Approaches to carbon allowance allocation in China: a computable general equilibrium analysis

被引:0
|
作者
Yun-Fei Yao
Qiao-Mei Liang
机构
[1] Sinopec,Sinopec Research Institute of Petroleum Engineering
[2] Beijing Institute of Technology,Center for Energy and Environmental Policy Research
[3] Beijing Institute of Technology,School of Management and Economics
[4] Collaborative Innovation Center of Electric Vehicles in Beijing,undefined
来源
Natural Hazards | 2016年 / 84卷
关键词
Emissions trade; Primary allowance allocation; Computable general equilibrium; Climate policy;
D O I
暂无
中图分类号
学科分类号
摘要
China is preparing to develop and implement an emissions trading system in its 13th five-year plan. Allowance allocation is one of the key issues to settle during the establishment of this system. This study applies the China Energy and Environmental Policy Analysis model to assess how the allowances should be allocated. Simulation results show that, while impacts on China’s economic development vary according to how allowances are allocated, the negative impacts cannot be mitigated completely, which are between −0.5 and −0.1 % when 5 % of carbon emissions are reduced. In terms of the impacts on the macroeconomy, sectoral output, and capital revenue, results suggest that auctioning the allowances and recycling the revenue to reduce the indirect tax will perform best in alleviating the negative impacts. Meanwhile, impacts of carbon mitigation on international competitiveness can be reduced most in the approach where only key energy- and trade-intensive sectors are able to receive free allowances. However, if citizens’ welfare and quality of life is prioritized, auctioning the allowance and transferring the revenue to households in proportion to their occupation will be the most effective approach; in this case, the negative impacts on rural households’ disposable incomes and welfare will be reduced, and the income gap between rural and urban households will be narrowed.
引用
收藏
页码:333 / 351
页数:18
相关论文
共 50 条
  • [41] INDIA-CHINA TRADE IN LIGHT AND HEAVY MANUFACTURING SECTOR: A COMPUTABLE GENERAL EQUILIBRIUM ANALYSIS
    Ismail, Saba
    Ahmed, Shahid
    GLOBAL ECONOMY JOURNAL, 2020, 20 (03)
  • [42] Economic and Efficiency Analysis of China Electricity Market Reform Using Computable General Equilibrium Model
    Yin, Jieting
    Yan, Qingyou
    Lei, Kaijie
    Balezentis, Tomas
    Streimikiene, Dalia
    SUSTAINABILITY, 2019, 11 (02)
  • [43] Measuring the impacts of urbanization on energy consumption and economic growth in China: A computable general equilibrium analysis
    Zhou Xiao-dong
    Sha Jing-hua
    Zhong Shuai
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY AND ENVIRONMENTAL SCIENCE 2015, 2015, 31 : 817 - 823
  • [44] Simulating the environmental and economic effects of a carbon tax in Vietnam: a static computable general equilibrium analysis
    Nguyen, Phuong Thao
    MANAGEMENT OF ENVIRONMENTAL QUALITY, 2023, 34 (06) : 1647 - 1667
  • [45] Intensity Allocation Criteria of Carbon Emissions Permits and Regional Economic Development in China - Based on a 30-Province/Autonomous Region Computable General Equilibrium Model
    Yuan Yong-Na
    Shi Min-Jun
    Li Na
    Zhou Sheng-Lu
    ADVANCES IN CLIMATE CHANGE RESEARCH, 2012, 3 (03) : 154 - 162
  • [47] Carbon-based border tax adjustments and China’s international trade: analysis based on a dynamic computable general equilibrium model
    Tang L.
    Bao Q.
    Zhang Z.X.
    Wang S.
    Environmental Economics and Policy Studies, 2015, 17 (2) : 329 - 360
  • [48] Pension Reform and Endogenous Retirement - a Computable General Equilibrium Analysis
    Kallweit, Manuel
    JAHRBUCHER FUR NATIONALOKONOMIE UND STATISTIK, 2009, 229 (04): : 426 - 449
  • [49] Trade liberalization in Thailand: A Computable General Equilibrium (CGE) analysis
    Karunaratne, ND
    JOURNAL OF DEVELOPING AREAS, 1998, 32 (04): : 515 - 540
  • [50] A computable general equilibrium analysis of the EU CBAM for the Japanese economy
    Takeda, Shiro
    Arimura, Toshi H.
    JAPAN AND THE WORLD ECONOMY, 2024, 70