气候变化研究进展 ›› 2015, Vol. 11 ›› Issue (1): 61-67.doi: 10.3969/j.issn.1673-1719.2015.01.009

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碳交易政策的经济影响:以广东省为例

任松彦1,戴瀚程2,汪 鹏1,赵黛青1,增井利彦2   

  1. 1 中国科学院广州能源研究所,广州 510640;
    2 日本国立环境研究所,筑波 305-8506,日本
  • 收稿日期:2014-07-14 修回日期:2014-10-16 出版日期:2015-01-30 发布日期:2015-01-30
  • 通讯作者: 任松彦 E-mail:rensy@ms.giec.ac.cn
  • 基金资助:

    英国繁荣战略SPF基金;日本环境研究综合推进基金;中国科学院所长创新基金项目

Economic Impacts of Carbon Emission Trading: Case Study on Guangdong Province

Ren Songyan1, Dai Hancheng2, Wang Peng1, Zhao Daiqing1, Masui Toshihiko2   

  1. 1 Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China; 
    2 National Institute for Environmental Studies, Tsukuba 305-8506, Japan
  • Received:2014-07-14 Revised:2014-10-16 Online:2015-01-30 Published:2015-01-30

摘要: 通过构建广东省两区域动态模型,对广东省碳交易及其他政策措施进行定量评估,分析实施可调控总量的碳交易政策机制对广东省及参与交易部门的经济影响。研究结果表明,按照减排情景到2015年广东完成19.5%的碳强度下降目标,相比基准情景,GDP将减少0.7%;按照强减排情景到2015年将完成20.5%的碳强度下降目标,相比基准情景GDP将减少0.9%;如果在强减排情景的基础上实施碳交易政策,GDP相对基准情景减少0.8%,到2015年实施碳交易政策可减少GDP损失约90亿元,说明广东建立碳排放权交易机制能够发挥支持经济发展和节能减碳双赢的作用。

关键词: 可计算一般均衡模型, 广东省, 碳交易, 经济影响

Abstract: Using a dynamic two-region computable general equilibrium model, this study conducted a quantitative assessment of the impacts of carbon emission trading on the economy of Guangdong Province, the participating sectors and the carbon trading prices. The results show that, in accordance with the energy conservation scenario to be completed by 2015 (19.5% decline in carbon intensity), GDP will lose 0.7% compared with the baseline scenario; according to a low-carbon scenario to be completed by 2015 (20.5% decline in carbon intensity), GDP will lose 0.9% compared with the baseline scenario; if carbon trading policy is implemented in the low-carbon scenario, GDP will lose 0.8% relative to the baseline scenario. The results show that the carbon trading policy can save about 9 billion yuan RMB. This analysis supports Guangdong Province to achieve both economic development and carbon emission reduction target.

Key words: computable general equilibrium model, Guangdong Province, carbon trading, economic impact

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