Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Forecasting Nigeria's energy use by 2030, an econometric approach
Date
2016-01-01
Author
Asumadu-Sarkodie, Samuel
Owusu, Phebe Asantewaa
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
213
views
0
downloads
Cite This
The study examines the causal nexus between energy use, environmental pollution, GDP per capita, and urbanization in order to forecast Nigeria's energy use by 2030. Employing a time-series data spanning from 1971 to 2012, a linear regression analysis is used to examine the causal relationship among the study variables and subsequently forecasted Nigeria's energy use with the ARIMA and ETS models. Evidence from the study shows that a 1% increase in energy use increases carbon dioxide emissions by 3%, while a 1% increase in economic growth increases carbon dioxide emissions by 0.18%. Evidence from both the ARIMA and ETS models shows an increase of energy use from 795 kg per oil equivalent per capita in 2012 to 915 kg per oil equivalent per capita in 2030.
Subject Keywords
Fuel Technology
,
Energy Engineering and Power Technology
,
General Chemical Engineering
URI
https://hdl.handle.net/11511/64618
Journal
ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY
DOI
https://doi.org/10.1080/15567249.2016.1217287
Collections
Economics and Administrative Sciences, Article
Suggestions
OpenMETU
Core
The relationship between carbon dioxide emissions, electricity production and consumption in Ghana
Asumadu-Sarkodie, Samuel; Owusu, Phebe Asantewaa (Informa UK Limited, 2017-01-01)
The study investigated the relationship between carbon dioxide, electricity production, and consumption in Ghana using the autoregressive distributed lag model by employing a time-series data spanning from 1971 to 2012. Evidence from the long-run elasticities shows that a 1% increase in the total energy production from combustible renewables and waste will increase carbon dioxide emissions by 307.9 kt in the long run. In contrast, a 1% increase in the total energy production with electricity production from...
The causal effect of carbon dioxide emissions, electricity consumption, economic growth, and industrialization in Sierra Leone
Asumadu-Sarkodie, Samuel; Owusu, Phebe Asantewaa (Informa UK Limited, 2017-01-01)
The study investigated the causal effect of carbon dioxide emissions, electricity consumption, economic growth, and industrialization in Sierra Leone from 1980-2011 by employing the linear regression and the vector error correction models. Evidence from both models show a long-run equilibrium relationship between carbon dioxide emissions, electricity consumption, economic growth, and industrialization in Sierra Leone. Evidence from the variance decomposition shows that 7% of future shock in carbon dioxide e...
A multivariate analysis of carbon dioxide emissions, electricity consumption, economic growth, financial development, industrialization, and urbanization in Senegal
Asumadu-Sarkodie, Samuel; Owusu, Phebe Asantewaa (Informa UK Limited, 2017-01-01)
In this study, a multivariate analysis of carbon dioxide emissions, electricity consumption, economic growth, financial development, industrialization, and urbanization was performed in Senegal using the nonlinear iterative partial least squares (NIPALS) regression during the period 1980-2011. There was evidence of a linear relationship between the variables using the linear regression analysis. However, the explanatory variables exhibited a strong collinearity, which led to using the NIPALS regression anal...
The potential and economic viability of solar photovoltaic power in Ghana
Asumadu-Sarkodie, Samuel; Owusu, Phebe Asantewaa (Informa UK Limited, 2016-01-01)
In this study, the potentiality and economic viability of solar photovoltaic (PV) in Ghana was assessed using RETScreen software. 5 MW of grid-connected solar PV power system using SunPower SPR-320E-WHT-D PV module can be harnessed from Navrongo, Bawku, Wa, Tema, Bolgatanga, Axim, Salaga, Kintampo, Kete Krachi, Tamale, Hohoe, Koforidua, Ejura, Takoradi, Bole, Sunyani, Bibiani, Cape coast, Prestea, and Akuse, which requires US$17,752,179 of investment capital and 25,313 m(2) of land for PV installation. The ...
Artificial neural network modeling for forecasting gas consumption
Gorucu, FB; Geris, PU; Gumrah, F (Informa UK Limited, 2004-02-01)
This study includes an approach to evaluate and forecast gas consumption by Artificial Neural Network (ANN) modeling for the capital city of Ankara, Turkey. ANN models have been trained to perform complex functions in various fields of application including the forecasting process. The process of the study is examining the factors affecting the output and training the ANNs to decide the optimum parameters to be used in forecasting the gas consumption for the remaining days of 2002 and the year 2005. During ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Asumadu-Sarkodie and P. A. Owusu, “Forecasting Nigeria’s energy use by 2030, an econometric approach,”
ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY
, pp. 990–997, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/64618.