Investigating the Influence of Tourism, GDP, Renewable Energy, and Electricity Consumption on Carbon Emissions in Low-Income Countries
Due to a rapidly growing population and economy, an increase in emissions from urban growth, industrial growth, and energy use hurt the environment’s health. This research examines how tourism, population, income, renewable energy, and electricity consumption affect carbon emissions in twenty-six lo...
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MDPI AG
2023-06-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/16/12/4608 |
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author | Anobua Acha Arnaud Martial Huang Dechun Liton Chandra Voumik Md. Jamsedul Islam Shapan Chandra Majumder |
author_facet | Anobua Acha Arnaud Martial Huang Dechun Liton Chandra Voumik Md. Jamsedul Islam Shapan Chandra Majumder |
author_sort | Anobua Acha Arnaud Martial |
collection | DOAJ |
description | Due to a rapidly growing population and economy, an increase in emissions from urban growth, industrial growth, and energy use hurt the environment’s health. This research examines how tourism, population, income, renewable energy, and electricity consumption affect carbon emissions in twenty-six low-income countries. There is no cross-sectional dependence (CSD) problem, so quantile regressions (QR) and generalized method of moments (GMM) are used. Results show that the environment is obtaining benefits because of tourism. CO<sub>2</sub> emissions are rising because the per capita income, electricity consumption, and population are growing. CO<sub>2</sub> emissions can be lowered by using more renewable energy and growing the economy faster. Environmental Kuznets Curve (EKC) is also valid in low-income countries. Thus, increasing income will not be harmful to the environment. Similarly, increasing tourism, renewable energy, and rising GDP per capita benefit low-income countries. The government can focus on sustainable tourism. Policymakers may convince more people to use renewable energy resources and grow the sustainable tourism industry. This study recommends that the government reduce greenhouse gas emissions, promote tourism that is good for the environment, take initiatives to limit population growth, and use renewable energy. |
first_indexed | 2024-03-11T02:32:00Z |
format | Article |
id | doaj.art-b52f96066e524072a0545843642a5915 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-11T02:32:00Z |
publishDate | 2023-06-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-b52f96066e524072a0545843642a59152023-11-18T10:11:42ZengMDPI AGEnergies1996-10732023-06-011612460810.3390/en16124608Investigating the Influence of Tourism, GDP, Renewable Energy, and Electricity Consumption on Carbon Emissions in Low-Income CountriesAnobua Acha Arnaud Martial0Huang Dechun1Liton Chandra Voumik2Md. Jamsedul Islam3Shapan Chandra Majumder4Institute of Industrial Economics, Hohai University, Nanjing 210098, ChinaInstitute of Industrial Economics, Hohai University, Nanjing 210098, ChinaDepartment of Economics, Noakhali Science and Technology University, Noakhali 3814, BangladeshDepartment of Tourism & Hospitality Management, Noakhali Science and Technology University, Noakhali 3814, BangladeshDepartment of Economics, Comilla University, Cumilla 3506, BangladeshDue to a rapidly growing population and economy, an increase in emissions from urban growth, industrial growth, and energy use hurt the environment’s health. This research examines how tourism, population, income, renewable energy, and electricity consumption affect carbon emissions in twenty-six low-income countries. There is no cross-sectional dependence (CSD) problem, so quantile regressions (QR) and generalized method of moments (GMM) are used. Results show that the environment is obtaining benefits because of tourism. CO<sub>2</sub> emissions are rising because the per capita income, electricity consumption, and population are growing. CO<sub>2</sub> emissions can be lowered by using more renewable energy and growing the economy faster. Environmental Kuznets Curve (EKC) is also valid in low-income countries. Thus, increasing income will not be harmful to the environment. Similarly, increasing tourism, renewable energy, and rising GDP per capita benefit low-income countries. The government can focus on sustainable tourism. Policymakers may convince more people to use renewable energy resources and grow the sustainable tourism industry. This study recommends that the government reduce greenhouse gas emissions, promote tourism that is good for the environment, take initiatives to limit population growth, and use renewable energy.https://www.mdpi.com/1996-1073/16/12/4608renewable energytourism industrylow-income countriesgeneralized method of momentsquantile regressionenvironmental kuznets curve |
spellingShingle | Anobua Acha Arnaud Martial Huang Dechun Liton Chandra Voumik Md. Jamsedul Islam Shapan Chandra Majumder Investigating the Influence of Tourism, GDP, Renewable Energy, and Electricity Consumption on Carbon Emissions in Low-Income Countries Energies renewable energy tourism industry low-income countries generalized method of moments quantile regression environmental kuznets curve |
title | Investigating the Influence of Tourism, GDP, Renewable Energy, and Electricity Consumption on Carbon Emissions in Low-Income Countries |
title_full | Investigating the Influence of Tourism, GDP, Renewable Energy, and Electricity Consumption on Carbon Emissions in Low-Income Countries |
title_fullStr | Investigating the Influence of Tourism, GDP, Renewable Energy, and Electricity Consumption on Carbon Emissions in Low-Income Countries |
title_full_unstemmed | Investigating the Influence of Tourism, GDP, Renewable Energy, and Electricity Consumption on Carbon Emissions in Low-Income Countries |
title_short | Investigating the Influence of Tourism, GDP, Renewable Energy, and Electricity Consumption on Carbon Emissions in Low-Income Countries |
title_sort | investigating the influence of tourism gdp renewable energy and electricity consumption on carbon emissions in low income countries |
topic | renewable energy tourism industry low-income countries generalized method of moments quantile regression environmental kuznets curve |
url | https://www.mdpi.com/1996-1073/16/12/4608 |
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