长江流域资源与环境 >> 2026, Vol. 35 >> Issue (1): 242-.doi: 10.11870/cjlyzyyhj202601019

• 农业发展 • 上一篇    下一篇

基于粮食功能区的长江经济带粮食种植碳排放公平性及潜力预测

於冉1,2,姚璐1*,苏越1,2,王成1,2   

  1. (1.安徽农业大学经济管理学院,安徽 合肥 230036;  2.安徽农业大学国土资源研究所,安徽 合肥 230036)

  • 出版日期:2026-01-20 发布日期:2026-01-20

Fairness and Potential Prediction of Carbon Emissions from Grain Planting in the Yangtze River Economic Belt Based on Grain Functional Areas

YU Ran1,2,YAO Lu1,SU Yue1,2,WANG Cheng1,2   

  1. (1.School of Economics and Management, Anhui Agricultural University, Hefei 230036,China ;2.Institute of Land Resources .Anhui Agricultural University, Hefei 230036, China)
  • Online:2026-01-20 Published:2026-01-20

摘要: 准确监测和分析粮食种植的碳排放动态对于指导农业低碳转型、保障地区生态平衡和实现可持续发展目标至关重要。采用生命周期法测算长江经济带的粮食种植碳排放量,基于粮食功能生产分区,利用Dagum基尼系数分析其公平性,同时基于STIRPAT扩展模型和情景分析法预测2023至2030年基准情景下的粮食种植碳排放变化趋势。结果表明:(1)2011~2022年间长江经济带粮食种植净碳汇总量呈波动上升的趋势,表现为“北高南低”的空间格局。(2)研究期间长江经济带整体公平性始终较为公平并呈改善趋势;地区间的碳排放差异是总体不公平的主要来源。(3)研究期间长江经济带大部分省市的粮食种植碳排放量已实现碳达峰。(4)预测期末长江经济带粮食种植碳排放强度形成粮食主销区>粮食主产区>粮食产销平衡区的格局。基于研究结果,在此基础上分析结果为各区域提供因地制宜控碳减排的建议。

Abstract: Accurately monitoring and analyzing the dynamics of carbon emissions from grain cultivation is crucial for guiding the transformation of low-carbon agriculture, ensuring regional ecological balance and achieving sustainable development goals. In this paper, the life cycle method was used to measure the carbon emissions from grain planting in the Yangtze River Economic Belt (YREB). Based on the functional production zoning of grain, the fairness was analyzed by using the dagum Gini coefficient. The change trend of carbon emissions from grain planting under the benchmark scenario from 2023 to 2030 was predicted based on STIRPAT extended model and scenario analysis. The results showed that: (1) The total net carbon sink of grain cultivation in the YREB showed a fluctuating upward trend from 2011 to 2022, and a spatial pattern of “high in the north and low in the South”. (2) The overall fairness was fair and showed an improvement trend. Regional differences in carbon emissions were the main source of overall inequity. (3) Carbon emissions from grain planting in most provinces and cities of the YREB had reached the peak. (4) The carbon emission intensity of grain planting formed a pattern of main grain sales area>main grain production area>grain production and marketing balance area. The results provided suggestions for regional carbon control and emission reduction according to local conditions.

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