Low-Carbon Economic Structure Evolution for Sustainable Development of Western China

  • Yanfei Deng
  • Lei Xu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 242)


With economic development and the change of economical structure, structural evolution of economical system is an inevitable trend especially in low-carbon environment. This paper study the economical structure considering the environment, economic and social requirements in order to implement low-carbon development combining multi objective planning techniques, chance-constrained model under fuzzy random environment. Then setting energy-saving, economic growth, and laborer’s employment as the goals. After comparing the simulation result of three different schemes, we conclude that the type of economical structure directly determine carbon dioxide emissions. It will significantly reduce the energy consumption and environmental pollution through adjusting the economic structure using our model. Finally, we proposed policy recommendations according to the situation based on the research results of our model.


Industrial economic system Regional economics Low-carbon Developing country Sustainable development 


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This research is supported by the Key Program of NSFC (Grant No. 708330-05), Chinese Universities Scientific Fund (Grant No. 2010SCU22009) and the Key Project of Philosophy and Social Sciences Research, Ministry of Education of China (Grant No. 08JHQ0002) The authors would like to thank the anonymous referees for their insightful comments and suggestions to improve this paper, as well as Uncertainty Decision-Making Laboratory and low carbon Technology and Economy Research Center of Sichuan University for helpful comments and discussion.


  1. 1.
    Costanza R, Ruth M (1998) Using dynamic modeling to scope environmental problems and build consensus. Environmenal Management 22(2):183–195Google Scholar
  2. 2.
    Chenery HB (1961) Capital-labor substitution and economic efficiency. The Review of Economics and Statistics 43(3):225–250Google Scholar
  3. 3.
    Barton DC (2004) Simulation economic effects of disruptions in the telecommunications. Sandia ReportGoogle Scholar
  4. 4.
    Japan Environmental Council (2003) The state of the environment in Asia, 2002–2003Google Scholar
  5. 5.
    Xu J, Dong R, Wu D (2009) On simulation and optimization of one natural gas industry system under the rough environment. Expert Systems with Applications 37(3):1854–1862Google Scholar
  6. 6.
    Xu J, Li X, Wu D (2009) Optimizing circular economy planning and risk analysis using system dynamics. Human and Ecological Risk Assessment 15(2):316–331Google Scholar
  7. 7.
    Gonchijany KC (1987) Economic progress conditions. Toyan Economic New Newspaper PressGoogle Scholar
  8. 8.
    Martinez P, Ines C (2010) Energy ues and energy efficiency development in the German and Colombian textile industries. Energy for Sustainable Development 14(2):94–103Google Scholar
  9. 9.
    Kenzheguzin MB, Yessekina BK (2004) Methodological basis of forecasting of sustainable development of economic system. Mathematics and Computers in Simulation 67(4):343–349Google Scholar
  10. 10.
    Peter O, Somporn K, Rajah R (2006) The “greening” of industry and development in southeast asia: Perspectives on industtrial transformation and environmental regulation introduction. Environment. Development and Sustainability 8(2):217–227Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Uncertain Decision-Making LaboratorySichuan UniversityChengduPeople’s Republic of China
  2. 2.School of Economics and TradeXihua UniversityChengduPeople’s Republic of China

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