Modelling Sustainable Non-Renewable and Renewable Energy Based on the EKC Hypothesis for Africa�s Ten Most Popular Tourist Destinations
The main purpose of this study was to examine how tourism, GDP, renewable energy, and fossil fuels cause environmental damage. This study examined ten African countries between 1997 and 2021 to test the environmental Kuznets curve (EKC) theory. Egypt, South Africa, Kenya, Morocco, Tanzania, Tunisia,...
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my.uniten.dspace-342592024-10-14T11:18:41Z Modelling Sustainable Non-Renewable and Renewable Energy Based on the EKC Hypothesis for Africa�s Ten Most Popular Tourist Destinations Voumik L.C. Rahman M.H. Nafi S.M. Hossain M.A. Ridzuan A.R. Mohamed Yusoff N.Y. 58529725000 57223041870 57206666312 58139945000 57201919567 55812094300 carbon emission CCEMG EKC environment quantile regression renewable energy tourism in Africa tourist arrivals Egypt Ghana Kenya Mascarene Islands Mauritius Morocco Nigeria South Africa Tanzania Tunisia Uganda alternative energy carbon dioxide carbon emission Kuznets curve nonrenewable resource regression analysis sustainability tourist destination The main purpose of this study was to examine how tourism, GDP, renewable energy, and fossil fuels cause environmental damage. This study examined ten African countries between 1997 and 2021 to test the environmental Kuznets curve (EKC) theory. Egypt, South Africa, Kenya, Morocco, Tanzania, Tunisia, Mauritius, Ghana, Uganda, and Nigeria are the ten African countries with the most tourists. In this paper, the augmented mean group (AMG), mean group (MG), and common correlated effects mean group (CCEMG) models were used to deal with slope heterogeneity (SH), cross-sectional dependence (CSD), and a mix of first-differenced and level stationary variables. Though the inverted U-shaped exists, the findings are significant only for MG. The impact of renewable energy is favorable for the environment and significant for the AMG estimator. Inversely, impact of tourist arrivals and fossil fuels are detrimental for environment and significant. Based on the findings for each country, the tourism-based EKC theory only works for Kenya, Egypt, and Tanzania. The research found that using more renewable energy minimizes CO2 emissions more effectively in almost all countries except Morocco and Ghana. Ghana, Kenya, and Uganda�s CO2 emissions increase when more tourists come from other countries. For the sake of both tourism and the environment, the government must reconsider its tourism policies and implement ones that include renewable energy. The findings of this study assist in the transition to clean energy, aiding in sustainable tourism growth. As a result, selected countries should develop a new tourism plan that focuses on renewable energy sources and protects the environment. � 2023 by the authors. Final 2024-10-14T03:18:41Z 2024-10-14T03:18:41Z 2023 Article 10.3390/su15054029 2-s2.0-85149986925 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149986925&doi=10.3390%2fsu15054029&partnerID=40&md5=e92fad836ae1d11f274b4f28eac0873c https://irepository.uniten.edu.my/handle/123456789/34259 15 5 4029 All Open Access Gold Open Access MDPI Scopus |
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carbon emission CCEMG EKC environment quantile regression renewable energy tourism in Africa tourist arrivals Egypt Ghana Kenya Mascarene Islands Mauritius Morocco Nigeria South Africa Tanzania Tunisia Uganda alternative energy carbon dioxide carbon emission Kuznets curve nonrenewable resource regression analysis sustainability tourist destination |
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carbon emission CCEMG EKC environment quantile regression renewable energy tourism in Africa tourist arrivals Egypt Ghana Kenya Mascarene Islands Mauritius Morocco Nigeria South Africa Tanzania Tunisia Uganda alternative energy carbon dioxide carbon emission Kuznets curve nonrenewable resource regression analysis sustainability tourist destination Voumik L.C. Rahman M.H. Nafi S.M. Hossain M.A. Ridzuan A.R. Mohamed Yusoff N.Y. Modelling Sustainable Non-Renewable and Renewable Energy Based on the EKC Hypothesis for Africa�s Ten Most Popular Tourist Destinations |
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The main purpose of this study was to examine how tourism, GDP, renewable energy, and fossil fuels cause environmental damage. This study examined ten African countries between 1997 and 2021 to test the environmental Kuznets curve (EKC) theory. Egypt, South Africa, Kenya, Morocco, Tanzania, Tunisia, Mauritius, Ghana, Uganda, and Nigeria are the ten African countries with the most tourists. In this paper, the augmented mean group (AMG), mean group (MG), and common correlated effects mean group (CCEMG) models were used to deal with slope heterogeneity (SH), cross-sectional dependence (CSD), and a mix of first-differenced and level stationary variables. Though the inverted U-shaped exists, the findings are significant only for MG. The impact of renewable energy is favorable for the environment and significant for the AMG estimator. Inversely, impact of tourist arrivals and fossil fuels are detrimental for environment and significant. Based on the findings for each country, the tourism-based EKC theory only works for Kenya, Egypt, and Tanzania. The research found that using more renewable energy minimizes CO2 emissions more effectively in almost all countries except Morocco and Ghana. Ghana, Kenya, and Uganda�s CO2 emissions increase when more tourists come from other countries. For the sake of both tourism and the environment, the government must reconsider its tourism policies and implement ones that include renewable energy. The findings of this study assist in the transition to clean energy, aiding in sustainable tourism growth. As a result, selected countries should develop a new tourism plan that focuses on renewable energy sources and protects the environment. � 2023 by the authors. |
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58529725000 |
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58529725000 Voumik L.C. Rahman M.H. Nafi S.M. Hossain M.A. Ridzuan A.R. Mohamed Yusoff N.Y. |
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Article |
author |
Voumik L.C. Rahman M.H. Nafi S.M. Hossain M.A. Ridzuan A.R. Mohamed Yusoff N.Y. |
author_sort |
Voumik L.C. |
title |
Modelling Sustainable Non-Renewable and Renewable Energy Based on the EKC Hypothesis for Africa�s Ten Most Popular Tourist Destinations |
title_short |
Modelling Sustainable Non-Renewable and Renewable Energy Based on the EKC Hypothesis for Africa�s Ten Most Popular Tourist Destinations |
title_full |
Modelling Sustainable Non-Renewable and Renewable Energy Based on the EKC Hypothesis for Africa�s Ten Most Popular Tourist Destinations |
title_fullStr |
Modelling Sustainable Non-Renewable and Renewable Energy Based on the EKC Hypothesis for Africa�s Ten Most Popular Tourist Destinations |
title_full_unstemmed |
Modelling Sustainable Non-Renewable and Renewable Energy Based on the EKC Hypothesis for Africa�s Ten Most Popular Tourist Destinations |
title_sort |
modelling sustainable non-renewable and renewable energy based on the ekc hypothesis for africa�s ten most popular tourist destinations |
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MDPI |
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2024 |
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1814061173362917376 |
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13.214268 |