Banca de QUALIFICAÇÃO: RISLENE KÁTIA RAMOS ARAÚJO DE SOUSA

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : RISLENE KÁTIA RAMOS ARAÚJO DE SOUSA
DATE: 14/02/2025
TIME: 14:00
LOCAL: Videoconferência via Gerência de Redes do CCET/UFRN
TITLE:

RURAL RETIREMENT AND ITS SOCIOECONOMIC RELEVANCE IN THE NORTHERN SEMIARID REGION: AN ANALYSIS USING 2010 CENSUS DATA  

KEY WORDS:

 Rural Retirement; Semi-Arid North; Rural Areas; Quality of Life.      

PAGES: 92
BIG AREA: Ciências Sociais Aplicadas
AREA: Demografia
SUBÁREA: Política Pública e População
SUMMARY:

Rural retirement is a social security benefit granted to rural workers classified as special insured individuals, such as family farmers, artisanal fishers, and rubber tappers, according to Law No. 8,213/1991. This benefit, paid at the value of the minimum wage, requires a minimum age of 60 for men and 55 for women, in addition to proof of 15 years of rural activity as the primary source of income. In the Semi-Arid region, rural retirement plays a crucial role in household income composition, especially in the Semi-Arid North (SS), a sub-region characterized by a dry and semi-arid climate, located in the Northeast, north of the São Francisco River. The SS comprises 937 municipalities distributed across seven northeastern states: Maranhão, Piauí, Ceará, Rio Grande do Norte, Paraíba, Pernambuco, and Alagoas. Since the 2000s, the region has experienced development combined with industrialization and targeted public policies. However, challenges such as prolonged droughts, economic crises, and the COVID-19 pandemic have exacerbated local vulnerabilities. This study aims to analyze the socioeconomic configuration of rural families in the Semi-Arid North in 2010, emphasizing the role of rural retirement, using microdata from the 2010 Demographic Census. The variable V0656, which identifies the existence of habitual monthly income from retirement or pension from an official institute, is used as a proxy for the benefit. The analysis focuses on rural areas of the sub-region and retirees residing in these households. Two methods are employed: Moran's Index and Logistic Regression. Moran's Index, a statistical measure used to detect spatial autocorrelation patterns, aims to identify inequalities and regional patterns, highlighting how rural retirement may influence access to goods and services in different areas of the SS. Logistic Regression, a statistical technique to model relationships between dependent and independent variables, is used to identify the isolated impact of the benefit on aspects such as housing adequacy, access to durable goods, and poverty reduction. Preliminary results indicate that in 2022, the Semi-Arid North represented 35.67% of the northeastern population, with 73.21% of municipalities having fewer than 20,000 inhabitants. In 2010, 15.98% of respondents reported receiving rural retirement, while 84.02% did not. The states of Rio Grande do Norte, Paraíba, Ceará, and Pernambuco showed higher concentrations of beneficiary households. Finally, despite being considered a social security benefit, rural retirement assumes welfare characteristics due to its importance in mitigating vulnerabilities and promoting equity in the Semi-Arid North, especially in areas affected by climatic and economic adversities, contributing to family sustainability and regional development.

COMMITTEE MEMBERS:
Presidente - 1225734 - JORDANA CRISTINA DE JESUS
Externa à Instituição - LORENA LIMA DE MORAES - UFRPE
Externo à Instituição - PAMILA CRISTINA LIMA SIVIERO - UNIFESP
Interno - 1880578 - RICARDO OJIMA