重新测量农业碳排放率:驱动因素,区域差异和动态演变
1School of Economics, Ocean University of China, Laoshan District, Qingdao, Shandong, China.
PloS one
|August 9, 2024
概括
中国的农业碳排放量正在下降,原因是技术进步,而不是效率提高. 排放率的区域差异正在显著扩大,需要针对可持续发展制定有针对性的战略.
科学领域:
- 农业经济学 农业经济学
- 环境科学 环境科学
- 数据科学数据科学数据科学
背景情况:
- 中国的农业部门面临着越来越大的压力,需要减少碳足迹.
- 了解碳排放效率的区域差异对于有效的政策制定至关重要.
研究的目的:
- 开发和应用一种新型模型 (BPNN-DDF) 来分析中国的农业碳排放率.
- 评估碳排放变化的驱动因素,并确定区域差异.
主要方法:
- 使用了与方向距离函数 (BPNN-DDF模型) 结合的反向传播神经网络.
- 从2010年到2021年,分析了9个主要农业分区域的数据.
- 用达格姆·吉尼系数和核密度分布来分析差异和趋势.
主要成果:
- 由于技术进步,中国农业碳排放量正在下降.
- 经济和气候稳定与更高的碳排放效率相关.
- 观察到亚区域之间的碳排放率差距显著扩大 (Gini从0.174到0.425).
结论:
- 技术进步是减少农业碳排放的主要驱动力.
- 解决分区域间的不平衡,促进可持续发展是未来低碳农业的关键.
- 需要有针对性的战略来缓解碳排放效率日益增长的差异.
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