DOI: 10.1016/j.scitotenv.2019.134569
论文题名: Driving forces of China's CO2 emissions from energy consumption based on Kaya-LMDI methods
作者: Yang J. ; Cai W. ; Ma M. ; Li L. ; Liu C. ; Ma X. ; Li L. ; Chen X.
刊名: Science of the Total Environment
ISSN: 489697
出版年: 2020
卷: 711 语种: 英语
英文关键词: China
; CO2 emissions
; Driving forces
; Energy consumption
; Kaya-LMDI method
Scopus关键词: Carbon dioxide
; Commerce
; Emission control
; Energy utilization
; Fossil fuels
; Global warming
; Anthropogenic carbon
; Carbon emission reductions
; China
; CO2 emissions
; Driving forces
; Electricity trading
; Industrial structures
; Kaya-LMDI method
; Carbon
; carbon dioxide
; coal
; natural gas
; carbon dioxide
; carbon emission
; economic activity
; emission control
; energy use
; industrial structure
; innovation
; policy making
; trade flow
; air pollution
; algorithm
; Article
; carbon footprint
; China
; climate change
; economic development
; electricity
; energy consumption
; environmental factor
; environmental impact
; greenhouse effect
; human
; Kaya LMDI method
; life cycle assessment
; mathematical model
; non renewable energy
; priority journal
; process development
; process optimization
; renewable energy
; traffic and transport
; urbanization
; China
; Torreya nucifera
英文摘要: Anthropogenic carbon emission gives rise to a situation where global warming is becoming serious. China is paying for reducing carbon emissions. The concept of carbon curse suggests that countries rich in fossil fuels tend to be closely linked to high carbon emissions, but this is not absolute, which reminds policymakers that the policies implemented are positively correlates with carbon emission reduction. This study is also aimed at this, hoping to provide some proposals about reducing CO2 emissions to policy-makers by decomposing and analyzing the important factors. To achieve this target, this paper employs the extended the Kaya identity, combines the LMDI method to analyze the impact factors of carbon emissions in China from 1996 to 2016 and discusses the effects and causes of each factor according to the actual situation. It is found that the economic activity is the greatest driving force to promote carbon emissions, while on the contrary, energy intensity is the biggest suppressor. Optimizing industrial structure, improving the structure of energy and export-import trade and intensifying the development of clean energy can effectively restrain the growth of carbon emissions. In addition, the relative innovation point in this study is to analyze carbon emissions with the combination of electricity trading and discusses that increasing imported electricity is also a strategy to reduce carbon emissions. © 2019 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158509
Appears in Collections: 气候变化与战略
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作者单位: College of Engineering and Technology, Southwest University, Chongqing, 400715, China; Faculty of Business, The Hong Kong Polytechnic University, Hung Hum, Kowloon, Hong Kong; School of Construction Management and Real Estate, Chongqing University, Chongqing, 400045, China; Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai, 200030, China; School of Science, Southwest University of Science and Technology, Mianyang, 621000, China
Recommended Citation:
Yang J.,Cai W.,Ma M.,et al. Driving forces of China's CO2 emissions from energy consumption based on Kaya-LMDI methods[J]. Science of the Total Environment,2020-01-01,711