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Temporal and spacial dynamics of bioenergy-related CO2 emissions and underlying forces analysis in China

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  • Yang, Jing
  • Song, Kaihui
  • Hou, Jian
  • Zhang, Peidong
  • Wu, Jinhu

Abstract

With increasing attention on energy shortage and global warming, bioenergy is a promising alternative energy to mitigate CO2 emissions. Despite the environmental friendly potential, a certain quantity of bioenergy-related CO2 is still emitted in China. This paper investigates the temporal dynamics of bioenergy-related CO2 emissions in 2000–2010 in China, and explores the underlying influence factors based on logarithmic mean Divisia index (LMDI). Then the core results are verified with a GIS-based approach from a spacial perspective. The results show that four impact factors: emission intensity, energy structure, energy efficiency and economic development have different impacts on bioenergy-related CO2 emissions, of which economic development is the major factor contributing to its increase, while energy efficiency is the major determinant for the decline. Per capita bioenergy-related CO2 emissions in different areas are verified in accordance with either economic development factor or energy efficiency factor to some extent. To achieve the dual purpose of sustainable development and CO2 emissions reduction, this paper provides a practical policy framework for rural bioenergy and economic development.

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  • Yang, Jing & Song, Kaihui & Hou, Jian & Zhang, Peidong & Wu, Jinhu, 2017. "Temporal and spacial dynamics of bioenergy-related CO2 emissions and underlying forces analysis in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1323-1330.
    • Handle: RePEc:eee:rensus:v:70:y:2017:i:c:p:1323-1330
    DOI: 10.1016/j.rser.2016.12.031
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