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School efficiency in low and middle income countries: An analysis based on PISA for development learning survey
Institution:1. Centre for International Education, University of Sussex, Brighton BN1 9QQ, UK;2. Universidad Nacional de Chilecito, Argentina;1. Centre for Educational and Social Studies, Mexico City, Mexico;2. The World Bank, 1818 H Street N.W., Washington DC 20433, USA;1. 167 Ferry Street, School of Social Work, University of Windsor, Windsor, Ontario, N9A0C5, Canada;2. University of Windsor, Ontario, Canada;1. Banco de la República, Bogotá, Colombia;2. Banco de la República, Cartagena, Colombia;3. Departamento Nacional de Planeación, Colombia;4. Ministerio de Educación Nacional, Colombia
Abstract:This study provides new evidence on school efficiency for low and middle income countries. We use data from PISA for Development (2017) for seven countries to obtain estimates on school efficiency using data envelopment analysis, both for cognitive and non-cognitive outputs, and their determinants. We find that there is a scope to increase efficiency by 20–22% via boosting both types of educational outputs and by reducing within-country disparity on schools’ efficiency scores by weakening the impact of students’ disadvantages. Our results suggest that schools cognitive inequality can be reduced alongside inefficiency. Cross-country results suggest similar drivers of efficiency across countries, at least for students’ school determinants, though we find more nuanced results on teachers and policies determinants for efficiency.
Keywords:Cross-country analysis  Low and middle-income countries  Data envelopment analysis  Efficiency  Equity  Policy analysis  PISA-D
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