奥罗米亚州城市贫困的决定因素:埃塞俄比亚某地区的个案研究

Tamiru Gabusho
{"title":"奥罗米亚州城市贫困的决定因素:埃塞俄比亚某地区的个案研究","authors":"Tamiru Gabusho","doi":"10.7176/jpid/56-03","DOIUrl":null,"url":null,"abstract":"The study was conducted in south west Shewa zone districts, Oromia National Region, Ethiopia. Stratified sampling techniques were applied in order to obtain a representative sample were selected to collect data by using these strata since in study there were constituted 3 urban areas were selected from a total of 4 towns in Waliso districts. Based on this condition sampling will be conducted separately in each subgroup or stratum. Descriptive statistics and binary logit were employed to determine factors that influence the economic status of households. A sum of twelve explanatory variables for the binary logit model was used, out of which eight variables were found to significantly affect the economic returns of households at 5%. These are: household family size, education of household head, the gender of household head, marital status, age of household head, , income of household head, house ownership, previous residence, and four of the following were at 10% like household health status, household head occupation, dependency ratio and saving of household and the other variables like household health status, household head occupation, and dependency ratio were not significant at a maximum of 10% significance level . The study recommends that the strong negative relationship between income and the probability of being poor point out that there must be a need to consider households income character by government and non-government organization in designing policies targeted to curb urban poverty intervening to household health status, household head occupation, dependency ratio and saving of household. Keywords: Rural poverty, Binary Logit Model, Waliso district. DOI: 10.7176/JPID/56-03 Publication date: November 30 th 2020","PeriodicalId":194383,"journal":{"name":"Journal of Poverty, Investment and Development","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determinants of Urban Poverty in Oromia: A Case Study in Some Selected District, Ethiopia\",\"authors\":\"Tamiru Gabusho\",\"doi\":\"10.7176/jpid/56-03\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study was conducted in south west Shewa zone districts, Oromia National Region, Ethiopia. Stratified sampling techniques were applied in order to obtain a representative sample were selected to collect data by using these strata since in study there were constituted 3 urban areas were selected from a total of 4 towns in Waliso districts. Based on this condition sampling will be conducted separately in each subgroup or stratum. Descriptive statistics and binary logit were employed to determine factors that influence the economic status of households. A sum of twelve explanatory variables for the binary logit model was used, out of which eight variables were found to significantly affect the economic returns of households at 5%. These are: household family size, education of household head, the gender of household head, marital status, age of household head, , income of household head, house ownership, previous residence, and four of the following were at 10% like household health status, household head occupation, dependency ratio and saving of household and the other variables like household health status, household head occupation, and dependency ratio were not significant at a maximum of 10% significance level . The study recommends that the strong negative relationship between income and the probability of being poor point out that there must be a need to consider households income character by government and non-government organization in designing policies targeted to curb urban poverty intervening to household health status, household head occupation, dependency ratio and saving of household. Keywords: Rural poverty, Binary Logit Model, Waliso district. DOI: 10.7176/JPID/56-03 Publication date: November 30 th 2020\",\"PeriodicalId\":194383,\"journal\":{\"name\":\"Journal of Poverty, Investment and Development\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Poverty, Investment and Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7176/jpid/56-03\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Poverty, Investment and Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7176/jpid/56-03","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

该研究是在埃塞俄比亚奥罗米亚国家地区西南谢瓦区进行的。为了获得具有代表性的样本,我们采用了分层抽样技术,因为在研究中,我们从Waliso地区的4个城镇中选择了3个城区,因此我们选择了这些地层来收集数据。在这种情况下,将在每个子组或地层中分别进行抽样。采用描述性统计和二元逻辑分析来确定家庭经济状况的影响因素。使用二元logit模型的12个解释变量的总和,其中8个变量在5%的情况下显著影响家庭的经济回报。分别是:家庭规模、户主受教育程度、户主性别、婚姻状况、户主年龄、户主收入、房屋拥有量、原居住地,其中家庭健康状况、户主职业、抚养比、家庭储蓄4项达到10%,其他变量如家庭健康状况、户主职业、抚养比等达到10%的显著性水平。研究建议,收入与贫困概率之间的强烈负相关关系指出,政府和非政府组织在制定有针对性的政策以遏制城市贫困时必须考虑家庭收入特征,干预家庭健康状况、户主职业、抚养比和家庭储蓄。关键词:农村贫困,二元Logit模型,Waliso地区出版日期:2020年11月30日
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants of Urban Poverty in Oromia: A Case Study in Some Selected District, Ethiopia
The study was conducted in south west Shewa zone districts, Oromia National Region, Ethiopia. Stratified sampling techniques were applied in order to obtain a representative sample were selected to collect data by using these strata since in study there were constituted 3 urban areas were selected from a total of 4 towns in Waliso districts. Based on this condition sampling will be conducted separately in each subgroup or stratum. Descriptive statistics and binary logit were employed to determine factors that influence the economic status of households. A sum of twelve explanatory variables for the binary logit model was used, out of which eight variables were found to significantly affect the economic returns of households at 5%. These are: household family size, education of household head, the gender of household head, marital status, age of household head, , income of household head, house ownership, previous residence, and four of the following were at 10% like household health status, household head occupation, dependency ratio and saving of household and the other variables like household health status, household head occupation, and dependency ratio were not significant at a maximum of 10% significance level . The study recommends that the strong negative relationship between income and the probability of being poor point out that there must be a need to consider households income character by government and non-government organization in designing policies targeted to curb urban poverty intervening to household health status, household head occupation, dependency ratio and saving of household. Keywords: Rural poverty, Binary Logit Model, Waliso district. DOI: 10.7176/JPID/56-03 Publication date: November 30 th 2020
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:604180095
Book学术官方微信