Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/58525
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dc.contributor.authorRossarin Osathanunkulen_US
dc.contributor.authorNatthaphat Kingnetren_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2018-09-05T04:25:56Z-
dc.date.available2018-09-05T04:25:56Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn1860949Xen_US
dc.identifier.other2-s2.0-85037869260en_US
dc.identifier.other10.1007/978-3-319-70942-0_37en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85037869260&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/58525-
dc.description.abstract© Springer International Publishing AG 2018. This study investigates the relationship between emissions, income, energy consumption, trade openness, and urbanisation in Thailand over the period of 1971 to 2014. The ARDL cointegration technique is employed and CUSUM and CUSUMSQ tests are used to ensure the stability of the estimated results. Our findings indicate there is a long run relationship among variables for the case of CO2emissions while there is none for the SO2. The results indicate an increase in income can cause significantly more CO2emissions. Energy consumption also contributes to environmental degradation with slight impact, while there is no effect from trade openness. On the contrary, urbanisation greatly helps reduce CO2emissions in the long run.en_US
dc.subjectComputer Scienceen_US
dc.titleEmissions, trade openness, urbanisation, and income in Thailand: An empirical analysisen_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Computational Intelligenceen_US
article.volume753en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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