scholarly journals Using Multidimensional Poverty Measures in Impact Evaluation: Emergency Housing and the “Declustering” of Disadvantage

2021 ◽  
pp. 1-24
Author(s):  
Ann Mitchell ◽  
Jimena Macció
Keyword(s):  
Impact Evaluation ◽  
Multidimensional Poverty ◽  
Poverty Measures ◽  
Emergency Housing

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 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.

Monetary and Non-Monetary Poverty within Urban Locals and Rural Migrants in China using Inequality-Sensitive Poverty Measures

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jing Yang ◽  
Pundarik Mukhopadhaya
Keyword(s):  
Health Insurance ◽  
Multidimensional Poverty ◽  
Logit Analysis ◽  
Pension Insurance ◽  
Rural Migrants ◽  
Poverty Measure ◽  
Poverty Measures ◽  
Multiple Dimensions ◽  
Urban Migrant ◽  
Using Data

Abstract This paper measures monetary and non-monetary poverty among urban local and rural migrant groups in the urban labour market in China, capturing incidence, intensity and inequality of poverty. To measure non-monetary poverty in multiple dimensions the chosen indicators are education, health status, health insurance and pension insurance. Using data from the China Household Income Project for the years 2002, 2007, and 2013, it appears that although monetary poverty in both groups is low, migrants have higher levels of non-monetary deprivation for various levels of poverty thresholds. Compared to the urban locals, the rural migrants experienced relatively less severe poverty than mild or moderate poverty during 2002 and 2007. Our Shapley decomposition exercise on non-monetary poverty measure reveals that the incidence contributes most to the urban-migrant gap, and the contribution of intensity is higher than that of inequality. The most important factors in multidimensional poverty for both groups are health insurance and pension insurance in all years. Our logit analysis shows that the effects of demographic characteristics, level of contract, occupation, and the industry have different impacts on these two groups.

scholarly journals Distribution-Sensitive Multidimensional Poverty Measures

2018 ◽  
Vol 33 (3) ◽  
pp. 551-572 ◽  
Author(s):  
Gaurav Datt
Keyword(s):  
Multidimensional Poverty ◽  
Decomposition Methods ◽  
Convexity Property ◽  
Nonlinear Structure ◽  
Distinctive Features ◽  
The Poor ◽  
Poverty Measures ◽  
Shapley Decomposition ◽  
Dimensional Decomposition ◽  
Empirical Illustration

Abstract This paper presents axiomatic arguments to make the case for distribution-sensitive multidimensional poverty measures. The commonly used counting measures violate the strong transfer axiom, which requires regressive transfers to be unambiguously poverty increasing, and they are also invariant to changes in the distribution of a given set of deprivations among the poor. The paper appeals to strong transfer as well as an additional cross-dimensional convexity property to offer axiomatic justification for distribution-sensitive multidimensional poverty measures. Given the nonlinear structure of these measures, it is also shown how the problem of an exact dimensional decomposition can be solved using Shapley decomposition methods to assess dimensional contributions to poverty. An empirical illustration for India highlights distinctive features of the distribution-sensitive measures.

scholarly journals Monetary and Multidimensional Poverty of the Tea Garden Labour Community of Dibrugarh District of Assam, India

2019 ◽  
Vol 8 (4) ◽  
pp. 3759-3764
Keyword(s):  
Rural Poverty ◽  
Multidimensional Poverty ◽  
Poverty Line ◽  
Poverty Index ◽  
Primary Survey ◽  
Multidimensional Poverty Index ◽  
Poverty Measures ◽  
Tea Garden

This paper aims at measuring the level of both monetary poverty and multidimensional poverty of the tea garden labour community of the Dibrugarh district of Assam. The paper also aims at comparing the monetary poverty and multidimensional poverty of the tea garden labour community of the Dibrugarh district of Assam. The present study is mainly a primary survey based study. Monetary poverty is measured on the basis of the official state specific rural poverty line and using Foster-Greer-Thorbecke class of poverty indices. Multidimensional poverty is measured using Alkaire-Foster methodology. Then for comparing monetary and multidimensional poverty the study used the simple cross tables. The findings of the study show that monetary poverty headcount ratio of the sample tea garden labour community is 48.89 percent. The value of the multidimensional poverty index declines with higher multidimensional poverty cutoffs. The comparison of the monetary and multidimensional poverty shows that for all the three multidimensional poverty cutoffs the similarity between the two poverty measures is higher than the mismatch between them

Beyond multidimensional poverty: challenges of measurement and its link with social policy in Mexico

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oscar A. Martínez-Martínez ◽  
Brenda Coutiño ◽  
Araceli Ramírez-López
Keyword(s):  
Social Policy ◽  
Mexico City ◽  
Design Methodology ◽  
Social Deprivation ◽  
Public Policies ◽  
Multidimensional Poverty ◽  
Content Type ◽  
Poverty Measures ◽  
The Social ◽  
Study Context

PurposeComprehensive poverty measures are increasingly gaining importance since people's deprivations and needs cover aspects beyond income. For this reason, the goal of this article is to propose a methodology to measure poverty that includes objective social deprivation, income deprivation and subjective social deprivation, using Mexico City and its municipalities as the study context. In order to show areas of intervention of public policies, the authors discuss the dimensions and indicators used in the multidimensional measurement.Design/methodology/approachUsing the Social Welfare Survey (N = 2,871), the authors measure poverty with the Alkire-Foster methodology. The applied concept of poverty includes objective and subjective deprivations, and income.FindingsThe interaction between objective and subjective deprivations shows that income, social cohesion, built environment and public insecurity are important areas for the redesigning of public policies.Originality/valueThe employed method to measure poverty emphasizes the relevance of including subjective deprivations in interaction with objective deprivations and income. It evidences the need for the implementation or strengthening of public policies.

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