Agent based modeling of energy consuming rights trading for low carbon transformation in China
Abstract The market-oriented allocation of Energy-Consuming Rights allows enterprises to trade legally obtained energy consumption quotas on public platforms within regional caps, improving energy efficiency and promoting sustainable development. As an institutional innovation, Energy-consuming righ...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-10838-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849332661985738752 |
|---|---|
| author | Feng Han Xin Li Xiaohan Bi Jie Gao Zihao Cao Dong Yang Feng Shi Yongfei Jia |
| author_facet | Feng Han Xin Li Xiaohan Bi Jie Gao Zihao Cao Dong Yang Feng Shi Yongfei Jia |
| author_sort | Feng Han |
| collection | DOAJ |
| description | Abstract The market-oriented allocation of Energy-Consuming Rights allows enterprises to trade legally obtained energy consumption quotas on public platforms within regional caps, improving energy efficiency and promoting sustainable development. As an institutional innovation, Energy-consuming rights trading (ECRT) addresses China’s energy and environmental challenges while fostering green transformation. This study employs agent-based modeling to simulate the dynamic interactions among enterprises, governments, and trading platforms under dual constraints of energy consumption and carbon emissions. The results show that: (1) ECRT reduces total energy consumption by 8.1% and carbon emissions by 9.8% compared to regions without trading markets, demonstrating its effectiveness in energy conservation and emission reduction. (2) Paid quotas outperform free quotas, reducing energy consumption by 7.9% and carbon emissions by 6.8%, while stabilizing trading prices and enhancing market activity. (3) High-quality development scenarios improve energy efficiency by 4.4% and reduce carbon emissions by 5%, aligning better with the “dual-carbon” goals. These findings provide valuable insights for optimizing ECRT mechanisms and advancing green, low-carbon economic transformation. Policy recommendations include refining quota allocation methods, enhancing market participation, and integrating ECRT with carbon trading systems to maximize efficiency. |
| format | Article |
| id | doaj-art-0b591ec201d843b3bc4d7d34249d308e |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-0b591ec201d843b3bc4d7d34249d308e2025-08-20T03:46:08ZengNature PortfolioScientific Reports2045-23222025-07-0115111610.1038/s41598-025-10838-wAgent based modeling of energy consuming rights trading for low carbon transformation in ChinaFeng Han0Xin Li1Xiaohan Bi2Jie Gao3Zihao Cao4Dong Yang5Feng Shi6Yongfei Jia7Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences)Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences)Information Research Institute of Shandong Academy of Sciences, Qilu University of Technology (Shandong Academy of Sciences)Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences)Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences)Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences)School of Environmental Science and Engineering, Qilu University of Technology (Shandong Academy of Sciences)Think Tank Center, Qilu University of Technology (Shandong Academy of Sciences)Abstract The market-oriented allocation of Energy-Consuming Rights allows enterprises to trade legally obtained energy consumption quotas on public platforms within regional caps, improving energy efficiency and promoting sustainable development. As an institutional innovation, Energy-consuming rights trading (ECRT) addresses China’s energy and environmental challenges while fostering green transformation. This study employs agent-based modeling to simulate the dynamic interactions among enterprises, governments, and trading platforms under dual constraints of energy consumption and carbon emissions. The results show that: (1) ECRT reduces total energy consumption by 8.1% and carbon emissions by 9.8% compared to regions without trading markets, demonstrating its effectiveness in energy conservation and emission reduction. (2) Paid quotas outperform free quotas, reducing energy consumption by 7.9% and carbon emissions by 6.8%, while stabilizing trading prices and enhancing market activity. (3) High-quality development scenarios improve energy efficiency by 4.4% and reduce carbon emissions by 5%, aligning better with the “dual-carbon” goals. These findings provide valuable insights for optimizing ECRT mechanisms and advancing green, low-carbon economic transformation. Policy recommendations include refining quota allocation methods, enhancing market participation, and integrating ECRT with carbon trading systems to maximize efficiency.https://doi.org/10.1038/s41598-025-10838-wEnergy-consuming rightsMarket-oriented allocationLow-carbon transformationAgent-based modelingPolicy simulation |
| spellingShingle | Feng Han Xin Li Xiaohan Bi Jie Gao Zihao Cao Dong Yang Feng Shi Yongfei Jia Agent based modeling of energy consuming rights trading for low carbon transformation in China Scientific Reports Energy-consuming rights Market-oriented allocation Low-carbon transformation Agent-based modeling Policy simulation |
| title | Agent based modeling of energy consuming rights trading for low carbon transformation in China |
| title_full | Agent based modeling of energy consuming rights trading for low carbon transformation in China |
| title_fullStr | Agent based modeling of energy consuming rights trading for low carbon transformation in China |
| title_full_unstemmed | Agent based modeling of energy consuming rights trading for low carbon transformation in China |
| title_short | Agent based modeling of energy consuming rights trading for low carbon transformation in China |
| title_sort | agent based modeling of energy consuming rights trading for low carbon transformation in china |
| topic | Energy-consuming rights Market-oriented allocation Low-carbon transformation Agent-based modeling Policy simulation |
| url | https://doi.org/10.1038/s41598-025-10838-w |
| work_keys_str_mv | AT fenghan agentbasedmodelingofenergyconsumingrightstradingforlowcarbontransformationinchina AT xinli agentbasedmodelingofenergyconsumingrightstradingforlowcarbontransformationinchina AT xiaohanbi agentbasedmodelingofenergyconsumingrightstradingforlowcarbontransformationinchina AT jiegao agentbasedmodelingofenergyconsumingrightstradingforlowcarbontransformationinchina AT zihaocao agentbasedmodelingofenergyconsumingrightstradingforlowcarbontransformationinchina AT dongyang agentbasedmodelingofenergyconsumingrightstradingforlowcarbontransformationinchina AT fengshi agentbasedmodelingofenergyconsumingrightstradingforlowcarbontransformationinchina AT yongfeijia agentbasedmodelingofenergyconsumingrightstradingforlowcarbontransformationinchina |