根据粮食类别和获取来源为撒哈拉以南非洲国家统一的食品消费数据集
Amaka P Nnaji1, Didier Yelognisse Alia2, Ahana Raina2
1Evans School Policy Analysis Research (EPAR) group, Daniel J. Evans School of Public Policy and Governance, University of Washington, Seattle, WA, USA. annaji@uw.edu.
Scientific data
|January 21, 2026
概括
一个新的协调数据集提供了对16个撒哈拉以南非洲国家的食品消费的见解. 这个资源可以进行跨国比较,并分析粮食安全驱动因素.
科学领域:
- 农业经济学 农业经济学
- 发展经济学 发展经济学
- 食品安全研究 食品安全研究
背景情况:
- 家庭消费是低收入和中等收入国家 (LMICs) 福祉的关键指标.
- 在这些地区,粮食支出占家庭总支出的很大一部分,农业是这些地区的主要生计.
- 现有的数据限制阻碍了对食品消费模式及其决定因素的全面分析.
研究的目的:
- 引入一套关于16个撒哈拉以南非洲国家的家庭食品消费价值的新统一数据集.
- 标准化食品消费指标,货币化非市场消费,并提供食品项目级估计.
- 通过公开提供处理代码和微数据来促进可重复的研究.
主要方法:
- 使用来自全国代表性家庭调查 (2008-2021) 的消费模块构建统一的数据集.
- 指标的标准化,包括非市场食品消费的货币化.
- 为了透明度和复制,公开发布处理代码和记录级微数据.
主要成果:
- 一个全面的数据集,涵盖16个撒哈拉以南非洲国家 (2008-2021) 的食品消费价值按类别和获取来源.
- 标准化和货币化食品消费估计,包括项目级数据.
- 公共可访问的数据,代码和可视化,以加强研究和政策参与.
结论:
- 新的数据集使得随着时间的推移,食品消费模式在各国之间进行了可靠的比较.
- 它是分析食品消费驱动因素和影响的宝贵资源,特别是当与气候和卫星数据合并时.
- 可访问的数据和可视化为决策者和公众提供了对LMICs粮食安全的洞察力.
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