Modelling Aggregate Energy Consumption for Growth in Nigeria


Abstract views: 223 / PDF downloads: 216

Authors

  • Ahmed Oluwatobi Adekunle Department of Accounting Science, Walter Sisulu University, South Africa.
  • Biliqees Ayoola Abdulmumin Department of Finance, University of Ilorin, Nigeria
  • Joseph Olorunfemi Akande Department of Accounting Science, Walter Sisulu University, South Africa
  • Kehinde Gabriel Ajose Department of Accounting Science, McPherson University, Nigeria,

DOI:

https://doi.org/10.32479/ijeep.13829

Keywords:

Aggregate Energy, Growth, ARDL

Abstract

The principal aims of this study is to modelled the connection of Aggregate energy consumption for growth in Nigeria. Annual time series data is used, ranging from 1985-2020. The study employed ARDL, Toda and Yamamoto approach in examining connection between the variables. The ARDL results with additional stability test shows that short and long run connection exists among the examined variables. The Toda and Yamamoto test reveals unidirectional causalities running among the variables. Furthermore, change in GDP stimulate further consumption of energy in Nigeria.

Downloads

Download data is not yet available.

Downloads

Published

2022-11-28

How to Cite

Adekunle, A. O., Abdulmumin, B. A., Akande, J. O., & Ajose, K. G. (2022). Modelling Aggregate Energy Consumption for Growth in Nigeria. International Journal of Energy Economics and Policy, 12(6), 389–395. https://doi.org/10.32479/ijeep.13829

Issue

Vol. 12 No. 6 (2022)

Section

Articles

License

Submission of an article implies that the work described has not been published previously , that it is not under consideration for publication elsewhere, that its publication is approved by all authors and tacitly or explicitly by the responsible authorities where the work was carried out, and that, if accepted, will not be published elsewhere in the same form, without the written consent of the Publisher. The Editors reserve the right to edit or otherwise alter all contributions, but authors will receive proofs for approval before publication.

Most read articles by the same author(s)