Multidimensional Poverty and Inequality Analysis

Author(s):  
Louis-Marie Asselin
Author(s):  
Rebeca Olivia Millán-Guerrero ◽  
Ramiro Caballero-Hoyos ◽  
Joel Monárrez-Espino

Abstract Background Recent evidence points to the relevance of poverty and inequality as factors affecting the spread and mortality of the COVID-19 pandemic in Latin America. This study aimed to determine whether COVID-19 patients living in Mexican municipalities with high levels of poverty have a lower survival compared with those living in municipalities with low levels. Methods Retrospective cohort study. Secondary data was used to define the exposure (multidimensional poverty level) and outcome (survival time) among patients diagnosed with COVID-19 between 27 February and 1 July 2020. Crude and adjusted hazard ratios (HR) from Cox regression were computed. Results Nearly 250 000 COVID-19 patients were included. Mortality was 12.3% reaching 59.3% in patients with ≥1 comorbidities. Multivariate survival analyses revealed that individuals living in municipalities with extreme poverty had 9% higher risk of dying at any given time proportionally to those living in municipalities classified as not poor (HR 1.09; 95% CI 1.06–1.12). The survival gap widened with the follow-up time up to the third to fourth weeks after diagnosis. Conclusion Evidence suggests that the poorest population groups have a lower survival from COVID-19. Thus, combating extreme poverty should be a central preventive strategy.


2020 ◽  
Vol 149 (2) ◽  
pp. 585-611 ◽  
Author(s):  
Misganaw Teshager Abeje ◽  
Atsushi Tsunekawa ◽  
Nigussie Haregeweyn ◽  
Zemen Ayalew ◽  
Zerihun Nigussie ◽  
...  

2015 ◽  
Vol 54 (4I-II) ◽  
pp. 685-698 ◽  
Author(s):  
Maqbool H. Sial ◽  
Asma Noreen ◽  
Rehmat Ullah Awan

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


Author(s):  
Rolf Aaberge ◽  
Andrea Brandolini

Author(s):  
Jean-Yves Duclos ◽  
Luca Tiberti

This chapter reviews and assesses issues involved in the measurement of multidimensional poverty, in particular the soundness of the various “axioms” and properties often imposed on poverty indices. It argues that some of these properties (such as those relating poverty and inequality) may be sound in a unidimensional setting but not so in a multidimensional one. Second, it addresses critically some of the features of recently proposed multidimensional poverty indices, in particular the Multidimensional Poverty Index (MPI) recently put forward by the United Nations Development Program. The MPI suffers from several unattractive features that need to be better understood (given the prominence of the index). The MPI fails in particular to meet all of three properties that one would expect multidimensional poverty indices to obey: continuity, monotonicity, and sensitivity to multiple deprivation. Robustness techniques to address some of the shortcomings of the use of such indices are briefly advocated.


Author(s):  
C.Lalnunmawia ◽  
Dr. Lalhriatpuii

Purpose: The study intends to examine the incidence and intensity of multidimensional poverty and inequality in Zawlnuam RD. Block of Mizoram, India. The core objective of the study is to compute Multidimensional Poverty Index (MPI) and compare and contrast the result across the study area. We also examined the degree of inequality in deprivations among people using variance of the deprivation scores. Methodology: This study was based on primary data which was collected through a multi-stage sampling technique. At the first stage, Zawlnuam RD. Block was selected. The second stage involved random selection of 5 villages from the RD, Block. Requisite data were then collected randomly through structured questionnaires which was designed based on the requirement for computation of Multidimensional Poverty Index. From the collected data, the incidence of poverty (headcount ratio), the intensity of poverty, and MPI were computed using Alkire-Foster Method. The study follows the ‘Global MPI Brief Methodological Note, 2017’ (Alkire & Roble, 2017 ) in the choice of dimensions, indicators, thresholds and weights assigned to each indicator. Results: From the result of the analysis, the multidimensional poverty in the study area is moderate. Decomposition of MPI by population sub-group reveals that poverty is most severe in Kolalian village followed by Thinghlun village, while Decomposition of MPI by component indicators show malnutrition as the most prevailing deprivation in the study area. The degree of inequality measured by variance of deprivation score ranges between 0.03 and 0.12 indicating low degree of inequality. Applications of this study: The findings of the study can be based for formulation of government poverty reduction policies and can be used effectively in improving the existing poverty reduction strategies in the state. KEY WORDS: Multidimensional Poverty, Inequality, Zawlnuam RD Block, Mizoram.


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