Labor market and crisis: an analysis of sectoral segmentation in Brazilian rural

Abstract

The article aims to analyze which factors contributed to the inequality across income distribution of Brazilian workers in rural areas, occupied in agricultural and non-agricultural activities. Quantile regression with sample selection bias correction and counterfactual decomposition of income by quantiles were applied, using the microdata from the National Continuous Household Survey (PNAD-C) for the years 2012 and 2019. The results showed that there is income inequality favorable to workers occupied in non-agricultural activities concerning agricultural activities, which is intensive for those with lower incomes, as well as for those with high incomes. The presence of sectorial segmentation was also confirmed, of which the largest portion in 2012 corresponds to the labor market duality. However in 2019, in lower quantiles the segmentation obtained greater explanatory power for the difference in income between the groups, while in higher quantiles the theory of human capital prevailed.

Aging, male dominance, and decline of agricultural workers in the Central‐West Brazilian labor market

“…After the year 2000, various studies have been directed to analysis of the agricultural EAP, notably Souza and Nascimento (2007), Bazotti et al (2009), Zanchet (2010), Laurenti (2013), Staduto et al (2013), Maia and Sakamoto (2014), Costa Junior and Bacha (2016), Balsadi and Del Grossi (2016), Telles et al (2017), Balsadi (2017), Balsadi and Del Grossi (2018), Telles et al (2019), Costa et al (2019), Balsadi et al (2019a), Balsadi et al (2019b), Estanislau et al (2021), and Mantovani et al (2021). Most of these studies were carried out based on the data of the National Household Sample Survey (Pesquisa Nacional por Amostra de Domicílios [PNAD]) and of the Census of Agriculture (Censo Agropecuário) or Population Census (Censo Demográfico) performed by the Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatística [IBGE]).…”