Synergizing China's energy and carbon mitigation goals: General equilibrium modeling and policy assessment

被引:39
作者
Yuan, Yongna [1 ]
Duan, Hongbo [2 ]
Tsvetanov, Tsvetan G. [3 ]
机构
[1] Univ Chinese Acad Sci, Sch Publ Policy & Management, Beijing 100049, Peoples R China
[2] Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
[3] Univ Kansas, Dept Econ, Lawrence, KS 66045 USA
基金
中国国家自然科学基金;
关键词
Computable general equilibrium modeling; Low-carbon energy transition; Carbon mitigation; Carbon pricing; Nonfossil energy investment; Integrated policy assessment; CLIMATE-CHANGE; INTEGRATED ASSESSMENT; RENEWABLE ENERGY; GREENHOUSE GASES; EMISSIONS PEAK; CO2; EMISSIONS; TECHNOLOGIES; UNCERTAINTY; IMPACTS; TARGETS;
D O I
10.1016/j.eneco.2020.104787
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this work, we enrich the technical details of the energy sector by extending the conventional framework of computable general equilibrium (CGE) modeling, and we take into account uncertainty regarding fossil-fueled technologies and endogenous nonfossil energy technological change, which provides uswith formidable benefits to explore the policy synergy of China's multiple energy development and carbon control targets. We find that carbon pricing policy plays a consistently negative role in economic growth, while the economic impacts of nonfossil investment incentives differ in their policy stringency. Compared to energy intensity reduction goals that could be easily attained given the baseline effort, achieving carbon peaking targets may be relatively difficult without additional policy intervention, and the policy efforts required to reach energy consumption control targets in 2030 and nonfossil energy development targets in 2050 are even stricter. This research also identifies significant policy effect differences in carbon pricing and nonfossil investment incentives. (C) 2020 Elsevier B.V. All rights reserved.
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页数:16
相关论文
共 51 条
  • [1] Aldy J, 2016, NAT CLIM CHANGE, V6, P1000, DOI [10.1038/NCLIMATE3106, 10.1038/nclimate3106]
  • [2] [Anonymous], 2017, RENEWABLE POWER GENE
  • [3] [Anonymous], 2016, 13 5 YEAR PLAN HYDR
  • [4] [Anonymous], 2019, CHIN EN STAT YB 2018
  • [5] Application of computable general equilibrium (CGE) to climate change mitigation policy: A systematic review
    Babatunde, Kazeem Alasinrin
    Begum, Rawshan Ara
    Said, Fathin Faizah
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 78 : 61 - 71
  • [6] Babiker H.M., 2005, MIT EMISSIONS PREDIC
  • [7] Air pollution policy in Europe: Quantifying the interaction with greenhouse gases and climate change policies
    Bollen, Johannes
    Brink, Corjan
    [J]. ENERGY ECONOMICS, 2014, 46 : 202 - 215
  • [8] Bretschger L, 2019, ENVIRON RESOUR ECON, V72, P5, DOI 10.1007/s10640-018-0219-y
  • [9] China National Renewable Energy Centre (CNREC), 2018, CHIN REN EN OUTL 201
  • [10] Can China achieve its 2030 energy development targets by fulfilling carbon intensity reduction commitments?
    Cui, Lianbiao
    Li, Rongjing
    Song, Malin
    Zhu, Lei
    [J]. ENERGY ECONOMICS, 2019, 83 : 61 - 73