Causal Relationships between Energy Consumption, Economic Growth and CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; Emission in Sub-Saharan: Evidence from Dynamic Simultaneous-Equations Models

Zaidi, Saida; Ferhi, Sabrine

doi:10.4236/me.2019.109136

Cited by 17 publications

(8 citation statements)

References 79 publications

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“…We agree with Barrassi & Spagnolo (2012) that such an imposition is too restrictive. Also, several studies (including Acheampong, 2018;Barassi & Spagnolo, 2012;Zaidi & Ferhi, 2019) have confirmed that bi-directional causality exist between the two. Accordingly, we capture the possibility of reverse causality as follows:…”

Section: Empirical Model Data and Methodologymentioning

confidence: 92%

“…The EKC has generated a plethora of empirical examinations, with some (Fang et al, 2018;Kasperowicz, 2015;Lu, 2017;Zou & Zhang, 2020) confirming it while others (Aye & Edoja, 2017;Munir & Khan, 2014;Omotor, 2016) reject it. Several studies (Odhiambo, 2017;Omri et al, 2015;Spagnolo, 2012;Zaidi & Ferhi, 2019) have considered testing for causality between the variables.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

CO2 emissions and economic growth: Assessing the heterogeneous effects across climate regimes in Africa

Espoir

Mudiangombe

Bannor

et al. 2022

Science of The Total Environment

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Section: Empirical Model Data and Methodologymentioning

confidence: 92%

Section: Literature Reviewmentioning

confidence: 99%

CO2 emissions and economic growth: Assessing the heterogeneous effects across climate regimes in Africa

Espoir

Mudiangombe

Bannor

et al. 2022

Science of The Total Environment

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“…Gövdeli (2019) identifies causality from income to environmental pollution in 26 OECD countries and Stamatiou and Dritsakis (2019) determine unidirectional causality from income to environmental pollution in Italy. The tests performed by Zaidi and Ferhi (2019) show a bidirectional linear association between income and the environment in sub-Saharan countries. demonstrate that in the case of BRICS countries, there is a positive interaction between income and the environment.…”

Section: Literature Reviewmentioning

confidence: 96%

The effect of globalization, income and tourism on environment: An empirical analysis

Özcan¹,

Gerçeker²,

Özmen³

et al. 2022

EJTR

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This study investigates the impact of globalization, real income, and tourism on the environment in top 10 destinations that attract the most tourists, using panel unit root, panel cointegration, and panel cointegration estimators for the period between 1995 and 2014. Panel cointegration test results show that the series moves together in the long run. According to the long-run panel estimator results, an increase in real income negatively affects the environment in China, France, Spain, Thailand, and the UK. Tourism decreases environmental degradation in Germany, Italy, the UK, and the United States. Globalization reduces environmental degradation in France and the UK. The short-run panel estimator shows that an increase in real income in all countries, except China, increases environmental degradation. Tourism decreases environmental degradation in Mexico and increases it in Spain. Finally, globalization contributes to the reduction of environmental degradation in Italy.

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“…Because natural resources are related to environmental degradation, increasing natural resource extraction and unsustainable consumption increase CO2 emissions in Bangladesh (Zaidi and Ferhi 2019).…”

Section: Estimating Nardl Modelmentioning

confidence: 99%

Poverty, Income inequality and Carbon Emission (CO2e) in Bangladesh: Evidence from ARDL and NARDL model

Tanchangya

Ayoungman

2022

Preprint

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Many researchers have tried to bring out the relationship between poverty and carbon emission in the environment that to a higher percentage result in environmental degradation in Bangladesh, India, Pakistan, among other countries across the world. Environmental concern remains the topmost factor of concertation by different organizations in the world. In 2021, for instance, many countries were declared susceptible to the increasing environmental degradation that could result in cases of famine, among other factors. Environmental protection is currently the priority of many firms, businesses, and countries in achieving sustainable development goals (SDGs). A significant number of studies has been done on the impact of population growth and poverty on carbon emission in Bangladesh. However, the symmetric and asymmetric impact of income inequality, poverty and population on carbon emissions (CO2e) has not been conducted in Bangladesh. Thus, this study was conducted on the short-run and long-run impact of poverty, income inequality, population and Gross Domestic Product (GDP) per capita on carbon emission in the country. This effect was investigated using Autoregressive Distributed Lag (ARDL) and also the Non-linear Autoregressive Distributed Lag (NARDL) cointegration method in Bangladesh using the 1983 to 2020 yearly data period. Poverty, population density, and GDP per capita raise short-term carbon emissions, whereas economic disparity has minimal influence on long-term emissions. Asymmetric results show economic disparities decrease carbon emissions. The NARDL findings suggest that Bangladesh's economic growth positively influences carbon emissions.

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Causal Relationships between Energy Consumption, Economic Growth and CO<sub>2</sub> Emission in Sub-Saharan: Evidence from Dynamic Simultaneous-Equations Models

Cited by 17 publications

References 79 publications

CO2 emissions and economic growth: Assessing the heterogeneous effects across climate regimes in Africa

CO2 emissions and economic growth: Assessing the heterogeneous effects across climate regimes in Africa

The effect of globalization, income and tourism on environment: An empirical analysis

Poverty, Income inequality and Carbon Emission (CO2e) in Bangladesh: Evidence from ARDL and NARDL model

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