The impact of energy intensity, urbanisation, industrialisation, and income on CO&lt;SUB align=right&gt;2 emissions in South Africa: an ARDL bounds testing approach

Nondo, Chali; Kahsai, Mulugeta S.

doi:10.1504/ajesd.2020.106826

Cited by 27 publications

(14 citation statements)

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“…The result indicates that an increase in energy usage deteriorates the quality of the environment in Malaysia. Our finding is supported by several studies, such as, Adebayo ( 2021 ), Akbota and Baek ( 2018 ), Adebayo and Kalmaz ( 2021 ), Nondo and Kahsai ( 2020 ), Kirikkaleli and Kalmaz ( 2020 ), Adebayo ( 2020 ), Odugbesan and Adebayo ( 2020 ), Vo et al ( 2019 ), Irfan and Shaw ( 2017 ), Zmami and Ben-Salha ( 2020 ), and Adebayo et al ( 2020 ). Furthermore, our result about the positive association between energy use and CO 2 emissions by the present study is in line with other Malaysian studies by Ang ( 2008 ); Azlina and Mustapha ( 2012 ); Hossain ( 2011 ); Begum et al ( 2015 ); and Sarkar et al ( 2019 ).…”

Section: Discussionsupporting

confidence: 88%

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Dynamic impacts of energy use, agricultural land expansion, and deforestation on CO2 emissions in Malaysia

et al. 2022

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This study empirically investigates the nexus among energy use, agricultural land expansion, deforestation, and carbon dioxide (CO 2 ) emissions in Malaysia. Time series data from 1990 to 2019 were utilized using the bounds testing (ARDL) approach followed by the Dynamic Ordinary Least Squares (DOLS) method. The DOLS estimate findings show that the energy usage coefficient is positive and significant with CO 2 emissions, indicating a 1% increase in energy consumption is related to a 0.91% rise in CO 2 emissions. In addition, the coefficient of agricultural land is positive, which indicates that agricultural land expansion by 1% is associated with an increase in CO 2 emissions by 0.84% in the long run. Furthermore, the forested area coefficient is negative, which means that decreasing 1% of the wooded area (i.e., deforestation) has a long-term effect of 5.41% increased CO 2 emissions. Moreover, the pairwise Granger causality test results show bidirectional causality between deforestation and energy use; and unidirectional causality from energy use to CO 2 emissions, agricultural land expansion to CO 2 emissions, deforestation to CO 2 emissions, agricultural land expansion to energy use, and deforestation to agricultural land expansion in Malaysia. The empirical findings reveal that increased energy use, agricultural land expansion, and deforestation have a negative impact on environmental quality in Malaysia. Thus, the effective implementation of policy measures to promote renewable energy, climate-smart agriculture, and sustainable management of forest ecosystems could be useful for reducing environmental degradation in Malaysia.

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Section: Discussionsupporting

confidence: 88%

“…Using the ARDL estimator for Kazakhstan spanning 1980–2011, Akbota and Baek ( 2018 ) found that energy consumption increases CO 2 emissions. By employing the ARDL approach, Nondo and Kahsai ( 2020 ) revealed a positive relationship between energy intensity and CO 2 emissions in South Africa from 1970 to 2016.…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic impacts of energy use, agricultural land expansion, and deforestation on CO2 emissions in Malaysia

et al. 2022

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“…Adebayo and Kalmaz (2021) exposed a positive contact of economic growth and urbanization on CO2 emissions in Egypt by using the data from 1971 to 2014. Nondo and Kahsai (2020) uncovered positive impacts of economic growth and urbanization on CO2 emissions in South Africa from 1970 to 2016. Kirikkaleli and Kalmaz (2020) Irfan and Shaw (2017) found that urbanization positively influence CO2 emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

Carbon Emission Dynamics in India Due to Financial Development, Renewable Energy Utilization, Technological Innovation, Economic Growth, and Urbanization

Raihan

Voumik

2022

JESCAE

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Concerns about climate change, emission reduction, and environmental sustainability have become crucial in accomplishing long-term development goals. The present study explored the dynamic effects of financial development, renewable energy utilization, technological innovation, economic growth, and urbanization on carbon dioxide (CO2) emissions in India. This investigation quantifies short- and long-run dynamics using time series data from 1990 to 2020 and an Autoregressive Distributed Lag (ARDL) model. The outcomes from ARDL short- and long-run analysis revealed a positive and significant effect of financial development, economic growth, and urbanization on CO2 emissions in India. In contrast, both the short- and long-term coefficients for renewable energy utilization and technological innovation are negative and statistically significant, suggesting that expanding these variables will lead to lower CO2 emissions. The findings were validated by employing the Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegration Regression (CCR) methods. This research provides novel findings that add to the current literature and may be of special relevance to policymakers in the country because of the role that the financial system plays in environmental concerns.

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“…Sustainable tourism is necessary to reduce tourism's negative impacts on society, the environment, the climate, and the economy. Odugbesan and Adebayo (2020), Adebayo and Kalmaz (2021), Nondo and Kahsai (2020). Singapore's economy will rise which could improve air quality, as predicted by (Mehmood 2021).…”

Section: Resultsmentioning

confidence: 99%

Toward environmental sustainability: Nexus between tourism, economic growth, energy use and carbon emissions in Singapore

Raihan

Muhtasim

Farhana

et al. 2022

GSSR

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Singapore is a renowned tourist destination; however, the country's rapid economic growth has led to rising energy consumption and carbon emissions. This study aims to examine the factors that contribute to carbon dioxide (CO2) emissions in Singapore, including tourism, economic growth, and energy use. The dynamic ordinary least squares (DOLS) approach was used to analyze time series data from 1990 to 2020. The results of the empirical study revealed that the tourist coefficient is positive and significant. A 0.50% increase in CO2 emissions relates to a 1% increase in tourism activities over time, according to the findings. In addition, the result indicates that the economy's long-run growth coefficient is significantly negative. This shows that a 1% economic growth will reduce CO2 emissions by 0.03% in the long run. Furthermore, a positive and statistically significant correlation for energy consumption suggests that a long-term increase of 1% in energy consumption is associated with an increase of 0.88% in CO2 emissions. To promote the emergence of sustainable development and a low-carbon economy, this article proposed policy recommendations addressing the reduction of emissions and the promotion of ecologically responsible and sustainable tourism while boosting the utilization of renewable energy technologies.

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The impact of energy intensity, urbanisation, industrialisation, and income on CO<SUB align=right>2 emissions in South Africa: an ARDL bounds testing approach

Cited by 27 publications

References 0 publications

Dynamic impacts of energy use, agricultural land expansion, and deforestation on CO2 emissions in Malaysia

Dynamic impacts of energy use, agricultural land expansion, and deforestation on CO2 emissions in Malaysia

Carbon Emission Dynamics in India Due to Financial Development, Renewable Energy Utilization, Technological Innovation, Economic Growth, and Urbanization

Toward environmental sustainability: Nexus between tourism, economic growth, energy use and carbon emissions in Singapore

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