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.

scholarly journals Provincial Poverty in Nepal

Patan Pragya ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 66-77
Author(s):  
Gokarna Prasad Gyanwali
Keyword(s):  
Poverty Reduction ◽  
Multidimensional Poverty ◽  
Poverty Index ◽  
Daily Lives ◽  
Middle Income ◽  
Specific Data ◽  
Multidimensional Poverty Index ◽  
The People ◽  
Reduction Strategies ◽  
Economic Imperative

Poverty is not only the severe economic condition of people but it is also the cultural, ethical, social, political, psychological and economic imperative of mankind. It is one of the distressing circumstances of people in developing countries have to contend with in their daily lives. It is common among the low and middle income class in these countries like Nepal. This research is based on the multidimensional poverty index (MPI) such as those related to education, health, material wellbeing, energy, water and sanitation, structure of house, and access to other services, varies considerably in seven provinces of Nepal. It illustrates the importance of location-specific data in the development of effective poverty reduction strategies of federal and provincial governments. The MPI shows that, the 28.6%of the people of Nepal are still multi-dimensionally poor meaning that their lives are battered by several deprivations simultaneously. This paper also discusses about the trends and measurement of poverty in Nepal as well as the provincial socio-economic conditions and distribution of poverty.

scholarly journals Multidimensional Relative Poverty of Farmers in Tibetan Areas – Based on a Data Analysis on Micro Surveys

2021 ◽  
Vol 4 (6) ◽  
pp. 84-90
Author(s):  
Shilian Zhu
Keyword(s):  
Poverty Reduction ◽  
Multidimensional Poverty ◽  
Poverty Index ◽  
Absolute Poverty ◽  
Relative Poverty ◽  
One Dimensional ◽  
Multidimensional Poverty Index ◽  
Head Of Household ◽  
Multidimensional Deprivation ◽  
Per Capita

In 2020, the issue of absolute poverty has been solved, and China is building a well-off society in an all-round way. The issue of relative poverty is an important content of poverty reduction. Based on a survey data from Danba County in October 2020, this paper uses the AF method to calculate the incidence of multidimensional poverty and the multidimensional poverty index. The results showed that 44.65% of the farmers have multidimensional deprivation of any three indicators of relative poverty, and 2.79% of the farmers have serious multidimensional deprivation; the incidence of one-dimensional poverty in terms of “educational level index of head of household,” “per capita non-transfer income of households in 2019,” and “per capita household income in 2019” is the highest; at the same time, the contribution rate of the three indicators to the multidimensional poverty index is also higher than other indicators. Therefore, several suggestions have been put forward to alleviate the multidimensional relative poverty in the region from the aspects of industry development and education.

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. 

Multidimensional Poverty Indices

2016 ◽  
Author(s):  
Jean-Yves Duclos ◽  
Luca Tiberti
Keyword(s):  
United Nations ◽  
Development Program ◽  
Multidimensional Poverty ◽  
Poverty Index ◽  
United Nations Development Program ◽  
Multiple Deprivation ◽  
Multidimensional Poverty Index ◽  
Poverty And Inequality ◽  
The United Nations ◽  
Nations Development

This chapter reviews and assesses issues involved in the measurement of multidimensional poverty, in particular the soundness of the various “axioms” and properties often imposed on poverty indices. It argues that some of these properties (such as those relating poverty and inequality) may be sound in a unidimensional setting but not so in a multidimensional one. Second, it addresses critically some of the features of recently proposed multidimensional poverty indices, in particular the Multidimensional Poverty Index (MPI) recently put forward by the United Nations Development Program. The MPI suffers from several unattractive features that need to be better understood (given the prominence of the index). The MPI fails in particular to meet all of three properties that one would expect multidimensional poverty indices to obey: continuity, monotonicity, and sensitivity to multiple deprivation. Robustness techniques to address some of the shortcomings of the use of such indices are briefly advocated.

scholarly journals Regional Differentials in Multidimensional Poverty in Nepal: Rethinking Dimensions and Method of Computation

SAGE Open ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 215824401983745 ◽  
Author(s):  
Srinivas Goli ◽  
Nagendra Kumar Maurya ◽  
Moradhvaj ◽  
Prem Bhandari
Keyword(s):  
Poverty Reduction ◽  
Multidimensional Poverty ◽  
Standard Of Living ◽  
Income Poverty ◽  
Poverty Index ◽  
Multidimensional Poverty Index ◽  
Economic Progress ◽  
Education And Health ◽  
Development Policies ◽  
Nationally Representative

This article examines the extent of regional inequality in multidimensional poverty in Nepal using the nationally representative Nepal Demographic Health Survey (2011) data. The authors present a more robust method of multidimensional poverty index (MPI), particularly in terms of the procedure of estimation and aggregation of the indicators as compared with previous studies. The findings suggest that despite the relatively better economic progress and a considerable reduction in education and health poverty, there is a wide inequality across the regions. Far less has been achieved in the case of reducing the standard of living poverty, that is, wealth poverty and inequalities across the regions. The article finds that global MPI tends to inflate poverty estimates in the case of Nepal. It also suggests that development policies and poverty reduction programs in Nepal must aim to reduce multidimensional poverty, of which deprivation in education, health and basic amenities must be an integral component, along with their efforts to improve economic growth and reduce income poverty.

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 Effects of the reward of internal migration on poverty status of rural households left behind in Ogun and Osun States, Nigeria

2019 ◽  
Vol 52 (3-4) ◽  
pp. 129-138
Author(s):  
Esther Toluwatope Tolorunju ◽  
Adewale Oladapo Dipeolu ◽  
Rahman Akintayo Sanusi ◽  
Dare Akerele
Keyword(s):  
Internal Migration ◽  
Rural Households ◽  
Multidimensional Poverty ◽  
Farm Size ◽  
Primary Data ◽  
Poverty Index ◽  
Multidimensional Poverty Index ◽  
South West ◽  
Binary Logit ◽  
Poverty Status

AbstractIn this study we analysed the effect of the reward of internal migration on the poverty status of rural households in South-West Nigeria. The types and channels of internal remittances received by rural households as well as the poverty profile and effect of internal remittances on the poverty status of rural households in South-West, Nigeria were assessed. Structured questionnaire was used to obtain primary data from respondents. Data were analysed using descriptive statistics, Multidimensional Poverty Index and Binary Logit regression. Findings revealed that 56.2% of the household heads were male, 67.4% were married, 42.3% had primary education and 58.3% received internal remittances through personal delivery (69%) with a mean age and household size of 55 years and 5 persons, respectively. However, based on Multidimensional Poverty Index benchmark of 0.333, 80.0% of the rural households were poor with a poverty intensity of 0.863. Binary Logit showed that age squared, remittance receipt, rearing of small livestock and farm size increased households’ likelihood of escaping poverty. In conclusion, internal remittances reduced poverty of rural households in the study area and as such continuous flow of remittances into rural households should be enhanced in order to facilitate improved standard of living.

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