在气候智能农业方向下,食品安全和碳排放效率的结合协调和途径分析
Cong Sun1, Enjun Xia1, Jieping Huang1
1School of Management, Beijing Institute of Technology, Beijing 100081, China.
The Science of the total environment
|July 13, 2024
概括
实现粮食安全和农业碳排放效率之间的协调发展是可持续农业的关键. 本研究确定了优化这种合的途径和区域差异,为低碳农业提供政策支持.
科学领域:
- 农业经济学 农业经济学
- 环境科学 环境科学
- 可持续发展 可持续发展
背景情况:
- 农业生产与环境保护之间的内在冲突需要为粮食安全和碳减排提供综合解决方案.
- 实现粮食安全和农业碳排放效率之间的结合和协调发展对于农业的长期可持续性至关重要.
研究的目的:
- 测量中国粮食安全指数 (FSI) 和农业碳排放效率 (ACEE) 之间的合协调程度 (CCD).
- 通过分析气候智能农业 (CSA) 技术,外部环境和激励措施来确定实现高CCD的最佳途径.
- 在不同的CSA优先级场景 (粮食安全与减排) 下模拟路径选择差异.
主要方法:
- 采用合协调模型来评估FSI-ACEE关系.
- 利用动态定性比较分析 (动态QCA) 来探索高CCD的因果配置.
- 分析了2010年至2021年间来自中国31个省份的数据.
主要成果:
- 中国的FSI和ACEE的CCD显示出同比大幅增加,区域差异显著 (东北>东部>西部>中部).
- 确定了高CCD的两个主要途径:"技术-环境保护"和"技术-环境激励".
- 路径的有效性因区域背景和优先级设置而异;在优先考虑粮食安全时",技术-环境-激励"路径有利于高CCD,而这两条路径对于减排优先级是有效的,城市化和特定的CSA技术变得至关重要.
结论:
- 由于社会经济,生态和政治景观的多样性,CSA实践的区域定制是必不可少的.
- 政策支持对于保障粮食安全和通过量身定制的CSA战略促进低碳农业至关重要.
- 特定的CSA技术,如节水灌和草回收,起着至关重要的作用,特别是在减排优先级下.
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