首站-论文投稿智能助手
典型文献
Influencing factors and contribution analysis of CO2 emissions originating from final energy consumption in Sichuan Province,China
文献摘要:
Within the context of CO2 emission peaking and carbon neutrality,the study of CO2 emissions at the provincial level is few.Sichuan Province in China has not only superior clean energy resources endowment but also great potential for the reduction of CO2 emissions.Therefore,using logarithmic mean Divisia index(LMDI)model to analysis the influence degree of different influencing factors on CO2 emissions from final energy consumption in Sichuan Province,so as to formulate corresponding emission reduction countermeasures from different paths according to the influencing factors.Based on the data of final energy consumption in Sichuan Province from 2010 to 2019,we calculated CO2 emission by the indirect emission calculation method.The influencing factors of CO2 emissions originating from final energy consumption in Sichuan Province were decomposed into population size,economic development,industrial structure,energy consumption intensity,and energy consumption structure by the Kaya-logarithmic mean Divisia index(LMDI)decomposition model.At the same time,grey correlation analysis was used to identify the correlation between CO2 emissions originating from final energy consumption and the influencing factors in Sichuan Province.The results showed that population size,economic development and energy consumption structure have positive contributions to CO2 emissions from final energy consumption in Sichuan Province,and economic development has a significant contribution to CO2 emissions from final energy consumption,with a contribution rate of 519.11%.The industrial structure and energy consumption intensity have negative contributions to CO2 emissions in Sichuan Province,and both of them have significant contributions,among which the contribution rate of energy consumption structure was 325.96%.From the perspective of industrial structure,secondary industry makes significant contributions and will maintain a restraining effect;from the perspective of energy consumption structure,industry sector has a significant contribution.The results of this paper are conducive to the implementation of carbon emission reduction policies in Sichuan Province.
文献关键词:
作者姓名:
LIU Wei;JIA Zhijie;DU Meng;DONG Zhanfeng;PAN Jieyu;LI Qinrui;PAN Linyan;Chris UMOLE
作者机构:
College of Resources and Environment,Chengdu University of Information Technology,Chengdu,610225,China;Environmental Planning Institute,Ministry of Ecology and Environment,Chengdu,610225,China
引用格式:
[1]LIU Wei;JIA Zhijie;DU Meng;DONG Zhanfeng;PAN Jieyu;LI Qinrui;PAN Linyan;Chris UMOLE-.Influencing factors and contribution analysis of CO2 emissions originating from final energy consumption in Sichuan Province,China)[J].区域可持续发展(英文),2022(04):356-372
A类:
B类:
Influencing,factors,analysis,emissions,originating,from,final,energy,consumption,Sichuan,Province,China,Within,context,peaking,carbon,neutrality,study,provincial,level,few,has,not,only,superior,clean,resources,endowment,also,great,potential,reduction,Therefore,using,logarithmic,mean,Divisia,LMDI,model,influence,degree,different,influencing,formulate,corresponding,countermeasures,paths,according,Based,data,calculated,by,indirect,calculation,method,were,decomposed,into,population,size,economic,development,industrial,structure,intensity,Kaya,decomposition,At,same,grey,correlation,was,used,identify,between,results,showed,that,have,positive,contributions,significant,rate,negative,both,them,among,which,From,perspective,secondary,industry,makes,will,maintain,restraining,effect,sector,this,paper,are,conducive,implementation,policies
AB值:
0.387969
相似文献
Spatio-temporal variations and influencing factors of energy-related carbon emissions for Xinjiang cities in China based on time-series nighttime light data
ZHANG Li;LEI Jun;WANG Changjian;WANG Fei;GENG Zhifei;ZHOU Xiaoli-Xinjiang Institute of Ecology and Geography,CAS,Urumqi 830011,China;University of Chinese Academy of Sciences,Beijing 100049,China;Fujian Urban and Rural Planning&Design Institute,Fuzhou 350003,China;Guangdong Provincial Key Laboratory of Remote Sensing and Geographical Information System,Guangdong Open Laboratory of Geospatial Information Technology and Application,Guangzhou Institute of Geography,Guangdong Academy of Sciences,Guangzhou 510070,China;School of Resources and Planning,Guangzhou Xinhua University,Guangzhou 510520,China;Suzhou Honglan Data Technology Co.,Ltd,Suzhou 215000,Jiangsu,China;Urumqi Meteorological Satellite Ground Station,Urumqi 830011,China
Dynamic changes and convergence of China's regional green productivity:A dynamic spatial econometric analysis
Xu-Quan ZHAI;Rui XUE;Bin HE;Dong YANG;Xiang-Yu PEI;Xian LI;Yuli SHAN-Research Center for Socialism with Chinese Characteristics,Zhejiang University,Hangzhou 310058,China;Centre for Corporate Sustainability and Environmental Finance,Department of Applied Finance,Macquarie University,Sydney 2109,Australia;China Center for Public Sector Economic Research,Jilin University,Changchun 130012,China;School of Statistics,Southwestern University of Finance and Economics,Chengdu 611130,China;School of Economics,Jilin University,Changchun 130012,China;College of Textile,Donghua University,Shanghai 201620,China;Integrated Research on Energy,Environment and Society(IREES),Energy and Sustainability Research Institute Groningen,University of Groningen,Groningen 9747 AG,the Netherlands
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。