Carbon emission allocation standards in China: A case study of Shanghai city

被引:16
|
作者
Gao, Guangkuo [1 ]
Chen, Shuai [1 ]
Yang, Jiameng [2 ]
机构
[1] Univ Shanghai Sci & Technol, Sch Business, Shanghai 200090, Peoples R China
[2] Nanjing Forestry Univ, Coll Econ & Management, Nanjing 210037, Jiangsu, Peoples R China
关键词
Carbon emission allocation standard; Contraction and Convergence" approach; Historical cumulative emission per capita; Shanghai city; CO2; EMISSION; TRADE;
D O I
10.1016/j.esr.2015.04.002
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Defining carbon emission allocation standards is becoming increasingly important for China to achieve its emission reduction targets, and support global climate change mitigation and energy constraints. This paper defines and adopts the principle of equal historical cumulative emissions per capita, and uses Shanghai as a case study to build an allocation standard for carbon emissions. First, using China's emission reduction targets, we established the carbon emission space for 2020, then constructed an allocation standard for Shanghai carbon emissions for 2020. We found that Shanghai's total carbon emissions between 2000 and 2013 had exceeded China's average carbon emissions, driven by a traditional economic development model. These results point to the necessity of reducing carbon emissions from 2011 levels effectively. The carbon emission per capita has become increasingly faster since 2012. Finally, we provide policy suggestions for low-carbon development, from the perspectives of industry structure, institutional innovation, low-carbon technology, incentive mechanisms, and new energy supplies. This study's methods can be applied to other regions to build an allocation standard for carbon emissions. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:55 / 62
页数:8
相关论文
共 50 条
  • [1] Case study on initial allocation of Shanghai carbon emission trading based on Shapley value
    Liao, Zhenliang
    Zhu, Xiaolong
    Shi, Jiaorong
    [J]. JOURNAL OF CLEANER PRODUCTION, 2015, 103 : 338 - 344
  • [2] Carbon emission peak forecasting and scenario analysis: A case study of educational buildings in Shanghai city
    Zhou, Xuan
    Xu, Zhixin
    Yan, Junwei
    Liang, Liequan
    Pan, Dongmei
    [J]. JOURNAL OF BUILDING ENGINEERING, 2023, 76
  • [3] Prediction of Life Cycle Carbon Emissions of Sponge City Projects: A Case Study in Shanghai, China
    Lin, Xiaohu
    Ren, Jie
    Xu, Jingcheng
    Zheng, Tao
    Cheng, Wei
    Qiao, Junlian
    Huang, Juwen
    Li, Guangming
    [J]. SUSTAINABILITY, 2018, 10 (11)
  • [4] Study on China's regional carbon emission factors: The case of Chongqing city
    Tan, Xianchun
    Chen, Dexue
    Gu, Baihe
    Che, Bang
    [J]. INTERNATIONAL CONFERENCE ON APPLIED ENERGY, ICAE2014, 2014, 61 : 2885 - 2889
  • [5] Analysis of an optimal public transport structure under a carbon emission constraint: a case study in Shanghai, China
    Linling Zhang
    Ruyin Long
    Hong Chen
    Tong Yang
    [J]. Environmental Science and Pollution Research, 2018, 25 : 3348 - 3359
  • [6] Analysis of an optimal public transport structure under a carbon emission constraint: a case study in Shanghai, China
    Zhang, Linling
    Long, Ruyin
    Chen, Hong
    Yang, Tong
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (04) : 3348 - 3359
  • [7] Allocation of carbon emission allowance based on DLA-GA model: a case study in China
    Zhao, Bingyu
    Yang, Wanping
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (11) : 15743 - 15762
  • [8] Allocation of carbon emission allowance based on DLA-GA model: a case study in China
    Bingyu Zhao
    Wanping Yang
    [J]. Environmental Science and Pollution Research, 2022, 29 : 15743 - 15762
  • [9] A comprehensive evaluation of regional carbon emission based on the composite model in China: a case study of Huaibei city (China)
    Zheng Wen
    Ziwei Yang
    Qinfeng Xing
    [J]. Scientific Reports, 13 (1)
  • [10] A comprehensive evaluation of regional carbon emission based on the composite model in China: a case study of Huaibei city (China)
    Wen, Zheng
    Yang, Ziwei
    Xing, Qinfeng
    [J]. SCIENTIFIC REPORTS, 2023, 13 (01):