How to optimize the development of carbon trading in China—Enlightenment from evolution rules of the EU carbon price. (1st February 2018)
- Record Type:
- Journal Article
- Title:
- How to optimize the development of carbon trading in China—Enlightenment from evolution rules of the EU carbon price. (1st February 2018)
- Main Title:
- How to optimize the development of carbon trading in China—Enlightenment from evolution rules of the EU carbon price
- Authors:
- Fang, Guochang
Tian, Lixin
Liu, Menghe
Fu, Min
Sun, Mei - Abstract:
- Highlights: Use nonlinear dynamics theory to model the ESER system with carbon price constraints. Carbon price is closely related to demand and supply relationship. Excessive government control will deliver opposite even fatal effect on ESER system. The optimal road of carbon trading in China is put forward based on EU's experience. Abstract: This paper explores the optimization scheme of carbon trading in China based on a novel energy-saving and emission-reduction (ESER) system with carbon price constraints. With the aid of nonlinear dynamics theory, the dynamics behavior of the novel system is discussed. Genetic algorithm and back propagation neural network is used to identify the quantitative coefficients according to the statistical data of the second period in European Union (EU). Taking the actual situation in EU for instance, the variables which are sensitive to carbon trading are detailedly researched. Enlightened by the EU's experience, an optimal road of China ' s carbon trading is put forward. The results show that carbon emissions could be controlled by carbon trading. The investment to carbon trading hampers economic growth in the near future, and ESER technical progress is negatively correlated with carbon trading in the long run. Demand and supply relationship is closely related to carbon price, both are the important issues in carbon trading system. Excessive government control and extortionate carbon price will deliver the opposite effect and even fatalHighlights: Use nonlinear dynamics theory to model the ESER system with carbon price constraints. Carbon price is closely related to demand and supply relationship. Excessive government control will deliver opposite even fatal effect on ESER system. The optimal road of carbon trading in China is put forward based on EU's experience. Abstract: This paper explores the optimization scheme of carbon trading in China based on a novel energy-saving and emission-reduction (ESER) system with carbon price constraints. With the aid of nonlinear dynamics theory, the dynamics behavior of the novel system is discussed. Genetic algorithm and back propagation neural network is used to identify the quantitative coefficients according to the statistical data of the second period in European Union (EU). Taking the actual situation in EU for instance, the variables which are sensitive to carbon trading are detailedly researched. Enlightened by the EU's experience, an optimal road of China ' s carbon trading is put forward. The results show that carbon emissions could be controlled by carbon trading. The investment to carbon trading hampers economic growth in the near future, and ESER technical progress is negatively correlated with carbon trading in the long run. Demand and supply relationship is closely related to carbon price, both are the important issues in carbon trading system. Excessive government control and extortionate carbon price will deliver the opposite effect and even fatal influence on carbon trading system. … (more)
- Is Part Of:
- Applied energy. Volume 211(2018)
- Journal:
- Applied energy
- Issue:
- Volume 211(2018)
- Issue Display:
- Volume 211, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 211
- Issue:
- 2018
- Issue Sort Value:
- 2018-0211-2018-0000
- Page Start:
- 1039
- Page End:
- 1049
- Publication Date:
- 2018-02-01
- Subjects:
- Carbon price -- Energy-saving and emission-reduction -- Energy intensity -- Economic growth
Power (Mechanics) -- Periodicals
Energy conservation -- Periodicals
Energy conversion -- Periodicals
621.042 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03062619 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apenergy.2017.12.001 ↗
- Languages:
- English
- ISSNs:
- 0306-2619
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.300000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23133.xml