Pobres no Campo, Ricos na Cidade? Uma Análise Multidimensional da Pobreza
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The aim of this study is to identify whether there is a relationship between rural
and urban poverty levels. For this, it first earned the poverty line for both areas based
on the definition of multidimensional poverty, assuming therefore that the deficiencies
in health, income, education and housing are fundamental components for measurement
of deprivation. The approach to multidimensional poverty indicator was the fuzzy logic,
while the dependency analysis between the indicators was developed through the Copula
function. The data refer to urban and rural areas of the 5,565 Brazilian municipalities in
2010. On the one hand, it was found that those rural areas in greatest need are present in
the Northeast; on the other, in urban areas, the most worrying situation is the Southeast. Finally, the analysis of dependence between indicators suggests a negative correlation, indicating that when rural
poverty worsens, that related to urban area becomes milder.