Editorial: Towards 2030: sustainable development goal 1: no poverty. A sociological perspective [PDF]
Frontiers in SociologyThis Research Topic focuses on the first Sustainable Development Goal (SDG) by the UN, which aims to "end poverty in all its forms everywhere." Progress toward this goal is evaluated through various targets and indicators.
Andrzej Klimczuk +2 more
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, 2021 The concept of poverty evolved over time. It encompasses not only low income and consumption but also low achievement in various non-income dimensions including education, health, nutrition, and other areas of human development.
UN.ESCAP +5 more
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Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis [PDF]
Heliyon, Volume 9, Issue 5, 2023, e15947, 2022 Poverty is one of the fundamental issues that mankind faces. To solve poverty issues, one needs to know how severe the issue is. The Multidimensional Poverty Index (MPI) is a well-known approach that is used to measure a degree of poverty issues in a given area.
arxiv +1 more source
Determinan Kemiskinan Multidimensional 34 Provinsi di Indonesia Periode Tahun 2015-2018 [PDF]
, 2023 Poverty is faced by almost all countries in the world. Poverty is the inability of a person to meet basic needs. In calculating the SDGs poverty is placed in a multidimensional framework, namely looking at poverty from various dimensions and looking at ...
Intan, Amartya, Murwiati, Asih, Wayan, I
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Design, poverty and sustainable development [PDF]
, 2006 Design in a poor context, or for the alleviation of poverty, has received little or no attention. An informal discourse analysis shows that design and poverty have not been linked, the two being seen as mutually exclusive.
Angharad Thomas, Thomas Angharad
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High-Resolution Poverty Maps in Sub-Saharan Africa [PDF]
World Development 159 (2022): 106028, 2020 Up-to-date poverty maps are an important tool for policy makers, but until now, have been prohibitively expensive to produce. We propose a generalizable prediction methodology to produce poverty maps at the village level using geospatial data and machine learning algorithms.
arxiv +1 more source
Spatial autocorrelation and the dynamics of the mean center of COVID-19 infections in Lebanon [PDF]
Front. Appl. Math. Stat., 13 (2021), 2020 In this paper we study the spatial spread of the COVID-19 infection in Lebanon. We inspect the spreading of the daily new infections across the 26 administrative districts of the country, and implement Moran's $I$ statistics in order to analyze the tempo-spatial clustering of the infection in relation to various variables parameterized by adjacency ...
arxiv +1 more source
Government Spending and Money Supply Roles in Alleviating Poverty in Africa [PDF]
arXiv, 2022 This study examines the roles of government spending and money supply on alleviating poverty in Africa. The study used 48 Sub-Saharan Africa countries from 2001 to 2017. The study employed one step and two-step system GMM and found that both the procedures have similar results.
arxiv
Small area estimation of general parameters with application to poverty indicators: A hierarchical Bayes approach [PDF]
Annals of Applied Statistics 2014, Vol. 8, No. 2, 852-885, 2014 Poverty maps are used to aid important political decisions such as allocation of development funds by governments and international organizations. Those decisions should be based on the most accurate poverty figures. However, often reliable poverty figures are not available at fine geographical levels or for particular risk population subgroups due to ...
arxiv +1 more source
Trends in Child Poverty by Race/Ethnicity: New Evidence Using an Anchored Historical Supplemental Poverty Measure [PDF]
, 2016 Official poverty statistics have been criticized, however, for being based on an outdated measure of poverty (Blank, 2008; Citro and Michael, 1995). First put into use in the 1960s, the official poverty measure’s (OPM) concept of needs has been updated ...
Garfinkel, Irwin +5 more
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