scholarly journals Analyzing Rural Poverty Considering Multidimensional Poverty Index: A Case Study in Jalma Union

2017 ◽  
Vol 5 (4) ◽  
pp. 25 ◽  
Author(s):  
Pintu Kumar Sheel
2019 ◽  
Vol 8 (4) ◽  
pp. 3759-3764

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


2021 ◽  
Author(s):  
Md. Sohel Rana ◽  
Sk. Nafiz Rahaman ◽  
Md. Rimu Mia ◽  
Ferdous Hussain ◽  
Hriday Molla ◽  
...  

GeoJournal ◽  
2018 ◽  
Vol 84 (6) ◽  
pp. 1403-1416
Author(s):  
Sumya Sydunnaher ◽  
Kazi Saiful Islam ◽  
Md. Manjur Morshed

Author(s):  
Tampakmayum Alan Mustofa ◽  
Mohd Himat Ali Tampakmayum ◽  
Md Qamar Azam

This paper analyses poverty among the rural Pangals in Manipur on a Multidimensional perspective. For the analysis, Borayangbi Gram Panchayat where Pangal community settle in large number is selected. By utilizing a field survey data conducted during the first quarter of 2019 the Multidimensional Poverty of Borayangbi Gram Panchayat is estimated. Borayangbi is a remote village located in the southern part of Imphal Valley under Moirang Sub-Division in Bishnupur District, Manipur. The village is worthwhile to study its level of poverty and deprivation as there are limited studies in this area. Multidimensional Poverty Index captures the simultaneous deprivations of each person in different households. The methodology used in the study is developed by Alkire and Foster and involves three dimensions: health, education and living standard. Additional indicators are also used to suit the study of the area concerned. This methodology enhances the better understanding of poverty and deprivation of the concern village. A stratified random sampling technique was used to conduct the survey of 100 households in the village. In the study, it is found that the largest contribution of deprivation is the dimension of living standard. People in the village experience maximum deprivation in the indicators of cooking fuels and safe drinking water. The results and information can be used to design policy perspective of the village and help in targeting poverty alleviation program. KEYWORDS: Multidimensional Poverty Index, Alkire Foster Method, Borayangbi, Pangals


2019 ◽  
Vol 148 (1) ◽  
pp. 67-103 ◽  
Author(s):  
Mauricio Gallardo

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.


2018 ◽  
Vol 16 (7) ◽  
Author(s):  
Mohd Khairi Ismail ◽  
Chamhuri Siwar ◽  
Rospidah Ghazali

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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