在中国,在碳限制下,空间时间趋势和农业生态效率的不平等
Shuaibang Fan1, Hongyu Lin1, Na Luo2
1School of Public Administration, Dongbei University of Finance & Economics, Dalian, 116025, China.
Scientific reports
|July 2, 2025
概括
耕地使用的生态效率对于粮食安全至关重要. 本研究使用超效率EBM模型,揭示碳排放是关键约束因素,尽管效率长期上升趋势.
科学领域:
- 农业经济学 农业经济学
- 环境科学 环境科学
- 空间分析 空间分析
背景情况:
- 确保粮食安全和可持续农业面临着城市化和气候变化的挑战.
- 耕地利用的生态效率对于解决这些全球性问题至关重要.
研究的目的:
- 估计中国主要粮食生产地区耕地利用的生态效率.
- 在碳排放限制下识别低效率来源.
- 分析时空动态和生态效率的差异.
主要方法:
- 超效率EBM模型 (整合辐射和非辐射视角).
- 空间内核密度估计.
- 达格姆·吉尼系数. 达格姆·吉尼系数.
主要成果:
- 华河流域的生态效率比黄河 (0.559) 和长江流域 (0.587) 高 (0.718).
- 长期趋势显示出双极模式与空间聚合差异.
- 在0.4和0.9的效率水平之间观察到积极的空间溢出效应.
结论:
- 生态效率显示了"长期增长 - 短期下降"的趋势.
- 碳排放是主要的限制因素,虽然正在减少.
- 区域间差异和超变密度显著影响空间变化.
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