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DOI | 10.1007/s11356-015-5856-x |
A hybrid study of multiple contributors to per capita household CO2 emissions (HCEs) in China | |
Qu, Jiansheng; Qin, Shanshan; Liu, Lina; Zeng, Jingjing; Bian, Yue | |
发表日期 | 2016 |
ISSN | 0944-1344 |
EISSN | 1614-7499 |
起始页码 | 6430 |
结束页码 | 6442 |
卷号 | 23期号:7 |
英文摘要 | Given the large expenditures by households on goods and services that contribute a large proportion of global CO2 emissions, increasing attention has been paid to household CO2 emissions (HCEs). However, compared with industrial CO2 emissions, efforts devoted to mitigating HCEs are relatively small. A good understanding of the effects of some driving factors (i.e., urbanization rate, per capita GDP, per capita income/disposable income, Engel coefficient, new energy ratio, carbon intensity, and household size) is urgently needed prior to considering policies for reducing HCEs. Given this, in the study, the direct and indirect per capita HCEs were quantified in rural and urban areas of China over the period 2000-2012. Correlation analysis and gray correlation analysis were initially used to identify the prime drivers of per capita HCEs. Our results showed that per capita income/disposable income, per capita GDP, urbanization rate, and household size were the most significantly correlated with per capita HCEs in rural areas. Moreover, the conjoint effects of the potential driving factors on per capita HCEs were determined by performing principal component regression analysis for all cases. Based on the combined analysis strategies, alternative polices were also examined for controlling and mitigating HCEs growth in China. |
关键词 | PRINCIPAL COMPONENT ANALYSISGREY CORRELATION-ANALYSISENERGY-REQUIREMENTSCARBON EMISSIONSRURAL HOUSEHOLDSCONSUMPTIONREGRESSIONDECOMPOSITIONURBANMODEL |
英文关键词 | Household CO2 emissions (HCEs); Driving factors; Correlation analysis (CA); Gray correlation analysis (GCA); Principle component regression (PCR) |
语种 | 英语 |
WOS研究方向 | Environmental Sciences |
来源期刊 | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH |
来源机构 | 中国科学院西北生态环境资源研究院 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/134227 |
作者单位 | Lanzhou Univ, MOE Key Lab Western Chinas Environm Syst, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China. |
推荐引用方式 GB/T 7714 | Qu, Jiansheng,Qin, Shanshan,Liu, Lina,et al. A hybrid study of multiple contributors to per capita household CO2 emissions (HCEs) in China[J]. 中国科学院西北生态环境资源研究院,2016,23(7). |
APA | Qu, Jiansheng,Qin, Shanshan,Liu, Lina,Zeng, Jingjing,&Bian, Yue.(2016).A hybrid study of multiple contributors to per capita household CO2 emissions (HCEs) in China.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,23(7). |
MLA | Qu, Jiansheng,et al."A hybrid study of multiple contributors to per capita household CO2 emissions (HCEs) in China".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 23.7(2016). |
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