Analysis on Resource Use Efficiency of Smallholder's Rice Production Farmers in Federal Capital Territory of Nigeria: Probit Model Approach

Sanusi Saheed Olakunle, Alabi Olugbenga Omotayo, Ebukiba Elizabeth Samuel
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Abstract

This study examined the resource-use efficiency of smallholder rice production farmers in Federal Capital Territory, Nigeria. The problem of resource use among small-scale rice production farmers is preponderance in the country. Hence, the study investigated the drivers of the problem in the Federal Capital Territory of Nigeria. Specifically, the study was designed to determine the factors influencing the resource-use efficiency of the respondents. A multi-stage sampling technique was used to select a total sample size of one hundred and seventy-five (175) rice farmers in Federal Capital Territory, Nigeria. Seven estimators such as age, household size, farming experience, educational level, extension services, access to credit, and off-farm income in the Probit model were found statistically significant. Results show that the probability of resource use efficiency of inputs used by the farmers increases with age, farm size, household size, educational level, extension services, experiences in farming, access to credits, but decreases where they have off-farm income. Mc Fadden Pseudo-R2 gives 0.6772, and the Probit model explains a significant proportion of the variations in smallholder farmers' resource use. The study concluded that the socio-economic variables in the model play an important role in influencing resource use efficiency. The study recommends that government agencies and donors should provide simplified, accessible and obtainable credits and grants to existing and prospective rice farmers in order to sustain the current giant stride in rice production in the country.
尼日利亚联邦首都地区小农水稻生产农户资源利用效率分析:Probit模型方法
本研究调查了尼日利亚联邦首都地区小农水稻生产农民的资源利用效率。小规模稻农的资源利用问题在该国十分突出。因此,该研究调查了尼日利亚联邦首都地区问题的驱动因素。具体而言,本研究旨在确定影响受访者资源利用效率的因素。采用多阶段抽样技术,在尼日利亚联邦首都地区选取了175名稻农的总样本量。在Probit模型中,年龄、家庭规模、农业经验、教育水平、推广服务、获得信贷和非农收入等7个估计值具有统计学意义。结果表明,农民使用投入品的资源利用效率概率随着年龄、农场规模、家庭规模、教育水平、推广服务、农业经验、信贷获取而增加,但随着农民有非农收入而降低。Mc Fadden伪r2给出0.6772,Probit模型解释了小农资源利用变化的很大一部分。研究认为,模型中的社会经济变量对资源利用效率有重要影响。该研究建议,政府机构和捐助者应向现有和未来的稻农提供简化的、可获得的和可获得的信贷和赠款,以便维持该国目前在水稻生产方面的巨大进步。
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