可可农获得信贷的决定因素

N. Mensah, E. Yeboah, A. Donkor, F. Tutu, Richard Kaanye Dier
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引用次数: 5

摘要

获得信贷是发展实践者、农业企业企业家和农业经济学家最感兴趣的关键领域之一,主要是农民获得信贷以增加产量并减少贫困。本研究旨在分析加纳阿哈福地区阿苏纳福北部可可农民获得信贷的决定因素。采用多阶段抽样方法,通过问卷调查对100名可可农户进行数据收集。分别运用描述性统计、多元线性回归和肯德尔协调系数对信贷来源、信贷获取影响因素和信贷约束因素进行分析。多元线性回归结果显示,年龄、婚姻状况、教育程度、经验和家庭规模是影响信贷获得的显著因素。利用Kendall’s concordance系数进行约束分析,结果显示,高利率排名靠前,平均得分为1.93,而担保人需求排名靠后,平均得分为7.40。基于研究结果,本研究建议制定一项政策,旨在扩大正规和半正规金融机构的信贷组合,通过寻找替代抵押品和降低利率来接纳可可农民,这将改善信贷获取,并在研究地区的可可农民中产生减贫的积极外部性效应。JEL分类:Q14
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 credit access of cocoa farmers
Access to credit is one of the critical areas that are of prime interest to development practitioners, agribusiness entrepreneurs and agricultural economists, mainly access to credit by farmers in order to increase their production and also reduce poverty. This study sought to analyze the determinants of credit access among cocoa farmers in the Asunafo North of the Ahafo Region of Ghana. The multistage sampling procedure was used to collect data from 100 cocoa farmers with the aid of a questionnaire. Sources of credit, factors influencing access to credit, and constraints to credit were analyzed with the aid of descriptive statistics, multiple linear regression, and Kendall’s coefficient of concordance respectively. The results of multiple linear regression revealed that, age, marital status, education, experience, and family size were significant factors that influenced access to credit. The constraints analysis with the aid of Kendall’s coefficient of concordance showed that, high interest rate was highly ranked with a mean score of 1.93 whilst the need for a guarantor was least ranked with a mean score of 7.40. Based on the results, the study recommended that a policy aimed at expanding formal and semi-formal financial institutions credit portfolio to embrace cocoa farmers by finding alternative to collaterals and also reducing the interest rate will improve credit access with a positive externality effect of poverty reduction among cocoa farmers in the study area. JEL Classification: Q14
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