The Multidimensional Gender Inequalities Index (MGII): A Descriptive Analysis of Gender Inequalities Using MCA

This paper constructs a weighted measure of the multidimensional concept of gender inequality: the Multidimensional Gender Inequality Index (MGII). Multiple Correspondence Analysis is used to rank the separate forms in which gender inequality appears in developed and developing countries respectively. Eight dimensions were identified as relevant for economic purposes: identity, physical integrity, intra-family laws, political activity, education, health, access to economic resources, and economic activity. In the 109 developing countries considered, gender inequality in the identity and family dimensions are particularly severe for women: these dimensions hence have greater weight in the MGII. However, in OECD countries gender inequality occurs mainly in the political and family dimensions. Nevertheless, the family sphere remains particularly important for gender inequality, whatever the level of development. The MGII is a non-linear weighted composite indicator of gender inequality which yields a country ranking. The South-Asian region is calculated to be the most unequal.     

Rethinking Dimensions: The South African Multidimensional Poverty Index

The growth of literature on multidimensional poverty measures generates an uncertainty about which dimensions best capture the extent of poverty. This paper applies multiple correspondence analysis in the context of multidimensional poverty in South Africa to identify statistically valid additional dimensions using National Income Dynamics Study data of 2012. The results confirm the argument that economic status (lack of employment) and financial commitment (over-indebtedness) can be regarded as important dimensions, as their occurrence constrains households from participating in the activities essential in modern society. It is therefore proposed that, in addition to health, education, and living standard dimensions, both economic status and financial commitments should be included in the framework for the South African multidimensional poverty analysis. A central contribution of this work is a proposal of a hybrid multidimensional measure which recommends a combination of both non-monetary and monetary indicators, in particular over-indebtedness.     

A Different Perspective on Poverty in Lao PDR: Multidimensional Poverty in Lao PDR for the Years 2002/2003 and 2007/2008

This paper presents an indicator for measuring multidimensional poverty in the Lao People’s Democratic Republic applying the Alkire–Foster methodology to the Lao Expenditure and Consumption Survey 2002/2003 and 2007/2008. We calculated a multidimensional poverty index (MPI) that includes three dimensions: education, health, and standard of living. Making use of the MPI’s decomposability, we analyse how much each of the different dimensions and its respective indicators contribute to the overall MPI. We find a marked reduction in the multidimensional poverty headcount ratio over the study period, regardless of how the indicators are weighted or how the deprivation and poverty cut-offs are set. This reduction is based on improvements regarding all indicators except cooking fuel and nutrition. We observe no significant reduction in the intensity of poverty, however; there are wide disparities between the country’s regions and between urban and rural areas. The proportion of poor people in rural areas is more than twice as high as that in urban areas. By complementing the traditional income-based poverty measure, we hope to provide useful information that can support knowledge-based decision-making for poverty alleviation.     

Multidimensional Measurement of Poverty Among Women in Sub-Saharan Africa

Since the seminal work of Sen, poverty has been recognized as a multidimensional phenomenon. The recent availability of relevant databases renewed the interest in this approach. This paper estimates multidimensional poverty among women in fourteen Sub-Saharan African countries using the Alkire and Foster multidimensional poverty measures, whose identification method is based on a counting approach. Four dimensions are considered: assets, health, schooling and empowerment. The results show important differences in poverty among the countries of the sample. The multidimensional poverty estimates are compared with some alternative measures such as the Human Development Index, income poverty, asset poverty and the Gender-related Development Index. It is found that including additional dimensions into the analysis leads to country rankings different from those obtained with the mentioned four measures. Decompositions by geographical area and dimension indicate that rural areas are significantly poorer than urban ones and that a lack of schooling is, in general, the highest contributor to poverty. The paper also conducts robustness and sensitivity analyses of the multidimensional estimates with respect to the number of dimensions in which deprivation is required in order to be considered poor, as well as to the poverty lines within each dimension. Several cases of dominance between countries are found in the first robustness test.     

Synergies Among Monetary,Multidimensional and Subjective Poverty: Evidence from Nepal

In this paper we construct a Nepal specific multidimensional poverty index using the Nepal Longitudinal Sample Survey (NLSS) for the period 1995–2010. The indicators for Nepal Multidimensional Poverty Index (NMP) have been chosen using the goals set by the Government of Nepal and the perceptions of adequacy as reported by households. In doing so this study combines multidimensional and subjective methods of measuring wellbeing. The subjective data is used to guide the choice of dimensions for the multidimensional analysis. Our findings show that Nepal has had a dramatic fall in multidimensional poverty along with the observed fall in consumption poverty in this period. Comparing the extent to which consumption poverty accurately identifies the multidimensionally poor, we find the error has reduced over time but remains large in proportion to the poverty rate implying the need for a multidimensional measure. For the different ethnic groups and regions the patterns of reduction in poverty are not homogenous and are different from those of consumption poverty with the NMP outperforming the consumption poverty in tracking targeted policy actions.     

Cross Cultural Application of the WHOQOL-SRPB in the Chinese Community with Diverse Spiritual Affiliations

In order to contribute to providing a methodology to ensure objectivity and transparency in the measurement of multidimensional poverty, this paper proposes a new threshold for the identification of the multidimensional poor which is also applicable to each of the dimensions of poverty, suitable for identifying the severely poor in developed countries. This new methodology is applied to analyse the evolution of material deprivation in Spain during the period of economic crisis, comparing the results with those obtained using other traditional approaches.     

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.

     

Measurement Assessment in Cross-Country Comparative Analysis: Rasch Modelling on a Measure of Institutional Quality

This paper uses recent multidimensional well-being measurements to examine multidimensional well-being and inequality across the European regions in 2000 and 2014 with the use of eleven well-being indicators from the OECD Better Life Index. We use generalized mean aggregation method with alternative parameters to allow different substitutability and complementarity levels between well-being dimensions, which range between perfect substitutability and some degree of complementarity between the dimensions, to examine well-being and inequality across the European regions. Accounting for the interactions between the well-being dimensions matters for the multidimensional well-being and inequality across the European regions. The results show that the multidimensional well-being across the European regions are relatively lower when the dimensions are more seen as complements compared to the case when they are considered to be perfect substitutes. Furthermore, there is also a higher degree of multidimensional inequality across the European regions when the dimensions are considered to have some complementarity. Changes in well-being dimensions between 2000 and 2014 indicates that multidimensional well-being improved and inequality decreased in the personal and community well-being categories, but remained unchanged in material well-being category across the European regions irrespective of interaction levels between well-being dimensions. Policy implications of these multidimensional well-being indices are also evaluated by using these indices to determine the eligible regions for the European Union structural funds where the number eligible regions shows some variation depending on whether the dimensions are perfect substitutes or more of complements.

     

Multidimensional Poverty in Mountainous Regions: Shan and Chin in Myanmar

Poverty is complex and multidimensional. People living in mountainous regions are vulnerable and more likely to experience multiple deprivation. However, few studies have addressed multidimensional poverty in mountainous regions. Using data from 4290 households of poverty and vulnerability assessment survey and the Alkire–Foster methodology, this paper estimate and decompose multidimensional poverty in the states of Shan and Chin in Myanmar. The multidimensional poverty is measured in five dimensions and a set of twelve indicators. Nearly half of the population in Shan and three-quarters in Chin were multidimensionally poor. The average intensity of poverty was 44% in Chin and 38% in Shan. The multidimensional poverty index was 0.33 in Chin and 0.19 in Shan. The level of multidimensional poverty in Chin was similar to that in of Sub-Saharan Africa. In Chin, 60% of the population was both multidimensionally poor and consumption poor, but in Shan, it was 20%. About 28% of the population in Shan and 15% in Chin were multidimensionally poor but not consumption poor. Deprivation in education accounts for one-third of the multidimensional poverty in Shan; while deprivation in health accounts for one-third of the multidimensional poverty in Chin. A higher proportion of multidimensionally poor had experienced shocks such as the death of a household member, agricultural loss, or death of livestock compared to the multidimensional non-poor. Multidimensional poverty was significantly higher for rural household, households with lower educational attainment, consumption poor and among those who lived in Chin. Poverty reduction programs require a holistic understanding of poverty and its different dimensions as well as the main contributing factors for effective planning and program implementation. Geographical targeting of poverty reduction program and larger investment in food, health, water, energy and education can reduce the extent of multidimensional poverty in Shan and Chin.     

Uneven dynamics and regional disparity of multidimensional poverty in China

Qualifying the official minimum of “Two no worries and three guarantees” (certainty of food and clothing, guarantees of compulsory education, basic medical care, and housing) is essential to evaluate the targeted poverty alleviation program since 2013 in China. Using the poverty monitoring dataset and the multidimensional poverty indicator system, the uneven dynamics and regional disparity of multidimensional poverty and its driving factors in poverty-stricken areas in China during 2014–2018 are explored in this paper. The incidence rate of multidimensional poverty was reduced by 61.72%, and the poverty reduction rate within the six dimensions ranged from 52.29 to 76.36%. Multidimensional poverty and its six dimensions displayed narrowing regional disparity. Impoverished and moderately poor areas shrank, whereas low-poverty areas expanded. All 22 provinces have become low-poverty areas in 2018. The contribution of each dimension to multidimensional poverty varies for different types at different stages. Income and expenditure contribute the most to poverty status, followed by transportation, housing conditions, education, communication, and medical care and health. The contribution of each indicator among different dimensions varied with different trends from 2014 to2018. This paper helps incorporate the official minimums of “Two no worries and three guarantees” into a more operational evaluation system to promote sustainable policies for governments at all levels by 2020 and beyond, as well as provide valuable references for poverty alleviation in other developing countries worldwide.

     

Implementing a Multidimensional Poverty Measure Using Mixed Methods and a Participatory Framework

Recently, there have been advances in the development of multidimensional poverty measures. Work is needed however on how to implement such measures. This paper deals with the process of selecting dimensions and setting weights in multidimensional poverty measurement using qualitative and quantitative methods in a participatory framework. We estimate the multidimensional poverty measures developed by Alkire and Foster for a particular group: persons with psychiatric diagnoses in the United States. To select relevant dimensions and their relative ordering, two discussion groups are convened: one consisting of persons with lived-experience expertise and the other consisting of people with mental health service provision or research expertise. Several methods are used to convert dimension rankings into weights. The selection and ordering of dimensions differed between the two discussion groups, as did the resulting poverty measures. For instance, the poverty headcount using the dimensions and weights of the ‘lived experience’ group ranged from 20.61 to 26.96% as compared to a range of 18.62–33.19% using those of the ‘provider/researcher’ group. One of the main results of this study is that the Alkire Foster method is sensitive to the selection of dimensions and the methods used to derive rankings and weights. It points toward the limitation of relying exclusively on small scale qualitative methods for the selection and ranking of dimensions. In addition, the participatory framework used in this study was found to be essential in interpreting results, in particular with respect to the limitations of the data set in measuring relevant dimensions.     

Constructing Well-Being and Poverty Dimensions on Political Grounds

The paper addresses the problem of justifying ethically sound dimensions of poverty or well-being for use in a multidimensional framework. We combine Sen’s capability approach and Rawls’ method of political constructivism and argue that the constitution and its interpretative practice can serve as an ethically suitable informational basis for selecting dimensions, under certain conditions. We illustrate our Constitutional Approach by deriving a set of well-being dimensions from an analysis of the Italian Constitution. We argue that this method is both an improvement on those used in the existing literature from the ethical point of view, and has a strong potential for providing the ethical basis of a conception of well-being for the public affairs of a pluralist society. In the final part, we elaborate on the implications for measuring well-being based on data, by ranking Italian regions in terms of well-being, and pointing out the differences in results produced by different methods.     

Health,Wealth and Wisdom: Exploring Multidimensional Inequality in a Developing Country

Despite a broad theoretical literature on multidimensional inequality and a widespread belief that welfare is not synonymous to income—not the least in a developing context—empirical inequality examinations rarely includes several welfare attributes. We explore three techniques on how to evaluate multidimensional inequality using Zambian household data on consumption, education, health and land. The examination indicates that level and changes in non-monetary inequality are at odds with consumption inequality. Moreover, assessment of a multidimensional index shows evidence of that dimensions of wellbeing compensate and reinforce each other with respect to inequality. However, a majority of the results using this technique are sensitive to the degree of substitution between attributes. In applying a stochastic dominance method few combinations fulfill the required dominance conditions. Accordingly, less imposed structure come at a cost. Clearly, sensitivity analyzes, explicitness and analyzes involving more than one technique are constructive in portraying multidimensional inequality.     

Does Financial Inclusion Diminish Poverty and Inequality? A Panel Data Analysis for Latin American Countries

Despite great developmental efforts in recent decades, Latin America still presents high levels of poverty and inequality when compared to developed nations. As explored widely in the literature, one potential instrument to diminish these issues is financial inclusion, including the access and usage of financial services by all people. Specifically, this paper verifies if financial inclusion and technology adoption decrease the poverty headcount ratio and the Gini index (i.e., inequality) of 13 Latin America countries (Argentina, Bolivia, Brazil, Colombia, Costa Rica, Dominican Republic, Ecuador, El Salvador, Honduras, Panama, Paraguay, Peru, and Uruguay). To perform such analysis, an unbalanced panel dataset was built, and the Feasible Generalized Least Squares (FGLS) and the Limited Information Maximum Likelihood (LIML) techniques were employed. The results suggest that, in accordance with previous studies, financial inclusion is a powerful tool to tackle poverty and inequality. Additionally, the combined effects of financial inclusions and technology (i.e., mobile use) are also capable of decreasing the poverty and inequality levels. We discuss the policy implications of our findings and suggest a future research agenda.

     

Income and Beyond: Multidimensional Poverty in Six Latin American Countries

This paper studies multidimensional poverty for Argentina, Brazil, Chile, El Salvador, Mexico and Uruguay for the period 1992–2006. The approach overcomes the limitations of the two traditional methods of poverty analysis in Latin America (income-based and unmet basic needs) by combining income with five other dimensions: school attendance for children, education of the household head, sanitation, water and shelter. The results allow a fuller understanding of the evolution of poverty in the selected countries. Over the study period, El Salvador, Brazil, Mexico and Chile experienced significant reductions in multidimensional poverty. In contrast, in urban Uruguay there was a small reduction in multidimensional poverty, while in urban Argentina the estimates did not change significantly. El Salvador, Brazil and Mexico, and rural areas of Chile display significantly higher and more simultaneous deprivations than urban areas of Argentina, Chile and Uruguay. In all countries, deprivation in access to proper sanitation and education of the household head are the highest contributors to overall multidimensional poverty.     

Measuring and Monitoring Poverty and Well-Being: A New Approach for the Synthesis of Multidimensionality

The aim of this paper is to introduce a new approach for the synthesis and analysis of multidimensional poverty and well-being indicators. Our general perspective is inspired by the theoretical foundations of the capability approach and sustainable human development paradigm. The new synthesis of indicators aims at monitoring outcomes of units of interest. Its defining features include: full sensitiveness, continuity, flexibility in substitution between dimensions, and the straightforward interpretation of the results. All these properties are obtained through a transparent and accountable process that is fully open to public scrutiny and reason (as suggested by Amartya Sen). The main contribution of this approach is that the degree of substitutability between dimensions can be directly linked to the general level of well-being of a person, which addresses the so-called “inescapable arbitrariness” issue discussed by Anand and Sen (Concepts of human development and poverty: a multidimensional perspective. Human Development Papers. UNDP, New York, 1997). The new synthesis proposed opens up new possibilities for different types of applications, including monitoring and evaluating development programmes.     

Multidimensional Poverty in China: Findings Based on the CHNS

This paper estimates multidimensional poverty in China by applying the Alkire-Foster methodology to the China Health and Nutrition Survey 2000–2009 data. Five dimensions are included: income, living standard, education, health and social security. Results suggest that rapid economic growth has resulted not only in a reduction in income poverty but also in a reduction in multidimensional poverty in the last decade, both in terms of its prevalence and intensity. However, many challenges remain. There are wide disparities across provinces and between urban and rural areas, with poverty being 1.5 times higher in rural areas than in urban ones in 2009. Moreover, rising deprivation in education in rural and less developed provinces should also be a policymaking concern.     

Welfare State Development,Individual Deprivations and Income Inequality: A Cross-Country Analysis in Latin America and the Caribbean

Several scholars have confirmed the role that the welfare state (WS) plays in reducing poverty, promoting equality and ensuring the common wellbeing. One of the limitations of the scholarship has been the conceptualization and operationalization of the WS and poverty as one-dimensional variables. The purpose of this paper is to examine the relationship between welfare state development, single-dimensions deprivations and income inequality in Latin America and the Caribbean, before and after controlling for demographic and cyclical factors. The WS is operationalized as a one-dimensional variable, but also taking into account its multidimensional nature. Three individual deprivations suffered by people on poverty and two income inequality indicators are used as dependent variables. Three pooled time-series cross-section regression analyses with panel-corrected standard errors models were carried out on 18 countries in the region around 2000, 2005 and 2010. This paper shows that the development of social-welfare programs and institutions seems to be an effective way of tackling individual deprivations suffered by people on poverty in the region. On the other hand, the WS development didn’t appear to be effective to reduce income inequality. The outcomes of welfare institutions appear to be the pivotal dimension to reduce income inequality and income deprivations in the region.     

Multi-Dimensional Deprivation in the U.S.

This paper presents a comprehensive analysis of multidimensional deprivation in the U.S. since the Great Recession, from 2008 to 2013. We estimate a Multidimensional Deprivation Index by compiling individual level data on several well-being dimensions from the American Community Survey. Our results indicate that the proportion of the population that is multidimensional deprived averages about 15 percent, which exceeds the prevalence of official income poverty. Lack of education, severe housing burden and lack of health insurance were some of the dimensions in which Americans were most deprived in. Though deprivation increased during the recession, it trended towards a decline between 2010 and 2013. Unlike the official and the supplemental poverty measure which did not show any decline, the deprivation index better reflects the economic recovery since the recession. Overall, the prevalence of deprivation was higher in the southern and the western states and among the Asian and the Hispanic population. Importantly, there was not much overlap between individuals who were income poor and those who were multidimensional deprived. In fact, almost 30 % of individuals with incomes slightly above the poverty threshold experienced multiple deprivations. Our analysis underscores the need to look beyond income based poverty statistics in order to fully realize the impact of the recession on individuals’ well-being.     

Using VPI to Measure Poverty-Stricken Villages in China

Revealing the comprehensive poverty levels and spatial diversities of poverty-stricken villages is a prerequisite for “Entire-village Advancement” anti-poverty policy of China. In response, we build a multidimensional poverty assessment model from the perspective of spatial poverty, adopting VPI (village-level poverty index) to examine multiscale and multidimensional situations and characteristics of poverty-stricken villages in rural China, then adopting spatial geostatistics to explore their multidimensional and multiscale spatial point pattern distribution. Further, we also introduce LSE model to examine their poverty types. Our tests show that, Firstly, the validity and reliability of the VPI model can be justified in terms of village-level targeting ratio and policy-coverage ratio. Then, the poverty level of poverty-stricken villages follows a normal-right distribution, presenting an “olive” structure with a shape of “large middle, and small at two ends”, poverty levels and poverty sizes of different counties obviously increasing from east to west, and different classifications of counties also representing different poverty levels. On the other hand, there exists three kinds of multi-scale poverty clusters among different contiguous destitute areas, namely, clustering-randomness-dispersion, randomness-clustering and dispersion/randomness distribution. Villages with poverty type of three-factor dominance account for over 50 % of the total villages, their poverty are mainly caused by harsh geographical environment, disadvantaged production and living conditions, and poor labor forces. This research helps know well about the relationships among different villages from the multiscale and multidimensional views, so as to provide decision basis for optimal development and reorganization of the poverty-stricken villages in rural China, which is of vital practical significance to make overall arrangement of rural development-oriented poverty elimination and to boost new round of precise poverty elimination and new countryside construction.