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Index Decomposition Analysis on Factors Affecting Energy-Related Carbon Dioxide Emissions from Residential Consumption in Beijing

机译:对北京住宅消费能源相关二氧化碳排放影响的因素的指数分解分析

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摘要

Beijing’s residential CO2 emissions have become the main growth point of CO2 emissions. However, the impact factors of the direct energy-related CO2 emissions from residents in Beijing have not been previously evaluated. This paper accessed the key factors that affect the residents’ CO2 emissions in Beijing from 1995 to 2015, using a newly built decomposition model with generalized Fisher index (GFI) and M-P model. The results were compared between urban and rural areas. Urban residential CO2 emissions did not change during 1995–1999 but then grew rapidly after 1999, while rural residential CO2 emissions fluctuated during the studied period. Increased per capita income is the most important pulling factor for the growth of residential CO2 emissions, while energy consumption intensity is a decisive factor in inhibiting residential CO2 emissions. Population size plays a pulling role in the growth of residential CO2 emissions. Energy structure exerts a role in inhibiting residential CO2 emissions, and its inhibition effect is stronger for urban residents. Average consumption propensity inhibits urban residential CO2 emissions but has little effect on rural residential CO2 emissions. The population migration from rural to urban areas in the urbanization process increases residential CO2 emissions. To reduce residential CO2 emissions, several recommendations have been proposed.
机译:北京的住宅二氧化碳排放已成为二氧化碳排放的主要增长点。然而,北京居民直接能量相关二氧化碳排放的影响因素尚未评估。本文访问了1995年至2015年北京居民二氧化碳排放的关键因素,采用了具有广义Fisher指数(GFI)和M-P型号的新建分解模型。结果在城乡比较。 1995年至1999年,城市住宅二氧化碳排放并未发生变化,但随后在1999年后迅速增长,而农村住宅二氧化碳排放在研究期间波动。人均收入增加是住宅二氧化碳排放增长最重要的拉动因素,而能源消耗强度是抑制住宅二氧化碳排放的决定性因素。人口规模在住宅二氧化碳排放的增长中起着拉动作用。能源结构在抑制住宅二氧化碳排放方面发挥作用,其抑制作用对城市居民更强大。平均消费倾向抑制了城市住宅二氧化碳排放,但对农村住宅二氧化碳排放影响不大。城市化进程中农村到城市地区的人口迁移增加了住宅二氧化碳排放量。为减少住宅二氧化碳排放,提出了若干建议。

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    Fengyan Fan; Yalin Lei;

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  • 年度 2017
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  • 原文格式 PDF
  • 正文语种 eng
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