and Belgium, while decreases in both poverty and inequality are observed for Spain and Portugal. In Greece only inequality increased. For most countries for which income-based results are available, these move in the same direction as the consumption-based results. However, this sensitivity analysis yields considerable differences in the ranking of countries and the magnitude of the changes. Received: 13 June 1997/Accepted: 29 February 2000     

Why poverty remains high: The role of income growth,economic inequality,and changes in family structure, 1949–1999

After dramatic declines in poverty from 1950 to the early 1970s in the United States, progress stalled. This article examines the association between trends in poverty and income growth, economic inequality, and changes in family structure using three measures of poverty: an absolute measure, a relative measure, and a quasi-relative one. I found that income growth explains most of the trend in absolute poverty, while inequality generally plays the most significant role in explaining trends in relative poverty. Rising inequality in the 1970s and 1980s was especially important in explaining increases in poverty among Hispanics, whereas changes in family structure played a significant role for children and African Americans through 1990. Notably, changes in family structure no longer had a significant association with trends in poverty for any group in the 1990s.     

Poverty,Inequality and Deprivation in South Africa: An Analysis of the 1993 SALDRU Survey

This paper analyses poverty and inequality in South Africa based on data from a comprehensive multi-purpose household survey undertaken in 1993 to provide baseline statistics on poverty and its determinants to the new government. The paper shows that South Africa has among the highest levels of income inequality in the world and compares poorly in most social indicators to countries with similar income levels. Much of the poverty in the country is a direct result of apartheid policies that denied equal access to education, employment, services, and resources to the black population of the country. As a result, poverty has a very strong racial dimension with poverty concentrated among the African population. In addition, poverty is much higher in rural areas, and particularly high in the former homelands. Poverty among female-headed households and among children is also higher than average. Moreover, poverty is closely related to poor education and lack of employment. The poor suffer from lack of access to education, quality health care, basic infrastructure, transport, are heavily indebted, have little access to productive resources, and are heavily dependent on remittances and social transfers, particularly social pensions and disability grants. The paper uses an income-based definition of poverty for most of the analysis. In addition, it develops a broad-based index of deprivation including income, employment, wealth, access to services, health, education, and perceptions of satisfaction as its components. While on average the two indicators correspond fairly closely, the income poverty measure misses a considerable number of people who are severely deprived in many of the non-income measures of well-being. This group of severely deprived not identified by the income poverty measure consists predominantly of Africans living in rural areas, concentrated particularly in the province of KwaZulu/Natal.     

Does Horizontal Inequality Matter in Vietnam?

This paper examines the issue of horizontal inequalities in Vietnam over the past 20 years. Using data from three recent Vietnam population censuses (1989, 1999, and 2009) and three Vietnam Household Living Standard Surveys (1998, 2008, 2012), we estimated numerous measures on inequalities between five groups against four welfare indicators. Our results show that horizontal inequality matters in Vietnam, in particular for ethnicity, region, and rural/urban groups. While there has been an improvement in horizontal inequality in education, this paper shows little change in other welfare indicators, in particular poverty. We also found that horizontal inequality does matter for poverty reduction in Vietnam and it needs more attention when designing poverty policies in the future.

     

A Model and Indicator of Aggregate Need Satisfaction for Capped Objectives and Weighting Schemes for Situations of Scarcity

Normative criteria for evaluations of economic and social outcomes are often formulated in terms of social welfare functions which are essentially and importantly non-satiable. However, there are good reasons to consider certain normative criteria and many policy objectives to be capped, i.e. bounded, and thus satiable provided sufficient resources are made available for their satisfaction. Inspired by the Foster–Greer–Thorbecke class of indicators, this paper uses an interdisciplinary approach to develop a model for assessing outcomes in terms of capped objectives based on an understanding of individual shortfalls from the objective, denoted needs. We present an indicator to measure need satisfaction in a population of individuals with heterogeneous needs and highlight an aggregation problem under scarcity. For such situations, we develop three ways in which the indicator can be weighted that reflect respectively concerns over the frequency, depth and severity of the need shortfalls and show that normative evaluations based on these weighting schemes can conflict, yielding mutually inconsistent outcome rankings. The indicator can be adapted to measure a wide variety of phenomena, e.g. health needs, education shortfalls, deprivation, etc., and it is suited for targeting exercises and other policy implementations. In particular, it allows for exogenous weighting schemes, i.e. weights that can incorporate non-shortfall characteristics relevant for the evaluation, e.g. age, gender, ethnicity, etc. The indicator thus enables new ways for researchers to promote and study satiable objectives in a wide variety of contexts relevant to economic and social policy, e.g. human development programs, poverty reduction, healthcare policies, etc.     

Multidimensional Poverty and Inequality: Insights from the Upper Blue Nile Basin,Ethiopia

As stated in the 2018 global Multidimensional Poverty Index (MPI) report, Ethiopia has the second largest multidimensionally poor population in Africa (after Nigeria). The global MPI was created to measure household’s multiple deprivations, but little systematic study has been carried out on the application of MPI measures on a smaller scale and vis-à-vis other measures of poverty. In addition, most of the few existing studies ignore any measure of inequality amongst the multidimensionally poor. This study explored multidimensional poverty in three different drought-prone agro-ecological settings of the Upper Blue Nile basin, Ethiopia. A preliminary participatory exercise was carried out at the study sites to select important indicators and then a structured survey was administered to 390 systematically and randomly selected households. The Alkire–Foster method was used to analyse multidimensional poverty and verified it with Correlation Sensitive Poverty Index (CSPI). Multidimensional poverty incidence, adjusted head count ratio and inequality were significantly different between study sites (p?<?0.001). Results indicated a high incidence (88%, 82% and 80%), intensity (52%, 55% and 56%), MPI (46%, 45% and 45%) and inequality (53%, 60% and 63%) of poverty in Aba Gerima, Guder and Dibatie study sites, respectively. A high level of divergence was revealed between the MPI and CSPI in terms of identifying the poor. The living standard and land and livestock ownership dimensions contributed the most to MPI. The case study signifies the importance of inclusion of land and livestock indicators for the national MPI. Besides, it implies that researchers and policymakers need to account for smaller scale contextualised indicators and location differences when studying and designing anti-poverty interventions.

     

Using Changes in Life Satisfaction and Health to Predict the Survival Status Among Older Men and Women in Taiwan

Despite policies aimed at decreasing old-age income inequality, such as Social Security and Supplemental Security Income, research consistently finds that later-life poverty is highly concentrated among women. While the early-life economic disadvantages of motherhood are well established, little work has examined whether these disadvantages persist into later life. Life course research consistently demonstrates the relationship between early-life choices and later-life inequality, but few studies have examined whether the reproductive phase of a woman's life is associated with her later-life income. Using data from the 2003 wave of the National Longitudinal Survey of Mature Women cohort, this research examines whether women's age at first birth and parity are associated with her later-life income within the context of marriage. From a set of multivariate analyses, I find that despite a marginal statistically significant effect, substantively for the women in this cohort the effects of childbearing are not particularly consequential for later-life income. The results suggest that as women age the economic penalties associated with motherhood are less important to financial well-being than are other factors.     

How much Confidence can we have in EU-SILC? Complex Sample Designs and the Standard Error of the Europe 2020 Poverty Indicators

If estimates are based on samples, they should be accompanied by appropriate standard errors and confidence intervals. This is true for scientific research in general, and is even more important if estimates are used to inform and evaluate policy measures such as those aimed at attaining the Europe 2020 poverty reduction target. In this article I pay explicit attention to the calculation of standard errors and confidence intervals, with an application to the European Union Statistics on Income and Living Conditions (EU-SILC). The estimation of accurate standard errors requires among others good documentation and proper sample design variables in the dataset. However, this information is not always available. Therefore, I complement the existing documentation on the sample design of EU-SILC and test the effect on estimated standard errors of various simplifying assumptions with regard to the sample design. It is shown that accounting for clustering within households is of paramount importance. Although this results in many cases in a good approximation of the standard error, taking as much as possible account of the entire sample design generally leads to more accurate estimates, even if sample design variables are partially lacking. The effect is illustrated for the official Europe 2020 indicators of poverty and social exclusion and for all European countries included in the EU-SILC 2008 dataset. The findings are not only relevant for EU-SILC users, but also for users of other surveys on income and living conditions which lack accurate sample design variables.     

The European 'Welfare Mix': Institutional Configuration and Distributive Outcome in Sweden and the European Union. A Longitudinal and Comparative Perspective

This paper explores the institutional configuration (the three welfare delivery systems: market, welfare state, family) and its distributional correlates (income inequality; poverty rates; inequality related to social cleavages such as social class, generation, gender, region and family). The analysis has a twofold perspective: comparative (comparing 14 EU member states) and longitudinal (comparing Sweden 1975--1995), using nations as statistical units. The European union appears to be divided in three distinct and homogeneous clusters: a Nordic cluster (Sweden, Denmark, Finland) exhibiting large social expenses, high labour market participation and weak family ties. Its distributional features are low income inequality, poverty rates and class inequality, but high levels of inequality between generations; a southern cluster (Greece, Italy, Spain, Portugal) characterised by lower welfare provisions, low employment, but strong traditional families. Its distributional features are high levels of income inequality, poverty and class inequality, but low levels of generational inequality; a central European cluster in intermediate position. UK joins the southern cluster with high levels of income inequality, poverty and class inequality.     

中国城乡弱相对贫困测算及时空演变：2012—2018

相对贫困的识别和测算是瞄准贫困人口和制定减贫政策的基础,但常用于识别相对贫困人口的比例收入法和测度相对贫困程度的FGT指数在理论基础、比例设定和贫困性质方面遭到质疑。采用基于社会融入成本理论的弱相对贫困人口识别方法,及与弱相对贫困线相适应的分层可加综合贫困指数,且考虑与现阶段我国绝对贫困线衔接性及国际标准的可比性,使用2012—2018年中国家庭追踪调查(CFPS)数据估计了中国城乡收入(消费)弱相对贫困线,并测算分析了中国城乡收入(消费)弱相对贫困程度及时空演变特征。研究表明,基于弱相对贫困线构造的综合贫困指数兼顾绝对贫困和相对贫困,可以避免传统FGT指数分别测度绝对贫困和相对贫困时动态变化趋势出现分歧的问题,可更为直观地综合评估经济增长和扶贫政策的减贫效应。无论城乡,尽管不平等导致相对贫困始终处于高位水平,但绝对贫困更大的下降幅度使得中国收入(消费)弱相对贫困程度仍呈稳健下降趋势。从社会融入成本角度出发,建议未来考虑住房成本和子女养育成本,分家庭类型进一步细化弱相对贫困标准。本研究有助于进一步分类瞄准弱相对贫困人口,监测弱相对贫困程度演变并综合评估减贫效应。     

A Quantitative Investigation of the Population-Land Inequality-Land Clearance Nexus

This paper provides a quantitative investigation of the population-land inequality-land clearance nexus. Drawing on the literature on farmer optimization behaviour, the study formalizes and empirically tests a model of population-induced agricultural land clearance. The model makes several assumptions about this process: (a) The rate at which agricultural land is brought into production due to rising population pressures accelerates with the level of inequality in access to land, (b) Egalitarian systems have a greater capacity to absorb rising numbers of people per unit of land area and, thus, will have lower rates of agricultural land clearance than higher ones and (c) Irrespective of its degree of egalitarianism, the capacity of any system to hold people in one place will eventually break down once a critical population threshold is reached. Due to their lower population absorptive capacity, this level will be reached sooner under unequal systems of land distribution. Thus, the model also hypothesizes that the stimulatory impact of population growth on the demand for new land will exhibit a non-linear threshold pattern. For the farmer, the decision to clear a new plot of land will reflect these population-inequality interactions: Earnings from farming in settled areas will tend to fall as population densities and inequality in access to land increase. Time series results confirm that rural population growth is a significant factor driving agricultural land clearance in many of the 59 developing countries of our sample. Results also suggest that this rate of clearance is largest in countries with highly inegalitarian patterns of distribution. In contrast, cross-sectional regression results do not suggest any direct role for land inequality in population-agricultural land use outcomes. Contrary to the models assumption that this relationship should follow a non-linear threshold pattern, cross-sectional results also find no evidence that the absorptive capacity of highly densely populated land systems has been reached on average. However, they do provide support for an indirect linear relationship: Population induced agricultural land clearance is significantly magnified as inequality in access to land increases. Drawing on the empirics of the growth-inequality literature, the study suggests that this magnifying role may be linked to inequalitys impact on the assets of the poor. That is, by undermining the capacity of the rural poor to make productive investments in the land base, inequality in land distribution mediates population pressures in a way that affects both the quality and quantity of assets available to the poor to raise incomes, invest in skills accumulation, and spur demand in the rural economy as a whole.