期刊文献+

Decomposition of Energy-related CO_2 Emissions from Shanghai's Industries and Policy Implications

Decomposition of Energy-related CO_2 Emissions from Shanghai's Industries and Policy Implications
下载PDF
导出
摘要 This paper quantifies a decomposition analysis of energy-related CO2 emissions in the industrial sectors of Shanghai over the period 1994-2007.The Log-Mean Divisia Index(LMDI) method is applied to this study in terms of six factors:labor force,labor mobility,gross labor productivity,energy intensity,fuel mix,and emission coefficient.In addition,the decoupling effect between industrial economic growth and CO2 emissions is analyzed to evaluate CO2 mitigation strategies for Shanghai.The results show that all labor productivity has the largest positive effect on CO2 emission changes in the industrial sectors,whereas labor mobility and energy intensity are the main components for decreasing CO2 emissions.Other factors have different effects on CO2 mitigation in different sub-periods.Although a relative decoupling of industrial CO2 emissions from the economic growth in Shanghai has been found,Shanghai should keep pace with the industrial CO2 emissions reduction by implementing low-carbon technology.These results have important policy implications:Plan C is the reasonable choice for Shanghai. This paper quantifies a decomposition analysis of energy-related CO2 emissions in the industrial sectors of Shanghai over the period 1994-2007.The Log-Mean Divisia Index (LMDI) method is applied to this study in terms of six factors: labor force, labor mobility, gross labor productivity, energy intensity, fuel mix, and emission coefficient. In addition, the decoupling effect be- tween industrial economic growth and CO2 emissions is analyzed to evaluate CO2 mitigation strategies for Shanghai. The results show that all labor productivity has the largest positive effect on CO2 emission changes in the industrial sectors, whereas labor mo- bility and energy intensity are the main components for decreasing CO2 emissions. Other factors have different effects on CO2 mitiga- tion in different sub-periods. Although a relative decoupling of industrial CO2 emissions from the economic growth in Shanghai has been found, Shanghai should keep pace with the industrial CO2 emissions reduction by implementing low-carbon technology. These results have important policy implications: Plan C is the reasonable choice for Shanghai.
出处 《Chinese Journal of Population,Resources and Environment》 2012年第3期40-46,共7页 中国人口·资源与环境(英文版)
基金 the National Natural Science Foundation of China(Grant No.71173157) the State Key Program of the National Social Science Foundation of Ching (Grant No.11AZD102)
关键词 二氧化碳排放量 能源强度 上海 分解 工业部门 劳动生产率 CO2减排 产业 industrial CO2 emissions, LMDI, decoupling, Shang-hai
  • 相关文献

参考文献19

  • 1Agnolucci P, Ekins P, Iacopini G, et al., 2009. Different scenarios for achieving radical reduction in carbon emissions: a decomposition analysis. Ecological Economics, 68:1652-1666.
  • 2Ang B W, Zhang F Q, Choi K H, 1998. Factorizing changes in energy and environmental indicators through decomposition. Energy, 23:489~-95.
  • 3Ang B W, Liu N, 2007. Handling zero values in the logarithmic mean divisia index decomposition approach. Energy Policy, 35: 238- 246.
  • 4Ang B W, Zhang F Q, 2000. A survey of index decomposition analysis in energy and environmental analysis. Energy, 25:1149-1176.
  • 5Dhakal S, 2009. Urban energy use and Cities' COz emissions in China and policy implications. Energy Policy, 2009(37): 4208-4219.
  • 6| Hoekstra R, Van Den Bergh J C J M, 2003. Comparing structural an(] / index decomposition analysis. Energy Economics, 25:39-64.
  • 7IPCC, 1995. Greenhouse Gas Inventory: IPCC Guidelines for Nation- al Greenhouse Gas Inventories. United Kingdom Meteorological Office, Bracknell, England.
  • 8Li L, Chen CH, Xie S C, et al., 2009. Energy demand and carbon emissions under different development scenarios for Shanghai, China.Energy Policy, 38(9):4797-4807.
  • 9Liu L C, Fan Y, Wu G, et al., 2007. Using LMDI method to analyze the change of China's industrial CO2 emissions from final fuel use: an empirical analysis. Energy Policy, 35:5892-5900.
  • 10Lu I J, Lin S J, Lewis C, 2007. Decomposition and decoupling effects of carbon dioxide emission from highway transportation in Tai- wan, Germany, Japan and South Korea. Energy Policy, 35: 3226- 3235.

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