Analysis of Factors Influencing Access to Formal Loan Among Small-scale Swamp Rice Farmers in Obubra Local Government Area, Cross River State, Nigeria

Kuye Olufemi Oludayo, Ogiri Oyom Mbina
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引用次数: 2

Abstract

This study analyzed the factors influencing access to formal agricultural loan among small-scale swamp rice farmers in Obubra Local Government Area in Cross River State, Nigeria. Data were obtained from 120 respondents by using multi-stage random sampling technique. Descriptive statistics and logit regression model were used to analyze the data. The results showed that majority (62.5%) of the farmers were males, about 40% were aged between 31-40 years, married (68.33%), had household size of 7-9 persons (51.67%), had secondary education (51.67%), had farm sizes of 1-2ha (50.83%), had farming experiences of 11-20 years (45%) and only 30.83% had annual farm income of between N51,000.00 and N100,000.00. The logit regression analysis revealed that gender, farm income, household size, education and collateral positively influenced the probability of farmers’ access to loan at 1% significant level respectively. Marital status, farming experience and farm size positively influenced access to loan at 5%, 5% and 10% respectively The major constraints respondents faced in accessing loan are long period of processing loan applications, problem of getting collateral and high interest rate while the major constraints they faced in rice production are crop destruction by cattle, low yield as a result of pests and diseases and low yield as a result of poor soil. The Federal Government should enact law that will motivate the cattle herders to compensate any farmer whose crops have been destroyed or eaten by their cattle and banks should process loan applications on time so that the loan will be disbursed to farmers at the appropriate time.
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尼日利亚克罗斯河州Obubra地方政府区小规模沼泽稻农获得正规贷款的影响因素分析
本研究分析了影响尼日利亚克罗斯河州Obubra地方政府地区小规模沼泽稻农获得正规农业贷款的因素。采用多阶段随机抽样法对120名调查对象进行了数据采集。采用描述性统计和logit回归模型对数据进行分析。结果表明,62.5%的农民为男性,约40%的农民年龄在31-40岁之间,已婚(68.33%),家庭规模为7-9人(51.67%),受过中等教育(51.67%),农场规模为1-2ha(50.83%),有11-20年的农业经验(45%),只有30.83%的农民年农业收入在51,000 - 10万挪威克朗之间。logit回归分析显示,性别、农业收入、家庭规模、教育程度和抵押物分别在1%的显著水平上正向影响农民获得贷款的概率。婚姻状况、耕作经验和农场规模对获得贷款的影响分别为5%、5%和10%。受访者在获得贷款方面面临的主要制约因素是处理贷款申请的时间长、获得抵押品的问题和利率高,而他们在水稻生产方面面临的主要制约因素是牲畜破坏作物、病虫害导致的低产量和土壤贫瘠导致的低产量。联邦政府应颁布法律,激励牧牛人赔偿任何庄稼被牛毁坏或吃掉的农民,银行应及时处理贷款申请,以便在适当的时候向农民发放贷款。
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