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社会经济因素对营养效率的影响:数据包络分析的应用

Impact of Socio-Economic Factors on Nutrition Efficiency: An Application of Data Envelopment Analysis.

作者信息

Pakravan-Charvadeh Mohammad Reza, Flora Cornelia Butler, Emrouznejad Ali

机构信息

Department of Agricultural Economics and Rural Development, Lorestan University, Khorramabad, Iran.

Department of Sociology, Kansas State University, Manhattan, KS, United States.

出版信息

Front Nutr. 2022 Apr 25;9:859789. doi: 10.3389/fnut.2022.859789. eCollection 2022.

DOI:10.3389/fnut.2022.859789
PMID:35548565
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9085191/
Abstract

BACKGROUND

Paying particular attention to sustainable food consumption in low-income households is essential for increasing human health. Due to the growing population globally, this concept will likely become more serious soon.

METHODS

Following the importance of optimizing food consumption for sustainability, in this study, a novel methodology is introduced for calculating nutrient intake efficiency and determining choices of food in different locations. The impact of socio-economic factors on nutrition efficiency is assessed. Data Envelopment Analysis (DEA) as a well-known linear programming (LP) and a Tobit model are used to achieve the goals. Household Consumption and Expenditure Surveys (HCESs) of 30,000 rural and urban Iranian households in all provinces in 2016 are analyzed. A Nutrient Efficiency Map (NEM) of Iran was depicted by GIS software.

RESULTS

The results showed that many townships had nutrient efficiency scores of less than 70%. Northeast townships had the lowest scores, with an efficiency score of less than 50%. Overall, townships have lower efficiency in the North (seaside cities), East (desert cities), and North East (isolated cities) when compared with other areas.

CONCLUSION

Therefore, it is suggestible that the government should modify the support policies and the protection packages based on social, geographical, and cultural status.

摘要

背景

特别关注低收入家庭的可持续食物消费对于增进人类健康至关重要。由于全球人口不断增长,这一概念可能很快会变得更加严峻。

方法

鉴于优化食物消费以实现可持续性的重要性,本研究引入了一种新方法,用于计算营养摄入效率并确定不同地区的食物选择。评估社会经济因素对营养效率的影响。使用数据包络分析(DEA)这一著名的线性规划(LP)方法以及托比特模型来实现这些目标。对2016年伊朗所有省份30000户农村和城市家庭的家庭消费与支出调查(HCESs)进行了分析。通过地理信息系统(GIS)软件绘制了伊朗的营养效率图(NEM)。

结果

结果显示,许多乡镇的营养效率得分低于70%。东北部乡镇得分最低,效率得分低于50%。总体而言,与其他地区相比,北部(沿海城市)、东部(沙漠城市)和东北部(孤立城市)的乡镇效率较低。

结论

因此,建议政府应根据社会、地理和文化状况调整支持政策和保护措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe3/9085191/11075809f593/fnut-09-859789-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe3/9085191/e4ad4180bc45/fnut-09-859789-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe3/9085191/51c56a638bb5/fnut-09-859789-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe3/9085191/0bedb166560a/fnut-09-859789-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe3/9085191/11075809f593/fnut-09-859789-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe3/9085191/e4ad4180bc45/fnut-09-859789-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe3/9085191/51c56a638bb5/fnut-09-859789-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe3/9085191/0bedb166560a/fnut-09-859789-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe3/9085191/11075809f593/fnut-09-859789-g004.jpg

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