An agent-based modeling approach for analyzing the influence of market participants' strategic behavior on green certificate trading. (1st March 2021)
- Record Type:
- Journal Article
- Title:
- An agent-based modeling approach for analyzing the influence of market participants' strategic behavior on green certificate trading. (1st March 2021)
- Main Title:
- An agent-based modeling approach for analyzing the influence of market participants' strategic behavior on green certificate trading
- Authors:
- Hui, Wang
Xin-gang, Zhao
Ling-zhi, Ren
Fan, Lu - Abstract:
- Abstract: China has announced that the mandatory green certificate trading would be implemented in 2021. The mandatory green certificate trading not only fosters the liquidity of the green certificate market but also induces the possibility of market participants taking strategic behavior to gain more market returns. Generally, the self-interested strategic behavior was not conducive to improving market efficiency, thereby impeding the implementation of mandatory green certificate trading. To evaluate the influence of market participants' strategic behavior on the green certificate trading, we embed the strategic behavior model into the artificial green certificate market to simulate the market participants' strategic behavior in green certificate trading. The results indicate: (1) in green certificate market, the strength of the herd effect determines the average compliance costs level; (2) the value-trading strategy is the optimal strategy for renewable obligation subjects to reduce the compliance costs of mandatory green certificate trading; (3) market participants' strategic behavior mainly affect the stability of green certificate price, and the greater the price fluctuation, the slower convergence speed to the equilibrium price. Highlights: A strategic behavior model is embedded into artificial green certificate market. Herd effect of among the market participants is studied. The influence of market participants' strategic behavior on green certificate trading isAbstract: China has announced that the mandatory green certificate trading would be implemented in 2021. The mandatory green certificate trading not only fosters the liquidity of the green certificate market but also induces the possibility of market participants taking strategic behavior to gain more market returns. Generally, the self-interested strategic behavior was not conducive to improving market efficiency, thereby impeding the implementation of mandatory green certificate trading. To evaluate the influence of market participants' strategic behavior on the green certificate trading, we embed the strategic behavior model into the artificial green certificate market to simulate the market participants' strategic behavior in green certificate trading. The results indicate: (1) in green certificate market, the strength of the herd effect determines the average compliance costs level; (2) the value-trading strategy is the optimal strategy for renewable obligation subjects to reduce the compliance costs of mandatory green certificate trading; (3) market participants' strategic behavior mainly affect the stability of green certificate price, and the greater the price fluctuation, the slower convergence speed to the equilibrium price. Highlights: A strategic behavior model is embedded into artificial green certificate market. Herd effect of among the market participants is studied. The influence of market participants' strategic behavior on green certificate trading is analyzed. … (more)
- Is Part Of:
- Energy. Volume 218(2021)
- Journal:
- Energy
- Issue:
- Volume 218(2021)
- Issue Display:
- Volume 218, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 218
- Issue:
- 2021
- Issue Sort Value:
- 2021-0218-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-03-01
- Subjects:
- Renewable portfolio standards -- Green certificate trading -- Strategic behavior -- Herd effect -- Agent-based modeling
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2020.119463 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15488.xml