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Measuring public primary education productivity across Mexican states using a Hicks-Moorsteen index

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  • Diana Becerra-Peña
  • Daniel Santin

Abstract

Despite the importance of analysing how an educational system works across regions, there is a lack of research benchmarking regions’ performance over time. The aim of this research is to measure total factor productivity changes (TFPC) in the primary education sector across 30 Mexican states over eight academic years from 2006–07 to 2013–14. To do this, we calculate the Hicks-Moorsteen total factor productivity index (HMTFP) using information on third-grade primary education students attending publicly funded schools. We also explore the main environmental factors behind these differences in productivity. Estimates for the analysed period show an average positive TFPC of 1.91%, driven by technological progress. We also find a significant positive effect on productivity when the policy party governing at the federal and the state levels coincide. The paper concludes by pointing out the need to use school-level data to monitor and evaluate the education systems as an indispensable element for delivering efficient and effective public administration services to citizens.

Suggested Citation

  • Diana Becerra-Peña & Daniel Santin, 2021. "Measuring public primary education productivity across Mexican states using a Hicks-Moorsteen index," Applied Economics, Taylor & Francis Journals, vol. 53(8), pages 924-939, February.
  • Handle: RePEc:taf:applec:v:53:y:2021:i:8:p:924-939
    DOI: 10.1080/00036846.2020.1819951
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    Cited by:

    1. Arnaud Abad & Michell Arias & Paola Ravelojaona, 2023. "Environmental Productivity Assessment: an Illustration with the Ecuadorian Oil Industry," Working Papers hal-03574542, HAL.
    2. Arnaud Abad & Michell Arias & Paola Ravelojaona, 2023. "Environmental Productivity Assessment: an Illustration with the Ecuadorian Oil Industry," Post-Print hal-03574542, HAL.
    3. Chen, Xiaoqing & Liu, Xinwang & Zhu, Qingyuan, 2022. "Comparative analysis of total factor productivity in China's high-tech industries," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

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