• DocumentCode
    2461531
  • Title

    An analysis on energy utilization in China based on NRCA model

  • Author

    Tang, Jinhua ; Wu, Yongxing ; Liu, Chengwu

  • Author_Institution
    Sch. of Resources & Environ. Sci., East China Normal Univ., Shanghai, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    4748
  • Lastpage
    4751
  • Abstract
    As to the data of energy utilization in 30 Provinces of China since 1985 and the comparative advantage principle (CAI), the scale advantage indices (SAI) and benefit advantage indices (BAI) were calculated with the normalized revealed comparative advantage index (NRCA) model. The 30 Provinces were clustered by the comparative advantage value, and the temporal-spatial difference was analyzed, and we find that the driving factors which brought on the fluctuation of the comparative advantage index of productive energy utilization, were population, energy resource, economic development level as well as energy utilization benefit; and that of residential water was urbanization level. The results showed that the superiority regions of agricultural production energy-using were in Sichuan, Hubei, Anhui, Guangxi, Yunnan, Hainan and Jilin etc; the superiority regions of industrial production energy-using were in Hebei, Shanxi, Henan and Jiangsu etc; and the superiority regions of building energy utilization were in Heilongjiang, Henan and Jiangxi etc, and the superiority regions of tertiary industrial production energy-using were in the eastern part and the middle reaches area of the Yangtze River. The results show the feasibility of NRCA method in energy resources advantage assessment.
  • Keywords
    energy resources; environmental economics; China; NRCA model; agricultural production energy; benefit advantage index; comparative advantage principle; comparative advantage value; economic development level; energy resource index; energy utilization; industrial production energy; normalized revealed comparative advantage index model; population index; scale advantage index; temporal-spatial difference; urbanization level; Analytical models; Computer aided instruction; Economic indicators; Educational institutions; Energy resources; Production; China; NRCA; comparative advantage; energy utilization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5965376
  • Filename
    5965376