Educação, Desigualdade e Desenvolvimento

Uma Análise dos Indicadores Sociais em Pernambuco

Authors

  • Jamerson Silva
  • Winicius Silva Universidade Federal de Pernambuco (UFPE), Programa de Pós-Graduação em Engenharia de Produção (PPGEP), Caruaru, Brasil
  • Thyago Nepomuceno
  • Jean Turet

Keywords:

Educação, Desenvolvimento Humano, Regressão Linear Múltipla, Indicadores Sociais, Pernambuco

Abstract

The study investigates how different social, economic, and educational indicators are related in the municipalities of Pernambuco, using multiple linear regression models. The variables analyzed include the Basic Education Development Index (IDEB), the Municipal Human Development Index for Education (IDHM-E), per capita GDP, violent crime rates, and life expectancy. The results showed that the IDHM-E plays a central role in these interactions, functioning both as an explanatory and as a response variable. In particular, its strong positive influence on per capita GDP (R² = 0.948) stood out, along with significant associations with life expectancy and IDEB. On the other hand, the models aimed at explaining violent crime rates showed low explanatory power, highlighting the complexity of this phenomenon. The conclusions reinforce the importance of public policies focused on basic education as a driver of social and economic transformation, while addressing urban violence requires broader and more integrated strategies.

References

Agência Estadual de Planejamento e Pesquisas de Pernambuco – CONDEPE/FIDEM, Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira, Instituto Brasileiro de Geografia e Estatística, & Secretaria de Educação e Esportes de Pernambuco. (2023). Base de Dados do Estado de Pernambuco (BDE). Recife, PE.

Aizer, A., & Currie, J. (2019). Lead and juvenile delinquency: New evidence from linked birth, school and juvenile detention records. Review of Economics and Statistics, 101(4), 575–587. https://doi.org/10.1162/rest_a_00814

Bastos, F. (2016). As desigualdades sociais e a infância. In G. G. Rodrigues & L. C. Copatti (Orgs.), Direitos humanos de crianças e adolescentes e políticas públicas (pp. 27–45). São Paulo: Contexto.

Bussab, W. O., & Morettin, P. A. (2017). Estatística básica (9. ed.). São Paulo: Saraiva Educação.

CAEDJUS. (2021). Políticas públicas em perspectiva (v. 2). Belo Horizonte: CAEDJUS. Disponível em: CONIPUB-2021-02-Politicas-publicas-em-perspectiva-vol-2.pdf

Carvalho, J., & Chima, F. O. (2020). A regression analysis of juvenile delinquency among African American females in foster care. Journal of Liberal Arts and Humanities, 1(5), 1–15.

Choi, J. (2022). Identifying important factors to prevent juvenile delinquency among male and female adolescents: An exploratory analysis using the LASSO regression algorithm in the Korean Children and Youth Panel Survey (KCYPS). Child Indicators Research, 15, 1429–1464. https://doi.org/10.1007/s12187-022-09916-6

De Moura, J. A., & Monteiro, M. B. (2024). From education to social justice: A regression examination of education and economic inequality effects on property crimes. Socioeconomic Analytics, 2(1), 94–106. https://doi.org/10.51359/2965-4661.2024.262687

Dietrich, K. N., et al. (2001). Early exposure to lead and juvenile delinquency. Neurotoxicology and Teratology, 23(6), 511–518.

Dira, H., & Subardjo, R. Y. S. (2025). Peer relationships and their impact on juvenile delinquency intensity: A cross-sectional study. Journal of Health Sciences and Medical Development, 4(2), 116–126. https://doi.org/10.56741/hesmed.v4i02.973

Instituto de Pesquisa Econômica Aplicada – IPEA. (2016). Atlas do Desenvolvimento Humano no Brasil. Brasília: IPEA.

Lima, R. S., Oliveira, L. M., & Almeida, J. P. (2024). Police patrols and the spatial distribution of homicides: An econometric analysis of simultaneous causality. Urban Science, 8(1), 132. https://doi.org/10.3390/urbansci8010132

Ribeiro, C. A. C., & Schlegel, R. (2015). A relação entre o Índice de Desenvolvimento Humano Municipal e o desempenho educacional no Brasil. Revista Brasileira de Educação, 20(61), 745–772.

Santos, M. J., & Kassouf, A. L. (2008). Estudos econômicos das causas da criminalidade no Brasil: Evidências e controvérsias. EconomiA, 9(2), 343–372.

Singh, K., Cheemalapati, S., Ramireddy, S. R., Kurian, G., Muzumdar, P., & Muley, A. (2025). Determinants of Human Development Index (HDI): A regression analysis of economic and social indicators. Asian Journal of Economics, Business and Accounting, 25(1), 26–34. https://doi.org/10.9734/ajeba/2025/v25i11630

Triola, M. F. (2020). Introdução à estatística (13. ed.). São Paulo: Pearson.

Vidal e Silva, S. M. C., Tuon, R. A., Probst, L. F., Gondinho, B. V. C., Pereira, A. C., Meneghim, M. C., & Cortellazzi, K. L., Ambrosano, G. M. B. (2018). Factors associated with preventable infant death: A multiple logistic regression. Revista de Saúde Pública, 52, 32. https://doi.org/10.11606/S1518-8787.2018052000252

Published

2026-08-03

Issue

Section

Research Papers (Artigos Completos WANDA 2025)