globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jclepro.2019.01.058
WOS记录号: WOS:000459358300116
论文题名:
A systematic review of empirical methods for modelling sectoral carbon emissions in China
作者: Huang, Li1,2,3; Kelly, Scott3; Lv, Kangjuan2; Giurco, Damien3
通讯作者: Lv, Kangjuan
刊名: JOURNAL OF CLEANER PRODUCTION
ISSN: 0959-6526
EISSN: 1879-1786
出版年: 2019
卷: 215, 页码:1382-1401
语种: 英语
英文关键词: Climate change ; Carbon emissions ; China ; Knowledge mapping ; Literature review ; Modelling
WOS关键词: STRUCTURAL DECOMPOSITION ANALYSIS ; SPATIAL ECONOMETRIC-ANALYSIS ; INPUT-OUTPUT-ANALYSIS ; CO2 EMISSIONS ; ENERGY-CONSUMPTION ; CLIMATE-CHANGE ; HOUSEHOLD CONSUMPTION ; INDUSTRIAL-STRUCTURE ; SENSITIVITY-ANALYSIS ; GUANGDONG PROVINCE
WOS学科分类: Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS研究方向: Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
英文摘要:

A number of empirical methods have been developed to study China's sectoral carbon emissions (CSCE). Measuring these emissions is important for climate change mitigation. While several articles have reviewed specific methods, few attempts conduct a systematic analysis of all the major research methods. In total 807 papers were published on CSCE research between 1997 and 2017. The primary source of literature for this analysis was taken from the Web of Science database. Based on a bibliometric analysis using knowledge mapping with the software CiteSpace, the review identified five common families of methods: 1) environmentally-extended input-output analysis (EE-IOA), 2) index decomposition analysis (IDA), 3) econometrics, 4) carbon emission control efficiency evaluation and 5) simulation. The research revealed the main trends in each family of methods and has visualized this research into ten research clusters. In addition, the paper provides a direct comparison of all methods. The research results can help scholars quickly identify and compare different methods for addressing specific research questions. (C) 2019 Elsevier Ltd. All rights reserved.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/133743
Appears in Collections:气候变化事实与影响

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作者单位: 1.Shanghai Univ, Sch Econ, Shanghai 200444, Peoples R China
2.Shanghai Univ, SHU UTS SILC Business Sch, Shanghai 201800, Peoples R China
3.Univ Technol Sydney, Inst Sustainable Futures, Sydney, NSW 2007, Australia

Recommended Citation:
Huang, Li,Kelly, Scott,Lv, Kangjuan,et al. A systematic review of empirical methods for modelling sectoral carbon emissions in China[J]. JOURNAL OF CLEANER PRODUCTION,2019-01-01,215:1382-1401
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