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
A multivariate analysis of carbon dioxide emissions, electricity consumption, economic growth, financial development, industrialization, and urbanization in Senegal
Date
2017-01-01
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
232
views
0
downloads
Cite This
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 analysis. Evidence from the standardized regression coefficient shows that a 1% increase in financial development, electricity consumption, and industrialization will increase carbon dioxide emissions by 0.7%, 0.4%, and 0.1%, respectively, while a 1% increase in urbanization and economic growth will decrease carbon dioxide emissions by 0.2% and 0.1%, respectively.
Subject Keywords
Fuel Technology
,
Energy Engineering and Power Technology
,
General Chemical Engineering
URI
https://hdl.handle.net/11511/64908
Journal
ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY
DOI
https://doi.org/10.1080/15567249.2016.1227886
Collections
Engineering, Article
Suggestions
OpenMETU
Core
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...
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...
Forecasting Nigeria's energy use by 2030, an econometric approach
Asumadu-Sarkodie, Samuel; Owusu, Phebe Asantewaa (Informa UK Limited, 2016-01-01)
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...
A stochastic approach in reserve estimation
Kök, Mustafa Verşan (Informa UK Limited, 2006-12-01)
Geostatistics and more especially stochastic modeling of reservoir heterogeneities are being increasingly considered by reservoir analysts and engineers for their potential in generating more accurate reservoir models together with usable measures of spatial uncertainty. Geostatistics provides a probabilistic framework and a toolbox for data analysis with an early integration of information. The uncertainty about the spatial distribution of critical reservoir parameters is modeled and transferred all the wa...
A study on the effects of catalysts on pyrolysis and combustion characteristics of Turkish lignite in oxy-fuel conditions
ABBASI-ATIBEH, Ehsan; Yozgatlıgil, Ahmet (Elsevier BV, 2014-01-01)
The catalytic pyrolysis and combustion characteristics of low calorific value Turkish lignite in various ambient conditions were explored and the evolution of gases during pyrolysis tests was examined using a Thermogravimetric Analyzer coupled with a Fourier Transform Infrared spectrometer (TGA-FTIR). Potassium carbonate (K2CO3), calcium hydroxide (Ca(OH)(2)) and iron (III) oxide (Fe2O3) were employed as precursors of the catalysts and compared to the Raw-form (no catalyst added) to investigate the effects ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Asumadu-Sarkodie and P. A. Owusu, “A multivariate analysis of carbon dioxide emissions, electricity consumption, economic growth, financial development, industrialization, and urbanization in Senegal,”
ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY
, pp. 77–84, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/64908.