Synergies Among Monetary, Multidimensional and Subjective Poverty: Evidence from Nepal

Mitra, Shabana

doi:10.1007/s11205-014-0831-3

Cited by 19 publications

(19 citation statements)

References 20 publications

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“…Due to data accessibility, our study period was limited to the period from 2005 to 2011 in Nepal. However, compared with the existing studies on Nepal poverty [4,19,22,23,[47][48][49][50][51][52][53][54][55][56][57][58][59], this study provided a contextual background on the overall trend of poverty change, the poverty concentration, the spatial change of UP (PI, PG and SPG), and the combination mode of UP-economic development along different dimensions and at district scales. This provided the opportunity to elucidate and consider potential drivers of development at a national scale.…”

Section: Discussionmentioning

confidence: 99%

“…Meanwhile, each dimension is empowered with equal weight in the calculation. To date, the MPI has been taken as a benchmark measure to inspect the aggregate poverty from developed countries [13,14] to developing countries [15][16][17] and the least developed countries [18,19], as well as from region scales [20,21] to local scales [22,23] around the world. With these extensive empirical analyses, the proposed policy implications not only illustrated how to evaluate the patterns and extent of multiple aspects of pro-poverty activities, but also identified subgroups with lagged dimensions of varied well-being attributes.…”

Section: Introductionmentioning

confidence: 99%

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Geographical Dynamics of Poverty in Nepal between 2005 and 2011: Where and How?

et al. 2018

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Poverty eradication is currently a central issue within the national economic development strategy in developing countries. Understanding the spatial changes and possible drivers of poverty from different geographical perspectives has the potential to provide a policy-relevant understanding of the trends in poverty. By district-level data, poverty incidence (PI), and a statistical analysis of the period from 2005 to 2011 in Nepal, we used the location quotient (LQ), as well as the Lorenz curve, to inspect the poverty concentration and the spatial-temporal variation of poverty in Nepal. As such, this study analyzed the change in identified typologies of poverty using an approach, which accounts for interregional and three identified terrain components. The PI methodological approach was applied in order to (i) compare the spatial change in poverty for Nepal during the study period from a geographical-administrative perspective and (ii) to develop Lorenze curves which show the change of poverty concentration over the study period. Within the Foster-Greer-Thorbecke (FGT) approach, PI was further used, in combination with the indices of poverty gap (PG) and squared poverty gap (SPG), in order to highlight the unidimensional poverty (UP), that is the incidence, depth, and severity of poverty between 2005 and 2011. Simultaneously, the spatial relationship between UP and economic development was assessed, leading to five specific economic modes or typologies of poverty. Our findings identified that proportional poverty appears to have grown in mountainous areas as well as more urbanized and developed regions, while the mid hill regions have steadily reduced proportions of poverty. We propose a hypothesis, for further examination, which suggests that the increase in proportional poverty in the mountain regions is as a result of the migration to the urban areas of Nepal of the relatively less poor, leaving behind a trapped poorer population. This migration to urban areas of the relatively less poor, rather counterintuitively, produced an increase in proportional poverty in the urban areas. This is due to the fact that while this population represents the wealthier mountain communities, they are still relatively poor in an urban setting.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Geographical Dynamics of Poverty in Nepal between 2005 and 2011: Where and How?

et al. 2018

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“…Mitra built a multi-dimensional poverty measurement model at the village level and used the index contribution index and linear regression method to discuss the poverty factors. He also used the least square error (LSE) model and spatial econometric analysis model to identify the types and differences of rural poverty [12]. Therefore, scholars all over the world have also started to construct a poverty index to study poverty, and most of the studies reflect the poverty situation from a multi-dimensional perspective.…”

Section: Literature Reviewmentioning

confidence: 99%

Poverty Measure Based on Hesitant Fuzzy Decision Algorithm under Social Network Media

Suwei

Sun

2020

Symmetry

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This study aims to solve the problem that the traditional method of measuring the poverty level in rural and urban areas of China from a purely monetary perspective can’t comprehensively analyze and reflect the poverty. In this study, a multidimensional poverty measurement model with non-monetary indicators is proposed, the data of families and their members provided by the China Health and Nutrition Survey (CHNS) of a certain year’s health and nutrition survey in China are used for analysis, and a fuzzy set method is adopted to analyze the poverty situation in various regions of China. First, the fuzzy function set method is used to calculate the one-dimensional poverty index. On the basis of income, the multi-dimensional poverty fuzzy index is calculated from five dimensions, including education, health, assets, and living standard. The calculation results of the single-dimensional poverty and the multi-dimensional poverty are compared to further analyze the reasons of the family poverty of rural residents. Second, the poverty rate of each dimension in each region is calculated by referring to the appropriate measurement indexes of each dimension of the message passing interface (MPI) team. The results show that the concept of measuring poverty by the fuzzy set method is more sensitive to the overall distribution of population in the poverty dimension than the poverty line method. Compared with the poverty line method, the fuzzy set method can better consider the overall distribution of population in poverty dimension. Accordingly, China should strengthen the infrastructure construction in rural areas, increase the investment in education in rural areas, and improve the overall quality of the poor population.

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“…We provide a theoretical background and the evidence of multidimensional poverty measures used in previous studies below. Then, we describe data, our proposed method and its advantage over the existing method, indicators of alternative dimensions, and the difference in the procedure used to estimate the multidimensional poverty in this study as compared with other studies in the context of Nepal CBS, 2013;Mitra, 2016;NHDR, 2014;Uematsu et al, 2016).…”

Section: Background and Rationalementioning

confidence: 99%

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

et al. 2019

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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.

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Synergies Among Monetary, Multidimensional and Subjective Poverty: Evidence from Nepal

Cited by 19 publications

References 20 publications

Geographical Dynamics of Poverty in Nepal between 2005 and 2011: Where and How?

Geographical Dynamics of Poverty in Nepal between 2005 and 2011: Where and How?

Poverty Measure Based on Hesitant Fuzzy Decision Algorithm under Social Network Media

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

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