一种以树为基础的方法,在最低成本的食品篮子中识别不可或缺的食物
Melissa F Koenen1,2, Romée Geelen1,2, Marleen Balvert1,2
1Department of Econometrics and Operations Research, Tilburg School of Economics and Management, Tilburg University, Tilburg, Netherlands.
Frontiers in nutrition
|October 3, 2024
概括
这项研究引入了二进制搜索树 (BST) 方法,以识别对负担得起的营养至关重要的必需食品. BST评估了食品篮子成本的弹性,强调了不可或缺的食品,这些不可或缺的食品会影响粮食安全.
科学领域:
- 农业经济学 农业经济学
- 营养科学 营养科学
- 计算方法 计算方法
背景情况:
- 传统的食品篮子成本优化方法往往忽略了负担得起的营养食品供应中断.
- 这种干扰会对家庭的食品和营养安全产生重大影响.
- 评估粮食成本估计的弹性对于有效的粮食安全干预至关重要.
研究的目的:
- 提出一种新的基于树的方法,二进制搜索树 (BST),用于评估最低成本食品篮估计的弹性.
- 确定不可或缺的食品,其不可用性会大幅增加食品篮子成本.
- 为决策者提供简化,可操作的信息,用于粮食安全规划.
主要方法:
- 开发了一种二进制搜索树 (BST) 方法,以代排除食品,并评估它们对最低成本营养篮计算的影响.
- 该方法考虑了各种食物组合,并且独立于特定的饮食或优化模型.
- 评估和缩小了BST,为决策者提供了重要的发现.
主要成果:
- BST有效地识别出食物组合,排除这些组合会大大提高营养食品篮子成本.
- 该方法可以揭示食物替代效应,并精确定位限制营养素.
- 尼日利亚埃博尼的一项案例研究发现,多达五种食物的组合会影响食品和营养安全.
结论:
- 二进制搜索树 (BST) 提供了对当地食品和营养安全的重要洞察力,以及对干扰的抵抗力.
- 它确定了对于维持获得营养饮食的必不可少的食物至关重要.
- 调查结果可以为有针对性的干预提供信息,特别是在人道主义环境中.
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