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Causality Between Access to Electricity and Education - Evidence From BRICS Countries

Author

Listed:
  • Vaseem Akram

    (Economics & Business Environment, Indian Institute of Management Jammu, India)

Abstract

This study unveils whether access to electricity (ACSEL) causes the education of pupils (EDUPS) across BRICS countries for the period 1993–2018. Granger and Dumitrescu–Hurlin panel causality tests are applied, and their results show that ACSEL causes EDUPS. Further, the Granger results indicate that ACSEL causes EDUPS for only Brazil and China. The findings suggest providing greater access to electricity for the further improvement of education in India, Russia, and South Africa.

Suggested Citation

  • Vaseem Akram, 2022. "Causality Between Access to Electricity and Education - Evidence From BRICS Countries," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 3(2), pages 1-6.
    • Handle: RePEc:ayb:jrnerl:59
    DOI: 2022/06/17
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    References listed on IDEAS

    as
    1. Gunther Bensch & Jochen Kluve & Jörg Peters, 2011. "Impacts of rural electrification in Rwanda," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 3(4), pages 567-588, December.
    2. Dang, Duc Anh & La, Hai Anh, 2019. "Does electricity reliability matter? Evidence from rural Viet Nam," Energy Policy, Elsevier, vol. 131(C), pages 399-409.
    3. Ahmad, Sohail & Mathai, Manu V. & Parayil, Govindan, 2014. "Household electricity access, availability and human well-being: Evidence from India," Energy Policy, Elsevier, vol. 69(C), pages 308-315.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Access to electricity; Education; Causality;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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