Environmental justice in focus: an analysis of climate events affecting the population of the Caatinga (2010–2022)
Caatinga; climate disasters; environmental justice; socioeconomic vulnerability; panel data.
This research examines how climate events namely droughts, dry spells, waterlogging, floods, and flash floods affect income, labor, education, and health indicators in municipalities of the Caatinga biome, comparing the years 2010 and 2022. The study draws on secondary socioeconomic data from the Demographic Censuses of the Brazilian Institute of Geography and Statistics (IBGE), the National Institute for Educational Studies and Research "Anísio Teixeira" (INEP), the Department of Information and Informatics of the Brazilian Unified Health System (DATASUS), the Food and Nutrition Surveillance System (SISVAN), and disaster records from the Integrated Disaster Information System (S2ID), classified according to the Brazilian Disaster Classification (COBRADE), for a sample of 1,076 municipalities within the biome. The methodology employs a panel data model with unobserved effects, whose structure Pooled OLS, Fixed Effects, or Random Effects is determined individually for each dependent variable through a sequential protocol of specification tests (Chow and Hausman tests). For most indicators, the Fixed Effects model, estimated via first differences, was adopted, with the exception of infant mortality, which was estimated using Random Effects. The dependent variables are organized into three thematic blocks: income and labor (poverty and extreme poverty, the employment-to-population ratio, and the unemployment rate), education (school dropout rates and average number of students per class), and health (total fertility rate and infant mortality), controlling for municipal population size, fiscal indicators, and water infrastructure. The research is grounded in the theoretical framework of environmental and climate justice, according to which social and institutional processes shape socio-environmental vulnerability and distribute it unequally across territories and social groups, seeking to investigate how the population of the Caatinga is affected by these climate events. The findings reveal asymmetries in climate impacts according to municipal population size and fiscal capacity, providing empirical evidence to support the formulation of public policies aimed at reducing socio-environmental vulnerability and promoting sustainable human development in the region.