{"title":"利用农村地区及农业和非农业部门的就业来消除美国的无家可归现象:对农村、郊区和城市 CoC(包括一个大城市 CoC)的研究","authors":"Omolara Adebimpe Adekanbi","doi":"10.37547/tajssei/volume06issue05-03","DOIUrl":null,"url":null,"abstract":"The study aims to explore the potential of using rural areas to develop strategies to end homelessness, including job creation initiatives, by examining the relationships between homelessness, urban and rural areas, and unemployment rates. Using descriptive analysis; histograms, summary tables, and regression analysis, the research finds a lower incidence of homelessness in rural areas. Regression results indicate that homelessness increases by 1294 individuals in urban areas but decreases by 402 individuals in rural areas per unit increase in the count of rural areas. Additionally, homelessness increases by 202 individuals for every unit increase in the unemployment rate. ANCOVA testing confirms the significant impact of Area Category (<0.001) on homelessness, with unemployment rates being lowest and highest in Largely Rural areas among the sampled locations.","PeriodicalId":278080,"journal":{"name":"The American Journal of Social Science and Education Innovations","volume":"96 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"LEVERAGING RURAL AREAS & EMPLOYMENT IN AGRICULTURAL & NON AGRICULTURAL SECTORS TO ERADICATE HOMELESSNESS IN USA: A STUDY OF RURAL, SUBURBAN, AND URBAN CoCs INCLUDING A MAJOR CITY CoC\",\"authors\":\"Omolara Adebimpe Adekanbi\",\"doi\":\"10.37547/tajssei/volume06issue05-03\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study aims to explore the potential of using rural areas to develop strategies to end homelessness, including job creation initiatives, by examining the relationships between homelessness, urban and rural areas, and unemployment rates. Using descriptive analysis; histograms, summary tables, and regression analysis, the research finds a lower incidence of homelessness in rural areas. Regression results indicate that homelessness increases by 1294 individuals in urban areas but decreases by 402 individuals in rural areas per unit increase in the count of rural areas. Additionally, homelessness increases by 202 individuals for every unit increase in the unemployment rate. ANCOVA testing confirms the significant impact of Area Category (<0.001) on homelessness, with unemployment rates being lowest and highest in Largely Rural areas among the sampled locations.\",\"PeriodicalId\":278080,\"journal\":{\"name\":\"The American Journal of Social Science and Education Innovations\",\"volume\":\"96 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The American Journal of Social Science and Education Innovations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37547/tajssei/volume06issue05-03\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The American Journal of Social Science and Education Innovations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37547/tajssei/volume06issue05-03","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LEVERAGING RURAL AREAS & EMPLOYMENT IN AGRICULTURAL & NON AGRICULTURAL SECTORS TO ERADICATE HOMELESSNESS IN USA: A STUDY OF RURAL, SUBURBAN, AND URBAN CoCs INCLUDING A MAJOR CITY CoC
The study aims to explore the potential of using rural areas to develop strategies to end homelessness, including job creation initiatives, by examining the relationships between homelessness, urban and rural areas, and unemployment rates. Using descriptive analysis; histograms, summary tables, and regression analysis, the research finds a lower incidence of homelessness in rural areas. Regression results indicate that homelessness increases by 1294 individuals in urban areas but decreases by 402 individuals in rural areas per unit increase in the count of rural areas. Additionally, homelessness increases by 202 individuals for every unit increase in the unemployment rate. ANCOVA testing confirms the significant impact of Area Category (<0.001) on homelessness, with unemployment rates being lowest and highest in Largely Rural areas among the sampled locations.