Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/108497
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dc.contributor.authorXenophon, Aleksis-
dc.date.issued2015-
dc.identifier.urihttp://hdl.handle.net/2440/108497-
dc.descriptionThis item is only available electronically.en
dc.description.abstractThe following thesis investigates the relationship between electricity consumption and economic growth in China over the period 1985-2012. Long and short run Granger causal relationships between these variables are ascertained by applying a vector error correction model to national, electricity-market, and provincial-level data. A comparison is then made between the relationships obtained from these different datasets. The results suggest that a large amount of information is lost as a result of aggregation, with data at the national and electricity-market levels being unable to accurately reflect prevailing relationships observed at the provincial level. This observation is particularly relevant given the predominance of national level studies found in the literature.en
dc.language.isoenen
dc.subjectHonours; Economicsen
dc.titleElectricity Consumption and Economic Growth in China: Assessing Granger Causality at Provincial, Electricity-Market and National Levelsen
dc.typeThesisen
dc.contributor.schoolSchool of Economics-
dc.provenanceThis electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exceptions. If you are the author of this thesis and do not wish it to be made publicly available, or you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legals-
dc.description.dissertationThesis (B.Ec.(Hons)) -- University of Adelaide, School of Economics, 2017-
Appears in Collections:School of Economics

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