Analysis of Carbon Emission Efficiency for the Provinces of China

被引：0
|
作者：
Yu Dun-yong [1 ]
Zhang Xue-hua [1 ,2 ]
机构：
[1] Tianjin Polytech Univ, Sch Econ, Tianjin 300387, Peoples R China
[2] Tianjin Polytech Univ, Inst Environm Econ, Tianjin 300387, Peoples R China
来源：
PROCEEDINGS OF THE 2015 3RD INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, ARTS, ECONOMICS AND SOCIAL SCIENCE | 2016年 / 49卷
关键词：
Stochastic Frontier Analysis; Carbon Emission Efficiency; Production Factors; Difference;
D O I：
暂无
中图分类号：
C [社会科学总论];
学科分类号：
03 ; 0303 ;
摘要：
Using the method of Stochastic Frontier Analysis (SFA), this paper chooses the rate of urbanization, the per capita Road area, the per capita green area, the green coverage rate, the third industrial proportion, the proportion of eight energy consuming industries, the intensity of the input into R&D, environmental protection investment index, employees in the proportion of total population as the input factor, and GDP output of the unit carbon emission as the output factor to calculate and analyze the carbon emission efficiency of China's 30 provinces in 2006 and 2011. The results shows the carbon emission efficiency in Beijing, Hebei, Shanghai, Ningxia, and Xinjiang is decreased, while other provinces' shows the contrary result. Meanwhile there is a big difference between different regions.
引用
收藏
页码：753 / 758
页数：6
相关论文
共 50 条
  • [41] Study on the initial allocation of carbon emission permits in the provinces of China based on Shapley method
    Mu Hailin
    Huang Yuxuan
    Li Nan
    Xue Zhaoquan
    Li Longxi
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MECHANICAL SCIENCE AND ENGINEERING, 2016, 66
  • [42] Allocation and simulation study of carbon emission quotas among China’s provinces in 2020
    Xing Zhou
    Xueling Guan
    Ming Zhang
    Yao Zhou
    Meihua Zhou
    [J]. Environmental Science and Pollution Research, 2017, 24 : 7088 - 7113
  • [43] A comparison of carbon dioxide (CO2) emission trends among provinces in China
    Du, Kerui
    Xie, Chunping
    Ouyang, Xiaoling
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 73 : 19 - 25
  • [44] Decomposition Analysis of Regional Electricity Consumption Drivers Considering Carbon Emission Constraints: A Comparison of Guangdong and Yunnan Provinces in China
    Chen, Haobo
    Liu, Shangyu
    Kuang, Yaoqiu
    Shu, Jie
    Ma, Zetao
    [J]. ENERGIES, 2023, 16 (24)
  • [45] Analyzing carbon emission transfer network structure among provinces in China: new evidence from social network analysis
    Licheng Sun
    Lin Qin
    Farhad Taghizadeh-Hesary
    Jijian Zhang
    Muhammad Mohsin
    Imran Sharif Chaudhry
    [J]. Environmental Science and Pollution Research, 2020, 27 : 23281 - 23300
  • [46] Analyzing carbon emission transfer network structure among provinces in China: new evidence from social network analysis
    Sun, Licheng
    Qin, Lin
    Taghizadeh-Hesary, Farhad
    Zhang, Jijian
    Mohsin, Muhammad
    Chaudhry, Imran Sharif
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (18) : 23281 - 23300
  • [47] Impact of Financial Inclusion on the Efficiency of Carbon Emissions: Evidence from 30 Provinces in China
    Zhang, Xu
    Sun, Huaping
    Wang, Taohong
    [J]. ENERGIES, 2022, 15 (19)
  • [48] Efficiency or Fairness? Research on the Allocation of Energy Consumption and Carbon Emission Rights among Chinese Provinces
    Lei, Anqi
    Zhang, Te
    Yang, Li
    [J]. AFRICAN AND ASIAN STUDIES, 2023, 22 (04) : 355 - 384
  • [49] The static and dynamic carbon emission efficiency of transport industry in China
    Meng, Conghui
    Du, Xiaoyun
    Zhu, Mengcheng
    Ren, Yitian
    Fang, Kai
    [J]. ENERGY, 2023, 274
  • [50] Digital finance, government intervention, and carbon emission efficiency in China
    Ding, Keke
    Li, Jing
    Wang, Qin
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (56) : 119356 - 119371
12345