ABSTRACT This article aims to investigate the impact of the Brazilian economy's deindustrialization process on the determinants of poverty probability among household heads between 2012 and 2023, as estimated by the logistic regression model (logit). The main contribution of this research lies in the joint analysis of structuralist, neo-Schumpeterian approaches, and poverty determinants, conducted through an investigation of the impact of changes in the productive structure – measured by their reflections on the occupational structure, disaggregated into 12 sectors – on the probability of poverty among Brazilian household heads. The main findings reveal the heterogeneous impact of the different sectors on individuals’ chances of poverty and highlight that the deindustrialization of the Brazilian economy led to a decrease in the contribution of industrial segments, particularly the manufacturing industry (key sector for growth), in the reducing the chances of poverty. Furthermore, the article emphasizes that overcoming poverty involves a multidimensional State policy that combats color and gender discrimination, expands the formalization of the labor market, and reindustrializes the economy, increasing the participation of the most dynamic segments (positive structural change), which contribute to reducing the chances of poverty by providing better opportunities to enter the labor market.
KEYWORDS:
Productive structure; Poverty; Industry; Employment; Logit model