Author
Abstract
The problem of unreliable electricity supply is a barrier to good quality of life and economic productivity. Therefore, this study examines the drivers of residential consumers' willingness to pay (WTP) for improved electricity supply and the average monetary value they can accommodate on their current tariff for 70 percent improvement. The study used a 2022 contingent valuation household survey of 215 samples in Ekiti State, Nigeria. The analysis adopts a logistic regression to determine the drivers of household WTP for the improved electricity supply using a combination of socioeconomic characteristics, electricity supply profile, and maximum tariff bid. Household characteristics such as education, household size, income, expenditure on backup generator fuel, and bid are the likely determinants of WTP for reliable electricity supply. The derivation of mean WTP from the logistic estimation shows that the residential consumers could pay N164.81/kWh (~US$ 0.37/ kWh) for a 70 percent improved electricity supply. The mean willingness to pay represents an extra N108.93kWh (~U$0.25/kWh) over the current tariff and an increment of about 194.94 percent per kilowatt of electricity. The higher premium is acceptable by 85 percent of the households surveyed. These findings provide evidence about the WTP for reliable electricity supply and its determination, which is vital for policy direction on future tariff setting in Nigeria. The study recommends that the electricity sector regulator stipulate a minimum investment requirement for improved electricity supply.
Suggested Citation
Olanrele, Iyabo, 2024.
"Willingness to Pay for Reliable Electricity Supply in Nigeria: Evidence from Residential Consumers,"
African Journal of Economic Review, African Journal of Economic Review, vol. 13(1).
Handle:
RePEc:ags:afjecr:362937
DOI: 10.22004/ag.econ.362937
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:afjecr:362937. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://www.ajol.info/index.php/ajer/index .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.