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

Reagan Jean Jacques Molu, Wulfran Fendzi Mbasso, Serge Raoul Dzonde Naoussi, Saatong Tsobze Kenfack and Patrice Wira
Additional contact information
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.

International Journal of Energy Economics and Policy, 2022, vol. 12, issue 5, 55-60

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.

Keywords: Electricity; HDI; PSO; development (search for similar items in EconPapers)
JEL-codes: C61 H50 Q4 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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