Weighting the Dimensions of the Multidimensional Poverty Index: Findings from Sri Lanka

2021 ◽  
Author(s):  
N. P. Ravindra Deyshappriya ◽  
Simon Feeny
Keyword(s):  
Sri Lanka ◽  
Multidimensional Poverty ◽  
Poverty Index ◽  
Multidimensional 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 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.

scholarly journals MULTIDIMENSIONAL POVERTY INDEX DI KECAMATAN KEDUNGKANDANG

2019 ◽  
Vol 11 (2) ◽  
pp. 53-60
Author(s):  
Wara Rukmi ◽  
◽  
Ismu Ari ◽  
Anestia Prabandari
Keyword(s):  
Multidimensional Poverty ◽  
Poverty Index ◽  
Multidimensional Poverty Index

scholarly journals Global Multidimensional Poverty Index 2014

2014 ◽  
Author(s):  
Sabina Alkire ◽  
Mihika Chatterjee ◽  
Adriana Conconi ◽  
Suman Seth ◽  
Ana Vaz
Keyword(s):  
Multidimensional Poverty ◽  
Poverty Index ◽  
Multidimensional Poverty Index

An Analysis of The Relation Between Foreign Direct Investment and Sociopolitical Variables in MENA Countries by Panel Regression

2019 ◽  
Vol 8 (1) ◽  
pp. 15-30
Author(s):  
Betül Gür
Keyword(s):  
Foreign Direct Investment ◽  
Human Development ◽  
Human Development Index ◽  
Direct Investment ◽  
Multidimensional Poverty ◽  
Panel Regression ◽  
Poverty Index ◽  
Development Index ◽  
Mena Countries ◽  
Multidimensional Poverty Index

Foreign direct investment (FDI) plays the role of an accelerator for the economic growth in host countries. Countries that provide the suitable environment economically and politically get ahead in this race. Over the last five years, the weighted importance of sociopolitical variables in the decision-making process has increased. The countries of the Middle East and North Africa (MENA) region, although they have a potential to develop, are regarded as country groups that have not yet fully achieved this. This article reveals and interprets the relationship between FDI and sociopolitical variables such as political risk, human development index, terrorism risk index, multidimensional poverty index, the rule of law, regulatory quality, and control of corruption, utilizing panel regression analysis. In the analysis of the MENA countries covering the years 2010-2016, it was concluded that all independent variables except the human development index and multidimensional poverty index were statistically significant and effective on FDI.

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