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Decoupling economic growth from CO2 emissions: A decomposition analysis of China's household energy consumption

机译:将经济增长与二氧化碳排放量脱钩:中国家庭能源消耗的分解分析

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摘要

This paper analyzes Chinese household CO_2 emissions in 1994-2012 based on the Logarithmic Mean Divisia Index(LMDI) structure decomposition model, and discusses the relationship between household CO_2 emissions and economic growth based on a decoupling indicator.The results show that in 1994-2012, household CO_2 emissions grew in general and displayed an accelerated growth trend during the early 21 st century. Economic growth leading to an increase in energy consumption is the main driving factor of CO_2 emission growth(an increase of 1.078 Gt CO_2) with cumulative contribution rate of 55.92%, while the decline in energy intensity is the main cause of CO_2 emission growth inhibition(0.723 Gt CO_2 emission reduction) with cumulative contribution rate of 38.27%. Meanwhile, household CO_2 emissions are in a weak state of decoupling in general. The change in CO_2 emissions caused by population and economic growth shows a weak decoupling and expansive decoupling state, respectively. The CO_2 emission change caused by energy intensity is in a state of strong decoupling, and the change caused by energy consumption structure ?uctuates between a weak and a strong decoupling state.

著录项

  • 来源
    《气候变化研究进展(英文版)》 |2016年第3期|192-200|共9页
  • 作者单位

    Center for Energy and Environment Policy Research, Beijing Institute of Technology, Beijing 100081, China;

    School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China;

    Center for Energy and Environment Policy Research, Beijing Institute of Technology, Beijing 100081, China;

    School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China;

    Center for Energy and Environment Policy Research, Beijing Institute of Technology, Beijing 100081, China;

    School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China;

    Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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