RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2014, Vol. 23 >> Issue (11): 1526-.doi: 10.11870/cjlyzyyhj201411006

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ANALYSIS OF CARBON EMISSION STATUS IN CHINA

DONG Feng, XU Xihui, LONG Ruyin, HAN Yu   

  1. (School of Management, China University of Mining and Technology, Xuzhou 221116, China)
  • Online:2014-11-20

Abstract:

We employed the Theil index in a comparative analysis of regional carbon emission intensity based on carbon emissions, per capita carbon emissions and carbon intensity concerning various regions in China from 1997 to 2010, followed by an interregional comparison based on variation coefficient and a Ginibased analysis of regional carbon emission fairness. A comprehensive study on how Chinas regions differ in carbon emission was conducted at macro, medium, and micro levels. Next, a cluster approach was adopted and the 29 provinces were grouped in accordance with total carbon emission volume of each. From 1997 to 2010 carbon emissions and per capita carbon emissions grew gradually in Eastern China, Central China and Western China. The carbon emissions of Eastern China were larger than that of Central China, and that of Central China were larger than Western China. However, Western China intends to catch up with Central China in this respect. The situation of per capita carbon emissions is identical to carbon emissions. Eastern China, Central China, and Western China were ranked the first, the second, and the third in the percapita carbon emissions, whereas in 2009, the ranking changed to be Eastern China, Western China, and Central China. In addition, the percapita carbon emissions in Western China exceeded those of Central China in 2009. The carbon intensity of Eastern China was much lower than that of Central China and Western China, while Central China was close to Western China. There appeard a downward trend of the carbon intensity. As the Theil index showed, the Chinawide carbon emission intensity is characterized by regional diversity, which mainly results from the gap existing inside a region. Interregional differences are the secondary causes, of which Eastern China and Central China contributes more greatly to the overall differences, with a contribution rate of nearly 25%. Whereas the contribution rate of Western China is relatively low. The variation coefficients indicate that Eastern China ranked the first but Central China the last in carbon emission volume, Western China the first but Eastern China the last in per capita carbon emissions, and Central China the first but Eastern China the last in carbon emission intensity. As the calculation result shows, the Gini coefficient is 0154 3 in Eastern China, 0249 2 in Central China, 0315 2 in Western China, and 0244 6 in the whole nation. Among them, Western China has the highest Gini coefficient, followed by Central China and Eastern China in sequence. Gini coefficient demonstrates that Central China is in the first place and Eastern China in the last with respect to carbon emission diversity, of which the differences inside Inner Mongolia, Ningxia, Shanxi, Guangxi contribute greatly to the diversity of the regions they are related to. Furthermore, the cluster analysis classifies all provinces into four levels of excellent, good, moderate, and poor. Cluster analysis demonstrates that Hainan and Qinghai are excellent in carbon emission situation; 18 provinces represented by Beijing, Tianjin and Jilin are graded as good; other 8 provinces represented by Hebei and Shanxi are proved as moderate; only Shandong belongs to poor region in carbon emission situation. Finally, the authors suggest formulation of diverse objectives and strategies aimed at emission reduction

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