scholarly journals Including services in multidimensional poverty measurement for SDGs: modifications to the consensual approach

2020 ◽  
Vol 28 (2) ◽  
pp. 149-168
Author(s):  
Alba Lanau ◽  
Joanna Mack ◽  
Shailen Nandy
Keyword(s):  
Service Provision ◽  
Multidimensional Poverty ◽  
Poverty Measurement ◽  
Access To Services ◽  
Household Resources ◽  
Poor Households ◽  
Poverty Measures ◽  
Nuanced Understanding ◽  
Context Specific ◽  
Consensual Approach

Poor households disproportionately lack access to services, yet this is rarely considered in poverty measures. Service provision can vary significantly between and within countries, and so similar levels of household resources may translate to very different living standards. Where universal provision of basic services is lacking, current approaches to poverty measurement may result in underestimates, thereby raising comparability and identification issues. We propose a conceptual framework to incorporate service provision into multidimensional poverty measures, based on a modification to the consensual approach. The modification would create improved context-specific poverty measures, enabling a more nuanced understanding about effective access to services.

scholarly journals Measuring Multidimensional Poverty and Inequality in Pakistan

2015 ◽  
Vol 54 (4I-II) ◽  
pp. 685-698 ◽  
Author(s):  
Maqbool H. Sial ◽  
Asma Noreen ◽  
Rehmat Ullah Awan
Keyword(s):  
Development Policy ◽  
Poverty Alleviation ◽  
Recent Literature ◽  
Multidimensional Poverty ◽  
Poverty Measurement ◽  
Economic Problems ◽  
Poverty Measures ◽  
Poverty And Inequality ◽  
Development Objective ◽  
Multidimensional Concept

The key development objective of Pakistan, since its existence, has been to reduce poverty, inequality and to improve the condition of its people. While this goal seems very important in itself yet is also necessary for the eradication of other social, political and economic problems. The objective to eradicate poverty has remained same but methodology to analysing this has changed. It can be said that failure of most of the poverty strategies is due to lack of clear choice of poverty definition. A sound development policy including poverty alleviation hinges upon accurate and well-defined measurements of multidimensional socio-economic characteristics which reflect the ground realities confronting the poor and down trodden rather than using some abstract/income based criteria for poverty measurement. Conventionally welfare has generally been measured using income or expenditures criteria. Similarly, in Pakistan poverty has been measured mostly in uni-dimension, income or expenditures variables. However, recent literature on poverty has pointed out some drawbacks in measuring uni-dimensional poverty in terms of money. It is argued that uni-dimensional poverty measures are insufficient to understand the wellbeing of individuals. Poverty is a multidimensional concept rather than a unidimensional. Uni-dimensional poverty is unable to capture a true picture of poverty because poverty is more than income deprivation

scholarly journals Measuring Multidimensional Poverty According to National Definitions: Operationalising Target 1.2 of the Sustainable Development Goals

2019 ◽  
Vol 148 (1) ◽  
pp. 105-126
Author(s):  
Marco Pomati ◽  
Shailen Nandy
Keyword(s):  
Sustainable Development ◽  
Multidimensional Poverty ◽  
Poverty Measurement ◽  
Demographic And Health Surveys ◽  
The Sustainable Development ◽  
Future Challenges ◽  
Multiple Indicator ◽  
Development Goals ◽  
Questionnaire Surveys ◽  
Consensual Approach

Abstract The first Sustainable Development Goal (SDG) tasks countries with eradicating poverty in all its dimensions according to national definitions. This presents considerable challenges for poverty researchers and national statistical offices charged with collecting data to monitor progress on meeting of this ambitious target. Our paper focuses on how the different dimensions of poverty might be mapped out, and compared, within and across heterogeneous countries and societies, using a method called the Consensual Approach to poverty measurement. It explains how the approach can inform different poverty measurement frameworks (e.g. rights based, capabilities or deprivation of basic needs approaches), how it has already been used successfully across low, middle- and high-income countries and sets out some key lessons and future challenges. The paper uses data from the demographic and health surveys (DHS) and World Bank’s Core Welfare Indicator Questionnaire surveys to demonstrate cross- and intra-national consensus about what constitutes minimally acceptable living standards across several countries in West Africa; we suggest that existing survey platforms, like national household income and expenditure surveys, DHS or even UNICEF’s Multiple Indicator Cluster Surveys could (with minor additions) be used to apply the Consensual Approach to measure multidimensional poverty in children and adults across countries, and thus aid reporting for the SDGs.

scholarly journals Poverty Profiles of Sylhet City Corporation: An MPI Approach

2016 ◽  
Vol 12 (31) ◽  
pp. 388
Author(s):  
Mohammed Faruque Uddin ◽  
Syed Nazmul Huda
Keyword(s):  
Mixed Method ◽  
Multidimensional Poverty ◽  
Income Poverty ◽  
Community Life ◽  
Poor Households ◽  
Poverty Measures ◽  
Slum Dwellers ◽  
Depth Interview ◽  
Income Measure ◽  
Method Approach

Does income measure of poverty explain it meticulously? To seek this answer we claim poverty is not a unidimensional phenomenon rather it adheres multidimensionality. Sen (2000) views poverty as the deprivation of certain basic capabilities, which varies from elementary physical nourishment to the community life. However, targeting slum dwellers, this article sought to advance multidimensional poverty measures in SCC (Sylhet City Corporation). The study adopts a mixed method approach to examine so. Finding shows that, there are some variations in the percentage of poor households. In terms of income and expenditure 60% households are identified as poor but in MPI number increases to 75%. Data from in-depth interview exhibits that respondents feel themselves as income poor. Some of them consider deprivation of education is the consequence of that income poverty. In addition, few respondents dimple that health problems and physical disabilities mingle their poverty experiences.

scholarly journals Interdisciplinary Perspectives on Poverty Measurement, Epistemic Injustices and Social Activism

2020 ◽  
pp. 1-20
Author(s):  
Valentin Beck ◽  
Henning Hahn ◽  
Robert Lepenies
Keyword(s):  
Social Activism ◽  
Explanatory Power ◽  
Multidimensional Poverty ◽  
Early Career ◽  
Poverty Measurement ◽  
Global Poverty ◽  
Multidimensional Poverty Index ◽  
Normative Concepts ◽  
Poverty Measures ◽  
International Experts

AbstractAs we enter the 2020s, global poverty is still a grave and persistent problem. Alleviating and eradicating poverty within and across the world’s societies requires a thorough understanding of its nature and extent. Although economists still standardly measure absolute and relative poverty in monetary terms, a consensus is emerging that poverty is a socially relational problem involving deprivations in multiple dimensions, including health, standard of living, education and political participation. The anthology Dimensions of Poverty advances the interdisciplinary debate on multidimensional poverty, and features contributions from leading international experts and early career researchers (including from the Global South). This introductory chapter gives an overview of formative debates, central concepts and key findings. While monetary poverty measures are still dominant in public and academic debate, their explanatory power has been drawn into question. We discuss relevant criticisms before outlining the normative concepts that can inform both multidimensional poverty and monetary measures, including basic capabilities, basic needs and social primary goods. Next, we introduce several influential multidimensional poverty indices, including the Human Development Index and the Multidimensional Poverty Index. The anthology shows in detail how such measures can be improved, from a variety of disciplinary perspectives. It shows that there are different methods of poverty research that require further investigation, including participatory studies, (value) surveys, public consensus building, the constitutional approach, and financial diaries. Finally, we show that there is an ongoing problem of epistemic asymmetries in global poverty research, and discuss responsibility for addressing poverty, including the responsibilities of academics. The remainder of the chapter is dedicated to a more detailed preview of the volume’s 20 contributions, which are assembled along the following five themes: (I) poverty as a social relation; (II) epistemic injustices in poverty research; (III) the social context of poverty; (IV) measuring multidimensional poverty; and (V) country cases.

scholarly journals New multidimensional approaches to poverty measurement in Bosnia and Herzegovina

2017 ◽  
Vol 3 (1) ◽  
pp. 1-15
Author(s):  
Adela Delalić ◽  
Rabija Somun-Kapetanović ◽  
Emina Resić
Keyword(s):  
Bosnia And Herzegovina ◽  
Durable Goods ◽  
Poverty Reduction ◽  
Multidimensional Poverty ◽  
Housing Quality ◽  
Poverty Measurement ◽  
Poverty Level ◽  
Poverty Measures ◽  
Reduction Strategies ◽  
Poverty Indicators

AbstractUnlike the standard unidimensional poverty indices, based mostly on monetary poverty measures, multidimensional poverty indices may include numerous non-monetary poverty indicators. This study utilized fuzzy and Alkire – Foster (AF) and fuzzy methodology to assess the poverty level in Bosnia and Herzegovina (B&H) and to compare the results with official poverty assessments. In addition to consumption as a monetary measure, we constructed AF and fuzzy indices by including numerous non-monetary measures that indicate housing quality, possession of durable goods and the household structure. AF multidimensional indices for B&H are calculated based on data from Household Budget Surveys (2004, 2007 and 2011) and fuzzy poverty indices are calculated based on data from HBS 2011. This research has found the differences in the values, direction and dynamics between unidimensional and multidimensional approaches to poverty measurement. Authors state that it is not sufficient to base the creation of more efficient social policies and poverty reduction strategies exclusively on unidimensional indices that address just one dimension of poverty.

scholarly journals Assessing Refugee Poverty Using Capabilities Versus Commodities: The Case of Afghans in Iran

2018 ◽  
Vol 18 (3) ◽  
pp. 853-873 ◽  
Author(s):  
Mitra Naseh ◽  
Miriam Potocky ◽  
Shanna L. Burke ◽  
Paul H. Stuart
Keyword(s):  
Multidimensional Poverty ◽  
Poverty Line ◽  
Poverty Measurement ◽  
Poverty Index ◽  
Policy Makers ◽  
Multidimensional Poverty Index ◽  
Afghan Refugees ◽  
Poor Households ◽  
Standards Of Living ◽  
Using Data

This study is among the first to calculate poverty among one of the world’s largest refugee populations, Afghans in Iran. More importantly, it is one of the first to use capability and monetary approaches to provide a comprehensive perspective on Afghan refugees’ poverty. We estimated poverty using data collected from a sample of 2,034 refugee households in 2011 in Iran. We utilized basic needs poverty lines and the World Bank’s absolute international poverty line for our monetary poverty analyses and the global Multidimensional Poverty Index (MPI) for our capability analyses of poverty. Findings show that nearly half of the Afghan households were income-poor, approximately two percent of the households had less than USD 1.25 per person per day, and about 28% of the surveyed households were multidimensionally deprived. Results suggest that 60% of the income-poor households were not deprived from minimal education, health, and standards of living based on the MPI criteria, and about 32% of the multidimensionally deprived households were not income-poor. These findings call for more attention to poverty measurement methods, specifically for social workers and policy makers in the field, to gain a more realistic understanding about refugees’ wellbeing.

scholarly journals Measuring Vulnerability to Multidimensional Poverty

2019 ◽  
Vol 148 (1) ◽  
pp. 67-103 ◽  
Author(s):  
Mauricio Gallardo
Keyword(s):  
Multidimensional Poverty ◽  
Risk Behaviour ◽  
Poverty Measurement ◽  
Multidimensional Space ◽  
Poverty Index ◽  
Cross Sectional ◽  
Multidimensional Poverty Index ◽  
Wide Range ◽  
Vulnerability Indicators ◽  
Vulnerability To Poverty

Abstract A method to measure vulnerability to multidimensional poverty is proposed under a mean–risk behaviour approach. We extend the unidimensional downside mean–semideviation measurement of vulnerability to poverty towards the multidimensional space by incorporating this approach into Alkire and Foster’s multidimensional counting framework. The new approach is called the vulnerability to multidimensional poverty index (VMPI), alluding to the fact that it can be used to assess vulnerability to poverty measured by the multidimensional poverty index (MPI). The proposed family of vulnerability indicators can be estimated using cross-sectional data and can include both binary and metric welfare indicators. It is flexible enough to be applied for measuring vulnerability in a wide range of MPI designs, including the Global MPI. An empirical application of the VMPI and its related indicators is illustrated using the official MPI of Chile as the reference poverty measurement. The estimates are performed using the National Socioeconomic Characterisation Survey (CASEN) for the year 2017.

scholarly journals Contrasting Monetary and Multidimensional Poverty Measures in a Low-Income Sub-Saharan African Country

2020 ◽  
Vol 151 (2) ◽  
pp. 547-574 ◽  
Author(s):  
Lukas Salecker ◽  
Anar K. Ahmadov ◽  
Leyla Karimli
Keyword(s):  
Risk Factors ◽  
Low Income ◽  
Multidimensional Poverty ◽  
Poverty Measurement ◽  
Sub Saharan Africa ◽  
Analytical Strategy ◽  
Poverty Risk ◽  
Two Measures ◽  
Sub Saharan ◽  
Over Time

AbstractDespite significant progress in poverty measurement, few studies have undertaken an in-depth comparison of monetary and multidimensional measures in the context of low-income countries and fewer still in Sub-Saharan Africa. Yet the differences can be particularly consequential in these settings. We address this gap by applying a distinct analytical strategy to the case of Rwanda. Using data from two waves of the Rwandan Integrated Household Living Conditions Survey, we combine comparing poverty rates cross-sectionally and over time, examining the overlaps and differences in the two measures, investigating poverty rates within population sub-groups, and estimating several statistical models to assess the differences between the two measures in identifying poverty risk factors. We find that using a monetary measure alone does not capture high incidence of multidimensional poverty in both waves, that it is possible to be multidimensional poor without being monetary poor, and that using a monetary measure alone overlooks significant change in multidimensional poverty over time. The two measures also differ in which poverty risk factors they put emphasis on. Relying only on monetary measures in low-income sub-Saharan Africa can send inaccurate signals to policymakers regarding the optimal design of social policies as well as monitoring their effectiveness.

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