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 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 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 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 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
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