Resources Science ›› 2016, Vol. 38 ›› Issue (2): 255-264.doi: 10.18402/resci.2016.02.08

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Petroleum terminal utilization carbon emissions in China based on regional differences

GU Mengchen1,2(), WANG Limao2()   

  1. 1.School of Economics,Renmin University,Beijing 100872,China
    2. Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Science,Beijing 100101,China
  • Received:2015-04-10 Revised:2015-09-15 Online:2016-02-01 Published:2016-02-01


There are differences in CO2 emissions resulting from petroleum terminal utilization consumption among regions in China. This paper investigated a proper method to measure CO2 emissions from petroleum terminal utilization consumption in China using data from 30 provinces. To study carbon emission spatial distribution features we used the Moran’I model and found that the emissions intensity of China's petroleum terminal utilization showed universal positive spatial correlation; specifically,spatial correlation based and partial spatial discontinuity/mutation supplemented. It turns out that northeast and northwest regions were the main areas of high emission intensity,the western region had relatively high emission intensity as a whole,and the mid-eastern region had relatively low emission intensity. Shandong,Henan,Anhui,Jiangsu,Hubei and Jiangxi in eastern and central China were clusters of low CO2 emission intensity,surrounding provinces also showed low CO2 emission intensity. However,Jilin was in the CO2 emission intensity depression,and looking forward,Jilin could serve as a model for surrounding provinces such as Heilongjiang,Liaoning,and Inner Mongolia which mostly have a high CO2 emission intensity. The emission intensity had positive and strong relations with economic development level,energy conditions and industrial structures in these provinces. Therefore,to develop regional carbon emission reduction policy,governments should develop demission policy with regional subdivision and fully consider the practical situation of each province. Governments should also develop an overall plan to coordinate and promote the optimization of industry structure and energy structure.

Key words: petroleum terminal utilization, carbon emission, regional difference, influence factors, China