城市粮食安全与社会经济可持续性:多维视角

Adesola Adebola Ikudayisi
{"title":"城市粮食安全与社会经济可持续性:多维视角","authors":"Adesola Adebola Ikudayisi","doi":"10.1016/j.grets.2024.100080","DOIUrl":null,"url":null,"abstract":"<div><p>This study examines urban household food security through the simultaneous use of two quantitative measures. A sample of 445 household data was analyzed. Using principal component analysis, the urbanicity index categorizes households by level of urbanization. About 39% of households had diverse diets (DD), and 75% spent above the required food expenditure plan (FEXP). The Food insecure (FIS) was in low urban category (LUC) on both measures, while the food secure ones were in middle urban category (MUC). Multinomial logit regression analysis shows that income and urbanicity index influenced the probability of a household being in any of the food security groups.</p></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"2 2","pages":"Article 100080"},"PeriodicalIF":0.0000,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949736124000071/pdfft?md5=d2f7b30b8942149d53b92c3e0eba0d02&pid=1-s2.0-S2949736124000071-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Urban food security and socioeconomic sustainability: A multidimensional perspective\",\"authors\":\"Adesola Adebola Ikudayisi\",\"doi\":\"10.1016/j.grets.2024.100080\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study examines urban household food security through the simultaneous use of two quantitative measures. A sample of 445 household data was analyzed. Using principal component analysis, the urbanicity index categorizes households by level of urbanization. About 39% of households had diverse diets (DD), and 75% spent above the required food expenditure plan (FEXP). The Food insecure (FIS) was in low urban category (LUC) on both measures, while the food secure ones were in middle urban category (MUC). Multinomial logit regression analysis shows that income and urbanicity index influenced the probability of a household being in any of the food security groups.</p></div>\",\"PeriodicalId\":100598,\"journal\":{\"name\":\"Green Technologies and Sustainability\",\"volume\":\"2 2\",\"pages\":\"Article 100080\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2949736124000071/pdfft?md5=d2f7b30b8942149d53b92c3e0eba0d02&pid=1-s2.0-S2949736124000071-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Green Technologies and Sustainability\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2949736124000071\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Green Technologies and Sustainability","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949736124000071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本研究通过同时使用两种定量测量方法来研究城市家庭的粮食安全问题。研究分析了 445 个家庭的样本数据。通过主成分分析,城市化指数按城市化水平对家庭进行分类。约 39% 的家庭饮食多样化(DD),75% 的家庭支出高于规定的食品支出计划(FEXP)。在这两项指标上,食物无保障家庭(FIS)属于低城市类别(LUC),而食物有保障家庭则属于中等城市类别(MUC)。多项式对数回归分析表明,收入和城市化指数影响着家庭跻身任何一个粮食安全组别的概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Urban food security and socioeconomic sustainability: A multidimensional perspective

This study examines urban household food security through the simultaneous use of two quantitative measures. A sample of 445 household data was analyzed. Using principal component analysis, the urbanicity index categorizes households by level of urbanization. About 39% of households had diverse diets (DD), and 75% spent above the required food expenditure plan (FEXP). The Food insecure (FIS) was in low urban category (LUC) on both measures, while the food secure ones were in middle urban category (MUC). Multinomial logit regression analysis shows that income and urbanicity index influenced the probability of a household being in any of the food security groups.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信