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      Pobreza multidimensional no Brasil, 1991, 2000 e 2010: uma abordagem espacial para os municípios brasileiros Translated title: Multidimensional poverty in Brazil, 1991, 2000 and 2010: a spatial approach for brazilian municipalities

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          Abstract

          Resumo O presente estudo analisa a distribuição espacial da pobreza multidimensional nos municípios brasileiros considerando as Áreas Minimamente Comparáveis (AMC) e sua convergência nos anos de 1991, 2000 e 2010. Para isso, foi construído um Índice de Pobreza Multidimensional (IPM), realizada a análise exploratória de dados espaciais (AEDE) e, para verificar a convergência da pobreza multidimensional, utilizou-se a abordagem de econometria espacial. Os resultados indicaram que condições de habitação e demografia foram as dimensões que mais contribuíram para a pobreza multidimensional, e as dimensões de saúde e saneamento e renda são as que mais contribuíram para a redução da pobreza multidimensional. O estudo também apontou que o Brasil apresentou convergência absoluta e clubes de convergência da pobreza multidimensional, especialmente de 2000 para 2010. Além disso, as dimensões trabalho e condições de habitação foram as que mais contribuíram para a convergência da pobreza multidimensional.

          Translated abstract

          Abstract The aim of the present study was to analyze the spatial distribution of multidimensional poverty in Brazilian municipalities considering the Minimally Comparable Areas (AMC) and its convergence in the years 1991, 2000 and 2010. For this purpose, a Multidimensional Poverty Index (MPI) the exploratory analysis of spatial data was performed and the spatial econometric approach was used to verify the convergence of multidimensional poverty. The results indicated that housing conditions and demography were the dimensions that contributed most to multidimensional poverty, and the dimensions of health and sanitation and income contributed most to the reduction of multidimensional poverty. The study also pointed out that Brazil showed absolute convergence and multidimensional poverty convergence clubs, especially from 2000 to 2010. In addition, the dimensions of work and housing conditions have contributed most to the convergence of multidimensional poverty.

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          Counting and multidimensional poverty measurement

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            Poverty: An Ordinal Approach to Measurement

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              A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model

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                Author and article information

                Journal
                neco
                Nova Economia
                Nova econ.
                Nova Economia (Belo Horizonte, MG, Brazil )
                0103-6351
                1980-5381
                December 2021
                : 31
                : 3
                : 869-898
                Affiliations
                [1] Maringá Paraná orgnameUniversidade Estadual de Maringá Brazil marcos-brambilla@ 123456hotmail.com
                Article
                S0103-63512021000300869 S0103-6351(21)03100300869
                10.1590/0103-6351/6196
                7cf24fa6-261a-469b-b308-6a505e11edfa

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 06 May 2020
                : 15 March 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 57, Pages: 30
                Product

                SciELO Brazil

                Categories
                Artigos

                econometria espacial,multidimensional poverty,convergence,spatial econometrics,pobreza multidimensional,convergência

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