城乡发展与环境保护

中国工业燃烧能源导致碳排放的因素分解

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  • 中国科学院地理科学与资源研究所,北京100101
刘红光(1982-),男,博士研究生.研究方向为区域经济与区域可持续发展.E-mail: liuhg.07b@igsnrr.ac.cn

收稿日期: 2008-09-01

  修回日期: 2008-12-01

  网络出版日期: 2009-03-25

基金资助

国家科技攻关计划(2007BAC03A1104).

Decomposition of Energy-induced CO2 Emissions in Industry of China

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  • Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

Received date: 2008-09-01

  Revised date: 2008-12-01

  Online published: 2009-03-25

摘要

在碳排放的分解方面,方法日渐成熟,包括Laspeyres 指数法、简单平均分解法(SAD)、自适应权重分解法 (AWD)等。许多学者也做过大量实证研究,但基本都用到碳排放强度或者能源消费强度这一因子并且认为其占有绝 对地位,缺乏进一步的分解。本文通过对碳排放计算公式的深入分解,将工业燃烧能源导致的碳排放量分解为6 个 因素,即能源消费总量、能源消费结构、技术因素、中间投入量、产业结构以及工业总量。并借助LMDI 分解方法,分 析了我国1992~2005 年工业燃烧能源导致碳排放的影响因素。结果显示我国经济总量的增长、能源利用效率低以 及以煤为主的能源消费结构是导致我国碳排放大量增加的主要原因。而技术(中间投入比重)、行业产值结构、能源 结构等因素的变化对碳减排的作用并不明显。因此,加快技术进步、调整产业结构和能源结构、发展清洁能源发电, 以提高能源利用效率、转变能源消费结构,可以有效减少工业碳排放量。

本文引用格式

刘红光,刘卫东 . 中国工业燃烧能源导致碳排放的因素分解[J]. 地理科学进展, 2009 , 28(2) : 285 -292 . DOI: 10.11820/dlkxjz.2009.02.018

Abstract

There are many articles in the field of CO2 emission decomposition and the methods including Laspeyres index, Sample Average Division and Adaptive-Weighting Division are more scientific now, but many researchers just focused on one factor of carbon emission intensity or energy consumption intensity and lacked further decomposition. This paper presents a complex formula to calculate carbon emission, then examines the factors, including total energy consumption, energy mix, technology, inter -input, industrial structure and total industrial production, which have effects on CO2 emission from industrial energy during the period 1992~ 2005 by the decomposition method of LMDI proposed by Ang et al. The results show that the gross emission of CO2 induced by the energy consumption of manufacture in China increased rapidly during the period of 1992 -2005, especially in 2002 -2005 coherent with the economic development path. And the increase is mostly derived from the augment of total industrial production with the characteristics of heavy industrialization, low efficiency of energy consumption and the mix of primary energy with high proportion of coal. Beyond our expectation, the factors of technology (proportion of inter-input) and industrial structure do not have a big reduction of CO2 emission because of the economic development mainly driven by huge investment of infrastructure such as transportation, housing construction and primary manufacture such as steel, cement, chemistry and so on. But the quantity change of inter-input including other unaccounted factors is the primary contributor. The results indicate that accelerating technology upgrade, regulating industrial structure and energy mix, and developing CMD (Clean Development Mechanism) project are the efficient ways to reduce CO2 emissions.

参考文献



[1] 秦大河. 气候变化科学的最新进展. 科技导报,2008, (07).



[2] 刘慧,成升魁,张雷. 人类经济活动影响碳排放的国际研 究动态. 地理科学进展,2002,21(5):420~428.



[3] Petit J R, Jouzel J, Raynaud D. Climate and atmospheric history of the past 420,000 years from the Vostok ice core, Antarctica. Nature,1999,399:429~436.



[4] 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. 地理科学进展,2004,23 (4):28~34.



[5] Siddiqi T A. 亚洲化石燃料利用所产生的二氧化碳排放: 总的看法. AMBIO(中文版),1996,25(4):228~231.



[6] Siddiqi T A. The Asia financial crisis: Is it good for the global environment? Global Environmental Change, 2000,10:127.



[7] 中华人民共和国气候变化初始国家信息通报. 国家计 划出版社. 北京,2004, 16.



[8] 刘纪远,于贵瑞等. 陆地生态系统碳循环及其机理研究 的地球信息科学方法初探. 地理研究,2003,22(4):397~ 405.



[9] Ang B W. Decomposition analysis for policymaking in energy: What is preferred method? Energy Policy, 2004,32 (9):1131~1139.



[10] Park S H. Decomposition of industrial energy consumption: An alternative method. Energy Economics,1992,14 (4): 265~270.



[11] Schipper L,Howarth R B,Geller H. United States energy use from 1973 to 1987: The impacts of improved efficiency. Annual Review of Energy,1990,15:455~504.



[12] Schipper L,Howarth R B,Carlesarle E. Energy intensity, sectoral activity, and structural change in the Norwegian economy energy. The International Journal,1992,17 (3): 215~233.



[13] Schipper L,Howarth R B,Andersson B. Energy use in Denmark: An international perspective. Natural Resources Forum,1993,17(2):83~103.



[14] Howarth R B. Energy use in U.S. manufacturing: The impacts of the energy shocks on sectoral output, industry structure, and energy intensity. Journal of Energy and Development,1989,14(2):175~191.



[15] Howarth R B,Schipper L. Manufacturing energy use in eight OECD countries: Trends through 1988. Energy Journal,1991,12 (4):15~40.



[16] Howarth R B,Schipper L,Duerr P A, et al. Manufacturing energy use in eight OECD countries. Energy Economics, 1991,13 (2):135~142.



[17] Zhang Zhongxiang. Why did the energy intensity fall in China's industrial sector in the 1990s? The relative importance of structural change and intensity change. Energy Economics,2003,25:625~638.



[18] Boyd G A,Hanson D A,Sterner T. Decomposition of changes in energy intensity: A comparison of the Divisia index and other methods. Energy Economics,1988,10(4): 309~312.



[19] Ang B W,Lee S Y. Decomposition of industrial energy consumption: Some methodological and application issues. Energy Economics,1994,16(2):83~92.



[20] Ang B W,Zhang F Q,Choi K H. Factorizing changes in energy and environmental indicators through decomposition. Energy,1998,23(6):489~495.



[21] Hyun -Sik Chung,Hae -Chun Rhee. A residual -free decomposition of the sources of carbon dioxide emissions: A case of the Korean industries. Energy,2001,26:15~30.



[22] Greening L A. Effects of human behavior on aggregate carbon intensity of personal transportation: Comparison of 10 OECD countries for the period 1970 -1993. Energy Economics,2004,26(1):1~30.



[23] 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. Energy Economics,1998,20 (1):43~65.



[24] Greening L A,Ting M,Davis W B. Decomposition of aggregate carbon intensity for freight: Trends from 10 OECD countries for the period 1971 -1993. Energy Economics,1999,21(4):331~361.



[25] Greening L A,Ting M,Krackler T J. Effects of changes in residential end -uses and behavior on aggregate carbon intensity: Comparison of 10 OECD countries for the period 1970 through 1993. Energy Economics,2001,23 (2):153~ 178.



[26] Bhattacharyya S C,Ussanarassamee A. Decomposition of energy and CO2 intensities of Thai industry between 1981 and 2000. Energy Economics,2004,26 (5):765~781.



[27] Wu L,Kaneko S,Matsuoka S. Dynamics of energy-related CO2 emissions in China during 1980 to 2002: The relative importance of energy supply -side and demand -side effects. Energy Policy,2006,34:3549~3572.



[28] Wang C,Chen J, Zou J. Decomposition of energy-related CO2 emissions in China: 1957 -2000. Energy,2005,30: 73~80.



[29] Liu Lancui,Fan Ying,Wei Yiming. Using LMDI method to analyze the change of China's industrial CO2 emissions

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