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Determinants of Electricity Demand in Nigeria: A Non-Linear Autoregressive Distributed Lag (NARDL) Analysis

Author

Listed:
  • Najeem O. Bashiru

    (Department of Economics & Actuarial Sciences, Crescent University, Abeokuta Ogun State, Nigeria)

  • Sulaimon A. Lawal

    (Centre for Petroleum Energy Economics & Law, CPEEL, University of Ibadan, Ibadan Oyo State Nigeria)

  • Muideen A. Isiaka

    (Department of Economics & Actuarial Sciences, Crescent University, Abeokuta Ogun State, Nigeria)

Abstract

The study empirically identifies determinants of electricity demand in Nigeria while taking into account their long run effects on the nation. Secondary data covering a time frame of thirty eight (38) years (1980- 2018) were used in the study. In order to investigate the asymmetric and nonlinear long-term effects of determinants of electricity demand on its consumption, the study adopts the multivariate nonlinear ARDL method propounded by Shin et al. (2014). Results show that negative shock in the average price of electricity leads to increased electricity demand however; positive shock does not decrease electricity demand either. A percentage increase in Electricity Access causes electricity demand to rise by 3.4% while its reduction causes electricity demand to reduce by 6.26%. A percentage increase in power supply enhances electricity demand to rise by more than hundred percent, while its reduction causes electricity demand to drop. At 5% level of significance Wald test confirms that positive and negative shocks among the variables are not the same in the long run. Also the series never experienced structural break. The study recommends tenacious government effort towards improving electricity supply and access rate beyond the current rate (56.5%.), rather than influencing tariff that is being charged.

Suggested Citation

  • Najeem O. Bashiru & Sulaimon A. Lawal & Muideen A. Isiaka, 2024. "Determinants of Electricity Demand in Nigeria: A Non-Linear Autoregressive Distributed Lag (NARDL) Analysis," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(4), pages 767-783, April.
  • Handle: RePEc:bjc:journl:v:11:y:2024:i:4:p:767-783
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    References listed on IDEAS

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    1. Hosier, Richard H. & Dowd, Jeffrey, 1987. "Household fuel choice in Zimbabwe : An empirical test of the energy ladder hypothesis," Resources and Energy, Elsevier, vol. 9(4), pages 347-361, December.
    2. Akihiro Otsuka, 2015. "Demand for industrial and commercial electricity: evidence from Japan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-11, December.
    3. Heltberg, Rasmus, 2005. "Factors determining household fuel choice in Guatemala," Environment and Development Economics, Cambridge University Press, vol. 10(3), pages 337-361, June.
    4. Kayode Olaniyan & Benjamin C. McLellan & Seiichi Ogata & Tetsuo Tezuka, 2018. "Estimating Residential Electricity Consumption in Nigeria to Support Energy Transitions," Sustainability, MDPI, vol. 10(5), pages 1-22, May.
    5. Masera, Omar R. & Saatkamp, Barbara D. & Kammen, Daniel M., 2000. "From Linear Fuel Switching to Multiple Cooking Strategies: A Critique and Alternative to the Energy Ladder Model," World Development, Elsevier, vol. 28(12), pages 2083-2103, December.
    6. Joseph Mawejje & Dorothy N. Mawejje, 2016. "Electricity consumption and sectoral output in Uganda: an empirical investigation," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-16, December.
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