Energy-dominated carbon metabolism: A case study of Hubei province, China

Q. Yang, Shan Guo, W. H. Yuan, Qiping Shen, Y. Q. Chen, X. H. Wang, T. H. Wu, Zhan Ming Chen, Ahmed Alsaedi, Tasawar Hayat

Research output: Journal article publicationJournal articleAcademic researchpeer-review

25 Citations (Scopus)


As the largest CO2emitter, China sets regional CO2emission intensity reduction targets to distribute the tremendous emission reduction pressure. Therefore, a deep understanding of China's regional CO2metabolism, especially emission level is essential for achieving the emission mitigation target. From the production versus consumption perspectives, this paper uses Hubei as a case study to establish a concrete direct energy-dominated CO2metabolism inventory in 2002, 2005 and 2007, and further estimate CO2metabolism embodied in consumption and trade based on a system ecological input-output analysis. The comparison of production- and consumption-based CO2metabolism depicts a huge difference: the consumption-based CO2emissions are just 31.02%, 24.77% and 31.04% of the production-based CO2emissions in 2002, 2005 and 2007, which demonstrates that Hubei needs to share responsibilities both as a producer and a consumer, focusing not only on the improvement of production technology and energy efficiency but also on the adjustment of economic system structure and trade policies avoiding carbon leakage. Analysis of historical tendency presents that production- and consumption-based CO2metabolism of 2002-2005-2007 both experience an increasing trend, while the average embodied intensity of these three years shows a decreasing trend. In terms of trade balance, Hubei is a net CO2exporter of 0.36E+07t, 0.08E+07t and 1.11E+07t CO2in 2002, 2005 and 2007.
Original languageEnglish
Pages (from-to)85-92
Number of pages8
JournalEcological Informatics
Issue numberP1
Publication statusPublished - 1 Mar 2015


  • Carbon metabolism
  • Ecological input-output analysis
  • Hubei
  • Production versus consumption

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology
  • Modelling and Simulation
  • Ecological Modelling
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Applied Mathematics


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