Study on the Spatial and Temporal Differentiation Pattern of Carbon Emission and Carbon Compensation in China's Provincial Areas

被引:24
|
作者
Huang, Hequ [1 ,2 ]
Zhou, Jia [1 ,2 ]
机构
[1] Harbin Normal Univ, Coll Geog Sci, Harbin 150025, Peoples R China
[2] Harbin Normal Univ, Heilongjiang Prov Key Lab Geog Environm Monitorin, Harbin 150025, Peoples R China
关键词
land use; carbon emission; fairness; carbon offset; economic contributive coefficient (ECC); ecological support coefficient (ESC); MODEL;
D O I
10.3390/su14137627
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Excessive carbon emissions lead to global warming, which has attracted widespread attention in the global society. Carbon emissions and land use are closely related. An analysis of land use carbon emissions and carbon fairness can provide guidance for the formulation of energy conservation and emission reduction policies. This study uses data on agricultural production activities, land use and energy consumption and uses the carbon emission coefficient method to calculate carbon emissions and carbon absorption. The tendency value is used to analyze trends in land use carbon emissions and carbon absorption. The Gini coefficient, ecological support coefficient and economic contributive coefficient are used to analyze the fairness and difference of carbon emissions. The results showed that: (1) During the study period, there were fewer provinces with rapid growth in carbon emissions and carbon absorption and more provinces with slow growth. (2) Cultivated land and woodland are the main carriers of land use carbon absorption, and most provinces steadily maintain the type of carbon absorption to which they belong. (3) Carbon emissions from construction land are the main source of total carbon emissions, and the high concentration areas of carbon emissions are mainly located in the more economically developed areas. (4) There are obvious regional differences in the net carbon emissions. By 2015, Shanxi-Shandong High-High agglomeration areas and Yunnan-Guangxi Low-Low agglomeration areas were finally formed. (5) The distribution of carbon emissions in different provinces is not fair, and the spatial distribution is obviously different. Based on the analysis results, relevant suggestions are made from the perspectives of carbon emission reduction and carbon sink enhancement.
引用
收藏
页数:19
相关论文
共 50 条
  • [21] Spatio-Temporal Pattern Changes of Chinese Provincial Carbon Dioxide Emission Efficiency
    Ma, Hong-zhi
    Bai, Yong-ping
    Che, Lei
    4TH INTERNATIONAL CONFERENCE ON ECONOMICS AND MANAGEMENT (ICEM), 2017, : 727 - 732
  • [22] Spatial and temporal evolution of urban carbon emission efficiency in China
    Zhao, Xiaochun
    Li, Taiwei
    Duan, Xin
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (53) : 114471 - 114483
  • [23] Spatial and temporal evolution of urban carbon emission efficiency in China
    Xiaochun Zhao
    Taiwei Li
    Xin Duan
    Environmental Science and Pollution Research, 2023, 30 : 114471 - 114483
  • [24] Spatial pattern and responsibility sharing of carbon transfer in China's inter-provincial grain trade
    Yang, Qinglin
    Zhao, Rongqin
    Luo, Huili
    Zhu, Ruiming
    Xiao, Liangang
    Xie, Zhixiang
    Sun, Jin
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2022, 38 (16): : 1 - 10
  • [25] Research on the Temporal and Spatial Pattern of Carbon Emissions of Civil Buildings in Chinese Provincial Cities
    Liu, Jing
    Yang, Tianjiao
    Yang, Tianyue
    Liu, Shanshan
    2020 4TH INTERNATIONAL WORKSHOP ON RENEWABLE ENERGY AND DEVELOPMENT (IWRED 2020), 2020, 510
  • [26] Measurement of Carbon Emission Transfer in China's Construction Industry and Analysis of Spatial and Temporal Distribution of Carbon Emissions
    Xiao, Wenwen
    Song, Wenhao
    Pei, Xuemei
    Wang, Lili
    GLOBAL CHALLENGES, 2025,
  • [27] Emphasizing egalitarianism in the allocation of China's provincial carbon emission allowances
    Cheng, Yonglong
    Tan, Xianchun
    Gu, Baihe
    Huang, Chen
    Yan, Hongshuo
    Niu, Miaomiao
    JOURNAL OF CLEANER PRODUCTION, 2023, 395
  • [28] Study of the Spatio-Temporal Differentiation of Factors Influencing Carbon Emission of the Planting Industry in Arid and Vulnerable Areas in Northwest China
    Huang, Yujie
    Su, Yang
    Li, Ruiliang
    He, Haiqing
    Liu, Haiyan
    Li, Feng
    Shu, Qin
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (01)
  • [29] Spatial Differentiation of China's Low Carbon Development
    Zhang, Jinping
    Meng, Dandan
    Dong, Jie
    PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON THE MODERN DEVELOPMENT OF HUMANITIES AND SOCIAL SCIENCE, 2013, : 438 - 440
  • [30] The spatial and temporal distribution of China's forest carbon
    Cheng, Fushan
    Tian, Jiaxin
    He, Jingyuan
    He, Huaijiang
    Liu, Guoliang
    Zhang, Zhonghui
    Zhou, Liping
    FRONTIERS IN ECOLOGY AND EVOLUTION, 2023, 11