The Chinese visional goal of achieving the "carbon peak" and "carbon neutrality" puts forward higher requirements for low-carbon development in the transportation industry. Seeking appropriate mitigation strategies to develop low-carbon transportation has been an important part of low-carbon economic development. This study develops a CGE model to analyze the impact of carbon-tax implementation on the transportation industry. It designs four carbon tax-recycling scenarios and simulates for double dividend of carbon tax policy. Then, it designs three scenarios including improved energy efficiency and a carbon tax to explore appropriate mitigation strategies combination. The carbon tax will reduce carbon emissions but it will also reduce sectoral outputs. However, carbon tax recycling can alleviate the negative impact on sectoral outputs, meanwhile achieving reducing carbon emissions. The energy rebound effect brought by improved energy efficiency will greatly reduce the carbon emissions reduction effect, but the carbon tax can promote the awareness of emission reduction of consumers and inhibit the energy rebound effect in the transportation industry. Therefore, at the same time of improved energy efficiency, carbon tax policies should be timely formulated to better promote the sustainable development of the varied transport sectors.
机构:
Chinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Extended Energy Big Data & Strategy Res Ctr, Qingdao 266101, Peoples R China
Uppsala Univ, Fac Arts, Dept Game Design, S-75375 Uppsala, Sweden
State Key Lab Media Convergence Prod Technol & Sys, Beijing 100803, Peoples R ChinaChinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Extended Energy Big Data & Strategy Res Ctr, Qingdao 266101, Peoples R China
Lv, Zhihan
Wang, Nana
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机构:
Chinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Extended Energy Big Data & Strategy Res Ctr, Qingdao 266101, Peoples R China
Shandong Energy Inst, Qingdao 266101, Peoples R China
Qingdao New Energy Shandong Lab, Qingdao 266101, Peoples R ChinaChinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Extended Energy Big Data & Strategy Res Ctr, Qingdao 266101, Peoples R China
Wang, Nana
Lou, Ranran
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Qingdao Univ, Coll Comp Sci & Technol, Qingdao 266071, Peoples R ChinaChinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Extended Energy Big Data & Strategy Res Ctr, Qingdao 266101, Peoples R China
Lou, Ranran
Tian, Yajun
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机构:
Chinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Extended Energy Big Data & Strategy Res Ctr, Qingdao 266101, Peoples R China
Shandong Energy Inst, Qingdao 266101, Peoples R China
Qingdao New Energy Shandong Lab, Qingdao 266101, Peoples R ChinaChinese Acad Sci, Qingdao Inst Bioenergy & Bioproc Technol, Extended Energy Big Data & Strategy Res Ctr, Qingdao 266101, Peoples R China
机构:
School of Transportation and Logistics, East China Jiao Tong University, Nanchang,330013, ChinaSchool of Transportation and Logistics, East China Jiao Tong University, Nanchang,330013, China
Zhang, Cheng
Yu, Zhaoyu
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School of Transportation and Logistics, East China Jiao Tong University, Nanchang,330013, ChinaSchool of Transportation and Logistics, East China Jiao Tong University, Nanchang,330013, China
机构:
Linkoping Univ, Dept Management & Engn, Div Energy Syst, SE-58183 Linkoping, SwedenLinkoping Univ, Dept Management & Engn, Div Energy Syst, SE-58183 Linkoping, Sweden
Haraldsson, Joakim
Johansson, Maria T.
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Linkoping Univ, Dept Management & Engn, Div Energy Syst, SE-58183 Linkoping, SwedenLinkoping Univ, Dept Management & Engn, Div Energy Syst, SE-58183 Linkoping, Sweden