Abstract
This study analyzes the socio-occupational distribution in the Paraíba Valley and North Coast Metropolitan Region (in Portuguese: Região Metropolitana do Vale do Paraíba e Litoral Norte – RMVPLN) Subregion 4 using spatial microsimulation techniques. To fulfill the proposed objective, the Iterative Proportional Fitting (IPF) technique was used to obtain spatial microdata in the territorial census tracts unit through the 2010 Brazilian Demographic Census. After the Skater regionalization technique was applied, eight homogeneous socio-occupational groups were found. Overall, the proposed socio-occupational categories, studied at an intra-urban scale, allowed for highlighting the social structure on a subregion of the newest Metropolitan space in the São Paulo state. Although this is a preliminary study, it is already capable to identify inequalities degrees that consistently spatially segregate and the less privileged population socioeconomic groups.
Highlights
According to Quadros and Maia (2010), discussions on social policies in Brazil are largely dominated by studies that focus on identifying poverty and classifying the population according to income ranges
To help to understand the society’s relation complexity in Subregion 4 of the Paraíba Valley and North Coast Metropolitan Region, this paper proposes to analyze the sociooccupational structure distribution and composition
It can be noticed that the Cruzeiro municipality has the largest population and Gross domestic product (GDP) compared to the rest of the municipalities
Summary
According to Quadros and Maia (2010), discussions on social policies in Brazil are largely dominated by studies that focus on identifying poverty and classifying the population according to income ranges. In order to be an option for stratifying the population according to their income, the literature proposes typologies with comprehensive concepts, which approximate the society class behavior (QUADROS; MAIA, 2010). Identifying the society's socio-occupational structure enriches social analyzes related to migration, mobility, consumption, exclusion, inequality, health, among others (QUADROS; MAIA, 2010; RIBEIRO; LAGO, 2000). The analyzes are supported by a proposal to stratify Brazilian society based on the job occupations of the labor market structure used by the Brazilian Institute of Geography and Statistics - IBGE (2010)
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