Household electricity consumption determinants in major Nigeria cities
Bibliographic Data
| ID | 22187994 |
|---|---|
| Authors | Obinna Ubani (0000-0003-0396-254X, University of Nigeria), Chinwe Sam-Amobi (0000-0002-0574-9315, University of Nigeria), Emeka Mba (University of Nigeria), Egbenta Idu (University of Nigeria), Emmanuel Ezeama (University of Nigeria), Peter I Oforji (University of Nigeria) |
| Year | 2024 |
| Volume | 8 |
| Issue | 3 |
| Pages | 2895 |
| Publication date | 2024-01-16 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Infrastructure Policy and Development (JOURNAL) |
| Journal identifiers | ISSN: 2572-7923 • E-ISSN: 2572-7931 |
| Publisher | EnPress Publisher (PUBLISHER) |
| DOI | 10.24294/jipd.v8i3.2895 |
| OpenAlex | W4390914439 |
| Language | EN |
| References cited | 5 |
The increasing epileptic electricity supply, mainly in the residential areas of Nigerian cities, has been linked to the incorrect knowledge of the numerous socio-economic and physical indices that influence household electricity usage. Most of the seemingly identified explanatory factors were done at macro level which does not give a clear estimate of this electricity demand. The thrust of the study is to analyse empirically the household electricity determinants in Nigerian cities with a view to evolving a more informed and sustainable energy policy decision. Multistage area cluster sampling method was adopted in the study where 769 copies of structured questionnaire were distributed to electricity users of prepaid meters in five major Nigerian cities. The research hypothesis was tested using the multiple linear regression statistical tool. The result revealed that nine variables which include age (r = 0.05, p-value: 0.05), household income (r = 0.00, p-value: 0.05), number of hours that people stay outside the house (r = 0.043, p-value: 0.05), number of teenagers at home, (r = 0.006, p-value: 0.01) number of electrical appliances (r = 0.016, p-value: 0.01), type of house (r = 0.012, p-value: 0.01), hours that the electrical appliances are used (r = 0.043, p-value: 0.05), weather condition, (r = 0.011, p-value: 0.05) and the location of the building (r = 0.045, p-value: 0.05) were significant in determining the household electricity consumption. Policies based on the findings will give energy and urban planners an empirical basis for accurate and robust forecasting of the determinants that influence household electricity consumption in Nigeria that is devoid of any speculation or unfounded predictions
Agricultural economics · Business · Economics · Electricity · Environmental economics · Mains electricity · Regression analysis · Socioeconomics · Sociology · Statistics · Energy and Environment Impacts · Energy, Environment, and Transportation Policies · Engineering · Mathematics
| Highly cited | No |
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