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A market-based framework for CO2 emissions reduction in China's civil aviation industry
https://orcid.org/0000-0002-1469-8759
Abstract This paper proposes a novel aviation CO2 emissions reduction method by introducing a market-based incentive mechanism. An aviation carbon emissions prediction model is proposed to characterize both the microscopic flight dynamics and the macroscopic air traffic demand trend. Based on emissions prediction, a linear climate response model is applied to evaluate the environmental impact of the aviation carbon emissions. Finally, a market-based framework for aviation CO2 emissions reduction is established based on a two-phase carbon trading model, which provides a piecewise charge method through emission taxation and cap-and-trade. A case study is carried out to demonstrate the effectiveness of the proposed framework using a real-world dataset from the Hefei Air Traffic Control Zone in China. Three scenarios are defined to describe the possible development speed of sustainable aviation fuel application in the future: not applied, medium-speed development, and high-speed development. The results show that the carbon peak will be reached in 2025 in the high-speed development scenario, when the emission amount and associated environmental impact will be reduced by 23.7% and 22.3%, respectively. Thus, the market-based framework proposed in this paper can effectively reduce aviation CO2 emissions and mitigate the effects of global warming.
Highlights An aviation CO2 emissions prediction model is proposed considering both microscopic flight dynamics and macroscopic traffic demand. A more efficient market-based CO2 emission reduction framework is developed based on a two-phase carbon trading model by means of taxation and cap-and-trade. Case study shows that the proposed method has a more optimal incentive for CO2 emission reduction.
A market-based framework for CO2 emissions reduction in China's civil aviation industry
https://orcid.org/0000-0002-1469-8759
Abstract This paper proposes a novel aviation CO2 emissions reduction method by introducing a market-based incentive mechanism. An aviation carbon emissions prediction model is proposed to characterize both the microscopic flight dynamics and the macroscopic air traffic demand trend. Based on emissions prediction, a linear climate response model is applied to evaluate the environmental impact of the aviation carbon emissions. Finally, a market-based framework for aviation CO2 emissions reduction is established based on a two-phase carbon trading model, which provides a piecewise charge method through emission taxation and cap-and-trade. A case study is carried out to demonstrate the effectiveness of the proposed framework using a real-world dataset from the Hefei Air Traffic Control Zone in China. Three scenarios are defined to describe the possible development speed of sustainable aviation fuel application in the future: not applied, medium-speed development, and high-speed development. The results show that the carbon peak will be reached in 2025 in the high-speed development scenario, when the emission amount and associated environmental impact will be reduced by 23.7% and 22.3%, respectively. Thus, the market-based framework proposed in this paper can effectively reduce aviation CO2 emissions and mitigate the effects of global warming.
Highlights An aviation CO2 emissions prediction model is proposed considering both microscopic flight dynamics and macroscopic traffic demand. A more efficient market-based CO2 emission reduction framework is developed based on a two-phase carbon trading model by means of taxation and cap-and-trade. Case study shows that the proposed method has a more optimal incentive for CO2 emission reduction.
A market-based framework for CO2 emissions reduction in China's civil aviation industry
https://orcid.org/0000-0002-1469-8759
Abstract This paper proposes a novel aviation CO2 emissions reduction method by introducing a market-based incentive mechanism. An aviation carbon emissions prediction model is proposed to characterize both the microscopic flight dynamics and the macroscopic air traffic demand trend. Based on emissions prediction, a linear climate response model is applied to evaluate the environmental impact of the aviation carbon emissions. Finally, a market-based framework for aviation CO2 emissions reduction is established based on a two-phase carbon trading model, which provides a piecewise charge method through emission taxation and cap-and-trade. A case study is carried out to demonstrate the effectiveness of the proposed framework using a real-world dataset from the Hefei Air Traffic Control Zone in China. Three scenarios are defined to describe the possible development speed of sustainable aviation fuel application in the future: not applied, medium-speed development, and high-speed development. The results show that the carbon peak will be reached in 2025 in the high-speed development scenario, when the emission amount and associated environmental impact will be reduced by 23.7% and 22.3%, respectively. Thus, the market-based framework proposed in this paper can effectively reduce aviation CO2 emissions and mitigate the effects of global warming.
Highlights An aviation CO2 emissions prediction model is proposed considering both microscopic flight dynamics and macroscopic traffic demand. A more efficient market-based CO2 emission reduction framework is developed based on a two-phase carbon trading model by means of taxation and cap-and-trade. Case study shows that the proposed method has a more optimal incentive for CO2 emission reduction.
A market-based framework for CO2 emissions reduction in China's civil aviation industry
Chen, Dan (author) / Yin, Jianan (author) / Xu, Feng (author) / Huang, Chen (author) / Li, Ziyu (author)
Transport Policy ; 143 ; 150-158
2023-09-21
9 pages
Article (Journal)
Electronic Resource
English
How to Allocate the Allowance for the Aviation Industry in China’s Emissions Trading System
| DOAJ | 2019