4.7 Article

Regional disparities and influencing factors of Average CO2 Emissions from transportation industry in Yangtze River Economic Belt

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trd.2017.09.005

关键词

Yangtze River Economic Belt; Transportation industry; Average CO2 Emissions; Regional disparities; Theil index; Influencing factors; LMDI

资金

  1. National Social Science Foundation of China [12BJL082]
  2. Soft Science Research Project of China's Ministry of Transport [2015322811270]

向作者/读者索取更多资源

Transportation industry is an important source of CO2 emissions, and has become the third largest energy consuming industry in China. Most existing researches studied regional disparities and influencing factors of Total CO2 Emissions from transportation industry, while limited researches studied the average amount specially. Based on the relevant data of Yangtze River Economic Belt from 2005 to 2014, Theil index was utilized to measure the regional disparities of Average CO2 Emissions from three aspects: CO2 emissions per capita (CEPC), CO2 emissions intensity (CEI) and CO2 emissions per converted transportation turnover (CEPT). Combining with extended Kaya identity, LMDI decomposition method was applied to analyze the influencing factors of CEPC, CEI and CEPT respectively. The empirical results indicate that regional disparities of CEPC, CEI and CEPT do exist and they are on downtrend after 2011. Regional disparity of CEPC is more significant than CEI and CEPT. Energy structure and energy intensity contribute to increasing CEPC and decreasing CEI and CEPT. Added-value per converted transportation turnover has positive effect on increasing CEPC and decreasing CEPT. Transportation intensity inhibits increasing CEPC, while economic level plays the most important positive role in increasing CEPC. The findings implicate that governments should transform the economic development mode, optimize the energy structure, improve transportation efficiency and develop differential policies according to practical situations.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据