{"title":"突尼斯地区学生气候脆弱性的空间分析","authors":"Zouabi O, Bouhlila Ds","doi":"10.26420/annagriccropsci.2021.1098","DOIUrl":null,"url":null,"abstract":"Weather conditions have not been considered up to date as a factor that contributes to drop out of school in Tunisia. The latter is mainly attributed to poverty, socioeconomic status of students and to a lack of educational infrastructure. This paper is an attempt to introduce geography in explaining dropout in Tunisia. We apply spatial econometric models to show that there is a high degree of spatial clustering in dropout of school. We conclude that students in the north-west region of Tunisia are those who are the most vulnerable to weather conditions and to climate change.","PeriodicalId":8133,"journal":{"name":"Annals of Agricultural & Crop Sciences","volume":"123 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Regional Students’ Vulnerability to Climate in Tunisia: A Spatial Analysis\",\"authors\":\"Zouabi O, Bouhlila Ds\",\"doi\":\"10.26420/annagriccropsci.2021.1098\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Weather conditions have not been considered up to date as a factor that contributes to drop out of school in Tunisia. The latter is mainly attributed to poverty, socioeconomic status of students and to a lack of educational infrastructure. This paper is an attempt to introduce geography in explaining dropout in Tunisia. We apply spatial econometric models to show that there is a high degree of spatial clustering in dropout of school. We conclude that students in the north-west region of Tunisia are those who are the most vulnerable to weather conditions and to climate change.\",\"PeriodicalId\":8133,\"journal\":{\"name\":\"Annals of Agricultural & Crop Sciences\",\"volume\":\"123 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Agricultural & Crop Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26420/annagriccropsci.2021.1098\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Agricultural & Crop Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26420/annagriccropsci.2021.1098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Regional Students’ Vulnerability to Climate in Tunisia: A Spatial Analysis
Weather conditions have not been considered up to date as a factor that contributes to drop out of school in Tunisia. The latter is mainly attributed to poverty, socioeconomic status of students and to a lack of educational infrastructure. This paper is an attempt to introduce geography in explaining dropout in Tunisia. We apply spatial econometric models to show that there is a high degree of spatial clustering in dropout of school. We conclude that students in the north-west region of Tunisia are those who are the most vulnerable to weather conditions and to climate change.