D. Midamba, Atukunda Bwesigye Obrine, M. Kwesiga, Alela Beatrice, Ogei Kizito
{"title":"乌干达小农获得信贷的驱动因素:二元Logistic模型的应用","authors":"D. Midamba, Atukunda Bwesigye Obrine, M. Kwesiga, Alela Beatrice, Ogei Kizito","doi":"10.37284/eajab.5.1.599","DOIUrl":null,"url":null,"abstract":"This study aimed at determining the drivers of access to credit among smallholder farmers in Uganda. Using a cross-sectional survey, data were collected from 374 farmers in Jinja district, followed by data analysis using descriptive statistics and Binary logistic regression model. Additionally, we used Chi-square and t-test to compare farmers with and without access to credit. The results showed that 62.83% of the farmers had access to credit. Additionally, farmers with access to credit were generally better off than those without access to credit. Having a mobile phone (p<0.01), group membership (p<0.01), access to extension (p<0.05), farm size (p<0.01) and distance to the market (p<0.05) had a positive and significant effect on credit access while non-farm income (p<0.05) showed an inverse relationship with credit access. To increase credit access among the smallholder farmers, farmers should be encouraged to purchase mobile phones and join groups where they would disseminate information on the various source of agricultural credit. Extension workers should also make effects of reaching all the farmers and training them on ways of accessing agricultural credit.","PeriodicalId":144021,"journal":{"name":"East African Journal of Agriculture and Biotechnology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Drivers of Access to Credit Among Smallholder Farmers in Uganda: Application of Binary Logistic Model\",\"authors\":\"D. Midamba, Atukunda Bwesigye Obrine, M. Kwesiga, Alela Beatrice, Ogei Kizito\",\"doi\":\"10.37284/eajab.5.1.599\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aimed at determining the drivers of access to credit among smallholder farmers in Uganda. Using a cross-sectional survey, data were collected from 374 farmers in Jinja district, followed by data analysis using descriptive statistics and Binary logistic regression model. Additionally, we used Chi-square and t-test to compare farmers with and without access to credit. The results showed that 62.83% of the farmers had access to credit. Additionally, farmers with access to credit were generally better off than those without access to credit. Having a mobile phone (p<0.01), group membership (p<0.01), access to extension (p<0.05), farm size (p<0.01) and distance to the market (p<0.05) had a positive and significant effect on credit access while non-farm income (p<0.05) showed an inverse relationship with credit access. To increase credit access among the smallholder farmers, farmers should be encouraged to purchase mobile phones and join groups where they would disseminate information on the various source of agricultural credit. Extension workers should also make effects of reaching all the farmers and training them on ways of accessing agricultural credit.\",\"PeriodicalId\":144021,\"journal\":{\"name\":\"East African Journal of Agriculture and Biotechnology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"East African Journal of Agriculture and Biotechnology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37284/eajab.5.1.599\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"East African Journal of Agriculture and Biotechnology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37284/eajab.5.1.599","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Drivers of Access to Credit Among Smallholder Farmers in Uganda: Application of Binary Logistic Model
This study aimed at determining the drivers of access to credit among smallholder farmers in Uganda. Using a cross-sectional survey, data were collected from 374 farmers in Jinja district, followed by data analysis using descriptive statistics and Binary logistic regression model. Additionally, we used Chi-square and t-test to compare farmers with and without access to credit. The results showed that 62.83% of the farmers had access to credit. Additionally, farmers with access to credit were generally better off than those without access to credit. Having a mobile phone (p<0.01), group membership (p<0.01), access to extension (p<0.05), farm size (p<0.01) and distance to the market (p<0.05) had a positive and significant effect on credit access while non-farm income (p<0.05) showed an inverse relationship with credit access. To increase credit access among the smallholder farmers, farmers should be encouraged to purchase mobile phones and join groups where they would disseminate information on the various source of agricultural credit. Extension workers should also make effects of reaching all the farmers and training them on ways of accessing agricultural credit.