DETERMINANTS OF AGRICULTURAL LOAN DECISION MAKING PROCESS FOR RICE (ORYZA SATIVA) FARMERS IN ABUJA, NIGERIA. APPLICATIONS OF HECKMAN TWO-STAGE MODEL AND FACTOR ANALYSIS

O. Alabi, A. Oladele, M. Usman
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引用次数: 3

Abstract

This study focuses on determinants of the agricultural loan decision-making process of rice (Oryza sativa) farmers in Abuja, Nigeria, using the Heckman two-stage model and factor analysis. This study was designed specifically to achieve the following objectives: determine the socio-economic profiles or characteristics of rice farmers, analyze the costs and returns of rice production, evaluate factors influencing rice farmers’ decision to obtain an agricultural loan, evaluate socio-economic factors influencing the amount of the agricultural loan, and determine the constraints or problems facing rice farmers. A multi-stage sampling design was employed. A total sample of one hundred (100) rice farmers was included, and primary data were utilized. Data were obtained through the use of a well-structured and well-designed questionnaire. Statistical and econometric tools used in analyzing data included descriptive statistics, gross margin analysis, financial analysis, the Heckman two-stage model, and principal component analysis. The results show that 63% of rice farmers were between the age of 31–50 years. The mean age was 41.90 years. About 65% of rice farmers were male, and 54% of them were married. Also, 93% of rice farmers had formal education and were literate. The household sizes were large, with an average of six persons per household. An average of 71,550 nairas was the loan amount granted to rice farmers by financial institutions. The average farm size amounted to 1.49 hectares. Factors influencing the decision of rice farmers to obtain agricultural loan included age (P < 0.01), marital status (P < 0.05), household size (P < 0.10), educational level (P < 0.05), farm size (P < 0.05), farm and non-farm income (P < 0.10), farm experience (P < 0.05), collateral property (P < 0.05), extension services (P < 0.10), and awareness of loan or credit facilities (P < 0.05). Rice production was profitable with a net farm income of 744,300 nairas. The gross margin ratio of 0.95 means that 95 kobos covered profits, taxes, expenses, interest, and depreciation for every naira invested in rice production activities. Socio-economic factors statistically and significantly influencing the amount of agricultural loan obtained by rice farmers included (P < 0.05) sex (P < 0.01), household size (P < 0.05) and educational level (P < 0.01). The constraints facing rice farmers in obtaining the agricultural loan and production activities included lack of collateral property, lack of fertilizer input, poor-quality feeder roads, lack of credit facilities, inadequate labor input, and complicated and costly administrative procedures to obtain a loan. It is recommended that agricultural loans be made available to rice farmers in sufficient amounts and at low-interest rates. Also, farm inputs, fertilizer inputs, improved seeds, and chemicals should be made available to rice farmers.
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尼日利亚阿布贾水稻(oryza sativa)农民农业贷款决策过程的决定因素。heckman两阶段模型和因子分析的应用
本研究采用Heckman两阶段模型和因子分析,重点研究尼日利亚阿布贾水稻(Oryza sativa)农民农业贷款决策过程的决定因素。本研究是专门为实现以下目标而设计的:确定稻农的社会经济概况或特征,分析水稻生产的成本和收益,评估影响稻农获得农业贷款决策的因素,评估影响农业贷款金额的社会经济因素,确定稻农面临的制约或问题。采用多阶段抽样设计。共纳入100名稻农样本,并利用原始数据。数据是通过使用结构良好、设计良好的调查问卷获得的。用于分析数据的统计和计量经济学工具包括描述性统计、毛利率分析、财务分析、Heckman两阶段模型和主成分分析。结果表明,63%的稻农年龄在31-50岁之间。平均年龄41.90岁。大约65%的稻农是男性,其中54%已婚。此外,93%的稻农受过正规教育,识字。家庭规模很大,每户平均有6人。金融机构向稻农发放的贷款金额平均为71,550奈拉。平均农场面积为1.49公顷。影响稻农获得农业贷款决策的因素包括年龄(P < 0.01)、婚姻状况(P < 0.05)、家庭规模(P < 0.10)、受教育程度(P < 0.05)、农场规模(P < 0.05)、农场和非农收入(P < 0.10)、农场经验(P < 0.05)、抵押财产(P < 0.05)、推广服务(P < 0.10)和对贷款或信贷工具的认识(P < 0.05)。水稻生产盈利,农场净收入为744,300奈拉。毛利率为0.95,这意味着在大米生产活动中每投资一个奈拉,95个科博就能覆盖利润、税收、费用、利息和折旧。影响稻农农业贷款额的社会经济因素包括(P < 0.05)性别(P < 0.01)、家庭规模(P < 0.05)和文化程度(P < 0.01)。水稻农民在获得农业贷款和生产活动方面面临的制约因素包括缺乏抵押财产、缺乏肥料投入、质量差的支线道路、缺乏信贷设施、劳动力投入不足以及获得贷款的行政程序复杂而昂贵。建议向稻农提供足够数额和低利率的农业贷款。此外,还应向稻农提供农业投入物、肥料投入物、改良种子和化学品。
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