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Nexus Between Carbon Emissions, Energy Consumption, Urbanization and Economic Growth in Asia: Evidence From Common Correlated Effects Mean Group Estimator (CCEMG)

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dc.citedby12
dc.contributor.authorAdeneye Y.B.en_US
dc.contributor.authorJaaffar A.H.en_US
dc.contributor.authorOoi C.A.en_US
dc.contributor.authorOoi S.K.en_US
dc.contributor.authorid57218564506en_US
dc.contributor.authorid57192684524en_US
dc.contributor.authorid55999134600en_US
dc.contributor.authorid56592006700en_US
dc.date.accessioned2023-05-29T09:09:01Z
dc.date.available2023-05-29T09:09:01Z
dc.date.issued2021
dc.descriptionCarbon; Economic analysis; Energy utilization; Taxation; Cross sectional dependence; Estimation techniques; Geopolitical risks; Panel co integrations; Renewable energy policy; Second generation; Serial correlation; Slope heterogeneity; Economic and social effectsen_US
dc.description.abstractThis study investigates the dynamic relationships between carbon emission, urbanization, energy consumption, and economic growth in a panel of 42 Asian countries for the period 2000�2014 using dynamic common correlated effects panel data modeling. This study employs second generation cross-sectional Pesaran (J. Appl. Econom., 2007, 22(2), 265-312) panel unit root, Westerlund panel cointegration tests (Econom. Stat., 2007, 69(6), 709-748), and Pesaran�s (Econometrica, 2006, 74(4), 967-1012) common correlated effects mean group estimation technique. These approaches allow for cross-sectional dependence, and are robust to the presence of common factors, serial correlation, and slope heterogeneity. The Common Correlated Effect Mean Group test reveals a high average coefficient of 0.602 between carbon emission and energy consumption while low coefficients of 0.114 and 0.184 for the pairs of carbon emission-urbanization and carbon emission-GDP, respectively for the panel as a whole, suggesting a cointegration between carbon emission, urbanization, energy consumption, and economic growth. The results indicate that there is relatively high carbon emission especially for highly populated and geopolitical risk Asian countries in the short run. Findings reveal long run relationships between the variables, which is attributed to the on-going carbon taxation and energy prices. Our results are robust to PMG-ARDL estimator. Overall, these findings cast important implications on renewable energy policy and urban planning insights for the policymakers. � Copyright � 2021 Adeneye, Jaaffar, Ooi and Ooi.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo610577
dc.identifier.doi10.3389/fenrg.2020.610577
dc.identifier.scopus2-s2.0-85102121514
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85102121514&doi=10.3389%2ffenrg.2020.610577&partnerID=40&md5=0c2a3e39962af37c630f02ab89911758
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26316
dc.identifier.volume8
dc.publisherFrontiers Media S.A.en_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleFrontiers in Energy Research
dc.titleNexus Between Carbon Emissions, Energy Consumption, Urbanization and Economic Growth in Asia: Evidence From Common Correlated Effects Mean Group Estimator (CCEMG)en_US
dc.typeArticleen_US
dspace.entity.typePublication
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