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全生命周期下中国煤炭资源能源碳排放效率评价
引用本文:胡彦勇,张瑞,郄晓彤,刘虹.全生命周期下中国煤炭资源能源碳排放效率评价[J].中国环境科学,2022,42(6):2942-2954.
作者姓名:胡彦勇  张瑞  郄晓彤  刘虹
作者单位:北京管理学院, 北京 100083;2. 中国宏观经济研究院能源研究所, 北京 100038
基金项目:煤炭资源与安全开采国家重点实验室开放基金资助项目(SKLCRSM20KFA05);
摘    要:基于生命周期法(LCA)构建了煤炭资源在开发、转换、利用阶段的碳排放估算模型,采用动态网络SBM模型测算了2007~2019年中国25个省(自治区、直辖市)煤炭资源的综合能源碳排放效率、时期能源碳排放效率与阶段能源碳排放效率.结果表明:我国煤炭资源综合能源碳排放效率水平呈“U”字型分布,东部最高、西部次之、中部最低.煤炭资源能源碳排放效率水平存在较大的提升空间,2007~2019年综合能源碳排放效率均值仅为0.4726;我国煤炭资源时期能源碳排放效率区域间差异显著,效率水平较高的地区主要集中在华东与中南地区;从阶段能源碳排放效率分析可以发现仅北京、江苏、青海三省阶段1与阶段3的能源碳排放效率处于有效水平,其余省(自治区、直辖市)及其他阶段均存在效率损失,尤其阶段2效率损失严重.研究期内阶段3的能源碳排放效率整体呈“类峰峦状”的波动上升趋势;DNSBM和NSBM两种模型测算的能源碳排放效率对比发现,NSBM模型会低估煤炭资源综合能源碳排放效率水平.

关 键 词:煤炭资源  能源碳排放效率  全生命周期  动态网络SBM模型  
收稿时间:2021-12-01

Evaluation of China's coal resource energy carbon emission efficiency in the whole life cycle
HU Yan-yong,ZHANG Rui,QIE Xiao-tong,LIU Hong.Evaluation of China's coal resource energy carbon emission efficiency in the whole life cycle[J].China Environmental Science,2022,42(6):2942-2954.
Authors:HU Yan-yong  ZHANG Rui  QIE Xiao-tong  LIU Hong
Institution:1. School of Management, China University of Mining and Technology, Beijing 100083, China;2. Energy Research Institute, Chinese Academy of Macroeconomic Research, Beijing 100038, China
Abstract:Based on the LCA, the carbon emission estimation model of coal resources in the development, conversion and utilization stages was constructed, the dynamic network SBM model was used to calculate the comprehensive energy carbon emission efficiency, period energy carbon emission efficiency and phase energy carbon emission efficiency of coal resources in China's 25provinces from 2007 to 2019. The results showed that the comprehensive energy carbon emission efficiency level of China's coal resources was distributed in a "U" shape, with the highest in the east, the second in the west, and the lowest in the middle. There was a large room for improvement in the carbon emission efficiency level of coal resources and energy, the average value of comprehensive energy carbon emission efficiency from 2007 to 2019 was only 0.4726. There were significant regional differences in energy carbon emission efficiency during the coal resource period in China, and the regions with higher efficiency levels were mainly concentrated in East China and Central South China; From the stage energy carbon emission efficiency analysis, it can be found that only the stage 1and stage 3energy carbon emission efficiency of the three provinces of Beijing, Jiangsu and Qinghai at an effective level. The remaining provinces and other stages have efficiency losses, especially stage 2efficiency losses serious. During the study period, the energy carbon emission efficiency of stage 3 showed a "peak-like" fluctuating upward trend as a whole. The comparison of the energy carbon emission efficiency measured by the DNSBM and NSBM models found that the NSBM model would underestimate the comprehensive energy carbon emission efficiency level of coal resources.
Keywords:coal resources  energy carbon emission efficiency  whole life cycle  dynamic network SBM model  
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