Preprint / Version 1

Impacts of Environmental Variables on School Efficiencies: A Two-Stage DEA Analysis for the State Public School Network of Espírito Santo in 2023

##article.authors##

  • Guilherme Armando de Almeida Pereira Federal University of Espírito Santo image/svg+xml https://orcid.org/0000-0002-2833-1384
    • Conceptualization
    • Data Curation
    • Formal Analysis
    • Investigation
    • Software
    • Writing – Original Draft Preparation
    • Methodology
  • Kiara de Deus Demura Instituto Jones dos Santos Neves https://orcid.org/0000-0001-9783-0892
    • Conceptualization
    • Funding Acquisition
    • Project Administration
    • Supervision
    • Methodology
    • Writing – Review & Editing
  • Antonio Ricardo Freislebem da Rocha Instituto Jones dos Santos Neves https://orcid.org/0000-0002-5725-0364
    • Writing – Review & Editing
  • Darlan Báfica Gois Secretaria de Estado da Educação do Espírito Santo https://orcid.org/0009-0006-0730-085X
    • Writing – Review & Editing
    • Resources

DOI:

https://doi.org/10.1590/SciELOPreprints.17948

Keywords:

two-stage DEA, school efficiency, paebes questionnaires, INEP indicators

Abstract

This study analyzes the efficiency of state schools in Espírito Santo, Brazil, in 2023, using two-stage Data Envelopment Analysis (DEA) to evaluate how factors exogenous to school control are correlated with efficiency levels. The results indicate that schools with higher socioeconomic levels, more stable teaching staff, family background, and safe school environments tend to be more efficient, whereas teacher overload is associated with higher inefficiency. The questionnaire-based variables further highlight the roles of student engagement, family support and perceived school violence. These findings provide relevant evidence for education policies aimed at improving school efficiency.

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Submitted

09/04/2026

Posted

09/24/2026

How to Cite

Impacts of Environmental Variables on School Efficiencies: A Two-Stage DEA Analysis for the State Public School Network of Espírito Santo in 2023. (2026). In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.17948

Section

Applied Social Sciences

Funding data

Plaudit

Data statement

  • The research data cannot be made publicly available

    • Os dados são de propriedade da Secretaria de Estado da Educação do Espírito Santo.