globalchange  > 过去全球变化的重建
DOI: 10.1016/j.enpol.2019.03.037
WOS记录号: WOS:000468012900114
论文题名:
Exploring China's carbon emissions peak for different carbon tax scenarios
作者: Ding, Suiting1; Zhang, Ming1,2; Song, Yan1,2
通讯作者: Zhang, Ming
刊名: ENERGY POLICY
ISSN: 0301-4215
EISSN: 1873-6777
出版年: 2019
卷: 129, 页码:1245-1252
语种: 英语
英文关键词: Energy technology diffusion model ; Carbon tax ; Carbon emission peak
WOS关键词: ENERGY ; PERSPECTIVES
WOS学科分类: Economics ; Energy & Fuels ; Environmental Sciences ; Environmental Studies
WOS研究方向: Business & Economics ; Energy & Fuels ; Environmental Sciences & Ecology
英文摘要:

Under the United Nations Framework Convention on Climate Change, China has made a commitment to peak CO2 emissions around 2030. China is still interested in fulfilling its commitment to address climate change. In this study, a diffusion model of energy technology based on endogenous technology learning under bounded rationality is developed to explore the possible impacts of different carbon tax conditions on the diffusion of energy technologies in China. It is concluded that the substitution of energy technology is a long-term and slow process. In the case of a high-carbon tax, transition technologies and new technologies will appear earlier and replace the original technology (6-8 years earlier than in the case of a lower carbon tax). The transition technology will become dominant only for a short period of time (around 2030) but will be quickly replaced by new technology. The traditional technology will cease to exist in the last thirty years of this century in all carbon tax scenarios. In the low-carbon tax or high-carbon tax scenarios, carbon emissions will peak in 2030 and then decline significantly. The peak in carbon emissions is lower under the high-carbon tax scenario than the low carbon tax scenario, representing a 28% decrease.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/139728
Appears in Collections:过去全球变化的重建

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作者单位: 1.China Univ Min & Technol, Sch Management, Xuzhou 221116, Jiangsu, Peoples R China
2.China Univ Min & Technol, Jiangsu Energy Econ & Management Res Base, Xuzhou 221116, Jiangsu, Peoples R China

Recommended Citation:
Ding, Suiting,Zhang, Ming,Song, Yan. Exploring China's carbon emissions peak for different carbon tax scenarios[J]. ENERGY POLICY,2019-01-01,129:1245-1252
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