Skip to content
Research Article Open access CC BY 3.0

Estimating Household Willingness to Pay for Improved Electricity Supply in Lagos Metropolis

G. K. Babawale, A. O. Awosanya

Journal of Economics, Management and Trade · pp. 672–693 · Published 14 Jan 2014

10.9734/BJEMT/2014/5396

Abstract

Nigeria’s per capita electricity consumption is one of the lowest in Africa; with the residential sector being the worst hit. The supply from the state owned Power Holding Company of Nigeria (PHCN) is often erratic forcing most households to resort to the use of generators with its attendance noise and air pollution besides other adverse consequences. The study employed non-market valuation techniques (conjoint analysis, contingent method, and multivariate analysis) to assess the Willingness-to-pay for improved electricity supply using two housing estates within Lagos metropolis as case study. The study reveals the attributes of electricity supply services that give the highest utility, and also the Willingness-to-pay bids of the residents of the two estates. These results were combined and tested for sustainability based on the current cost of generating and maintaining electricity by wind turbines which is considered as one of the most cost-effective options available. Simple ‘payback’ analysis shows that the very low Willingness-to-pay bids of the residents of the two estates would barely support completely deregulated private sector participation. By implication, electricity supply to the estates under reference (including similar and estates of inferior socio-economic characteristics in the metropolis) would continue to be provided by the state-owned Power Holding Company of Nigeria (PHCN) at the existing subsidized rates.

Conjoint analysis contingent method power supply sustainability willingness-to-pay

Cited by 1

Willingness to pay for green electricity derived from renewable energy sources in Nigeria

T.R. Ayodele, A.S.O. Ogunjuyigbe, O.D. Ajayi · Renewable and Sustainable Energy Reviews · 2021

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

1

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.