scholarly journals An assessment of multidimensional urban poverty in Vietnam central cities

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Nguyen Huu Dung ◽  
Nguyen Van Cuong
Keyword(s):  
Urban Poverty ◽  
Multidimensional Poverty ◽  
Well Being ◽  
Poverty Measurement ◽  
Living Standard ◽  
State Budget ◽  
Central Cities ◽  
Five Dimensions ◽  
Section Data ◽  
High Deprivation

Cross section data from the Vietnam Household Living Standard Survey 2008 (VHLSS2008) was used to estimate multidimensional poverty in five urban central cities (Ha Noi, Hai Phong, Da Nang, Ho Chi Minh, and Can Tho) in Viet Nam following the methodology developed by Alkire & Santos (2010). Five dimensions of poverty were considered in the study including education, health, standard of living, economic well-being, and employment labor. The findings show that multidimensional poverty is significantly high in central cities, especially in Ho Chi Minh City. The multidimensional poor suffer from the high deprivation intensity of indicators as type of dwelling, underemployment, housing space, and working time. Moreover, five urban central cities present non-depreciable level of deprivation in electricity. Under-employment deprivation significantly increases its contribution as it receives a higher weight in the estimation. The study highlights the potential application of the methodology for national poverty measurement at multidimensional level as well as a tool for state budget allocation.

Re-examining Multidimensional Poverty in Pakistan: A New Assessment of Regional Variations

2019 ◽  
pp. 097215091984441 ◽  
Author(s):  
Hummera Saleem ◽  
Malik Shahzad Shabbir ◽  
Bilal Khan
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Multidimensional Poverty ◽  
Well Being ◽  
Living Standard ◽  
Rural And Urban Areas ◽  
Standard Management ◽  
Rural And Urban ◽  
Global Standards ◽  
Statistical Survey

The objective of this study is to investigate the multidimensional poverty (MDPT) level in the rural and urban areas of Pakistan. This study further adhered three essential factors such as education, health and living standard of people. It is observed that most of the studies have conducted and adhered regarding monetary poverty. The data have been obtained from the ‘Pakistan Social and Living Standard Management’ (PSLM) statistical survey. The finding of this analysis shows that, during all periods, MDPT in Pakistan remained significantly more in rural areas compared to urban regions. This empirical analysis provides an integrating technique adopting MDPT to overcome the socio-economic issues, which rapidly upsurge in Pakistan. Furthermore, it is a fundamental obligation of the state to provide sustainable and millennium development necessities of life such as food, health, water and education to meet the global standards of well-being of their people.

scholarly journals Urban poverty: Measurement theory and evidence from American cities

2021 ◽  
Author(s):  
Francesco Andreoli ◽  
Mauro Mussini ◽  
Vincenzo Prete ◽  
Claudio Zoli
Keyword(s):  
Urban Poverty ◽  
Measurement Theory ◽  
Well Being ◽  
Poverty Measurement ◽  
Spatial Effects ◽  
High Poverty ◽  
Poverty Index ◽  
High Poverty Neighborhood ◽  
New Evidence ◽  
American Cities

AbstractWe characterize axiomatically a new index of urban poverty that i) captures aspects of the incidence and distribution of poverty across neighborhoods of a city, ii) is related to the Gini index and iii) is consistent with empirical evidence that living in a high poverty neighborhood is detrimental for many dimensions of residents’ well-being. Widely adopted measures of urban poverty, such as the concentrated poverty index, may violate some of the desirable properties we outline. Furthermore, we show that changes of urban poverty within the same city are additively decomposable into the contribution of demographic, convergence, re-ranking and spatial effects. We collect new evidence of heterogeneous patterns and trends of urban poverty across American metro areas over the last 35 years.

scholarly journals Measurement of Living Standards Deprivation in Punjab Using AF Method (Periodical Comparison Approach)

2015 ◽  
Vol 54 (4I-II) ◽  
pp. 739-763 ◽  
Author(s):  
Muhammad Afzal ◽  
Shamim Rafique ◽  
Farhan Hameed
Keyword(s):  
Multidimensional Poverty ◽  
Well Being ◽  
Poverty Measurement ◽  
Living Standards ◽  
Or Education ◽  
Conventional View ◽  
The Poor ◽  
The People ◽  
The Government ◽  
The Individual

In spite of taking and implementing various special measures by the government of Punjab and the Pakistan to alleviate poverty in Punjab, poverty is still there and has become a constraint in the way of economic progress and prosperity of the people of the Punjab-Pakistan. Poverty is pronounced deprivation in well-being. The conventional view links well-being primarily to command over commodities, so the poor are those who do not have enough income or consumption to put them above some adequate minimum threshold. The broadest approach to well-being and hence poverty focuses on the capability of the individual to properly function in the society. The poor lack key capabilities, and may have inadequate income or education, and last but not the least living standards. How we measure poverty can importantly influence how we come to understand it, how we analyse it, and how we create policies to influence it. In recent years, the literature on multidimensional poverty measurement has blossomed in a number of different directions. The 1997 Human Development Report vividly introduced poverty as a multidimensional phenomenon, and the Millennium Declaration and Millennium Development Goals (MDGs) have highlighted multiple dimensions of poverty since 2000.

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.

scholarly journals Evaluating the Impacts of Smallholder Farmer’s Participation in Modern Agricultural Value Chain Tactics for Facilitating Poverty Alleviation—A Case Study of Kiwifruit Industry in Shaanxi, China

Agriculture ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 462
Author(s):  
Hongyu Wang ◽  
Xiaolei Wang ◽  
Apurbo Sarkar ◽  
Lu Qian
Keyword(s):  
Value Chain ◽  
Rural Areas ◽  
Poverty Alleviation ◽  
Poverty Reduction ◽  
Smallholder Farmers ◽  
Multidimensional Poverty ◽  
Well Being ◽  
Reduction Degree ◽  
Poverty Level ◽  
Storage Technology

Market-based initiatives like agriculture value chain (AVC) are becoming progressively pervasive to support smallholder rural farmers and assist them in entering larger market interventions and providing a pathway of enhancing their socioeconomic well-being. Moreover, it may also foster staggering effects towards the post-era poverty alleviation in rural areas and possessed a significant theoretical and practical influence for modern agricultural development. The prime objective of the study is to explore the effects of smallholder farmers’ participation in the agricultural value chain for availing rural development and poverty alleviation. Specifically, we have crafted the assessment employing pre-production (improved fertilizers usage), in-production (modern preservation technology), and post-production (supply chain) participation and interventions of smallholder farmers. The empirical data has been collected from a micro survey dataset of 623 kiwifruit farmers from July to September in Shaanxi, China. We have employed propensity score matching (PSM), probit, and OLS models to explore the multidimensional poverty reduction impact and heterogeneity of farmers’ participation in the agricultural value chain. The results show that the total number of poor farmers who have experienced one-dimensional and two-dimensional poverty is relatively high (66.3%). We also find that farmers’ participation in agricultural value chain activities has a significant poverty reduction effect. The multidimensional poverty level of farmers using improved fertilizer, organizational acquisition, and using storage technology (compared with non-participating farmers) decreased by 30.1%, 46.5%, and 25.0%, respectively. The multidimensional poverty reduction degree of male farmers using improved fertilizer and participating in the organizational acquisition is greater than that of women. The multidimensional poverty reduction degree of female farmers using storage and fresh-keeping technology has a greater impact than the males using storage and improved storage technology. Government should widely promote the value chain in the form of pre-harvest, production, and post-harvest technology. The public–private partnership should also be strengthened for availing innovative technologies and infrastructure development.

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 Contrasting Monetary and Multidimensional Poverty Measures in a Low-Income Sub-Saharan African Country

2020 ◽  
Vol 151 (2) ◽  
pp. 547-574 ◽  
Author(s):  
Lukas Salecker ◽  
Anar K. Ahmadov ◽  
Leyla Karimli
Keyword(s):  
Risk Factors ◽  
Low Income ◽  
Multidimensional Poverty ◽  
Poverty Measurement ◽  
Sub Saharan Africa ◽  
Analytical Strategy ◽  
Poverty Risk ◽  
Two Measures ◽  
Sub Saharan ◽  
Over Time

AbstractDespite significant progress in poverty measurement, few studies have undertaken an in-depth comparison of monetary and multidimensional measures in the context of low-income countries and fewer still in Sub-Saharan Africa. Yet the differences can be particularly consequential in these settings. We address this gap by applying a distinct analytical strategy to the case of Rwanda. Using data from two waves of the Rwandan Integrated Household Living Conditions Survey, we combine comparing poverty rates cross-sectionally and over time, examining the overlaps and differences in the two measures, investigating poverty rates within population sub-groups, and estimating several statistical models to assess the differences between the two measures in identifying poverty risk factors. We find that using a monetary measure alone does not capture high incidence of multidimensional poverty in both waves, that it is possible to be multidimensional poor without being monetary poor, and that using a monetary measure alone overlooks significant change in multidimensional poverty over time. The two measures also differ in which poverty risk factors they put emphasis on. Relying only on monetary measures in low-income sub-Saharan Africa can send inaccurate signals to policymakers regarding the optimal design of social policies as well as monitoring their effectiveness.

DECISION STRATEGY CONCEPT TO IMPROVE ECONOMIC CONDITIONS OF RURAL HOUSEHOLDS

2020 ◽  
Vol 10 (4) ◽  
pp. 699-711
Author(s):  
M.A. Volokhova ◽  
Keyword(s):  
Decision Making ◽  
Rural Population ◽  
Methodological Approach ◽  
Rural Households ◽  
Well Being ◽  
Economic Situation ◽  
Living Standard ◽  
Rural Settlements ◽  
Decision Strategy ◽  
Saratov Region

Modern conditions for the development of market relations leave a significant imprint on all main aspects of rural life. The socio-economic situation of rural households is dangerously dependent on the fluctuations of various institutions, be it the labor institution, the food market or the production system. Under these conditions, increasing attention is being paid to the development of targeted programs to improve the living standard and the socio-economic situation of the population in rural settlements. The article discusses a methodological approach to assess the living standards of rural settlements in the context of municipal districts of the Saratov region, in particular, the Samoilovsky municipality. Basing on the participatory approach, categories of the rural population are determined by income level and a direct correlation dependence of the demographic situation (birth rate, mortality, migration rate) and the level of rural household income are revealed. The parameters of the resource of patience and the boundaries of the passive expectation for the poor and impoverished layers of the rural population, as well as the prerequisites for the passivity of the able-bodied population to participate in the processes of increasing their own well-being and well-being of others are determined. The conditions and parameters of the property status compelling the activation of the use of internal material and social sources of income are revealed. Three levels of decision-making strategies for improving the financial situation of the family are distinguished: employees, employers (agricultural enterprises and K(F)X), authorities (district administration). As a result, a concept of a decision-making strategy was developed to improve the material situation of households in rural settlements of the Saratov region. The economic factor (the size of wages) has one of the decisive effects on all the demographic processes taking place in society.

Impact of socio and demographic factors on multidimensional poverty profile of smallholder arable crop farmers – evidence from Nigeria

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raheem Olatunji Aminu ◽  
Wei Si ◽  
Shakirat Bolatito Ibrahim ◽  
Aisha Olushola Arowolo ◽  
Adefunke Fadilat O. Ayinde
Keyword(s):  
Demographic Factors ◽  
Multidimensional Poverty ◽  
Household Size ◽  
Living Standard ◽  
Average Intensity ◽  
Content Type ◽  
Crop Farming ◽  
Arable Crop ◽  
The Impact ◽  
Farming Households

PurposeThis paper evaluates the impact of socio and demographic factors on the multidimensional poverty of smallholder arable crop farming households in Nigeria.Design/methodology/approachData were drawn from the second wave of the LSMS-Integrated Surveys on Agriculture General Household Survey Panel 2012/2013. The methods adopted in analysing the data were descriptive statistics, Alkire and Foster Method (AFM) and logit regression model.FindingsThe result shows that 84.34% of the households were headed by a male while 80.26% of the respondents were married with a mean household size of seven persons. The multidimensional poverty of arable crop farm households in Nigeria is 0.60, while the adjusted headcount ratio (MPI) is 0.27, with an average intensity of 0.45. We found that deprivation in the dimension of living standard accounted for 45.5% of the overall multidimensional poverty index (MPI). The result of the logistic regression indicates that household location, gender, household size and non-farm income are negatively correlated to poverty. The factors that increase poverty among households are the age of the household head and access to extension services.Originality/valueThe study presents an alternative means of assessing poverty among smallholder arable crop farming households in Nigeria. This study recommends that policymakers should focus more on improving the living standard of arable crop farming households to reduce poverty in rural areas. Similarly, concerted efforts should be made towards providing adequate health care and improved sanitation, supply of electricity and educational training that goes beyond primary education for farming household members.

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