Impact factors decomposition and empirical analysis of energy consumption carbon emissions in Shenyang, China
WANG Mei-ling1, XI Feng-ming1, XUE Bing1, GENG Yong1, DONG Hui-juan1,2, LIU Zhu1,2
1. Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
沈阳作为我国东北地区中心城市和重工业城市,能源消费持续增长趋势及以煤为主的能源结构在短期内很难改变。由于能源消费是碳排放的主要来源,所以碳排放在未来一段时间必然会持续增长。论文根据《2006年IPCC温室气体排放清单指南》温室气体排放计算方法,并且充分考虑没有燃烧充分的燃料,计算了沈阳市2005-2009年能源消耗碳排放,采用LMDI(Logarithmic mean divisia index)分解法定量分析了单位GDP能耗、能源结构、经济发展对沈阳市能源消耗碳排放的影响。结果表明经济发展对沈阳市碳排放增长有促进作用,单位GDP能耗降低对碳排放呈现抑制作用,而能源结构对碳排放作用甚微。这说明以煤为主的能源结构未发生根本性的改变,经济规模的扩大使得单位GDP能耗抑制作用逐渐降低,碳排放将会持续增长。
Shenyang,as the largest metropolis and heavy industrial city in Northeastern China,will continue to consume more energy sources.Its energy structure mainly relies on fossil fuel and such a structure cannot be changed in the short term.This results in increasing CO2 emission.Therefore,understanding the status and driving forces of CO2 emission in Shenyang is critical for addressing related mitigation policies.In this study by adopting IPCC method and taking account of the not fully combustion of fuel,we are inventorying greenhouse gas emissions in Shenyang for the period of 2005-2009 and then analyze the driving forces for the historical evolution of CO2 emission from energy intensity,energy structure and economic activities perspectives.The results indicate that the total scale of economic activities is the main driving force for the increase of carbon emissions,while energy consumption per unit GDP is decreasing due to scientific improvement and energy structure have limited impacts on total CO2 emission.Results illustrate that the fossil fuel-based energy structure has been stable during this period,and the increasing economic scale offsets the improvement of energy intensity,resulting in increasing CO2 emission.
[1] 高彩玲,高歌,田才霞.河南省能源消费碳排放的因素分解及减排途径[J].中国矿业,2011,20(3):46-49.
[2] 董会娟,耿涌,薛冰,郗凤明.沈阳市中心城区和市郊区能源消耗碳排放格局差异[J].环境科学研究,2011,24(3):354-362.
[3] Greening L A,Davis W B,Schipper L.Decomposition of aggregate carbon intensity for the manufacturing sector: comparison of declining trends from 10 OECD countries for the period 1971-1991[J].Energy Economics,1998, 29(1):42-65.
[4] Greening L A,Ting M,Davisw B.Decomposition of aggregate carbon intensity for freight:comparison of declining trends from 10OECD countries for the period 1971-1993[J].Energy Economics,1999,21(4):331-361.
[5] WU LB,Kaneko S,Matsuoka S.Driving forces behind the stagnancy of China's energy related CO2 emissions from 1996-1999:the relative importance of structural change, intensity change and scale change[J].Energy Policy,2005, 33(3):319-335.
[6] Wang C,Chen J,Zou J.Decomposition of energy-related CO2 emission in China:1957-2000[J].Energy,2005, 30(1):73-83.
[7] 徐国泉,刘则渊,姜照华.中国碳排放的因素分解模型及实证分析:1995—2005[J].中国人口资源与环境,2006,16(6):158-161.
[8] 薛冰,李春荣,刘竹,耿涌,郗凤明.全球1970-2007年碳排放与城市化关联机理分析[J].气候变化进展,2011,7(6):423-427.
[9] Ang B W.Decomposition analysis for policymaking in energy:which is the preferred method?[J] Energy Policy, 2004,32(9):1131-1139.
[10] 蔡博峰.城市温室气体清单研究[J].气候变化研究进展, 2011,7(1):23-28.
[11] Xi F M,Geng Y,Chen X D.Contributing to local policy making on GHG emission reduction through inventorying and attribution:A case study of Shenyang,China[J]. Energy Policy,2011,39(2011):5999-6010.
[12] 何建坤,刘滨.作为温室气体排放衡量指标的碳排放强度分析[J].清华大学学报:自然科学版,2004,44(6):740-743.
[13] 郎一环,王礼茂,王冬梅.能源合理利用与CO2减排的国际经验及其对我国的启示[J].地理科学进展,2004,23(4):28-34.