主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院
论文

中国居民消费碳排放的影响因素及发展路径分析

展开
  • 1. 中央财经大学统计与数学学院, 北京 10081;
    2. 中国科学院科技战略咨询研究院, 北京 100190

收稿日期: 2016-06-30

  修回日期: 2017-01-23

  网络出版日期: 2017-10-16

基金资助

国家重点研发计划项目(2016YFA0602804);国家自然科学基金资助项目(71573248)

Influence Factors VS.Developments of China's Household Carbon Emissions

Expand
  • 1. School of Statistic and Mathematics, Central Universtiy of Finance and Economics, Beijing 100081, China;
    2. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China

Received date: 2016-06-30

  Revised date: 2017-01-23

  Online published: 2017-10-16

摘要

在2030年碳排放"达峰"的减排压力下,中国面向工业领域的转型升级和居民消费领域的低碳化发展迫在眉睫。居民消费作为国内生产总值的重要组成部分,所引发的碳排放有可能成为新一轮碳排放的主要推动力。本文以居民消费碳排放为研究对象,利用非竞争型投入产出分析法(NCIOA)测算了中国1995-2009年居民消费碳排放量,采用结构分解分析模型(SDA模型)对碳排放量变动的影响因素进行分析,并考察2007年全民减排政策的实施效果,进一步通过回归方程预测到2030年我国居民消费碳排放的发展路径。实证研究表明,考察期内虽然中国居民消费引致的碳排放量总体呈现显著的上升趋势,但从结构和影响因素的维度来看中国居民消费仍在走低碳发展道路。特别是本文着重分析了2007年居民低碳政策的实施效果,表明全民减排政策并非失效,具体表现为碳排放强度、技术、消费结构、人口都在向减排方向发展,其中人均消费规模是居民消费引致的碳排放增长的关键性因素,说明中国减排工作并没有以牺牲居民需求为代价,是特殊的经济和消费发展阶段的所必然的低碳发展道路。

本文引用格式

王会娟, 夏炎 . 中国居民消费碳排放的影响因素及发展路径分析[J]. 中国管理科学, 2017 , 25(8) : 1 -10 . DOI: 10.16381/j.cnki.issn1003-207x.2017.08.001

Abstract

Due to the pressure of "carbon emission peak" target in 2030, it's extremely urged to industrial transform and upgrade and residential low carbon development. As a vital component in gross domestic product, household consumption will cause carbon emission that can give impetus to new round carbon emission in the future. Based on the international input-output tables, carbon emission of Chinese household consumption in 1995-2009 is calculated by using the method of non-competitive input-output analysis. Secondly, by using structural decomposition model, the influencing factors of carbon emission variation are analyzed and the effect of national emission reduction policy in 2007 is investigated. Furthermore, how consumption carbon emissions should develop until 2030 is forecasted by using regression model. Empirical results show that even though the carbon emission of household consumption causes a remarkable increasing trend on total national carbon emission during the study period, it still on the way of low carbon emission development under structural and factors influencing perspective. Especially, though analyzing the implementation effect of low carbon policy in 2007, it is found find that the policy doesn't fail to reduce emissions, it leads the carbon intensity, technology, consumption structure and popularity to an emission reduction way. Also, consumption scale per capita is the critical factor in carbon emission increasing which caused by household consumption. In conclusion, our emission reduction efforts do not decrease at the expense of residents' demand, which is necessary for our low carbon development during the special economy and consumption development phase.

参考文献

[1] World Input-Output Database. WIOD data,2013 release[EB/OL].[2013-11].http://www.wiod.org/new_site/data.htm.

[2] 樊纲,苏铭,曹静. 最终消费与碳减排责任的经济学分析[J]. 经济研究,2010,(1):4-13.

[3] 彭水军,张文城,孙传旺. 中国生产侧和消费侧碳排放量测算及影响因素研究[J]. 经济研究,2015,(1):168-182.

[4] Zhang Xiaoling, Luo Lizi, Skitmore M. Household carbon emission reserach:An analytical review of measurement, influencing factors and mitigation prospects[J]. Journal of Cleaner Production, 2015, 103:873-883.

[5] Dai Hancheng, Masui T, Matsuoka Y, et al. The impacts of China's household consumption expenditure patterns on energy demand and carbon emissions towards 2050[J]. Energy Policy, 2012, 50(11):736-750.

[6] Qu Jiansheng, Maraseni T, Liu Lina, et al. A comparison of household carbon emission patterns of urban and rural China over the 17 year period(1995-2011)[J]. Energy, 2015, 8(9):10537-10557.

[7] Nissinen A, Gronroos J, Heiskanen E,et al. Developing benchmarks for consumer-oriented life cycle assessment-based environmental information on products, services and consumption patterns[J]. Journal of Cleaner Production, 2007, 15(6):538-549.

[8] International Organization for Standard(ISO). Environmental management-Life cycle assessment:Principles and framework[R]. International Organization for Standardation. 1998.

[9] Finnveden G, Hauschild M Z, Ekvall T, et al. Recent developments in Life Cycle Assessment[J]. Journal of Environmental Management, 2009, 91(1):1-21.

[10] 李伯华,刘云鹏,窦银娣. 旅游风景区旅游交通系统碳足迹评估及影响因素分析-以南岳衡山为例[J]. 资源科学,2012,34(5):956-963.

[11] Rajaeifar M A, Ghobadian B, Safa M, et al. Energy life-cycle assessment and CO2 emissions analysis of soybean-based biodiesel:A case study[J]. Journal of Cleaner Production, 2014, 66:233-241.

[12] Azarijafari H, Yahia A, Amor M B. Life cycle assessment of pavements:Reviewing research challenges and opportunities[J]. Journal of Cleaner Production, 2016, 112:2187-2197.

[13] Arena N, Lee J, Clift R. Life cycle assessment of activated carbon production from coconut shells[J]. Journal of Cleaner Production, 2016, 125(1):68-77.

[14] Bin Shui, Dowlatabadi H. Consumer lifestyle approach to US energy use and the related CO2 emissions[J]. Energy Policy, 2005, 33(2):197-208.

[15] Feng Zhenghua, Zou Lele, Wei Yiming. The impact of household consumption on energy use and CO2 emissions in China[J]. Energy, 2011, 36(1):656-670

[16] 范玲,汪东. 我国居民间接能源消费碳排放的测算及分解分析[J]. 生态经济,2014,30(7):28-32.

[17] Xu Xinkuo, Han Liyan, Lv Xiaofeng. Household carbon inequality in urban China, its sources and determinants[J]. Ecological Economics, 2016, 128:77-86.

[18] Leontief W. Environmental repercussions and the economic structure:An input-output approach[J]. Review of Economics and Statistics, 1974,56(1):109-110.

[19] 李根,刘家国,赵金楼. 基于投入产出非线性的制造业完全能耗强度情景分析[J]. 中国管理科学,2016,24(3):31-40.

[20] 赵忠秀,裴建锁,闫云凤. 贸易增长、国际生产分割与CO2排放核算:产业VS.产品[J]. 中国管理科学,2014,23(12):11-17.

[21] 周平,王黎明. 中国居民最终需求的碳排放测算[J]. 统计研究,2011,28(7):71-78.

[22] 黄敏. 中国消费碳排放的测度及影响因素研究[J]. 财贸经济,2012,(3):129-135.

[23] Xu Yan, Dietzenbacher E. A strutural decomposition analysis of the emissions embodied in trade[J]. Ecological Economics, 2014, 101:10-20.

[24] Zhang Yuejun, Bian Xiaojuan, Tan Weiping, et al. The indirect energy consumption and CO2 emission caused by household consumption in China:An analysis based on the input-output method[J]. Journal of Cleaner Production, 2015:1-15.

[25] Su Bin, Ang B W. Input-output analysis of CO2 emissions embodied in trade:Competitive versus non-competitive imports[J]. Energy Policy, 2013, 56(5):83-87.

[26] Dietzenbacher E, Los B, Stehrer R, et al. The construction of world input-output tables in the WIOD project[J]. Economic Systems Research, 2013, 25(1):71-98.

[27] Voigt S, De Cian E, Schymura M, et al. Energy intensity developments in 40 major economies:Structural change or technology improvement?[J]. Energy Economics, 2014, 41(1):47-62.

[28] Andreoni V, Galmarini S. Drivers in CO2 emissions variation:A decomposition analysis for 33 world countries[J]. Energy, 2016, 103:27-37.

[29] Hoekstra R, van der Bergh J J C J M. Comparing structural and index decomposition analysis[J]. Energy Economics, 2003, (25):39-64.

[30] Xu Ming, Li Ran, Crittenden J C, et al. CO2 emissions embodied in China's exports from 2002 to 2008:A structural decomposition analysis[J]. Energy Policy, 2011, 39(11):7381-7388.

[31] Su Bin, Ang B W. Structural decomposition analysis applied to energy and emissions:Some methodological developments[J]. Energy Economics, 2012, 34(1):177-188.

[32] 蒋雪梅,刘轶芳. 全球贸易隐含碳排放格局的变动及其影响因素[J]. 统计研究,2013,30(9):29-36.

[33] Li Duoqi, Wang Duanyi. Decomposition analysis of energy consumption for an freeway during its operation period:A case study for Guangdong, China[J]. Energy, 2016, 97:296-305.

[34] Dietzenbacher E,Bart L. Structural decomposition analyses with dependent determinants[J]. Economic Systems Research, 2000, 12(4):497-511.

[35] de Boer P. Additive structural decomposition analysis and index number theory:An empirical application of the montgomery decomposition[J]. Economic Systems Research, 2008, 20(1):97-109.

[36] 易富贤,苏剑. 从单独二孩实践看生育意愿和人口政策-2015-2080年中国人口形势展望[J].中国发展观察,2014,(12):60-76.
文章导航

/