Research on Spatial-Temporal Characteristics and Driving Factor of Agricultural Carbon Emissions in China

被引:0
|
作者
TIAN Yun [1 ,2 ]
ZHANG Jun-biao [1 ,2 ]
HE Ya-ya [1 ,2 ]
机构
[1] College of Economics & Management,Huazhong Agricultural University
[2] Hubei Rural Development Research Center,Huazhong Agricultural University
基金
中国国家自然科学基金; 中央高校基本科研业务费专项资金资助;
关键词
China; agricultural carbon emissions; spatial-temporal characteristics; driving factor; LMDI model;
D O I
暂无
中图分类号
F323 [农业经济建设与发展];
学科分类号
0202 ; 020205 ; 1203 ;
摘要
Macroscopic grasp of agricultural carbon emissions status, spatial-temporal characteristics as well as driving factors are the basic premise in further research on China’s agricultural carbon emissions. Based on 23 kinds of major carbon emission sources including agricultural materials inputs, paddy field, soil and livestock breeding, this paper firstly calculated agricultural carbon emissions from 1995 to 2010, as well as 31 provinces and cities in 2010 in China. We then made a decomposed analysis to the driving factors of carbon emissions with logarithmic mean Divisia index(LMDI) model. The results show:(1) The amount of agricultural carbon emissions is 291.1691 million t in 2010. Compared with 249.5239 million t in 1995, it increased by 16.69%, in which, agricultural materials inputs, paddy field, soil, enteric fermentation, and manure management accounted for 33.59, 22.03, 7.46, 17.53 and 19.39% of total agricultural carbon emissions, respectively. Although the amount exist ups and downs, it shows an overall trend of cyclical rise;(2) There is an obvious difference among regions: the amount of agricultural carbon emissions from top ten zones account for 56.68%, while 9.84 % from last 10 zones. The traditional agricultural provinces, especially the major crop production areas are the main source regions. Based on the differences of carbon emission rations, 31 provinces and cities are divided into five types, namely agricultural materials dominant type, paddy field dominant type, enteric fermentation dominant type, composite factors dominant type and balanced type. The agricultural carbon emissions intensity in west of China is the highest, followed by the central region, and the east zone is the lowest;(3) Compared with 1995, efficiency, labor and structure factors cut down carbon emissions by 65.78, 27.51 and 3.19%, respectively; while economy factor increase carbon emissions by 113.16%.
引用
收藏
页码:1393 / 1403
页数:11
相关论文
共 50 条
  • [21] The Spatial-Temporal Characteristics and Influential Factors of NOx Emissions in China: A Spatial Econometric Analysis
    Diao, Beidi
    Ding, Lei
    Su, Panda
    Cheng, Jinhua
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, 15 (07)
  • [22] An integrated perspective on the spatial-temporal characteristics of China's manufacturing carbon emissions at the regional and industry levels
    Wang, Luo
    You, Jianmin
    ENERGY REPORTS, 2023, 10 : 1688 - 1701
  • [23] Spatial-temporal Evolution Characteristics and Decoupling Analysis of Influencing Factors of China’s Aviation Carbon Emissions
    Ruiling Han
    Lingling Li
    Xiaoyan Zhang
    Zi Lu
    Shaohua Zhu
    Chinese Geographical Science, 2022, 32 : 218 - 236
  • [24] Spatial-temporal characteristics and influencing factors of county-level carbon emissions in Zhejiang Province, China
    Qi, Huibo
    Shen, Xinyi
    Long, Fei
    Liu, Meijuan
    Gao, Xiaowei
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (04) : 10136 - 10148
  • [25] Spatial-temporal variation and driving factors decomposition of agricultural grey water footprint in China
    Kong, Yang
    He, Weijun
    Zhang, Zhaofang
    Shen, Juqin
    Yuan, Liang
    Gao, Xin
    An, Min
    Ramsey, Thomas Stephen
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2022, 318
  • [26] Spatial-temporal Evolution Characteristics and Decoupling Analysis of Influencing Factors of China's Aviation Carbon Emissions
    HAN Ruiling
    LI Lingling
    ZHANG Xiaoyan
    LU Zi
    ZHU Shaohua
    Chinese Geographical Science, 2022, 32 (02) : 218 - 236
  • [27] Spatial-temporal Evolution Characteristics and Decoupling Analysis of Influencing Factors of China's Aviation Carbon Emissions
    Han Ruiling
    Li Lingling
    Zhang Xiaoyan
    Lu Zi
    Zhu Shaohua
    CHINESE GEOGRAPHICAL SCIENCE, 2022, 32 (02) : 218 - 236
  • [28] Research on Spatial-Temporal Characteristics and Affecting Factors of Agricultural Green Total Factor Productivity in Jiangxi Province
    Wang, Zhen
    Zhu, Jiayi
    Liu, Xieqihua
    Ge, Dongdong
    Liu, Bin
    SUSTAINABILITY, 2023, 15 (11)
  • [29] Spatial-Temporal Evolution Characteristics and Driving Factors of Rural Development in Northeast China
    Zhang, Xiaohan
    Wu, Haowei
    Li, Zhihui
    Li, Xia
    LAND, 2023, 12 (07)
  • [30] Spatial and temporal characteristics of coal consumption and carbon emissions in China
    Kao, Xiaoxuan
    Wang, Wensheng
    Zhu, Xuanyi
    Zhang, Jianmin
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (48) : 105770 - 105780