Analysis of Factors Influencing Households’ Preference Level for Solar Energy in Urban Areas of Southwest Nigeria

<p>If Sustainable Development Goals (SDGs) seven of affordable and clean energy will be achieved, access to clean energy such as solar energy needs dedicated attention. The study assessed respondents’ perception of solar energy and identified factors influencing their preference level in urban...

Full description

Bibliographic Details
Main Authors: Olaniran Anthony Thompson, Babatunde Oluseyi Ajiboye, Akin Daniel Oluwamide, Olumide Ojo Oyenike
Format: Article
Language:English
Published: EconJournals 2021-04-01
Series:International Journal of Energy Economics and Policy
Online Access:https://econjournals.com/index.php/ijeep/article/view/10001
Description
Summary:<p>If Sustainable Development Goals (SDGs) seven of affordable and clean energy will be achieved, access to clean energy such as solar energy needs dedicated attention. The study assessed respondents’ perception of solar energy and identified factors influencing their preference level in urban areas of Southwest Nigeria. Data were obtained from four hundred and eighty (480) solar energy users and four hundred and eighty (480) non- solar energy users leading to total of nine hundred and sixty (960) respondents’ through a multi-stage sampling technique. Descriptive statistics, 5-likert scale type and tobit regression model were used to analyze the data collected. The respondents agreed that solar energy is the most appropriate source of energy compared to fossil fuel with mean score of 3.83. Price stability (0.83) attribute of solar energy is one of the reasons that makes it preferred by the respondent. A unit increase in household income will lead to 0.0879592 preference for solar energy in the study area. The study recommends that government at all levels should sensitize the households on the usage of solar energy in Nigeria to achieve the goal seven of SDGs.</p><p><strong>Keywords: </strong>Clean Energy, Solar Energy, Perception, Tobit Regression Model, Nigeria</p><p><strong>JEL Classifications: </strong>Q1, Q2, Q3 P28</p><p>DOI: <a href="https://doi.org/10.32479/ijeep.10001">https://doi.org/10.32479/ijeep.10001</a></p>
ISSN:2146-4553