{"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}
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.