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Assessing the contribution of optimizing energy mix to China’s carbon peaking
被引:0
|作者:
Feng Wang
Huadan Han
Liang Liu
Jingfei Zhao
机构:
[1] Xi’an Jiaotong University,School of Economics and Finance
[2] People’s Hospital of Ningxiang,undefined
[3] Hunan University of Chinese Medicine,undefined
来源:
关键词:
Energy mix;
Energy consumption;
Cointegration model;
Scenario analysis;
Energy policy;
China’s carbon peaking;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
To cope with climate change, China commits that it will strive to achieve carbon peaking by 2030. Using the Cointegration model and the Markov Chain model, this paper forecasts China’s carbon emissions during 2019–2030 in six scenarios, and assesses the contribution of optimizing the energy mix to China’s carbon peaking. The research obtains three main conclusions. Firstly, optimizing the energy mix will contribute to achieving China’s carbon peaking. In the economic slow-growth scenario, taking China’s planned target of energy mix (PTEM) into account, the carbon peaking year will be brought forward from 2028 to 2023. In the economic medium-speed-growth scenario, optimizing the energy mix will make China achieve carbon peaking in 2028. Without considering the PTEM, however, the carbon emissions will not peak before 2030. In the economic fast-growth scenario, the peaking year will not occur whether considering the PTEM or not, but the growth rate of carbon emissions with the PTEM will be far lower than that without considering the PTEM. Secondly, in all three economic growth scenarios, optimizing the energy mix will largely reduce the growth rate of carbon emissions, and thus significantly reduce the peak value of carbon emissions. Thirdly, optimizing the energy mix has a negative adjusting effect on the impact of economic growth on the growth rate of carbon emissions, and the negative effect rise as the economic growth rate increases.
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页码:18296 / 18311
页数:15
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