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Evidence of supply security and sustainability challenges in Nigeria's power sector

Cosimo Magazzino (), Carlo Drago and Nicolas Schneider

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: The increasing mismatch between the demand and supply of power in Nigeria raises concerns about the ability of this country to meet its vital energy security and sustainability targets in a demography-growing environment. This paper assesses how these three factors comove over the long run. While Nigeria provides an illustrative case, a multivariate framework including population dynamics, the demand for electricity, and CO2 emissions from the power and heating sector is set with actual time-series data spanning the last five decades. Two independent estimation strategies are conducted: a time-series analysis (i.e., Least Squares with breaks regression) is complemented with Machine Learning experiments (i.e., ML Clustering method). In general, both methodologies’ outputs stress the engine role of the population in driving the demand for power over the long run.

Keywords: CO2 emissions; electricity; energy security; machine Learning; population; sustainability; time series (search for similar items in EconPapers)
JEL-codes: J01 R14 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2023-06-01
New Economics Papers: this item is included in nep-ene and nep-env
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Published in Utilities Policy, 1, June, 2023, 82. ISSN: 0957-1787

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