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Investigating the Dependency between Electricity and the Human Development Based on Metaheuristic Optimization

Author

Listed:
  • Reagan Jean Jacques Molu

    (Laboratory of Technology and Applied Sciences, University Institute of Technology, University of Douala, PO Box: 8698 Douala, Cameroon,)

  • Wulfran Fendzi Mbasso

    (Laboratory of Technological and Applied Sciences (LTAS), University Institute of Technology, University of Douala, PO Box: 8698 Douala, Cameroon)

  • Serge Raoul Dzonde Naoussi

    (Laboratory of Technological and Applied Sciences (LTAS), University Institute of Technology, University of Douala, PO Box: 8698 Douala, Cameroon)

  • Saatong Tsobze Kenfack

    (Laboratory of Technological and Applied Sciences (LTAS), University Institute of Technology, University of Douala, PO Box: 8698 Douala, Cameroon)

  • Patrice Wira

    (IRIMAS Laboratory, University of Haute Alsace, 61 Rue Albert Camus, Mulhouse, 68200 France.)

Abstract

Having access to electricity is one of the big challenges nowadays. It is a basic requirement for any community as it can improve the living standards characterized via the improvement of healthcare, education, and the local economy at large. Henceforth, electricity plays a major role in the economic and social development in many countries. The United Nations are working to ensure an easy access to safe energy technologies as from 2030. To cope with this point of view, this paper aims to use the relation between electricity and the Human Development Index (HDI) in order to predict the value of HDI in a short term. In this relation, two parameters x and y are used to study the dependency between the HDI and electricity consumption and production conjointly. To fulfill our goal, the values of electricity production, electricity consumption and HDI for a period are used into our optimization technique namely Particle Swarm Optimization (PSO). The best values of our parameters x and y are obtained under different scenarios based on three criteria: number of iterations, population, and limit of convergence. The results obtained after simulations leads to the value of HDI of about 0.68 in 2030, with 100 iterations, 100 populations and 0.05 as limit of convergence. The predicted value obtained is closed of the theoretical value presented into the Electricity Sector Development Plan. Thus, this helps to appreciate the impact of energy on the social and economic development of Cameroon.

Suggested Citation

  • Reagan Jean Jacques Molu & Wulfran Fendzi Mbasso & Serge Raoul Dzonde Naoussi & Saatong Tsobze Kenfack & Patrice Wira, 2022. "Investigating the Dependency between Electricity and the Human Development Based on Metaheuristic Optimization," International Journal of Energy Economics and Policy, Econjournals, vol. 12(5), pages 55-60, September.
    • Handle: RePEc:eco:journ2:2022-05-7
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    Cited by:

    1. Muhumuza Ezra Rubanda & Livingstone Senyonga & Mohammed Ngoma & Muyiwa S. Adaramola, 2022. "Electricity Trading in Energy Market Integration: A Theoretical Review," Energies, MDPI, vol. 16(1), pages 1-31, December.
    2. Rahaman, Mohammad Mijanur & Islam, Md. Monirul & Polbitsyn, Sergei Nikolaevich & Abbas, Shujaat, 2024. "The electrification-social development nexus in Bangladesh: Do governmental policies matter?," Utilities Policy, Elsevier, vol. 86(C).

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    More about this item

    Keywords

    Electricity; HDI; PSO; development;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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