Knowledge Management System Of Guangzhou Institute of Energy Conversion, CAS
| A general equilibrium assessment of economic impacts of provincial unbalanced carbon intensity targets in China | |
Weng, Zhixiong1; Dai, Hancheng2; Ma, Zhongyu1,3; Xie, Yang4; Wang, Peng5
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| 2018-06-01 | |
| Source Publication | RESOURCES CONSERVATION AND RECYCLING
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| ISSN | 0921-3449 |
| Volume | 133Pages:157-168 |
| Corresponding Author | Dai, Hancheng(dai.hancheng@pku.edu.cn) ; Ma, Zhongyu(mazhy@mail.caas.net.cn) |
| Abstract | It is necessary to measure the economic impacts of the attempts to achieve China's carbon emission intensity reduction target. Consequently, this study analyzes the economic impacts of the differentiated CO2 intensity targets between Guangxi Province and the rest of China. An improved two-region computable general equilibrium model with eight scenarios is used. Our results show that different CO2 intensity targets in different regions will affect Guangxi's GDP, carbon price, welfare, and output. The highest reduction target of 75% in the P75C65 scenario in Guangxi will lead to a cost of 0.42% in per capita GDP loss, 0.51% of welfare loss, and a carbon price of 49.4 USD/t. In addition, the output of the energy-intensive sectors is most vulnerable to carbon mitigation policy. The two mechanisms that affect economic indicators are price and scale effects. Under the P75C65 scenario, sectors such as vehicle manufacturing are winners and are affected by both price and scale effects in Guangxi, with export, provincial outflow, domestic supply, and output decreasing by 1.64%, 0.88%, 0.93%, and 0.93%, respectively. In contrast, sectors such as agriculture are losers and are affected by the scale effect, with these four indicators increasing by 1.25%, 0.97%, 0.59%, and 0.73%, respectively. These findings provide valuable insights for policy makers who wish to allocate provincial reduction targets and achieve co-benefits between the economy and the environment. |
| Keyword | climate change Economic impact Price effect Scale effect IMED/CGE model |
| DOI | 10.1016/j.resconrec.2018.01.032 |
| WOS Keyword | EMISSIONS TRADING SCHEME ; CO2 EMISSIONS ; ALLOCATION ; TAX ; INDUSTRY ; SECTORS ; COMPETITIVENESS ; EFFICIENCY ; REDUCTION ; COUNTRIES |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Key R&D Program of China[2016YEA0602601] ; National Natural Science Foundation of China[71704005] ; National Natural Science Foundation of China[71603248] |
| WOS Research Area | Engineering ; Environmental Sciences & Ecology |
| Funding Organization | National Key R&D Program of China ; National Natural Science Foundation of China |
| WOS Subject | Engineering, Environmental ; Environmental Sciences |
| WOS ID | WOS:000429753900016 |
| Publisher | ELSEVIER SCIENCE BV |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.giec.ac.cn/handle/344007/23021 |
| Collection | 中国科学院广州能源研究所 |
| Corresponding Author | Dai, Hancheng; Ma, Zhongyu |
| Affiliation | 1.Renmin Univ China, Sch Environm & Nat Resources, 59 Zhongguancun St, Beijing 100872, Peoples R China 2.Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China 3.State Informat Ctr, 58 Sanlihe Rd, Beijing 100045, Peoples R China 4.Natl Inst Environm Studies, Social & Environm Syst Div, 16-1 Onogawa, Tsukuba, Ibaraki 3058506, Japan 5.Chinese Acad Sci, Guangzhou Inst Energy Convers, 2 Nengyuan Rd,Wushan St, Guangzhou 510640, Guangdong, Peoples R China |
| Recommended Citation GB/T 7714 | Weng, Zhixiong,Dai, Hancheng,Ma, Zhongyu,et al. A general equilibrium assessment of economic impacts of provincial unbalanced carbon intensity targets in China[J]. RESOURCES CONSERVATION AND RECYCLING,2018,133:157-168. |
| APA | Weng, Zhixiong,Dai, Hancheng,Ma, Zhongyu,Xie, Yang,&Wang, Peng.(2018).A general equilibrium assessment of economic impacts of provincial unbalanced carbon intensity targets in China.RESOURCES CONSERVATION AND RECYCLING,133,157-168. |
| MLA | Weng, Zhixiong,et al."A general equilibrium assessment of economic impacts of provincial unbalanced carbon intensity targets in China".RESOURCES CONSERVATION AND RECYCLING 133(2018):157-168. |
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