基于LMDI的辽宁省碳排放分解
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摘要
以能源平衡表数据为基础,采用IPCC指南排放因子,运用对数均值迪氏指数分解法建立了碳排放量的影响因素分解模型,对辽宁省2006-2015年间的能源结构、产业结构、产业能源、经济增长、人口、生活能源、居民收入等七个因素的变化对碳排放的影响进行分解,并对影响因素构成和趋势进行分析。结果表明能源结构、经济增长、人口、生活能源、居民收入是促进因素,产业能源、产业结构是抑制因素。根据分析结果文章还提出了辽宁省碳减排的对策。
Based on the data of energy balance sheet and IPCC guidelines, this study constructs the model of carbon emission decomposition using the lagarithmic mean weight divisia. Using this means, the carbon emissions of Liaoning Province from 2006 to 2015 were decomposed into seven aspects, i.e. energy sructure, industrial stucture, industry energy, economic growth, population, residential energy and population income, and the composition and tendency were analyzed. The results show energy sructure, industrial sructure,population, residential energy and population income were contributor of carbon emissions. Industry energy and industrial stucture are considered to be constraints for carbom emissions. Some recommendations were given based on the analysis.
Based on the data of energy balance sheet and IPCC guidelines, this study constructs the model of carbon emission decomposition using the lagarithmic mean weight divisia. Using this means, the carbon emissions of Liaoning Province from 2006 to 2015 were decomposed into seven aspects, i.e. energy sructure, industrial stucture, industry energy, economic growth, population, residential energy and population income, and the composition and tendency were analyzed. The results show energy sructure, industrial sructure,population, residential energy and population income were contributor of carbon emissions. Industry energy and industrial stucture are considered to be constraints for carbom emissions. Some recommendations were given based on the analysis.
引文
[1]郭朝先.中国碳排放因素分解:基于LMDI分解技术[J].中国人口·资源与环境,2010,20(12):4-9.
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[4]郭恩铭.辽宁能源消费及与主要工业省碳排放的比较分析[J].冶金经济与管理,2018(03):34-36.
[5]陈英姿.东北地区碳排放强度驱动效应测度研究[J].求是学刊,2012,39(05):38-43.
[6]徐雪梅,王蓓蓓.辽宁碳排放与经济发展关系的实证分析[J].东北财经大学学报,2012(03):39-45.
[7]盖美,曹桂艳,田成诗,柯丽娜.辽宁沿海经济带能源消费碳排放与区域经济增长脱钩分析[J].资源科学,2014,36(06):1267-1277.
[8]江洪,赵宝福.辽宁碳排放驱动因素迪氏因式分解[J].辽宁工程技术大学学报(自然科学版),2013,32(12):1724-1728.
[2]中华人民共和国国家统计局,中国统计年鉴[M].中国统计出版社,2016.
[3]国际统计局能源统计司.中国能源统计年鉴[M].中国统计出版社,2016.
[4]郭恩铭.辽宁能源消费及与主要工业省碳排放的比较分析[J].冶金经济与管理,2018(03):34-36.
[5]陈英姿.东北地区碳排放强度驱动效应测度研究[J].求是学刊,2012,39(05):38-43.
[6]徐雪梅,王蓓蓓.辽宁碳排放与经济发展关系的实证分析[J].东北财经大学学报,2012(03):39-45.
[7]盖美,曹桂艳,田成诗,柯丽娜.辽宁沿海经济带能源消费碳排放与区域经济增长脱钩分析[J].资源科学,2014,36(06):1267-1277.
[8]江洪,赵宝福.辽宁碳排放驱动因素迪氏因式分解[J].辽宁工程技术大学学报(自然科学版),2013,32(12):1724-1728.