4.7 Article

The improvement of CO2 emission reduction policies based on system dynamics method in traditional industrial region with large CO2 emission

Journal

ENERGY POLICY
Volume 51, Issue -, Pages 683-695

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.enpol.2012.09.014

Keywords

Traditional industrial regions; CO2 emission; Improvement recommendations

Funding

  1. State Basic Science and Technology Key Project of China [2007FY110300]
  2. research on the choice and management of the development path of urbanization in our country [71133003/G031302]
  3. National Natural Science Foundation [41101117]
  4. Micro-scale research on stimulation and optimal regulation of carbon emission process in typical function area of metropolis [41271186]

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Some traditional industrial regions are characterized by high industrial proportion and large CO2 emission. They are facing dual pressures of maintaining economic growth and largely reducing CO2 emission. From the perspective of study of typological region, taking the typical traditional industrial region-Liaoning Province of China as a case, this study establishes a system dynamics model named EECP and dynamically simulates CO2 emission trends under different conditions. Simulation results indicate, compared to the condition without CO2 emission reduction policies, CO2 emission intensity under the condition of implementing CO2 emission reduction policies of Twelfth Five-Year Plan is decreased by 11% from 2009 to 2030, but the economic cost is high, making the policies implementation faces resistance. Then some improved policies are offered and proved by EECP model that they can reduce CO2 emission intensity after 2021 and decrease the negative influence to GDP, realizing the improvement objects of reducing CO2 emission and simultaneously keeping a higher economy growth speed. The improved policies can provide reference for making and improving CO2 emission reduction policies in other traditional industrial regions with large CO2 emission. Simultaneously. EECP model can provide decision-makers with reference and help for similar study of energy policy. (C) 2012 Elsevier Ltd. All rights reserved.

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