杨青林, 赵荣钦, 罗慧丽, 朱瑞明, 肖连刚, 谢志祥, 孙锦. 中国省际粮食贸易碳转移空间格局及其责任分担[J]. 农业工程学报, 2022, 38(16): 1-10. DOI: 10.11975/j.issn.1002-6819.2022.16.001
    引用本文: 杨青林, 赵荣钦, 罗慧丽, 朱瑞明, 肖连刚, 谢志祥, 孙锦. 中国省际粮食贸易碳转移空间格局及其责任分担[J]. 农业工程学报, 2022, 38(16): 1-10. DOI: 10.11975/j.issn.1002-6819.2022.16.001
    Yang Qinglin, Zhao Rongqin, Luo Huili, Zhu Ruiming, Xiao Liangang, Xie Zhixiang, Sun Jin. Spatial pattern and responsibility sharing of carbon transfer in China's inter-provincial grain trade[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2022, 38(16): 1-10. DOI: 10.11975/j.issn.1002-6819.2022.16.001
    Citation: Yang Qinglin, Zhao Rongqin, Luo Huili, Zhu Ruiming, Xiao Liangang, Xie Zhixiang, Sun Jin. Spatial pattern and responsibility sharing of carbon transfer in China's inter-provincial grain trade[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2022, 38(16): 1-10. DOI: 10.11975/j.issn.1002-6819.2022.16.001

    中国省际粮食贸易碳转移空间格局及其责任分担

    Spatial pattern and responsibility sharing of carbon transfer in China's inter-provincial grain trade

    • 摘要: 开展省域尺度粮食贸易碳转移空间格局及其责任分担研究,对于合理划分碳减排责任、探索面向粮食安全的省际协同碳减排策略具有重要现实意义。该研究采用2020年中国31个省级行政区截面数据,基于粮食贸易线性规划方法和粮食贸易碳排放量计算模型对省际粮食贸易及其碳排放进行了核算,并揭示了其空间转移格局;采用粮食贸易碳排放量责任分担计算方法探讨了各省份粮食贸易碳排放责任分布特征。结果表明:1)在省际粮食贸易与粮食贸易碳排放格局中,输出区主要为东北、华北、西北和华中地区,输入区主要为西南、华南和华东地区。2020年全国粮食贸易总量为1.53 亿t,输出区中东北地区累计向外输送7 126.54万t,占贸易总量的46.7%,华北地区累计向外输送2 617.38万t,占贸易总量的17.1%,西北地区累计向外输送455.51万t,占贸易总量的3.0%,华中地区累计向外输送5 069.71万t,占贸易总量的33.2%;2)粮食贸易碳排放在空间上呈现出"北碳南输、中碳西输"的流向格局,粮食贸易碳排放呈现"南-北"大、"东-西"小的流量特征。河北、山西、内蒙古、吉林、黑龙江、安徽、江西、河南、湖北、湖南、甘肃、宁夏、新疆是全国粮食碳排放输出区,南北方向粮食贸易碳排放流量共计9 119.82万t,东西方向粮食贸易碳排放流量共计2 229.49万t;3)粮食贸易碳排放转移过程中输入区较输出区而言应承担的碳减排责任更大,经济发达省份的责任占比较大,而经济规模较小的省份责任也相对较小。输出区分担碳减排比例平均为29.5%,输入区分担比例平均为70.5%;4)共担原则下输出区中安徽、黑龙江、吉林、江西、内蒙古、山西和新疆的分担比例较低,甘肃、河北、河南、湖北、湖南和宁夏的分担比例较高,受帮扶效应影响,经济发达省份对经济欠发达省份的帮扶较多,会承担较多减排责任。总体而言,基于共同责任分担原则,不仅有利于控制输出区、输入区的碳排放,而且对于稳固粮食主产区产量有积极作用,为此该研究针对性地提出保障区域粮食安全、公平合理分配区域间碳减排责任优化策略,以实现农业领域"双碳"战略与粮食安全双赢目标。

       

      Abstract: Abstract: The spatial pattern of carbon transfer is of practical significance for the responsibility sharing of carbon emission reduction. It is a high demand to explore the inter-provincial collaborative strategies of carbon emission reduction for food security. In this study, the inter-provincial grain trade and the carbon emission were calculated to determine the spatial transfer using the linear programming model of carbon emission in the grain trade. The cross-sectional data was selected from 31 provincial administrative regions in China in 2020. The distribution characteristics were analyzed for the carbon emission responsibility sharing of the grain trade in each province. The results were as follows: 1) In the carbon emission pattern of inter-provincial grain trade, the export areas were mainly distributed in the northeast, north, northwest, and central China, whereas, the import areas were mainly in the southwest, south, and east China. The total amount of grain trade was 1.53×108 t in China in 2020. Among the grain export areas, northeast, north, northwest, and central China transported 71.265 4, 26.173 8, 4.555 1, and 50.697 1 million tons, accounting for 46.7%, 17.1%, 3.0%, and 33.2% of the total trade volume, respectively. 2) The carbon emission of grain trade showed the flow pattern of "North carbon to South and China carbon to the west" in space, indicating the small flow from the south to the north and the east to the west. The national export areas of grain carbon emission included the Hebei, Shanxi, Inner Mongolia, Jilin, Heilongjiang, Anhui, Jiangxi, Henan, Hubei, Hunan, Gansu, Ningxia, and Xinjiang regions. The carbon emission flows of the grain trade in the north-south and east-west directions were 9 119.82×104, and 2 229.49×104 t, respectively. 3) The input area was needed to pay greater responsibility for the carbon emission reduction than the output area in the process of carbon emission transfer of grain trade. Economically developed provinces presented a relatively large share of responsibility, while those with smaller economies were relatively small responsibilities. There were 29.5% and 70.5% average proportions of carbon emission reduction shared by the output and the input area, respectively. 4) In the principle of shared responsibility, there was a low share proportion in Anhui, Heilongjiang, Jilin, Jiangxi, Inner Mongolia, Shanxi, and Xinjiang in the export areas, and the high share proportion was in Gansu, Hebei, Henan, Hubei, Hunan, and Ningxia. Influenced by the assistance effect, economically developed provinces provide more assistance to economically underdeveloped provinces and will assume more responsibility for emission reduction. In general, based on the principle of shared responsibility, it is not only conducive to controlling carbon emissions in export and import areas, but also plays a positive role in stabilizing the output of major grain producing areas. Therefore, the study puts forward targeted strategies to ensure regional food security and fair and reasonable distribution of carbon emission reduction responsibilities among regions, so as to achieve the win-win goal of "carbon neutral, carbon peak" strategy and food security.

       

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