Carbon emissions quotas in the Chinese road transport sector: A carbon trading perspective. (July 2017)
- Record Type:
- Journal Article
- Title:
- Carbon emissions quotas in the Chinese road transport sector: A carbon trading perspective. (July 2017)
- Main Title:
- Carbon emissions quotas in the Chinese road transport sector: A carbon trading perspective
- Authors:
- Han, Rong
Yu, Bi-Ying
Tang, Bao-Jun
Liao, Hua
Wei, Yi-Ming - Abstract:
- Abstract: In response to the growing need to reduce carbon emissions, it is necessary to explore the design of carbon trading mechanisms and discuss allocation options for the transport sector. This paper examines the allocation of carbon quotas with the introduction of an emissions trading scheme (ETS) in the Chinese road transport sector. Aiming to simulate the allocation of carbon emissions quotas, we forecast vehicle possession using a gray forecast model and trend extrapolation; consider the carbon dioxide (CO2 ) emissions of the transport sector using a top-down approach; and design three policy scenarios. We provide the following findings. First, vehicle possession in the road transport sector and carbon emissions both display an increasing trend, reaching 180 million units and 6.6 billion tons by 2020, respectively. Second, the road transport sector has the largest carbon quota under the benchmark scenario and the smallest under a low-carbon scenario. The difference between these two scenarios is 2.7 billion tons of carbon emissions. Finally, we design a carbon emissions trading mechanism for the transport sector based on China's special development period, and provide a sensitivity analysis. Highlights: Analyze the allocation of carbon quotas on Chinese road transport sector. By 2020, carbon emissions of Chinese road transport sector representing a more than six fold increase compared with 2014. In any future carbon market, mini trucks and large passenger vehiclesAbstract: In response to the growing need to reduce carbon emissions, it is necessary to explore the design of carbon trading mechanisms and discuss allocation options for the transport sector. This paper examines the allocation of carbon quotas with the introduction of an emissions trading scheme (ETS) in the Chinese road transport sector. Aiming to simulate the allocation of carbon emissions quotas, we forecast vehicle possession using a gray forecast model and trend extrapolation; consider the carbon dioxide (CO2 ) emissions of the transport sector using a top-down approach; and design three policy scenarios. We provide the following findings. First, vehicle possession in the road transport sector and carbon emissions both display an increasing trend, reaching 180 million units and 6.6 billion tons by 2020, respectively. Second, the road transport sector has the largest carbon quota under the benchmark scenario and the smallest under a low-carbon scenario. The difference between these two scenarios is 2.7 billion tons of carbon emissions. Finally, we design a carbon emissions trading mechanism for the transport sector based on China's special development period, and provide a sensitivity analysis. Highlights: Analyze the allocation of carbon quotas on Chinese road transport sector. By 2020, carbon emissions of Chinese road transport sector representing a more than six fold increase compared with 2014. In any future carbon market, mini trucks and large passenger vehicles will be the main participants. Policy suggestions are offered for devising China's national ETS of road transport sector. … (more)
- Is Part Of:
- Energy policy. Volume 106(2017)
- Journal:
- Energy policy
- Issue:
- Volume 106(2017)
- Issue Display:
- Volume 106, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 106
- Issue:
- 2017
- Issue Sort Value:
- 2017-0106-2017-0000
- Page Start:
- 298
- Page End:
- 309
- Publication Date:
- 2017-07
- Subjects:
- Road transport sector -- Carbon trading -- Carbon emission quotas -- Comprehensive index -- Policy simulation
Energy policy -- Periodicals
Politique énergétique -- Périodiques
Electronic journals
333.79 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03014215 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.enpol.2017.03.071 ↗
- Languages:
- English
- ISSNs:
- 0301-4215
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.720000
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