New perspectives on a more-or-less familiar poverty index

2010 ◽  
Vol 36 (2) ◽  
pp. 241-247
Author(s):  
Kristof Bosmans ◽  
Lucio Esposito ◽  
Peter Lambert
Keyword(s):  
Poverty Index

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 Global Insights Based on the Multidimensional Energy Poverty Index (MEPI)

2013 ◽  
Vol 5 (5) ◽  
pp. 2060-2076 ◽  
Author(s):  
Patrick Nussbaumer ◽  
Francesco Nerini ◽  
Ijeoma Onyeji ◽  
Mark Howells
Keyword(s):  
Poverty Index ◽  
Energy Poverty

scholarly journals Analysis of Poverty Profile by Type of House of Households in Nepal

2018 ◽  
Vol 21 (1) ◽  
pp. 1-4
Author(s):  
Krishna Prasad Acharya
Keyword(s):  
Count Rate ◽  
Poverty Line ◽  
Descriptive Statistics ◽  
Living Standards ◽  
Poverty Index ◽  
Cross Sectional ◽  
Head Count ◽  
Index Index

This study focuses on the Poverty Profile by type of house of Households in Nepal among 5,988 households of Nepal. It is based on the Nepal Living Standards Survey-III 2010/11 cross-sectional data. The data were used to analyze descriptive statistics including poverty profiles. The FGT poverty index (index proposed by Foster, Greer and Thorbecke) is employed to examine the head count rate or poverty incidence, poverty gap and severity poverty of Nepal. It reveals that 25.2% of the sample households live below the poverty line (Rs.19261 per individual per year) with an average poverty gap and squared poverty gap of 5.43% and 1.81 % respectively. Households living in Pakki and Non-Pakki houses are 0.8 and 52.4 percent average poor and 0.2 and 1.7 percent core poor respectively.

scholarly journals GAHAI AGROPOLITAN PROJECT IN ERADICATING POVERTY: MULTIDIMENSIONAL POVERTY INDEX

2018 ◽  
Vol 16 (7) ◽  
Author(s):  
Mohd Khairi Ismail ◽  
Chamhuri Siwar ◽  
Rospidah Ghazali
Keyword(s):  
Multidimensional Poverty ◽  
Living Standards ◽  
Poverty Index ◽  
Policy Makers ◽  
Extreme Poverty ◽  
Multidimensional Poverty Index ◽  
Household Members ◽  
Project Participants ◽  
Design And Construction

The planning and development of Agropolitan Project in Malaysia began in 2007 and was aimed at eradicating extreme poverty in Malaysia. This study aims to discuss the design and construction of Agropolitan Project in eradicating extreme poverty among its participants. This study uses the Multidimensional Poverty Index (MPI) found in the 11th Malaysian Plan, which includes the dimension of education, health, living standards, and earning. In addition, this study utilizes a survey involving 45 participants of an agropolitan project from Gahai, Lipis,Pahang. The result shows that only 5 of the respondents fall into the multidimensional poverty category, which involves 11.9 percent of the household members. The result of this study shows that the planning and development of Gahai Agropolitan Project, Lipis has succeeded in eradicating extreme poverty among the project participants. Deprivation faced by the respondents based on the MPI analysis can help policy makers in the design and construction of future agropolitan projects.

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