scholarly journals EXPLORING MULTIDIMENSIONAL PERSPECTIVE OF POVERTY AMONG THE RURAL PANGALS IN MANIPUR: A CASE STUDY

2021 ◽  
pp. 5-13
Author(s):  
Tampakmayum Alan Mustofa ◽  
Mohd Himat Ali Tampakmayum ◽  
Md Qamar Azam
Keyword(s):  
Field Survey ◽  
Sampling Technique ◽  
Multidimensional Poverty ◽  
Three Dimensions ◽  
Living Standard ◽  
Poverty Index ◽  
Multidimensional Poverty Index ◽  
Cooking Fuels ◽  
The Village

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

scholarly journals A clustering approach to identify multidimensional poverty indicators for the bottom 40 percent group

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255312
Author(s):  
Mariah Abdul Rahman ◽  
Nor Samsiah Sani ◽  
Rusnita Hamdan ◽  
Zulaiha Ali Othman ◽  
Azuraliza Abu Bakar
Keyword(s):  
Financial Burden ◽  
Multidimensional Poverty ◽  
Three Dimensions ◽  
Attribute Selection ◽  
Living Standard ◽  
Poverty Index ◽  
Multidimensional Poverty Index ◽  
Clustering Model ◽  
The Government ◽  
The Right

The Multidimensional Poverty Index (MPI) is an income-based poverty index which measures multiple deprivations alongside other relevant factors to determine and classify poverty. The implementation of a reliable MPI is one of the significant efforts by the Malaysian government to improve measures in alleviating poverty, in line with the recent policy for Bottom 40 Percent (B40) group. However, using this measurement, only 0.86% of Malaysians are regarded as multidimensionally poor, and this measurement was claimed to be irrelevant for Malaysia as a country that has rapid economic development. Therefore, this study proposes a B40 clustering-based K-Means with cosine similarity architecture to identify the right indicators and dimensions that will provide data driven MPI measurement. In order to evaluate the approach, this study conducted extensive experiments on the Malaysian Census dataset. A series of data preprocessing steps were implemented, including data integration, attribute generation, data filtering, data cleaning, data transformation and attribute selection. The clustering model produced eight clusters of B40 group. The study included a comprehensive clustering analysis to meaningfully understand each of the clusters. The analysis discovered seven indicators of multidimensional poverty from three dimensions encompassing education, living standard and employment. Out of the seven indicators, this study proposed six indicators to be added to the current MPI to establish a more meaningful scenario of the current poverty trend in Malaysia. The outcomes from this study may help the government in properly identifying the B40 group who suffers from financial burden, which could have been currently misclassified.

scholarly journals Multidimensional Poverty, Social Networks: Spatial Neighbourhoods on Poverty Eradication in Tumpang District, Malang Regency

2021 ◽  
Vol 23 (1) ◽  
pp. 115-126
Author(s):  
Ismu Rini Dwi Ari ◽  
Budi Soegiarto Waloejo ◽  
Septiana Hariyani
Keyword(s):  
Social Relations ◽  
Poverty Alleviation ◽  
Multidimensional Poverty ◽  
Two Dimensions ◽  
Three Dimensions ◽  
Living Standard ◽  
Research Approach ◽  
Public Facility ◽  
Poverty Level ◽  
Multidimensional Poverty Index

Poverty is multidimensional problem of the development that cause human difficulties in accessing public facility and infrastructure. Along with target of SDGs regarding poverty alleviation, main aims of this research are i) measure poverty level through three dimensions – health, education and standard of living of the Multidimensional Poverty Index (MPI), and ii) scrutinize influential variables of the poverty through Spatial Regression Analysis whereby physical as well as social variables are put it together in the model. This research would like to propose a set of research approach on how dealing with poverty in a certain area.  Area of study is Tumpang district in Malang Regency, East Java Province consist of 15 villages, wherein at about 36,61% family are receiver of the Raskin (Beras Miskin – Poor Rice) program as one of the poverty alleviation programs in Indonesia. Both field observation as well as depth interview are conducted towards 274 head of households. Result study finds out that there are five villages which have high value of MPI in Tumpang District, namely Duwet Krajan, Duwet, Benjor, Tulusbesar and Kidal, and the two dimensions – education and living standard give significant contribution to the poverty. Next, poverty in the research area has influenced by both social relations among residents within a village as well as geographical location of the nearest neighbourhoods. Then, eradication poverty is necessary to put consideration on strengthening ‘constructive’ social relations among residents through their existence community groups.

scholarly journals Impact of Socio Economics Variables on Poverty: An Empirical Analysis for District Chitral of KPK Pakistan

2017 ◽  
Vol 8 (3) ◽  
pp. 46-53
Author(s):  
Faiz Muhammad ◽  
Amjad Ali
Keyword(s):  
Regression Analysis ◽  
Negative Impact ◽  
Positive Impact ◽  
Household Head ◽  
Sampling Technique ◽  
Multidimensional Poverty ◽  
Poverty Index ◽  
Multidimensional Poverty Index ◽  
Household Poverty ◽  
The Impact

This study investigates the impact of socioeconomic variables on household poverty in Chitral valley, the largest district of Khyber Pakhtunkhwa Province of Pakistan. The household poverty index has been constructed while calculating multidimensional poverty index for each household. For this purpose, a representative sample of 252 households has been surveyed while distributing a questionnaire to each household. The data have been collected through stratified sampling technique and the collected data then analyzed while applying descriptive statistical tools and regression techniques. The regression analysis was done while taking explanatory variables as income of the household, the gender of household head, lives stock population of household, age of household head and dependence ratio of the household. Results of the regression analysis show that lives stock population and income of household have significant negative impact on household poverty. The results further reveal that dependency ratio has also significant positive impact on household poverty. Different diagnostics tests have also been applied in order to test the assumptions of the linear regression model and the results of all the diagnostics show the absence of econometric problems in the estimated model. 

Measuring acute poverty using Multidimensional Poverty Index: a case study of Sarappur Union, Khulna

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

Spatiality of a multidimensional poverty index: a case study of Khulna City, Bangladesh

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

scholarly journals Analysis of multidimensional poverty dynamics in Indonesia: The effect of demographic and institutional factors

2020 ◽  
Vol 4 (02) ◽  
pp. 87-96
Author(s):  
Esha Najitama ◽  
Ghozali Maski ◽  
Asfi Manzilati
Keyword(s):  
Multidimensional Poverty ◽  
Institutional Factors ◽  
Poverty Dynamics ◽  
Poverty Index ◽  
Multidimensional Poverty Index ◽  
Human Needs ◽  
Indonesia Family Life Survey ◽  
Transient Poverty ◽  
Household Heads ◽  
The Village

Measuring poverty only from a monetary perspective is lacking. Given the variety of human needs, poverty needs to be measured multidimensionally. Hence, this study analyzes multidimensional poverty dynamics and identifies its determinants from the demographic and institutional factors. Using the Multidimensional Poverty Index (MPI) and data from the two survey periods of the Indonesia Family Life Survey (IFLS), it is known that multidimensional poverty tends to be transient rather than chronic. The highest education level of the head of the household, the level of dependency, the island of residence, the village political system, and the village government's corruption affect both chronic and transient poverty categories. The marital status of household heads, household size, and customary norms only affected the chronic poor category

scholarly journals MULTIDIMENSIONAL POVERTY AND INEQUALITY IN ZAWLNUAM BLOCK OF MAMIT DISTRICT, MIZORAM

2021 ◽  
pp. 20-27
Author(s):  
C.Lalnunmawia ◽  
Dr. Lalhriatpuii
Keyword(s):  
Poverty Reduction ◽  
Sampling Technique ◽  
Multidimensional Poverty ◽  
Primary Data ◽  
Poverty Index ◽  
Multidimensional Poverty Index ◽  
Multi Stage ◽  
Poverty And Inequality ◽  
Low Degree ◽  
Reduction Strategies

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.

Feminisation of Multidimensional Poverty in Rural Odisha

2020 ◽  
Author(s):  
Surya Narayan Biswal ◽  
◽  
S. K. Mishra ◽  
M. K. Sarangi ◽  
◽  
...  
Keyword(s):  
Rural Areas ◽  
Social Groups ◽  
Multidimensional Poverty ◽  
Cumulative Distribution ◽  
Policy Framework ◽  
Living Standard ◽  
Individual Level ◽  
Multidimensional Poverty Index ◽  
Order Stochastic Dominance ◽  
The Individual

UNDP’s 2030 agenda of Sustainable Development Goals (SDGs) emphasized gender equality in augmenting human capital and alleviating poverty. For eradication of extreme poverty and building resilience for persons who are vulnerable to poverty, SDGs calls for a pro-poor and gender-sensitive policy framework. In this context, a gender-based study on multi-dimensional aspects of poverty is highly significant. Extant literature reveals that females are more deprived in different dimensions of poverty such as education, health, living standard, empowerment, environment, autonomy and social relationship. The present study is conducted with the basic objective of examining feminization of poverty in rural areas of Jagatsinghapur district of Odisha. Seven socio-economic dimensions comprising sixteen indicators have been taken into consideration to construct the Multidimensional Poverty Index (MPI) using the Alkire-Foster (AF) Method at the individual level. The novelty of the study lies in analyzing MPI at the individual level for rural Odisha. Higher female deprivation is observed across social groups and all occupation categories except services. Dummy variable regression analysis also supports the major findings of the study. Complementary Cumulative Distribution Function satisfies strict first-order stochastic dominance condition and substantiates the feminisation of poverty at each level of poverty cut-off across all social groups and occupational categories except for services. The findings of the study have significant implications for developing suitable policies for gender equalization and poverty alleviation.

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