Spatial-temporal differentiation characteristics and influencing factors of agricultural carbon emissions in Gansu Province
Received date: 2024-05-28
Revised date: 2024-07-29
Online published: 2025-05-13
Identifying the spatiotemporal characteristics and influencing factors of agricultural carbon emissions is essential for reducing uncertainty in carbon emission reduction target accounting and implementing accurate policies to achieve those targets. Based on agricultural carbon emission estimates in Gansu Province, China, from 2014 to 2022, this study employed the Moran’s I index to analyze the spatiotemporal differentiation characteristics of carbon emissions. The dynamic evolution trends were analyzed using the kernel density estimation method, and a geographically weighted regression model was constructed to identify the factors influencing agricultural carbon emissions. The results showed the following. (1) From 2014 to 2022, the agricultural carbon emissions in Gansu Province tended to decline. However, emissions from animal husbandry, identified as the primary source, exhibited an upward trend. The order of carbon emissions by region from highest to lowest was as follows: Hexi oasis agricultural area>Longdong-Longzhong Loess Plateau dry farming area>alpine pastoral area> Longnan Mountain rain-fed agricultural area. (2) The spatial agglomeration of total agricultural carbon emissions was weak and concentrated within the Hexi Oasis agricultural area. Notably, Jiuquan City and Zhangye City exhibited high-low agglomeration, while Jinchang City exhibited low-high agglomeration. Other regions exhibited no significant agglomeration patterns. (3) The carbon emission intensity across all four agricultural regions declined over the study period, and regional differences in the emission intensity gradually narrowed. (4) Per capita gross agricultural product, agricultural industrial structure, and total population demonstrated a significant role in reducing agricultural carbon emission. The disposable income of rural residents, amount of agricultural fertilizer used, and total power of agricultural machinery caused an increase in the carbon emissions. Finally, it was recommended to improve livestock and poultry varieties, implement moderate-scale breeding practices, and ensure accurate operation and management across the entire industrial chain to increase emission reduction efforts in animal husbandry. Furthermore, minimizing the use of agricultural materials such as fertilizers and plastic films, along with promoting the application of green technologies, is essential to achieving agricultural carbon reduction goals.
MA Haiqing , CHEN Qiangqiang . Spatial-temporal differentiation characteristics and influencing factors of agricultural carbon emissions in Gansu Province[J]. Arid Land Geography, 2025 , 48(5) : 879 -892 . DOI: 10.12118/j.issn.1000-6060.2024.329
| [1] | 张扬, 李涵, 赵正豪. 中国粮食作物种植变化对省际农业碳排放量的影响研究[J]. 中国农业资源与区划, 2023, 44(7): 29-38. |
| [Zhang Yang, Li Han, Zhao Zhenghao. Research on effects of grain crop planting changes on agricultural carbon emissions between provinces in China[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2023, 44(7): 29-38. ] | |
| [2] | 李劼, 徐晋涛. 我国农业低碳技术的减排潜力分析[J]. 农业经济问题, 2022(3): 117-135. |
| [Li Jie, Xu Jintao. Analysis of carbon reduction potential of low carbon technologies in China[J]. Issues in Agricultural Economics, 2022(3): 117-135. ] | |
| [3] | 孟庆雷, 殷宇翔, 王煜昊. 我国农业碳排放的时空演化、脱钩效应及绩效评估[J]. 中国农业科学, 2023, 56(20): 4049-4066. |
| [Meng Qinglei, Yin Yuxiang, Wang Yuhao. Spatial-temporal evolution, decoupling effect and performance evaluation of China’s agricultural carbon emissions[J]. Scientia Agricultura Sinica, 2023, 56(20): 4049-4066. ] | |
| [4] | 吉雪强, 李卓群, 张跃松. 农地流转对农业碳排放的影响及空间特性[J]. 资源科学, 2023, 45(1): 77-90. |
| [Ji Xueqiang, Li Zhuoqun, Zhang Yuesong. Influence of rural land transfer on agricultural carbon emissions and its spatial characteristics[J]. Resources Science, 2023, 45(1): 77-90. ] | |
| [5] | 贯君, 张少鹏, 任月, 等. 中国农业净碳汇时空分异与影响因素演进分析[J]. 中国环境科学, 2024, 44(2): 1158-1170. |
| [Guan Jun, Zhang Shaopeng, Ren Yue, et al. Random forest model-assisted evaluation of spatiotemporal differentiation of China’s agricultural net carbon sink and evolution of influencing factors[J]. China Environmental Science, 2024, 44(2): 1158-1170. ] | |
| [6] | 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 Yun, Zhang Junbiao, Li Bo. Agricultural carbon emissions in China: Calculation, spatial-temporal comparison and decoupling effects[J]. Resources Science, 2012, 34(11): 2097-2105. ] | |
| [7] | 李波, 张俊飚, 李海鹏. 中国农业碳排放时空特征及影响因素分解[J]. 中国人口·资源与环境, 2011, 21(8): 80-86. |
| [Li Bo, Zhang Junbiao, Li Haipeng. Research on spatial-temporal characteristics and affecting factors decomposition of agricultural carbon emission in China[J]. China Population, Resources and Environment, 2011, 21(8): 80-86. ] | |
| [8] | 王树芬, 高冠龙, 李伟, 等. 2000—2020年山西省农业碳排放时空特征及趋势预测[J]. 农业环境科学学报, 2023, 42(8): 1882-1892. |
| [Wang Shufen, Gao Guanlong, Li Wei, et al. Carbon emissions from agricultural and animal husbandry in Shanxi Province: Temporal and regional aspects, and trend forecast[J]. Journal of Agro-Environment Science, 2019, 42(8): 1882-1892. ] | |
| [9] | 杨思存, 霍琳, 王成宝, 等. 基于STIRPAT模型的甘肃省农业碳排放特征分析[J]. 干旱区地理, 2023, 46(9): 1493-1502 |
| [Yang Sicun, Huo Lin, Wang Chengbao, et al. Characteristics of agricultural carbon emission in Gansu Province based on STIRPAT model[J]. Arid Land Geography, 2023, 46(9): 1493-1502. ] | |
| [10] | 周一凡, 李彬, 张润清. 县域尺度下河北省农业碳排放时空演变与影响因素研究[J]. 中国生态农业学报, 2022, 30(4): 570-581. |
| [Zhou Yifan, Li Bin, Zhang Runqing. Spatiotemporal evolution and influencing factors of agricultural carbon emissions in Hebei Province at the county scale[J]. Chinese Journal of Eco-Agriculture, 2022, 30(4): 570-581. ] | |
| [11] | 卢奕亨, 田云, 周丽丽. 四川省农业碳排放时空演变特征及其影响因素研究[J]. 中国农业资源与区划, 2023, 44(11): 1-14. |
| [Lu Yiheng, Tian Yun, Zhou Lili. Spatial-temporal evolution and influencing factors of agricultural carbon emissions in Sichuan Province[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2023, 44(11): 1-14. ] | |
| [12] | 夏四友, 赵媛, 许昕, 等. 1997—2016年中国农业碳排放率的时空动态与驱动因素[J]. 生态学报, 2019, 39(21): 7854-7865. |
| [Xia Siyou, Zhao Yuan, Xu Xin, et al. Spatiotemporal dynamics and driving analysis of agricultural carbon emissions rate in China from 1997 to 2016[J]. Acta Ecologica Sinica, 2019, 39(21): 7854-7865. ] | |
| [13] | 范大莎, 杨旭, 吴相利, 等. 东北三省农田生态系统碳排放时空分异特征及驱动因素研究[J]. 环境科学学报, 2017, 37(7): 2797-2804. |
| [Fan Dasha, Yang Xu, Wu Xiangli, et al. Spatial-temporal differentiation of agro-ecosystem carbon emissions in northeast China and its driving factors[J]. Acta Scientiae Circumstantiae, 2017, 37(7): 2797-2804. ] | |
| [14] | Huang X B, Gao S Q. Temporal characteristics and influencing factors of agricultural carbon emission in Jiangxi Province of China[J]. Environmental Research Communications, 2022, 4(4): 045006, doi: 10.1088/2515-7620/ac6380. |
| [15] | Li J J, Li S W, Liu Q, et al. Agricultural carbon emission efficiency evaluation and influencing factors in Zhejiang Province, China[J]. Frontiers in Environmental Science, 2022, 10: 1005251, doi: 10.3389/fenvs.2022.100525. |
| [16] | 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. |
| [17] | 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 Yun, Yin Minhao, Zhang Huijie. Spatial-temporal pattern, influencing factors and spatial spillover effects of rural energy carbon emissions in China[J]. Scientia Agricultura Sinica, 2023, 56(13): 2547-2562. ] | |
| [18] | 夏文浩, 霍瑜, 逯渊, 等. 新疆农业碳排放的时空差异与空间溢出效应分析[J]. 干旱区地理, 2024, 47(6): 1084-1096. |
| [Xia Wenhao, Huo Yu, Lu Yuan, et al. Spatialtemporal differences and spatial spillover effects of agricultural carbon emissions in Xinjiang[J]. Arid Land Geography, 2024, 47(6): 1084-1096. ] | |
| [19] | 崔盼盼, 赵媛, 张丽君, 等. 基于不同需求层次的中国城镇居民消费隐含碳排放时空演变机制[J]. 生态学报, 2020, 40(4): 1424-1435. |
| [Cui Panpan, Zhao Yuan, Zhang Lijun, et al. Spatial-temporal evolution and driving mechanism of per capita indirect carbon emissions based on different levels from urban residents’ consumption in China[J]. Acta Ecologica Sinica, 2020, 40(4): 1424-1435. ] | |
| [20] | 常青, 蔡为民, 谷秀兰, 等. 河南省农业碳排放时空分异、影响因素及趋势预测[J]. 水土保持通报, 2023, 43(1): 367-377. |
| [Chang Qing, Cai Weimin, Gu Xiulan, et al. Spatial-temporal variation, influencing factors, and trend prediction of agricultural carbon emissions in Henan Province[J]. Bulletin of Soil and Water Conservation, 2023, 43(1): 367-377. ] | |
| [21] | 郑博福, 梁涵, 万炜, 等. 江西省县域农业碳排放时空格局及影响因素分析[J]. 农业工程学报, 2022, 38(23): 70-80. |
| [Zheng Bofu, Liang Han, Wan Wei, et al. Spatial-temporal pattern and influencing factors of agricultural carbon emissions at the county level in Jiangxi Province of China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2022, 38(23): 70-80. ] | |
| [22] | Xiong C H, Yang D G, Huo J W, et al. The relationship between agricultural carbon emissions and agricultural economic growth and policy recommendations of a low-carbon agriculture economy[J]. Polish Journal of Environmental Studies, 2016, 25(5): 2187-2195. |
| [23] | 宁静, 李亚洁, 王震, 等. 中国粮食主产省区农业碳排放特征及影响因素[J]. 水土保持研究, 2024, 31(1): 450-459. |
| [Ning Jing, Li Yajie, Wang Zhen, et al. Characteristics and influencing factors of agricultural carbon emissions in major grain-producing provinces in China[J]. Research of Soil and Water Conservation, 2019, 31(1): 450-459. ] | |
| [24] | 马志超. 黄河流域农业碳排放与经济增长时空耦合关系研究[J]. 中国农业资源与区划, 2024, 45(12): 15-26. |
| [Ma Zhichao. Spatial-temporal coupling relationship between agricultural carbon emissions and economic growth in the Yellow River Basin[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2024, 45(12): 15-26. ] | |
| [25] | 苏洋, 马惠兰, 李凤. 新疆农牧业碳排放及其与农业经济增长的脱钩关系研究[J]. 干旱区地理, 2014, 37(5): 1047-1054. |
| [Su Yang, Ma Huilan, Li Feng. Xinjiang agriculture and animal husbandry carbon emissions and its decoupling relationship with agricultural economic growth[J]. Arid Land Geography, 2014, 37(5): 1047-1054. ] | |
| [26] | 张志高, 袁征, 刘雪, 等. 基于投入视角的农业碳排放与经济增长的脱钩效应分析——以河南省为例[J]. 水土保持研究, 2017, 24(5): 272-278. |
| [Zhang Zhigao, Yuan Zheng, Liu Xue, et al. Decoupling analysis of agricultural carbon emissions and economic development based on input angle of view: Taking Henan Province for example[J]. Research of Soil and Water Conservation, 2017, 24(5): 272-278. ] | |
| [27] | 陈睿涛, 李薇, 燕振刚. 甘肃省农业碳排放区域差异、时空特征及趋势预测[J]. 草业科学, 2023, 40(1): 287-302. |
| [Chen Ruitao, Li Wei, Yan Zhengang. Regional differences in the spatial and temporal characteristics and trend prediction of agricultural carbon emissions in Gansu Province[J]. Pratacultural Science, 2023, 40(1): 287-302. ] | |
| [28] | 何炫蕾, 陈兴鹏, 庞家幸. 基于LMDI的兰州市农业碳排放现状及影响因素分析[J]. 中国农业大学学报, 2018, 23(7): 150-158. |
| [He Xuanlei, Chen Xingpeng, Pang Jiaxing. Analysis on the status and influencing factors of agricultural carbon emission in Lanzhou based on LMDI[J]. Journal of China Agricultural University, 2018, 23(7): 150-158. ] | |
| [29] | 田成诗, 陈雨. 中国省际农业碳排放测算及低碳化水平评价——基于衍生指标与TOPSIS法的运用[J]. 自然资源学报, 2021, 36(2): 395-410. |
| [Tian Chengshi, Chen Yu. China’s provincial agricultural carbon emissions measurement and low carbonization level evaluation: Based on the application of derivative indicators and TOPSIS[J]. Journal of Natural Resources, 2021, 36(2): 395-410. ] | |
| [30] | 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 Xiangdong, Wang Jimin. Estimation of livestock greenhouse gases discharge in China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(10): 247-252. ] | |
| [31] | 石志恒, 王瑞霞. 中国农业现代化与碳排放效率的耦合协调关系研究[J]. 干旱区资源与环境, 2024, 38(8): 1-12. |
| [Shi Zhiheng, Wang Ruixia. Research on the coupling coordination relationship between agricultural modernization and carbon emission efficiency in China[J]. Journal of Arid Land Resources and Environment, 2024, 38(8): 1-12. ] | |
| [32] | 孙晓华, 柴玲玲. 相关多样化、 无关多样化与地区经济发展——基于中国282个地级市面板数据的实证研究[J]. 中国工业经济, 2012(6): 5-17. |
| [Sun Xiaohua, Chai Lingling. Related diversification, unrelated diversification and regional economic development: Evidences from panel data on China’s 282 prefecture-level city[J]. China Industrial Economics, 2012(6): 5-17. ] | |
| [33] | 王翌秋, 徐丽, 曹蕾. “双碳”目标下农业机械化与农业绿色发展——基于绿色全要素生产率的视角[J]. 华中农业大学学报(社会科学版), 2023(6): 56-69. |
| [Wang Yiqiu, Xu Li, Cao Lei. Agricultural mechanization and agricultural green development under the “dual carbon”goal: A perspective based on green total factor productivity[J]. Journal of Huazhong Agricultural University (Social Sciences Edition), 2023(6): 56-69. ] | |
| [34] | 宁静, 王震, 杜国明, 等. 东北地区农业碳排放特征与农业经济的脱钩状态分析[J]. 经济地理, 2023, 43(11): 173-180. |
| [Ning Jing, Wang Zhen, Du Guoming, et al. Characteristics of agricultural carbon emissions in northeast China and its decoupling state with agricultural economy[J]. Economic Geography, 2023, 43(11): 173-180. ] |
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