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Improved governance of Indian school system through school consolidation

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  • Bhatnagar, Abhishek
  • Bolia, Nomesh B.

Abstract

Formal education is provided in schools that should be accessible to citizens, facilitating them to reach the schools with ease, safety and without travelling too large a distance. The requirement of accessibility, however, brings into consideration the corresponding cost and resource utilization. There exists a vast school network in India, with many schools established under the Sarva Shiksha Abhiyan program. However, the existence of too many schools, mostly low in enrolment, is creating problems in terms of quality of teaching and infrastructural facilities offered by these schools. This trade-off between large size schools having good infrastructure and conducive ecosystem, and many small schools deprived of it, can be addressed by appropriate school consolidation. The current study presents a mathematical programming model for school consolidation that aims to minimize the total disruption and transfer the students to an alternative school considering the school network. The model is then applied to a case for a district in the Indian state of Karnataka. Various scenario runs have been done to come out with the appropriate policy parameters for the given district and the results are highly encouraging. The model and analysis can be replicated as well as customized according to the needs of different states.

Suggested Citation

  • Bhatnagar, Abhishek & Bolia, Nomesh B., 2019. "Improved governance of Indian school system through school consolidation," Journal of Policy Modeling, Elsevier, vol. 41(6), pages 1160-1178.
    • Handle: RePEc:eee:jpolmo:v:41:y:2019:i:6:p:1160-1178
    DOI: 10.1016/j.jpolmod.2019.05.001
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    Cited by:

    1. Fan, Wen & Liang, Yu, 2020. "The impact of school autonomy and education marketization in the United Kingdom," Journal of Policy Modeling, Elsevier, vol. 42(5), pages 1038-1048.
    2. Suman, Hemant K. & Bolia, Nomesh B., 2019. "Improvement in direct bus services through route planning," Transport Policy, Elsevier, vol. 81(C), pages 263-274.
    3. Yuanyuan Zhu & John Aloysius Zinda & Qin Liu & Yukuan Wang & Bin Fu & Ming Li, 2023. "Accessibility of Primary Schools in Rural Areas and the Impact of Topography: A Case Study in Nanjiang County, China," Land, MDPI, vol. 12(6), pages 1-18, May.
    4. Lakshay, & Bolia, Nomesh B., 2020. "Robust scheduling for large scale evacuation planning," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    5. Bhatnagar, Abhishek & Jaiswal, Animesh & Jain, Ansh & Bolia, Nomesh B., 2022. "An analysis of key indicators for enhancing school performance: Evidences from India," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    6. Abhishek Bhatnagar & Nomesh B. Bolia, 2023. "A sustainable decision‐making framework for school consolidation policy," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(5), pages 1037-1063, June.
    7. Gupta, Maansi & Bolia, Nomesh B., 2020. "Efficiency measurement of Indian high courts using DEA: A policy perspective," Journal of Policy Modeling, Elsevier, vol. 42(6), pages 1372-1393.

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    More about this item

    Keywords

    Education; Access; Optimization; Relocation; School consolidation;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • R53 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Public Facility Location Analysis; Public Investment and Capital Stock

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