Multidimensional poverty in Brazil

Evidences for Rural and Urban Areas

Bibliographic Data

ID4993255
AuthorsGustavo Carvalho Marcelino (0000-0002-1334-1774, Universidade Estadual de Maringá, corresponding author), Marina Silva Da Cunha (0000-0001-9122-3944, Universidade Estadual de Maringá)
Year2024
Volume62
Issue1
Publication date2024-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRevista de Economia e Sociologia Rural (JOURNAL)
Journal identifiersISSN: 0103-2003 • E-ISSN: 1806-9479
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/1806-9479.2022.266430en
OpenAlexW4378376140
LanguageEN
Citations received1
References cited26

This paper studied the behavior of multidimensional and income poverty, as well as its determinants in Brazil, in addition to rural and urban areas, based on information from the 2019 National Continuous Household Sample Survey (PNADC). The Alkire-Foster methodology was used in the construction of a Multidimensional Poverty Index (MPI), in addition to the logit model to estimate the impacts of determinants related to household characteristics on poverty. The health and sanitation dimension was the one that contributed the most to the MPI, followed by the education and housing dimensions. Unidimensional poverty was greater than multidimensional and rural poverty was also greater. Among the determinants of poverty, being in households with non-white heads, younger, unmarried, unemployed, less educated and in the North and Northeast regions increased the chances of poverty. In addition, while female heads reduced the chances of multidimensional poverty, it increased the chances of the unidimensional one

Demographic economics · Dimension (graph theory) · Econometrics · Economic growth · Economics · Geography · Index (typography) · Logit · Political science · Poverty · Rural area · Sample (material) · Sanitation · Socioeconomics · Fiscal Policy and Economic Growth · Food Security and Health in Diverse Populations · Income, Poverty, and Inequality

Tools

Open DOIOpen Access