European Journal of Economic and Financial Research最新文献

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INFLUENCE OF LEADERSHIP COMPETENCIES ON PERFORMANCE OF TEA COMPANIES IN NANDI COUNTY, KENYA 领导能力对肯尼亚南迪县茶叶企业绩效的影响
European Journal of Economic and Financial Research Pub Date : 2021-05-28 DOI: 10.46827/ejefr.v5i1.1071
Maureen Mutsachi Chikamai, F. Makhamara
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引用次数: 0
THE ROLE OF COMMUNICATION IN SACCOS IN PROMOTING FINANCIAL INCLUSION IN KENYA saccos中沟通在促进肯尼亚金融包容性方面的作用
European Journal of Economic and Financial Research Pub Date : 2020-01-31 DOI: 10.24940/theijbm/2020/v8/i1/bm2001-020
Rose Ndegwa
{"title":"THE ROLE OF COMMUNICATION IN SACCOS IN PROMOTING FINANCIAL INCLUSION IN KENYA","authors":"Rose Ndegwa","doi":"10.24940/theijbm/2020/v8/i1/bm2001-020","DOIUrl":"https://doi.org/10.24940/theijbm/2020/v8/i1/bm2001-020","url":null,"abstract":"Financial inclusion is a prerequisite to economic development. This has been echoed by international as well as national bodies. Studies have shown that financial exclusion has its roots in social exclusion. This indicates the depth and importance of financial inclusion in creating inclusive development. Numerous studies have revealed levels of financial inclusion with limited studies performed on the role of SACCO initiatives on financial inclusion. This research examined measures of financial inclusion which include both access and usage of financial products by low income earners and the socially excluded via SACCOs. Since access and usage are supplementary, they reflect a more vivid picture of financial inclusion. The study sought to analyze the role of SACCOs in promoting financial inclusion in Kenya. The study was guided by the three specific objectives: geographical coverage of SACCOs; cost and contribution of SASRA regulations towards enhancing financial inclusion. To achieve the objectives of the study a descriptive survey research was adopted. The target population was the three SACCOs in Meru town. 43 questionnaires were issued to SACCO members to access the level of financial service access. Primary data was analyzed with aid Microsoft excel software to generate frequencies, mean and percentages. Pie charts, graphs and tables were used to present various aspects of the variables. Content analysis was used to analyze qualitative while quantitative data was analyzed using descriptive statistics. JEL: O10; O20; G10; G20  Article visualizations:","PeriodicalId":376871,"journal":{"name":"European Journal of Economic and Financial Research","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126805622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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