• DocumentCode
    3447519
  • Title

    Study for the carbon emission influencing factors of Henan province based on LMDI model

  • Author

    Xi Wang ; Yaochen Qin ; Xiangya Jiang ; Yanfang Sun

  • Author_Institution
    Key Lab. of Geospatial Technol. for the Middle & Lower Yellow River Regions, Kaifeng, China
  • fYear
    2013
  • fDate
    20-22 June 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Carbon emissions are the most direct and effective indicators to measure the level of low-carbon economy development. The influencing factors of carbon emissions can be decomposed into carbon emissions intensity effects, industrial structure effects, economic development effects, and population growth effects. This study based on the LMDI model, the factors which affected the carbon emissions changes of Henan province, was decomposed from 1990 to 2010. The results show that it is still at a relatively high carbon development stage in Henan Province, the pressure to realize low-carbon development is comparatively large. The direction and strength of the carbon emissions influencing factors were relatively largely different and in continuous dynamic changes. On the whole, the economic development is the main factor to promote the growth of carbon emissions and has contributed the most to the carbon emissions growth; Population growth also played a certain role in promoting the growth of carbon emissions, but is relatively limited. Carbon emission intensity changes are the main factors that inhibit the growth of carbon emissions and play the most significant role in reducing carbon emissions. The adjustment of industrial structure has limited effects on carbon emissions. It is the most effective way to realize low-carbon development, such as changing the energy structure, improving the industrial structure, and thereby reducing the carbon emissions.
  • Keywords
    carbon; emission; environmental science computing; Henan province; LMDI model; carbon emissions intensity effects; economic development effects; industrial structure effects; influencing factors; logarithmic mean disivia index; low-carbon economy development; population growth effects; Carbon dioxide; Economic indicators; Energy consumption; Industries; Sociology; Statistics; Henan Province; Logarithmic Mean Disivia Index (LMDI) model; carbon emissions; influencing factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
  • Conference_Location
    Kaifeng
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/Geoinformatics.2013.6626186
  • Filename
    6626186