The multidimensional poverty indicators: ‘Who are the poor?’

2013 ◽  
pp. 175-209
Keyword(s):  
Multidimensional Poverty ◽  
The Poor ◽  
Poverty Indicators

scholarly journals Multidimensional Poverty Measurement in Pakistan :Time Series Trends and Breakdown

2012 ◽  
Vol 51 (4II) ◽  
pp. 493-504 ◽  
Author(s):  
Taseer Salahuddin ◽  
Asad Zaman
Keyword(s):  
Time Series ◽  
Recent Literature ◽  
Caloric Intake ◽  
Multidimensional Poverty ◽  
Poverty Measurement ◽  
New Approach ◽  
Rational Agents ◽  
Multidimensional Poverty Measurement ◽  
The Poor ◽  
The Right

In the recent literature, consensus has emerged that poverty is a multidimensional phenomenon; see Alkire and Santos (2010) for a review of the major arguments. Nonetheless, the most widely used measures of poverty remain unidimensional, being based on income or caloric intake cutoffs. The logic for the use of income based measures was that it was only lack of income which led to deprivation—with sufficient income; rational agents would automatically eliminate deprivations in all dimensions in the right sequence of priorities. However, careful studies like Thorbecke (2005) and Banerjee and Duflo (2006) show that this does not happen. Even while malnourished and underfed, the poor spend significant portions of their budgets on festivals, weddings, alcohol, tobacco and other non-essential items. The move from abstract theoretical speculation based on mathematical models of human behaviour to experiments and observations of actual behaviour has led to dramatic changes in the understanding of poverty and how to alleviate it. Some of these insights are encapsulated in a new approach to poverty advocated by Banerjee and Duflo (2011).

scholarly journals Does Religiosity Affect Multidimensional Poverty? Evidence from World Values Survey (2010-2014)

2019 ◽  
Vol 32 (2) ◽  
pp. 3-24
Author(s):  
Salman Syed Ali Salman Syed Ali
Keyword(s):  
Economic Growth ◽  
Multidimensional Poverty ◽  
Macro Level ◽  
World Values Survey ◽  
Counting Approach ◽  
The Poor ◽  
The Impact

Based on macro-level observations that high religiosity is associated with lower economic growth, it is generally assumed that religiosity contributes to poverty. However, this conjecture may not be true because religion provides motivation to the poor, encourages cooperation in society, and influences preferences and habits in ways that could help reduce poverty. The present paper uses data from World Values Survey (WVS) covering 52 countries and 74,042 individuals, to construct a measure of multidimensional poverty based on deprivation counting approach and a measure of religiosity based on faith deprivation. It then addresses three questions: (a) Is religiosity similar among multidimensional-poor and non-poor? (b) Are there any differences in dimensions of deprivations among high religiosity and low religiosity people? (c) What is the impact of religiosity on multidimensional poverty? It finds that higher religiosity is associated with lower multidimensional poverty; faith-poor are more deprived in their protections of intellect and posterity than protections of life and wealth. A decrease in religiosity increases multidimensional poverty. An implication of the study is that a religious society would be less poor even if its economic growth is slow.

Targeting with Agents

2013 ◽  
Vol 5 (1) ◽  
pp. 206-238 ◽  
Author(s):  
Paul Niehaus ◽  
Antonia Atanassova ◽  
Marianne Bertrand ◽  
Sendhil Mullainathan
Keyword(s):  
Necessary Conditions ◽  
Poverty Line ◽  
Central Problem ◽  
Statistical Accuracy ◽  
Line Card ◽  
The Poor ◽  
Using Data ◽  
Poverty Indicators

Targeting assistance to the poor is a central problem in development. We study the problem of designing a proxy means test when the implementing agent is corruptible. Conditioning on more poverty indicators may worsen targeting in this environment because of a novel tradeoff between statistical accuracy and enforceability. We then test necessary conditions for this tradeoff using data on Below Poverty Line card allocation in India. Less eligible households pay larger bribes and are less likely to obtain cards, but widespread rule violations yield a de facto allocation much less progressive than the de jure one. Enforceability appears to matter. (JEL D12, I32, I38, O12, O15)

Multidimensional poverty in Afghanistan: who are the poorest of the poor?

2016 ◽  
Vol 44 (2) ◽  
pp. 220-245 ◽  
Author(s):  
Jean-Francois Trani ◽  
Jill Kuhlberg ◽  
Timothy Cannings ◽  
Dilbal Chakkal
Keyword(s):  
Multidimensional Poverty ◽  
The Poor

scholarly journals Measuring Multidimensional Poverty in Kabul

2021 ◽  
pp. 25-55
Keyword(s):  
Child Labor ◽  
Research Method ◽  
Statistical Tests ◽  
Multidimensional Poverty ◽  
Living Standards ◽  
Data Collection Tool ◽  
Statistical Population ◽  
The Poor ◽  
Per Capita ◽  
Spss Software

The main aim of this study is to measure the extent of multidimensional poverty in Kabul and compare different areas. The research method is a survey. The data collection tool is a researcher-made questionnaire. The statistical population of the study is all households living in Kabul. Since the residents of Kabul is over 6 million people, we use Cochran's formula. We selected 300 families. According to the research background, the judges determined the validity of the questionnaire. We used Cronbach's Alpha calculation to determine the questionnaire's reliability. The value of which was (78.9%) on average for different sections. To perform statistical tests, we use SPSS software. The results show that generally, households in Kabul are not the poor according to the dimensions and criteria of multidimensional poverty; because the maximum deprivation rate is less than (40 %(. Partly, the highest poverty rates were related to the criteria such as (37%) deprivation in the roof of the house, (28.7%) deprivation in the wall of the house, (27.3%) deprivation of literacy in adults, and (18.8%) deprivation in the per capita room. The lowest deprivation rates were (0.3%) for electricity, (1%) for bathrooms, (2.3%) for children, (4.3%) for disability, (4.4%) for drinking water, (6.7%) for unemployment, (6.7%) for children, (8%) for household floors, and (9.7%) for health services. There are no restrictions on child labor, heating facilities, and cooking fuel. Also, among the surveyed areas, District 4 has the highest deprivation and poverty in terms of education, living standards, work, and housing compared to other selected areas of Kabul city.

scholarly journals Aid, Multidimensional Poverty and Growth: Reversing the Micro-Macro Paradox in Guinea, Liberia and Sierra Leone

Land ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 10
Author(s):  
José María Larrú ◽  
Carlos Quesada González
Keyword(s):  
Sustainable Development ◽  
Sierra Leone ◽  
Multidimensional Poverty ◽  
Sub Saharan Africa ◽  
Vector Model ◽  
Global Partnership ◽  
2030 Agenda ◽  
Sub Saharan ◽  
Poverty Indicators ◽  
Effective Development

This article analyses whether Official Development Assistance (ODA) is linked to multidimensional poverty indicators in the context of the 2030 Agenda for Sustainable Development, the Sustainable Development Indictors and the principles stated by the Global Partnership for Effective Development Co-operation. Focused on three western Sub-Saharan Africa and least developing countries such as Guinea, Liberia and Sierra Leone, this article uses Error Correction Vector Model to estimate if ODA and economic growth are cointegrated and a sectoral and spatial analysis to check if ODA are linked to Multidimensional Poverty Indicators in the sample countries. Despite the 2014 Ebola outbreak, the three countries have achieved noticeable good results in poverty alleviation. Results shows a certain macro-micro paradox because, despite a common trend between aid and growth identified at the macro level, we cannot find any sign of ODA contributions to the multidimensional poverty indicators when the micro level analysis is carried out. Our results may serve to increase the level of implementation of the ownership principle for effective development co-operation and achieve a significant improvement of several goals and targets included on the 2030 Agenda.

scholarly journals ZAKAT AND POVERTY ALLEVIATION IN INDONESIA: A PANEL ANALYSIS AT PROVINCIAL LEVEL

2020 ◽  
Vol 6 (4) ◽  
Author(s):  
Evi Aninatin Nimatul Choiriyah ◽  
Abdul Kafi ◽  
Irma Faikhotul Hikmah ◽  
Imam Wahyudi Indrawan
Keyword(s):  
Poverty Alleviation ◽  
Empirical Investigation ◽  
Severity Index ◽  
Annual Data ◽  
Panel Analysis ◽  
The Poor ◽  
Dependent Variables ◽  
Poverty Indicators ◽  
Poor Population

As a pillar of Islam and an instrument for poverty alleviation, zakat is perceived as aneffective tool for tackling the problem of poverty in the Muslim world. However,whether zakat is effective in improving indicators of both quantity and quality ofpoverty is still a question requiring empirical investigation. This study is aims toempirically investigate the role of impactful zakat in poverty alleviation as indicated bythe BAZNAS prosperity index (Indeks Kesejahteraan BAZNAS or IKB), at provinciallevel in Indonesia. This study covers annual data from 28 provinces in Indonesia forthe years 2017 and 2018. Data analysis uses a panel-data approach, with threeindicators of poverty – the poverty headcount ratio (P0), poverty gap index (P1), andpoverty severity index (P2) – as dependent variables. The study finds that higherBAZNAS IKB, used as a sign of impactful zakat, significantly reduces P0 but hasinsignificant effect on P1 and P2. The results of this study imply that zakat managersshould put emphasis on the poorest section of the poor population to enableimprovements in poverty indicators through zakat utilization.

Gender Dimension on the Living Conditions of Poor Household Heads in Sefene-Selam Sub-City, Bahir Dar, Ethiopia

2020 ◽  
Vol 9 (4) ◽  
pp. 30-62
Author(s):  
Yetimwork Anteneh Wondim
Keyword(s):  
Poverty Reduction ◽  
Living Condition ◽  
Bahir Dar ◽  
Structured Interviews ◽  
Men And Women ◽  
The Poor ◽  
Sequential Explanatory Mixed Method ◽  
Study Population ◽  
Household Heads ◽  
Poverty Indicators

Men and women in general, male house heads and female house heads in particular experience poverty in different ways and use different mechanisms to overcome it. This is mainly because of the different roles they play in their community, which exposes them to different constraints, opportunities, and needs. Therefore, men and women experience poverty differently. Therefore, the very purpose of this study was to assess the gender dimension in the living condition of poor female and male-headed households in Sefen-Selam Sub-city, Bahir Dar. To meet these objectives, the study used a Sequential Explanatory Mixed Method design. Survey questionnaires and Semi-structured interviews were used to gather data. Descriptive and thematic analysis was used for quantitative and qualitative data analysis. The analysis of the study was based on 175 households, of which 129 were female-headed and 46 male-headed households. Accordingly, the monetary and non-monetary poverty indicators pointed out the poor living condition of the study population in general. Nevertheless, problems were found to be more severe among households headed by women. Therefore, the national, regional, and local poverty reduction programs and strategies should give special attention to the poor in general and the female-headed families in particular for its success.

Exploring the Causes of Multidimensional Poverty Indicators in Bauchi State and its Mitigation Strategies

2018 ◽  
Vol 2 (1) ◽  
pp. 126-143
Author(s):  
Musa Umar Farouk ◽  
Abdullah Mohamad Ainuddin Iskandar Lee Bin ◽  
Wahid Ratnaria
Keyword(s):  
Multidimensional Poverty ◽  
Mitigation Strategies ◽  
Poverty Indicators

Multidimensional poverty approach and development of poverty indicators: the case of Bangladesh

2014 ◽  
Vol 22 (3) ◽  
pp. 268-289 ◽  
Author(s):  
Tamgid Ahmed Chowdhury ◽  
Pundarik Mukhopadhaya
Keyword(s):  
Multidimensional Poverty ◽  
Poverty Indicators
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