How to achieve the goal of carbon peaking by the energy policy? A simulation using the DCGE model for the case of Shanghai, China

被引:9
作者
Hu, Haisheng [1 ]
Zhao, Laijun [1 ]
Dong, Wanhao [2 ]
机构
[1] Univ Shanghai Sci & Technol, Business Sch, Shanghai 200093, Peoples R China
[2] Shanghai Lixin Univ Accounting & Finance, Sch Publ Finance & Adm, Shanghai 201209, Peoples R China
关键词
Carbon peaking; Shanghai energy policy; Oil supply policy; Economic effect; Dynamic computable general equilibrium; (DCGE); ENVIRONMENTAL-REGULATION; EMISSIONS; REDUCTION; TAX;
D O I
10.1016/j.energy.2023.127947
中图分类号
O414.1 [热力学];
学科分类号
摘要
The main issue of this study is what kind of energy policy should Shanghai adopt to achieve the goal of carbon peaking in 2025, especially the policy different from that of the whole country. This study applies the dynamic computable general equilibrium model to simulate the impact of energy policy on energy consumption structure, energy use, carbon emissions, and the macroeconomy for the case of Shanghai, a city in east China with a large oil consumption share. By comparing the economic and environmental effects of various energy policies, sug-gestions are provided for Shanghai to choose a better energy policy. The simulation results indicate that limiting coal consumption and developing nonfossil energy policies, which is the policy listed in Shanghai's 14th five-year plan, could not achieve carbon peaking by 2025. A combined policy could achieve the goal of carbon peaking. In addition, the combined policy helps to optimize the effect of macroeconomy. Limiting oil con-sumption is the key to achieve carbon peaking in Shanghai. Additionally, the simulation of oil supply policy is helpful for policy making, especially for the regions with a similar energy structure. This study finding is a contribution to the existing literature.
引用
收藏
页数:11
相关论文
共 64 条
[1]  
Chang GH, 2017, PRINCIPLE COMPUTABLE, V2E
[2]   Analysis on the carbon emission peaks of China's industrial, building, transport, and agricultural sectors [J].
Chen, Xi ;
Shuai, Chenyang ;
Wu, Ya ;
Zhang, Yu .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 709
[3]  
Chen Y, 2010, EC RES J, P29
[4]   Carbon tax and energy innovation at crossroads of carbon neutrality: Designing a sustainable decarbonization policy [J].
Cheng, Ya ;
Sinha, Avik ;
Ghosh, Vinit ;
Sengupta, Tuhin ;
Luo, Huawei .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 294
[5]   Exploring China's carbon emissions peak for different carbon tax scenarios [J].
Ding, Suiting ;
Zhang, Ming ;
Song, Yan .
ENERGY POLICY, 2019, 129 :1245-1252
[6]   Policy influence in the dynamic of energy and carbon dioxide emissions intensity of Brazilian road transport [J].
Diniz Chaves, Gisele de Lorena ;
Boldrini, Olivia Nascimento ;
Rosa, Rodrigo de Alvarenga ;
Ghisolfi, Veronica ;
Ribeiro, Glaydston Mattos .
CASE STUDIES ON TRANSPORT POLICY, 2021, 9 (04) :1868-1878
[7]  
Du W, 2020, J CLEAN PROD, P244
[8]   China's pathways to peak carbon emissions: New insights from various industrial sectors [J].
Fang, Kai ;
Li, Chenglin ;
Tang, Yiqi ;
He, Jianjian ;
Song, Junnian .
APPLIED ENERGY, 2022, 306
[9]   Toward a just energy transition: A distributional analysis of low-carbon policies in the USA [J].
Garcia-Muros, Xaquin ;
Morris, Jennifer ;
Paltsev, Sergey .
ENERGY ECONOMICS, 2022, 105
[10]   Carbon Tax, Emission Standards, and Carbon Leak Under Price Competition [J].
Garella, Paolo Giorgio ;
Trentinaglia, Maria Teresa .
ENVIRONMENTAL & RESOURCE ECONOMICS, 2019, 72 (04) :941-964