Urbanization and Renewable and Non-renewable Energy Consumption in OECD Countries: An Empirical Analysis
dc.contributor.author | Salim, Ruhul | |
dc.contributor.author | Shafiei, S. | |
dc.date.accessioned | 2017-01-30T14:27:11Z | |
dc.date.available | 2017-01-30T14:27:11Z | |
dc.date.created | 2014-03-24T20:00:41Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Salim, Ruhul A. and Shafiei, Sahar. 2014. Urbanization and Renewable and Non-renewable Energy Consumption in OECD Countries: An Empirical Analysis. Economic Modelling. 38: pp. 581-591. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/38868 | |
dc.identifier.doi | 10.1016/j.econmod.2014.02.008 | |
dc.description.abstract |
This article aims to analyse the impact of urbanization on renewable and non-renewable energy consumption in OECD countries by using the STIRPAT model and data for the period of 1980 to 2011. Demographic factors including total population, urbanization and population density are found to be significant factors, particularly with respect to non-renewable energy consumption. The results also reveal that while total population and urbanization positively influence non-renewable energy consumption, population density has a negative impact on non-renewable energy consumption. From the demographic factors only total population has a significant impact on renewable energy consumption. Granger causality results indicate that there is unidirectional causality from non-renewable energy use to population density in the short run. However, no causal linkage is found between urbanization and non-renewable energy use. Likewise, no causal direction is seen between renewable energy use and any of the demographic factors. | |
dc.publisher | Elsevier BV North-Holland | |
dc.subject | Non-renewable energy consumption | |
dc.subject | Renewable energy consumption | |
dc.subject | Urbanization | |
dc.subject | STIRPAT model | |
dc.subject | CO2 emissions | |
dc.title | Urbanization and Renewable and Non-renewable Energy Consumption in OECD Countries: An Empirical Analysis | |
dc.type | Journal Article | |
dcterms.source.volume | 338 | |
dcterms.source.startPage | 581 | |
dcterms.source.endPage | 591 | |
dcterms.source.issn | 0264-9993 | |
dcterms.source.title | Economic Modelling | |
curtin.note |
NOTICE: this is the author’s version of a work that was accepted for publication in Economic Modelling. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Economic Modelling, Vol. 38 (2014). DOI: 10.1016/j.econmod.2014.02.008 | |
curtin.department | ||
curtin.accessStatus | Open access |