中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Estimation and Influencing Factor Analysis of Carbon Emissions From the Entire Production Cycle for Household consumption: Evidence From the Urban Communities in Beijing, China

文献类型:期刊论文

作者Wang, Jiabin2; Hui, Wenjie2; Liu, Lian2; Bai, Yuping1,2; Du, Yudong2; Li, Jiajin2
刊名FRONTIERS IN ENVIRONMENTAL SCIENCE
出版日期2022-04-14
卷号10页码:16
关键词household carbon emissions survey consumer lifestyle approach community type influencing factors Beijing
DOI10.3389/fenvs.2022.843920
通讯作者Bai, Yuping(baiyp@cugb.edu.cn)
英文摘要Household carbon emissions (HCEs) in urban communities are significant sources of China's total carbon emissions and contribute to global warming and climate change dramatically. This study aims to estimate the HCEs and investigate their influential factors based on a total of 185 household survey data collected from three typical types of urban communities in Beijing: traditional communities, unit communities, and commercial housing communities with the application of the consumer lifestyle approach analysis and econometrics model. The results show that unit communities contribute to the highest direct carbon emissions and the commercial housing communities produce the most indirect carbon emissions, with the traditional communities emitting the lowest carbon emissions both directly and indirectly. The highest direct carbon emissions of households are found in unit communities at 723.79 kgCO(2) per month, followed by commercial communities at 580.01 kgCO(2), and finally the traditional communities with 526.44 kgCO(2) direct carbon emissions monthly. And the highest monthly indirect carbon emissions of households are found in commercial communities at 707.70 kgCO(2), followed by unit communities at 669.38 kgCO(2), and finally with 554.85 kgCO(2) indirect carbon emissions monthly in traditional communities. It concludes that the community type affects HCE characteristics and their driving factors significantly. Household income, household population, and the ownership of cars increase HCE in more than one type of community. Scientific research work-related population, community environment satisfaction, housing area have positive effects, while community convenience has negative impacts on HCEs in one certain type of community. Policy implications tailored to general and specific community types are proposed as the guidance of carbon reduction and community transformation finally. This study contributes to the understanding of the impact of community attributes on HCEs and proposes some methods for microregional carbon emission reduction and the ecological transformation of urban communities.
WOS关键词NEW-TYPE URBANIZATION ; TIANJIN-HEBEI REGION ; ENERGY-CONSUMPTION ; CO2 EMISSIONS ; LIFE-STYLE ; SPATIAL DIFFERENTIATION ; ECOLOGICAL FOOTPRINT ; DAILY TRAVEL ; DETERMINANTS ; IMPACT
资助项目National Natural Science Foundation of China[72104223]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000795457400001
出版者FRONTIERS MEDIA SA
资助机构National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/177104]  
专题中国科学院地理科学与资源研究所
通讯作者Bai, Yuping
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
2.China Univ Geosci, Sch Land Sci & Technol, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Wang, Jiabin,Hui, Wenjie,Liu, Lian,et al. Estimation and Influencing Factor Analysis of Carbon Emissions From the Entire Production Cycle for Household consumption: Evidence From the Urban Communities in Beijing, China[J]. FRONTIERS IN ENVIRONMENTAL SCIENCE,2022,10:16.
APA Wang, Jiabin,Hui, Wenjie,Liu, Lian,Bai, Yuping,Du, Yudong,&Li, Jiajin.(2022).Estimation and Influencing Factor Analysis of Carbon Emissions From the Entire Production Cycle for Household consumption: Evidence From the Urban Communities in Beijing, China.FRONTIERS IN ENVIRONMENTAL SCIENCE,10,16.
MLA Wang, Jiabin,et al."Estimation and Influencing Factor Analysis of Carbon Emissions From the Entire Production Cycle for Household consumption: Evidence From the Urban Communities in Beijing, China".FRONTIERS IN ENVIRONMENTAL SCIENCE 10(2022):16.

入库方式: OAI收割

来源:地理科学与资源研究所

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