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 The impact of school reopening on COVID-19 dynamics in Bogotá, Colombia

2021 ◽  
Author(s):  
Guido España ◽  
Zulma M. Cucunubá ◽  
Hernando Diaz ◽  
Sean Cavany ◽  
Nelson Castañeda ◽  
...  
Keyword(s):  
Public Schools ◽  
Social Contact ◽  
Multidimensional Poverty ◽  
Face Mask ◽  
Poverty Index ◽  
Middle Income ◽  
Multidimensional Poverty Index ◽  
The World ◽  
The Impact ◽  
The City

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has affected millions of people around the world. In Colombia, 1.65 million cases and 43,495 deaths were reported in 2020. The exacerbation of poverty is a critical consequence of the pandemic, particularly in low- and middle-income countries. Schools have been closed in many places around the world to slow down the spread of SARS-CoV-2 and particularly in Latin America. In Bogotá, Colombia, public schools were closed since March 2020 and stayed closed for in-person instruction for the rest of the year, except for some schools that were open as a pilot for testing policies. To reconcile these two priorities in health and poverty, we estimated the impact of school reopening for in-person instruction in 2021. We used an agent-based model of SARS-CoV-2 transmission, considering social contact. The model includes schools that represent the set of private and public schools in terms of age, enrollment, location, and size. The model is calibrated to daily incidence of deaths in Bogotá. We simulated school reopening at different capacities, assuming high use of face mask, and evaluated the impact on the number of deaths in the city of different scenarios of school reopening by grade, and multidimensional poverty index. We found that school reopening, based on a correct use of face masks at 75% in >8 years of age, at 35% capacity had a small impact on the number of deaths reported in the city, assuming that overall mobility in the city was similar to the mobility during November. The increase in deaths was smallest when only pre-kinder was opened, and largest when secondary school was opened. Even at larger capacities, the impact on the number of deaths of opening pre-kinder was below 10%. Reopening other grades above 50% of capacity could significantly increase the number of deaths in the city. Reopening schools based on the multidimensional poverty index resulted in a similar increase in the number of deaths, independently on the level of poverty of schools. We conclude that the impact of schools reopening for in-person instruction is lower for pre-kinder grades and the magnitude of additional deaths associated with school reopening can be minimized by adjusting capacity in older grades. In addition, opening lower grades could allow adults, especially the poorest women to return to work.

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 How Poor Are People With Disabilities? Evidence Based on the Global Multidimensional Poverty Index

2020 ◽  
pp. 104420732091994 ◽  
Author(s):  
Monica Pinilla-Roncancio ◽  
Sabina Alkire
Keyword(s):  
Low Income ◽  
People With Disabilities ◽  
Multidimensional Poverty ◽  
Low Income Countries ◽  
High Risk Population ◽  
Evidence Based ◽  
Poverty Index ◽  
Middle Income ◽  
Multidimensional Poverty Index ◽  
Middle Income Countries

People with disabilities and their families have been recognized as a high-risk population for poverty. Although the number of studies analyzing the levels of poverty of this group has increased, there is still a lack of empirical evidence that establishes whether and how people with disabilities are significantly poorer than families with no disabled members. This study analyses the levels of multidimensional poverty of people living in households with members with disabilities in 11 low- and middle-income countries in different regions of the world, using the global Multidimensional Poverty Index (MPI). The results reveal that in five of the 11 countries people living in households with disabled members face higher levels of multidimensional poverty compared with people without disabilities. In addition, we found that differences between the levels of poverty were larger in middle-income countries than in low-income countries, revealing the existence of a development disability gap.

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 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.

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