The Impact Assessment of Energy, Agriculture, and Socioeconomic Indicators on Carbon Dioxide Emissions in Ghana

Samuel Asumadu-Sarkodie; Phebe Asantewaa Owusu; Yung-Tse Hung

doi:10.1142/9789811207136_0005

The Impact Assessment of Energy, Agriculture, and Socioeconomic Indicators on Carbon Dioxide Emissions in Ghana

Samuel Asumadu-Sarkodie, Phebe Asantewaa Owusu, Yung-Tse Hung

Nord University

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Climate change has gained global attention in the past few decades due to its impact on humanity. This chapter examines the impact assessment of energy, agriculture, and socioeconomic indicators on carbon dioxide emissions in Ghana using a multivariate analysis (neural network and nonlinear iterative partial least squares regression). Topics covered include drivers of greenhouse gas emissions, Ghana’s climate change profile, flood risk assessment in Ghana, climate change and finance, projected change indicators and bibliometric analysis of climate change research in Ghana.

Original language	American English
Title of host publication	Handbook of Environment and Waste Management - Volume 3: Acid Rain and Greenhouse Gas Pollution Control
DOIs	https://doi.org/10.1142/9789811207136_0005
State	Published - May 19 2020

Keywords

Climate Change and Fianance
Ghana
Bibliometric Analysis
Econometrics
Neural Network
NIPALS
Greenhouse Gas Emissions
Flood Risk Assessment in Ghana
Carbon Dioxide Emissions
Biophysical Vulnerability

Disciplines

Civil and Environmental Engineering

Access to Document

10.1142/9789811207136_0005License: CC BY

https://doi.org/10.1142/9789811207136_0005

Cite this

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title = "The Impact Assessment of Energy, Agriculture, and Socioeconomic Indicators on Carbon Dioxide Emissions in Ghana",

abstract = " Climate change has gained global attention in the past few decades due to its impact on humanity. This chapter examines the impact assessment of energy, agriculture, and socioeconomic indicators on carbon dioxide emissions in Ghana using a multivariate analysis (neural network and nonlinear iterative partial least squares regression). Topics covered include drivers of greenhouse gas emissions, Ghana{\textquoteright}s climate change profile, flood risk assessment in Ghana, climate change and finance, projected change indicators and bibliometric analysis of climate change research in Ghana.",

keywords = "Climate Change and Fianance, Ghana, Bibliometric Analysis, Econometrics, Neural Network, NIPALS, Greenhouse Gas Emissions, Flood Risk Assessment in Ghana, Carbon Dioxide Emissions, Biophysical Vulnerability",

author = "Samuel Asumadu-Sarkodie and \{Asantewaa Owusu\}, Phebe and Yung-Tse Hung",

note = "Asumadu-Sarkodie, S., Owusu, P. A., Hung, Y.-T. (2020). The Impact Assessment of Energy, Agriculture, and Socioeconomic Indicators on Carbon Dioxide Emissions in Ghana. In HANDBOOK OF ENVIRONMENT AND WASTE MANAGEMENT: Acid Rain and Greenhouse Gas Pollution Control (pp. 137-201), May 2020.",

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month = may,

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doi = "10.1142/9789811207136\_0005",

language = "American English",

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AU - Asantewaa Owusu, Phebe

AU - Hung, Yung-Tse

N1 - Asumadu-Sarkodie, S., Owusu, P. A., Hung, Y.-T. (2020). The Impact Assessment of Energy, Agriculture, and Socioeconomic Indicators on Carbon Dioxide Emissions in Ghana. In HANDBOOK OF ENVIRONMENT AND WASTE MANAGEMENT: Acid Rain and Greenhouse Gas Pollution Control (pp. 137-201), May 2020.

PY - 2020/5/19

Y1 - 2020/5/19

N2 - Climate change has gained global attention in the past few decades due to its impact on humanity. This chapter examines the impact assessment of energy, agriculture, and socioeconomic indicators on carbon dioxide emissions in Ghana using a multivariate analysis (neural network and nonlinear iterative partial least squares regression). Topics covered include drivers of greenhouse gas emissions, Ghana’s climate change profile, flood risk assessment in Ghana, climate change and finance, projected change indicators and bibliometric analysis of climate change research in Ghana.

AB - Climate change has gained global attention in the past few decades due to its impact on humanity. This chapter examines the impact assessment of energy, agriculture, and socioeconomic indicators on carbon dioxide emissions in Ghana using a multivariate analysis (neural network and nonlinear iterative partial least squares regression). Topics covered include drivers of greenhouse gas emissions, Ghana’s climate change profile, flood risk assessment in Ghana, climate change and finance, projected change indicators and bibliometric analysis of climate change research in Ghana.

KW - Climate Change and Fianance

KW - Ghana

KW - Bibliometric Analysis

KW - Econometrics

KW - Neural Network

KW - NIPALS

KW - Greenhouse Gas Emissions

KW - Flood Risk Assessment in Ghana

KW - Carbon Dioxide Emissions

KW - Biophysical Vulnerability

UR - https://engagedscholarship.csuohio.edu/encee_facpub/404

UR - https://doi.org/10.1142/9789811207136_0005

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DO - 10.1142/9789811207136_0005

M3 - Chapter

BT - Handbook of Environment and Waste Management - Volume 3: Acid Rain and Greenhouse Gas Pollution Control

ER -

The Impact Assessment of Energy, Agriculture, and Socioeconomic Indicators on Carbon Dioxide Emissions in Ghana

Abstract

Keywords

Disciplines

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