对农业政策评估的系统审查:使用镜
Lina M Bastidas-Orrego1,2, Natalia Jaramillo3,4, Julián A Castillo-Grisales5
1Capital Contable Research Group, Corporación Universitaria Remington, Colombia.
Heliyon
|September 29, 2023
概括
本综述强调了农业政策评估方法在过去50年中的演变. 最近,如机器学习和基于代理的建模等复杂的方法正在出现,重点是农业环境政策的可持续性.
科学领域:
- 农业经济学 农业经济学
- 政策分析 政策分析
- 环境科学 环境科学
背景情况:
- 农业发展对于粮食安全至关重要,受到公共政策的影响.
- 政策必须适应不断变化的农村环境,包括气候变化,消费者偏好和可持续性问题.
- 前期和后期评估为政府农业政策决策提供了必要的信息.
研究的目的:
- 系统地审查过去50年来在农业政策效率评估中使用的方法,政策和变量.
- 评估现有的农业政策评估系统审查的质量.
- 描述农业政策评估中确定的措施和领域.
主要方法:
- 在多个数据库 (EBSCO,Dialnet,SciELO,Scopus,Science Direct,Dimensions,Web of Science) 中进行了系统的文献搜索.
- 最初确定了154份手稿,标题,摘要和完整文本进行了资格审查.
- 37个手稿符合纳入标准,PRISMA检查清单被用于方法质量评估.
主要成果:
- 一些有限的研究重点是设计农业政策评估方法.
- 当代政策评估越来越多地采用复杂的方法,如机器学习和基于代理的建模 (ABM).
- 可持续性是农业环境政策评估中的一个突出主题.
结论:
- 农业政策评估方法从基本的定量方法演变为更全面的定性和定量方法.
- 新出现的变量,如农业环境因素和市场动态,需要先进的评估技术.
- 了解这些方法的演变对于有效农业政策的评估和设计至关重要.
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