Knowledge Management System Of Guangzhou Institute of Energy Conversion, CAS
Exploring the impacts of regional unbalanced carbon tax on CO2 emissions and industrial competitiveness in Liaoning province of China | |
Li, Zhaoling1; Dai, Hancheng2; Sun, Lu3,4; Xie, Yang4,5; Liu, Zhu6; Wang, Peng7; Yabar, Helmut1 | |
2018-02-01 | |
Source Publication | ENERGY POLICY |
ISSN | 0301-4215 |
Volume | 113Pages:9-19 |
Corresponding Author | Dai, Hancheng(dai.hancheng@pku.edu.cn) |
Abstract | Carbon tax is regarded as a useful policy instrument to achieve the environmental target efficiently. However, the effect of regional unbalanced carbon tax is still unknown. In this study, an improved two-region computable general equilibrium (CGE) model is developed to fill this research gap with Liaoning Province and the rest of China (ROC) as the study area. Business as usual (BaU) and nine carbon tax scenarios are designed. Results show that in 2030, the highest carbon tax of 221 USD/ton-CO2 in taxC4P8 scenario in Liaoning province will lead to carbon reduction of 44.92% with the cost of 5.54% Gross Domestic Product (GDP) loss. Price effect and scale effect are the two mechanisms that affect the changes in GDP, industrial output and CO2 emissions. Industrial structure, energy consumption and carbon intensity of Liaoning are overwhelmingly affected by the price effect. Most less energy-intensive industries belong to the winner industries due to the higher influence of domestic market. By contrast, loser industries, including most of the energy-intensive industries, are mainly affected by the changes of provincial and international markets. ROC region is mainly affected by the price effect. Suggestions about preferential developmental industries are offered to balance the environmental and economic concerns. |
Keyword | Carbon tax Nationally determined contributions (NDCs) Computable general equilibrium model Liaoning in China |
DOI | 10.1016/j.enpol.2017.10.048 |
WOS Keyword | GENERAL EQUILIBRIUM-ANALYSIS ; GUANGDONG PROVINCE ; ECONOMIC-IMPACTS ; SHANGHAI ; PERFORMANCE ; MITIGATION ; POLICY ; MODEL |
Indexed By | SCI |
Language | 英语 |
Funding Project | National Natural Science Foundation of China[71704005] ; National Natural Science Foundation of China[71603248] ; Startup Research Fund of College of Environmental Science and Engineering at Peking University |
WOS Research Area | Business & Economics ; Energy & Fuels ; Environmental Sciences & Ecology |
Funding Organization | National Natural Science Foundation of China ; Startup Research Fund of College of Environmental Science and Engineering at Peking University |
WOS Subject | Economics ; Energy & Fuels ; Environmental Sciences ; Environmental Studies |
WOS ID | WOS:000423009500002 |
Publisher | ELSEVIER SCI LTD |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.giec.ac.cn/handle/344007/22893 |
Collection | 中国科学院广州能源研究所 |
Corresponding Author | Dai, Hancheng |
Affiliation | 1.Univ Tsukuba, Grad Sch Life & Environm Sci, Tsukuba, Ibaraki 3058577, Japan 2.Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China 3.Univ Tokyo, Gradnnte Sch Frontier Sci, Kashiwa, Chiba 2778563, Japan 4.Natl Inst Environm Studies, Tsukuba, Ibaraki 3058506, Japan 5.Tokyo Inst Technol, Dept Social Engn, Tokyo 1528550, Japan 6.CALTECH, Resnick Sustainabil Inst, Pasadena, CA 91125 USA 7.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Guangdong, Peoples R China |
Recommended Citation GB/T 7714 | Li, Zhaoling,Dai, Hancheng,Sun, Lu,et al. Exploring the impacts of regional unbalanced carbon tax on CO2 emissions and industrial competitiveness in Liaoning province of China[J]. ENERGY POLICY,2018,113:9-19. |
APA | Li, Zhaoling.,Dai, Hancheng.,Sun, Lu.,Xie, Yang.,Liu, Zhu.,...&Yabar, Helmut.(2018).Exploring the impacts of regional unbalanced carbon tax on CO2 emissions and industrial competitiveness in Liaoning province of China.ENERGY POLICY,113,9-19. |
MLA | Li, Zhaoling,et al."Exploring the impacts of regional unbalanced carbon tax on CO2 emissions and industrial competitiveness in Liaoning province of China".ENERGY POLICY 113(2018):9-19. |
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