Spatial-Temporal Characteristics and Influence Factors of Carbon Emission from Livestock Industry in China

被引:12
|
作者
Hao, Dequan [1 ]
Wang, Rui [1 ]
Gao, Chaojie [1 ]
Song, Xinyan [1 ]
Liu, Wenxin [1 ]
Hu, Guangyin [1 ]
机构
[1] Northwest A&F Univ, Coll Econ & Management, Yangling 712100, Xianyang, Peoples R China
基金
中国博士后科学基金;
关键词
livestock industry; carbon emissions; temporal variation; spatial feature; influence factors; China; CO2; EMISSIONS; AGRICULTURE; CONVERGENCE; GROWTH; WATER; IRAN;
D O I
10.3390/ijerph192214837
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Animal husbandry is an important source of carbon emissions. As a large country, China must measure the carbon emissions from animal husbandry to reveal the spatial and temporal characteristics and determine the influencing factors to realize low-carbon animal husbandry and carbon emission reduction. In this paper, the carbon emissions of the livestock industry in each province of China were calculated with the emission coefficient method, considering the temperature change factor. The spatial and temporal characteristics and influencing factors of livestock industry carbon emissions were analyzed using the kernel density model, the spatial autocorrelation model, and the Tobit model. The results indicated that: (1) From 2000 to 2020, carbon emissions from the livestock industry in China experienced four stages: rapid rise, rapid decline, slow rise, and fluctuating decline, with an overall downward trend. Carbon emissions in the eastern and central regions showed a downward trend, while carbon emissions in the western regions showed an upward trend. (2) In terms of time, the relative gap in carbon emissions among the provinces narrowed first and then widened; the spatial agglomeration of carbon emissions from livestock farming in China increased, gradually forming the characteristics of "high agglomeration, low agglomeration", and showing a gradually decreasing pattern from northwest to southeast. (3) Nationwide, industrial structure, population, and farmers' income levels have had significantly promoting effects on animal husbandry carbon emissions, and the urbanization and agricultural mechanization levels have had significant inhibitory effects on carbon emissions. Finally, based on the above factors, it can be concluded that recognizing the location conditions, promoting the upgrading of industrial structures, and adopting differentiated strategies will help to promote the reduction in carbon emissions in animal husbandry and achieve its high-quality development.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] Decoupling effect and spatial-temporal characteristics of carbon emissions from construction industry in China
    Zhou, Ying
    Hu, Dan
    Wang, Tong
    Tian, Huan
    Gan, Lu
    [J]. JOURNAL OF CLEANER PRODUCTION, 2023, 419
  • [2] Spatial-temporal characteristics and driving factors of carbon emissions from the construction industry in the Belt and Road region of China
    Yin, Xiuqin
    Lin, Ke
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2024, 12
  • [3] Spatial-temporal characteristics and regional differences of the freight transport industry's carbon emission efficiency in China
    Zhao, Xiyang
    Wang, Jianwei
    Fu, Xin
    Zheng, Wenlong
    Li, Xiuping
    Gao, Chao
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (50) : 75851 - 75869
  • [4] TEMPORAL AND SPATIAL EVOLUTION CHARACTERISTICS OF CARBON EMISSION FROM MANUFACTURING INDUSTRY IN GUANGDONG, CHINA
    Wang, Ran
    Zhang, Ting
    Wu, Xiang
    Xie, Yuxin
    Zhang, Yuankun
    Zheng, Liru
    [J]. JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY, 2022, 23 (06): : 2282 - 2288
  • [5] Measurement and Spatial-Temporal Characteristics of Agricultural Carbon Emission in China: An Internal Structural Perspective
    Wen, Shibin
    Hu, Yuxiang
    Liu, Hongman
    [J]. AGRICULTURE-BASEL, 2022, 12 (11):
  • [6] Spatial-temporal differentiation and influencing factors of marine fishery carbon emission efficiency in China
    Gao, Yuan
    Fu, Zhongwei
    Yang, Jun
    Yu, Miao
    Wang, Wenhui
    [J]. ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024, 26 (01) : 453 - 478
  • [7] Spatial-Temporal Characteristics of the Driving Factors of Agricultural Carbon Emissions: Empirical Evidence from Fujian, China
    Chen, Yihui
    Li, Minjie
    Su, Kai
    Li, Xiaoyong
    [J]. ENERGIES, 2019, 12 (16)
  • [8] Research on Spatial-temporal Characteristics and Affecting Factors Decomposition of Agricultural Carbon Emission in Suzhou City, Anhui Province,China
    Zhang, Yong
    Fang, Gang
    [J]. ADVANCES IN ENERGY SCIENCE AND TECHNOLOGY, PTS 1-4, 2013, 291-294 : 1385 - 1388
  • [9] Spatial-Temporal Characteristics and Factors of Agricultural Carbon Emissions in the Belt and Road Region of China
    Zhou, Ying
    Wang, Tong
    Peng, Rongcun
    Hu, Huimin
    [J]. POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2021, 30 (03): : 2445 - 2457
  • [10] Spatial-temporal characteristics of carbon emission intensity in electricity generation and spatial spillover effects of driving factors across China?s provinces
    Sun, Xiaoyan
    Lian, Wenwei
    Gao, Tianming
    Chen, Zizhan
    Duan, Hongmei
    [J]. JOURNAL OF CLEANER PRODUCTION, 2023, 405