中国畜牧业碳排放再测算:现状特征、动态演进及空间相关性

Abstract
Figure/Table
References
Related Citation (4)

Download: PDF (657 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract This paper takes the period from 2005 to 2022 as the examination period, and discusses the dynamic evolution law and spatial correlation characteristics of China's animal husbandry on the basis of re-measuring its carbon emissions and analyzing its current characteristics. The results show that the total amount of carbon emissions from China's animal husbandry in the study period has fluctuated, but the overall trend is declining, the carbon emission intensity has been in a continuous downward trend, only the inter-annual rate of decline is different, cattle and hog feeding is the key driver of carbon emissions from the animal husbandry. In 2022, the carbon emissions of the animal husbandry in each province and region were significantly different, and the top 10regions were mainly identified as core livestock production areas or grain production areas. The carbon emissions intensity of the animal husbandry in the interprovincial area was characterized by a distribution pattern of 'high in the northwest and low in the southeast'. The 30 provinces and regions were categorized into four types, such as those driven by cattle feeding and those driven by hog feeding, based on the composition of the carbon emissions of the animal husbandry in each region. During the study period, the carbon emission intensity of the animal husbandry as a whole, as well as that of cattle and sheep rearing, showed an obvious downward trend and the inter-provincial gap narrowed significantly; while the carbon emission intensity of hog rearing also declined, but the inter-provincial gap widened significantly. During the study period, the carbon emission intensity of China's animal husbandry has always had a significant spatial dependence, with low-low agglomeration as the main focus and high-high agglomeration as the secondary focus, and showing the characteristic of “the low is always low and the high is always high”.

Key words： agricultural carbon emission animal husbandry carbon emission current situation dynamic evolution spatial correlation

Received: 22 August 2024

PACS:

X196

Corresponding Authors: 田云,副教授,tianyun1986@163.com E-mail: tianyun1986@163.com

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	TIAN Yun
	XIA Rui
	LI Bei

Cite this article:

TIAN Yun,XIA Rui,LI Bei. Re-evaluation of China’s animal husbandry carbon emission: Current characteristics, dynamic evolution, and spatial correlation[J]. CHINA ENVIRONMENTAL SCIENCECE, 2025, 45(3): 1686-1698.

URL:

http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2025/V45/I3/1686

[1] Bova S, Rosenthal Y, Liu Z, et al. Seasonal origin of the thermal maxima at the Holocene and the last interglacial[J]. Nature, 2021,589(7843):548-553.
[2] 国家统计局.中国统计年鉴2023[M].北京:中国统计出版社, 2023. National Bureau of Statistics of China. China statistical yearbook 2023[M]. Beijing:China Statistics Press, 2023.
[3] 中华人民共和国生态环境部.中华人民共和国气候变化第四次国家信息通报[R].北京:中华人民共和国生态环境部, 2023. Ministry of Ecology and Environment of the People's Republic of China. The fourth national information bulletin on climate change of the People's Republic of China[R]. Beijing:Ministry of Ecology and Environment of the People's Republic of China, 2023.
[4] Gert-Jan M, Andre B, David C. Greenhouse gas abatement strategies for animal husbandry[J]. Agriculture, Ecosystems and Environment, 2005,112(2):163-170.
[5] Melse R W, Van der Werf A W. Biofiltration for mitigation of methane emission from animal husbandry[J]. Environmental science& technology, 2005,39(14):5460-5468.
[6] Michael S, Henry N. Modeled effects of policy instruments to mitigate greenhouse gas emissions from livestock farming systems in southwest Germany[J]. International Congress Series, 2006,1293:96-99.
[7] 董红敏,李玉娥,陶秀萍,等.中国农业源温室气体排放与减排技术对策[J].农业工程学报, 2008,24(10):269-273. Dong H M, Li Y E, Tao X P, et al. China greenhouse gas emissions from agricultural activities and its mitigation strategy[J]. Transactions of the Chinese Society of Agricultural Engineering, 2008,24(10):269-273.
[8] 闵继胜,胡浩.中国农业生产温室气体排放量的测算[J].中国人口·资源与环境, 2012,22(7):21-27. Min J S, Hu H. Calculation of greenhouse gases emission from agricultural production in China[J]. China Population, Resources and Environment, 2012,22(7):21-27.
[9] 田云,张俊飚,李波.中国农业碳排放研究:测算、时空比较及脱钩效应[J].资源科学, 2012,34(11):2097-2105. Tian Y, Zhang J B, Li B. Agricultural carbon emissions in China:Calculation, spatial-temporal comparison and decoupling effects[J]. Resources Science, 2012,34(11):2097-2105.
[10] 胡向东,王济民.中国畜禽温室气体排放量估算[J].农业工程学报, 2010,26(10):247-252. Hu X D, Wang J M. Estimation of livestock greenhouse gases discharge in China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2010,26(10):247-252.
[11] 姚成胜,钱双双,李政通,等.中国省际畜牧业碳排放测度及时空演化机制[J].资源科学, 2017,39(4):698-712. Yao C S, Qian S S, Li Z T, et al. Provincial animal husbandry carbon emissions in China and temporal-spatial evolution mechanism[J]. Resources Science, 2017,39(4):698-712.
[12] 郭娇,齐德生,张妮娅,等.中国畜牧业温室气体排放现状及峰值预测[J].农业环境科学学报, 2017,36(10):2106-2113. Guo J, Qi D S, Zhang N Y, et al. Chinese greenhouse gas emissions livestock:Trend and predicted peak value[J]. Journal of Agro-Environment Science, 2017,36(10):2106-2113.
[13] 吴强,张园园,张明月.中国畜牧业碳排放的量化评估、时空特征及动态演化:2001~2020[J].干旱区资源与环境, 2022,36(6):65-71. Wu Q, Zhang Y Y, Zhang M Y. Quantitative assessment, temporal and spatial characteristics and dynamic evolution of China's animal husbandry carbon emissions[J]. Journal of Arid Land Resources and Environment, 2022,36(6):65-71.
[14] Yan J L, Zhang Y Y. Quantitative assessment, spatial and temporal characteristics, and dynamic evolution of carbon emissions from animal husbandry in China:2001~2020[J]. Environmental Science and Pollution Research, 2023,30(54):116186-116201.
[15] 谢婷,张慧,何家军,等.华中地区畜牧业温室气体排放特征分析与预测[J].中国环境科学, 2020,40(2):564-572. Xie T, Zhang H, He J J, et al. Characteristics and prediction of greenhouse gas emission from livestock industry in Central China[J]. China Environmental Science, 2020,40(2):564-572.
[16] Wei C B, Sha Y Y, Hou Y W, et al. Spatial-temporal evolution and influencing factors of animal husbandry carbon emissions:A case study of Shandong province, China[J]. Sustainability, 2024,16(9):3640.
[17] 张永强,张涛.内蒙古自治区畜牧业碳排放动态演变及公平性分析[J].中国农业资源与区划, 2024,45(11):205-216. Zhang Y Q, Zhang T. Dynamic evolution and fairness analysis of carbon emissions from animal husbandry in Inner Mongolia Autonomous Region[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2024,45(11):205-216.
[18] 邹洁,项朝阳.中国大陆畜牧业环境效率测算及影响因素研究[J].环境污染与防治, 2016,38(1):90-96. Zou J, Xiang C Y. Research on the livestock environmental efficiency in mainland China and its influencing factors[J]. Environmental Pollution& Control, 2016,38(1):90-95.
[19] 许标文,沈智扬,林国华.中国畜牧业绿色全要素生产率演变及区域差异研究[J].中国生态农业学报(中英文), 2019,27(4):613-622. Xu B W, Shen Z Y, Lin G H. Evolution of green total factor productivity and regional disparity in China's husbandry[J]. Chinese Journal of Eco-Agriculture, 2019,27(4):613-622.
[20] 张晓雷,马丁,王天日.黑龙江省畜牧业碳排放效率及影响因素研究[J].黑龙江畜牧兽医, 2020,(4):7-12. Zhang X L, Ma D, Wang T R. Study on carbon emission efficiency and influencing factors of animal husbandry in Heilongjiang Province[J]. Heilongjiang Animal Science and Veterinary Medicin, 2020,(4):7-12.
[21] 林紫藤,张艳荣.我国畜牧业绿色全要素生产率时空差异及影响因素研究[J].生态与农村环境学报, 2023,39(9):1144-1157. Lin Z T, Zhang Y R. Temporal and spatial differences and influencing factors of green total factor productivity of animal husbandry in China[J]. Journal of Ecology and Rural Environment, 2023,39(9):1144-1157.
[22] 尚莉媛,崔姹,赵慧峰.京津冀畜牧业碳排放效率时空演变特征及影响因素分析[J].中国农业资源与区划, 2023,44(12):190-199. Shang L Y, Cui C, Zhao H F. Spatial-temporal evolution characteristics and influencing factors of carbon emission efficiency of animal husbandry in Beijing-Tianjin-Hebei Region[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2023,44(12):190-199.
[23] 姚成胜,钱双双,毛跃华,等.中国畜牧业碳排放量变化的影响因素分解及空间分异[J].农业工程学报, 2017,33(12):10-19. Yao C S, Qian S S, Mao Y H, et al. Decomposition of impacting factors of animal husbandry carbon emissions change and its spatial differences in China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017,33(12):10-19.
[24] He T, Lin X W, Qu Y L, et al. Study on the relationship between economic growth of animal husbandry and carbon emission based on logarithmic average index method and decoupling model:A case study of Heilongjiang province[J]. Sustainability, 2023,15(13):9964.
[25] 白雪冰,胡浩,周应恒,等.中国畜牧业碳排放的时空演进及其影响因素分析[J].中国农业大学学报, 2023,28(9):260-274. Bai X B, Hu H, Zhou Y H, et al. Study on space-time evolution and influence factors of carbon emissions in China's animal husbandry[J]. Journal of China Agricultural University, 2023,28(9):260-274.
[26] Du R R, He T, Khan A, et al. Carbon emissions changes of animal husbandry in China:Trends, attributions, and solutions:A spatial shift-share analysis[J]. Science of the Total Environment, 2024,929:172490.
[27] 陈卫洪,钱海慧,颜光耀.畜牧业产业集聚对畜牧业碳排放的影响--基于库兹涅茨曲线与空间间接效应分析[J].黑龙江畜牧兽医, 2023,(20):10-21. Chen W H, Qian H H, Yan G Y. study on low-carbon production behavior of beef cattle farmers and its influencing factors[J]. Heilongjiang Animal Science and Veterinary Medicin, 2023,(20):10-21.
[28] 李明,肖海峰.畜产品进口对畜牧业碳排放的影响及其空间效应[J].中国农业大学学报, 2024,29(2):176-191. Li M, Xiao H F. Impact of livestock products import on carbon emissions from livestock industry and its spatial effect[J]. Journal of China Agricultural University, 2024,29(2):176-191.
[29] 汪开英,李鑫,陆建定,等.碳中和目标下畜牧业低碳发展路径[J].农业工程学报, 2022,38(1):230-238. Wang K Y, Li X, Lu J D, et al. Low-carbon development strategies of livestock industry to achieve goal of carbon neutrality in China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2022, 38(1):230-238.
[30] 陈秋红,张园园.中国畜牧业碳减排政策演进--基于452份政策文本的分析[J].华中农业大学学报(社会科学版), 2022,(1):10-23. Chen Q H, Zhang Y Y. evolution of carbon reduction policies for animal husbandry-An analysis based on 452 policies[J]. Journal of Huazhong Agricultural University (Social Sciences Edition), 2022,(1):10-23.
[31] 张越杰,闫佳惠.中国肉牛产业碳排放的达峰假象--基于EKC理论的实证分析与检验[J].农业经济问题, 2022,(6):93-105. Zhang Y J, Yan J H. The false appearance of peaking carbon emissions in China's beef cattle industry:Empirical analysis and test based on EKC theory[J]. Issues in Agricultural Economy, 2022,(6):93-105.
[32] 王如玉,肖海峰.中国肉羊养殖碳排放时空演化及减排路径研究[J].家畜生态学报, 2024,45(3):46-54. Wang R Y, Xiao H F. Spatial-temporal evolution and emission reduction path of carbon emissions from mutton sheep breeding in China[J]. Journal of Domestic Animal Ecology, 2024,45(3):46-54.
[33] 唐洪松,苏洋,马惠兰,等.新疆畜牧业碳排放格局与公平性研究[J].干旱区地理, 2017,40(6):1338-1345. Tang H S, Su Y, Ma H L, et al. Spatial and temporal distribution and equity of carbon emissions from livestock in Xinjiang[J]. Arid Land Geography, 2017,40(6):1338-1345.
[34] 孟祥海,程国强,张俊飚,等.中国畜牧业全生命周期温室气体排放时空特征分析[J].中国环境科学, 2014,34(8):2167-2176. Meng X H, Cheng G Q, Zhang J B, et al. Analyze on the spatial-temporal characteristics of GHG estimation of livestock's by life cycle assessment in China[J]. China Environmental Science, 2014,34(8):2167-2176.
[35] Tian Y, Zhang J B, He Y Y. Research on spatial-temporal characteristics and driving factor of agricultural carbon emissions in China[J]. Journal of Integrative Agriculture, 2014,13(6):1393-1403.
[36] 蒋金荷.中国城镇住宅碳排放强度分析和用能政策反思[J].数量经济技术经济研究, 2015,32(6):90-104. Jiang J H. China's urban residential carbon intensity decomposition and energy policy rethink[J]. Journal of Quantitative& Technological Economics, 2015,32(6):90-104.
[37] 田云,尹忞昊.中国农业碳排放再测算:基本现状、动态演进及空间溢出效应[J].中国农村经济, 2022,(3):104-127. Tian Y, Yin M H. Re-evaluation of China's agricultural carbon emissions:Basic status, dynamic evolution and spatial spillover effects[J]. Chinese Rural Economy, 2022,(3):104-127.
[38] 黄少安,孙圣民,宫明波.中国土地产权制度对农业经济增长的影响--对1949~1978年中国大陆农业生产效率的实证分析[J].中国社会科学, 2005,(3):38-47. Huang S A, Sun S M, Gong M B. The impact of land ownership structure on agricultural economic growth:An empirical analysis on agricultural production efficiency on the Chinese Mainland (1949~1978)[J]. Social Sciences in China, 2005,(3):38-47.
[39] 马林静,王雅鹏,吴娟.中国粮食生产技术效率的空间非均衡与收敛性分析[J].农业技术经济, 2015,(4):4-12. Ma L J, Wang Y P, Wu J. Spatial imbalance of technical efficiency in China's grain production and convergence analysis[J]. Journal of Agrotechnical Economics, 2015,(4):4-12.
[40] 吉雪强,张跃松.长江经济带种植业碳排放效率空间关联网络结构及动因[J].自然资源学报, 2023,38(3):675-693. Ji X Q, Zhang Y S. Spatial correlation network structure and motivation of carbon emission efficiency in planting industry in the Yangtze River Economic Belt[J]. Journal of Natural Resources, 2023, 38(3):675-693.
[41] 贺青,张俊飚.粮食主产区农业碳排放的动态演进及驱动因素研究[J].生态经济, 2023,39(6):123-128. He Q, Zhang J B. Research on the dynamic evolution and driving factors of agricultural carbon emissions in major grain-producing areas[J]. Ecological Economy, 2023,39(6):123-128.
[42] 李云燕,张硕.中国城市碳排放强度时空演变与影响因素的时空异质性[J].中国环境科学, 2023,43(6):3244-3254. Li Y Y, Zhang S. Spatio-temporal evolution of urban carbon emission intensity and spatiotemporal heterogeneity of influencing factors in China[J]. China Environmental Science, 2023,43(6):3244-3254.
[43] 许嘉俊,杨晓军,李睿.城市居民生活碳排放及影响因素的时空异质性[J].中国环境科学, 2024,44(3):1732-1742. Xu J J, Yang X J, Li R. The spatial and temporal heterogeneity of carbon emission and its driving forces in urban households[J]. China Environmental Science, 2024,44(3):1732-1742.
[44] 田云,尹忞昊,张蕙杰.我国农村能源碳排放时空格局、影响因素及空间溢出效应[J].中国农业科学, 2023,56(13):2547-2562. Tian Y, Yin M H, Zhang H J. Spatial-temporal pattern, influencing factors and spatial spillover effect of rural energy carbon emissions in China[J]. Scientia Agricultura Sinica, 2023,56(13):2547-2562.
[45] 罗兴,徐贤焱,何奇龙,等.县域数字普惠金融与数字乡村建设耦合协调发展及其影响因素分析[J].农村金融研究, 2023,(7):23-37. Luo X, Xu X Y, He Q L, et al. Analysis on the coupling and coordinated development of county-level digital inclusive finance and digital rural construction and its influencing factors[J]. Rural Finance Research, 2023,(7):23-37.