The link between carbon emissions, renewable energy consumption, and economic growth: a heterogeneous panel evidence from West Africa
This study examined the nexus between carbon emissions, renewable energy consumption, and the economic growth of West African countries for the period 1990 to 2018. To be able to uncover reliable and valid findings, more robust panel estimation methods were employed for the study. From the heterogen...
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description | This study examined the nexus between carbon emissions, renewable energy consumption, and the economic growth of West African countries for the period 1990 to 2018. To be able to uncover reliable and valid findings, more robust panel estimation methods were employed for the study. From the heterogeneity and cross-sectional dependence tests, the study’s panels were heterogeneous and cross-sectionally dependent. Also, all the series were non-stationary at levels, but gained stationarity after first difference. Further, the Fisher test and the Westerlund and Edgerton bootstrap test found the variables to be cointegrated in the long run. The CCEMG and the DCCEMG estimators were used to explore the long-run equilibrium relationship amid the series, and from the results of the whole sample, CO
2
emissions and renewable energy consumption (REC) had no vital influence on economic growth (GDP) in both estimators. However, the results were a bit different in the sub-panels. Also from the whole sample, control variables urbanization (URB) and population growth (POP) had no material effect on GDP in both estimators. The results were, however, dissimilar in the sub-panels. Finally, the Dumitrescu-Hurlin test was employed to examine the causalities amid the series, and the results were diverse in the various panels. Policy recommendations are further discussed. |
doi_str_mv | 10.1007/s11356-020-08488-8 |
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2
emissions and renewable energy consumption (REC) had no vital influence on economic growth (GDP) in both estimators. However, the results were a bit different in the sub-panels. Also from the whole sample, control variables urbanization (URB) and population growth (POP) had no material effect on GDP in both estimators. The results were, however, dissimilar in the sub-panels. Finally, the Dumitrescu-Hurlin test was employed to examine the causalities amid the series, and the results were diverse in the various panels. Policy recommendations are further discussed.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-020-08488-8</identifier><identifier>PMID: 32418102</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Carbon ; Carbon dioxide ; Carbon dioxide emissions ; Dissimilar materials ; Earth and Environmental Science ; Economic development ; Economic growth ; Economics ; Ecotoxicology ; Emissions ; Energy consumption ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental science ; Estimators ; GDP ; Gross Domestic Product ; Heterogeneity ; Panels ; Population growth ; Regression analysis ; Renewable energy ; Renewable resources ; Research Article ; Urbanization ; Waste Water Technology ; Water Management ; Water Pollution Control</subject><ispartof>Environmental science and pollution research international, 2020-08, Vol.27 (23), p.28867-28889</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c433t-27bec78fff01b8b0e5cb1c70c628bb69e5ff3125ec2e045af66702d5d1b103183</citedby><cites>FETCH-LOGICAL-c433t-27bec78fff01b8b0e5cb1c70c628bb69e5ff3125ec2e045af66702d5d1b103183</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-020-08488-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-020-08488-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32418102$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Musah, Mohammed</creatorcontrib><creatorcontrib>Kong, Yusheng</creatorcontrib><creatorcontrib>Mensah, Isaac Adjei</creatorcontrib><creatorcontrib>Antwi, Stephen Kwadwo</creatorcontrib><creatorcontrib>Donkor, Mary</creatorcontrib><title>The link between carbon emissions, renewable energy consumption, and economic growth: a heterogeneous panel evidence from West Africa</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>This study examined the nexus between carbon emissions, renewable energy consumption, and the economic growth of West African countries for the period 1990 to 2018. To be able to uncover reliable and valid findings, more robust panel estimation methods were employed for the study. From the heterogeneity and cross-sectional dependence tests, the study’s panels were heterogeneous and cross-sectionally dependent. Also, all the series were non-stationary at levels, but gained stationarity after first difference. Further, the Fisher test and the Westerlund and Edgerton bootstrap test found the variables to be cointegrated in the long run. The CCEMG and the DCCEMG estimators were used to explore the long-run equilibrium relationship amid the series, and from the results of the whole sample, CO
2
emissions and renewable energy consumption (REC) had no vital influence on economic growth (GDP) in both estimators. However, the results were a bit different in the sub-panels. Also from the whole sample, control variables urbanization (URB) and population growth (POP) had no material effect on GDP in both estimators. The results were, however, dissimilar in the sub-panels. Finally, the Dumitrescu-Hurlin test was employed to examine the causalities amid the series, and the results were diverse in the various panels. Policy recommendations are further discussed.</description><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Carbon</subject><subject>Carbon dioxide</subject><subject>Carbon dioxide emissions</subject><subject>Dissimilar materials</subject><subject>Earth and Environmental Science</subject><subject>Economic development</subject><subject>Economic growth</subject><subject>Economics</subject><subject>Ecotoxicology</subject><subject>Emissions</subject><subject>Energy consumption</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental science</subject><subject>Estimators</subject><subject>GDP</subject><subject>Gross Domestic Product</subject><subject>Heterogeneity</subject><subject>Panels</subject><subject>Population growth</subject><subject>Regression analysis</subject><subject>Renewable energy</subject><subject>Renewable 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Int</addtitle><date>2020-08-01</date><risdate>2020</risdate><volume>27</volume><issue>23</issue><spage>28867</spage><epage>28889</epage><pages>28867-28889</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>This study examined the nexus between carbon emissions, renewable energy consumption, and the economic growth of West African countries for the period 1990 to 2018. To be able to uncover reliable and valid findings, more robust panel estimation methods were employed for the study. From the heterogeneity and cross-sectional dependence tests, the study’s panels were heterogeneous and cross-sectionally dependent. Also, all the series were non-stationary at levels, but gained stationarity after first difference. Further, the Fisher test and the Westerlund and Edgerton bootstrap test found the variables to be cointegrated in the long run. The CCEMG and the DCCEMG estimators were used to explore the long-run equilibrium relationship amid the series, and from the results of the whole sample, CO
2
emissions and renewable energy consumption (REC) had no vital influence on economic growth (GDP) in both estimators. However, the results were a bit different in the sub-panels. Also from the whole sample, control variables urbanization (URB) and population growth (POP) had no material effect on GDP in both estimators. The results were, however, dissimilar in the sub-panels. Finally, the Dumitrescu-Hurlin test was employed to examine the causalities amid the series, and the results were diverse in the various panels. Policy recommendations are further discussed.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>32418102</pmid><doi>10.1007/s11356-020-08488-8</doi><tpages>23</tpages></addata></record> |
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subjects | Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Carbon Carbon dioxide Carbon dioxide emissions Dissimilar materials Earth and Environmental Science Economic development Economic growth Economics Ecotoxicology Emissions Energy consumption Environment Environmental Chemistry Environmental Health Environmental science Estimators GDP Gross Domestic Product Heterogeneity Panels Population growth Regression analysis Renewable energy Renewable resources Research Article Urbanization Waste Water Technology Water Management Water Pollution Control |
title | The link between carbon emissions, renewable energy consumption, and economic growth: a heterogeneous panel evidence from West Africa |
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