Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/65534
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dc.contributor.authorWilawan Srichaikulen_US
dc.contributor.authorWoraphon Yamakaen_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2019-08-05T04:35:05Z-
dc.date.available2019-08-05T04:35:05Z-
dc.date.issued2019-01-01en_US
dc.identifier.issn1860949Xen_US
dc.identifier.other2-s2.0-85065606709en_US
dc.identifier.other10.1007/978-3-030-04200-4_61en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85065606709&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/65534-
dc.description.abstract© Springer Nature Switzerland AG 2019. Energy consumption and economic growth relationship is an important global issue. Thus, in this study, we investigate the energy and economy nexus in the five major emerging national economies or BRICS countries, namely, Brazil, Russia, India, China and South Africa over the period 1990 to 2016 using Panel Quantile Bayesian regression approach. The results show that the effect of energy consumption on economic growth is positive and significant at the 95% Bayesian credible interval level for all quantiles. Meanwhile, other control variables are not statistically significant in affecting the energy consumption.en_US
dc.subjectComputer Scienceen_US
dc.titleThe effect of energy consumption on economic growth in brics countries: Evidence from panel quantile bayesian regressionen_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Computational Intelligenceen_US
article.volume809en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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