Liu, Lina and Qu, Jiansheng and Clarke-Sather, Afton and Maraseni, Tek Narayan and Pang, Jiaxing (2017) Spatial variations and determinants of per capita household CO2 emissions (PHCEs) in China. Sustainability, 9 (7). ISSN 2071-1050
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Abstract
In China, household CO2 emissions (HCEs) are increasing due to economic development and accelerated urbanization. This paper details the spatial variations of per capita household CO2 emissions (PHCEs) in China and the factors impacting PHCEs using spatial statistical analysis and a spatial panel data model for the period from 1997 to 2014. Our results indicate that (1) there has been high provincial variation in rates of change across China, with some provinces’ PHCEs increasing by an order of magnitude from 1997 to 2014; (2) the Global Moran’s I of PHCEs are above 0, and the spatial differences between PHCEs are caused by the High-High cluster and Low-Low cluster in China; (3) a 1% increase of per capita income, education level, and urbanization will result in increases in PHCEs of 0.6990%, 0.0149%, and 0.0044%, respectively, whilst a 1% increase in household
size will result in a 0.0496% decrease in PHCEs. There are a large number of factors impacting CO2 emissions, while there is little specific guidance on the spatial variations and provincial characteristics of CO2 emissions from the perspective of household consumption.
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| Item Type: | Article (Commonwealth Reporting Category C) |
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| Refereed: | Yes |
| Item Status: | Live Archive |
| Faculty / Department / School: | No Faculty |
| Date Deposited: | 11 Dec 2017 04:48 |
| Last Modified: | 03 May 2018 02:31 |
| Uncontrolled Keywords: | per capita household CO2 emissions (PHCEs); panel data model; spatial variations; determinants; China |
| Fields of Research : | 05 Environmental Sciences > 0502 Environmental Science and Management > 050205 Environmental Management |
| Socio-Economic Objective: | D Environment > 96 Environment > 9603 Climate and Climate Change > 960302 Climate Change Mitigation Strategies |
| Identification Number or DOI: | 10.3390/su9071277 |
| URI: | http://eprints.usq.edu.au/id/eprint/33411 |
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