期刊文献+

基于乘性结构分解的全部门碳强度影响因素分析

Analysis on carbon intensity influencing factors of all departments based on multiplicative structural decomposition
在线阅读 下载PDF
导出
摘要 基于2017年全国投入产出表,通过乘性结构分解分析法将32个部门的碳强度变化进行分解,分析各最终需求类目对碳强度变化的贡献,以及各部门各影响因素对2007-2017年我国碳强度变化的贡献效应。研究表明,2007-2017年我国总碳强度的变化主要受城镇居民消费、固定资本形成额和出口三类最终需求的影响;投入结构因素对总碳强度的增长起着最为显著的抑制作用;石油、炼焦及核燃料加工业等6个部门对总碳强度的变化贡献最为显著。 On the basis of 2017 input-output table of China,the authors decomposed carbon intensity change of 32 departments through multiplicative structural decomposition method,analyzed contribution of each final demand category to the change of carbon intensity,as well as contribution effects of various influencing factors of each department on China's carbon intensity change from 2007 to 2017.The results showed that the changes of China's total carbon intensity from 2007 to 2017 were mainly dominated by three final demand categories,consumption of urban residents,fixed capital formation and export,the input structure factor had the most significant inhibiting effect on total carbon intensity growth,and the six key departments including petroleum,coking,nuclear fuel processing had the most significant contribution on the total carbon intensity changes.
作者 张曼曼 刘林 Zhang Manman;Liu Lin(School of Economics and Management,Taiyuan University of Technology,Taiyuan,Shanxi 030024,China;School of Economics and Management,Nantong University,Nantong,Jiangsu 226019,China)
出处 《中国煤炭》 2020年第10期22-29,共8页 China Coal
基金 国家自然科学基金项目(71403179) 山西省软科学项目(2017041006-3)。
关键词 碳强度 影响因素 乘性结构分解分析 carbon intensity influencing factor multiplicative structural decomposition analysis
作者简介 张曼曼(1995-),女,湖北随州人,硕士研究生,主要研究方向为经济模型构建与应用,E-mail:zmm9510030101@163.com。
  • 相关文献

参考文献5

二级参考文献37

  • 1龙如银,邵天翔.中国三大经济圈碳生产率差异及影响因素[J].资源科学,2015,37(6):1249-1257. 被引量:29
  • 2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:1995-2004[J].中国人口·资源与环境,2006,16(6):158-161. 被引量:1063
  • 3刘凤朝,潘雄锋,徐国泉.基于结构份额与效率份额的中国能源消费强度研究[J].资源科学,2007,29(4):2-6. 被引量:41
  • 4Parry M L, Canziani O F, Palutikof J P, et al. Climate change 2007: Impacts, adaptation and vulnerability [M]. UK: Cambridge University Press, 2007.
  • 5Wang C, Chen J, Zou J. Decomposition of energy-related CO2 emissions in China: 1957-2000 [J]. Energy, 2005, 30(1): 73-80.
  • 6Wu L, Kaneko S, Matsuoka S. Driving forces behind the stagnancy of China's energy-related CO2 emissions from 1996 to 1999: The relative importance of structural change, intensity change and scale change [J]. Energy Policy, 2005, 33 (3): 319-335.
  • 7Fan Y, Liu L C, Wu G, et al. Using LMDI method to analyze the change of China's industrial CO2 emissions from final fuel use: An empirical analysis [J]. Energy Policy, 2007, 35(11): 5892-5900.
  • 8Fan Y, Liu L C, Wu G, et al. Changes in carbon intensity in China: Empirical findings from 1980-2003 [J]. Ecological economics, 2007, 62 (3/4): 683-691.
  • 9Ang B W, Liu F L. Decomposition analysis for policymaking in energy: Which is the preferred method? [J]. Energy Policy, 2004, 32 (9): 1131-1139.
  • 10WANG C, CHEN J N, ZOU J. Decomposition of energy related CO2 emission in china: 1957- 2000 [J]. Energy, 2005 (30): 73 -83.

共引文献28

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部