Determinants of technical efficiency of small-scale rice farmers in Edo North Ecological Zone, Edo State, Nigeria

J. Egbodion, Adesegun Osamudiamen Oduwale, A.O. Ehigie
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引用次数: 1

Abstract

The study estimated technical efficiency of farmers with a view to isolate significant factors that affect farmer’s efficiency in the study area. A two-stage sampling procedure involving purposive and simple random sampling was used to select 250 rice farmers for the study. Data were obtained using a structured questionnaire which was administered to the farmers. The data obtained were analyzed with the use of descriptive statistics and stochastic production function through Maximum Likelihood Estimation (MLE) method using the computer program for frontier version 4.1. Results show that most (68.4%) of the small-scale rice farmers were male and 78.4% were married with mean age of 43 years, as well household size of 7 persons respectively in the study area. About 86% of the farmers had formal education, with about 13 years-experience in rice farming and an average farm size of 2.9 hectares. Most (51.6%) of the farmers had contact with Extension Agent and use hired labour (54.8%). Average farm net income for the rice farmers was ₦599,681.28 per hectare. The MLE for technical efficiency shows that farm size, seeds herbicides and pesticides use influenced output of rice production in the study area while farming experience (-2.4260), literacy level (-02.6402, age of farmers (-2.6402) and source of capital (-1.3329) respectively jointly contributed to increase farmers efficiency in the study area. The study concluded that rice farming is profitable in the study area and recommends implementation of an integrated rice farming development program combining education, mentorship, financial support, and enhanced extension services. Focus on optimizing farm management, increasing technical efficiency, and boosting profitability across diverse farmer demographics.
尼日利亚江户州江户北部生态区小规模稻农技术效率的决定因素
本研究估算了农户的技术效率,以期分离出影响研究区域农户效率的显著因素。采用有目的抽样和简单随机抽样两阶段抽样方法,选取250名稻农进行研究。数据是通过对农民进行结构化问卷调查获得的。使用frontier version 4.1计算机程序,采用最大似然估计(Maximum Likelihood Estimation, MLE)方法对所得数据进行描述性统计和随机生产函数分析。结果表明:研究区小规模稻农以男性居多(68.4%),已婚占78.4%,平均年龄43岁,家庭规模分别为7人;大约86%的农民受过正规教育,有大约13年的水稻种植经验,平均农场面积为2.9公顷。大多数农民(51.6%)与推广代理商有联系,并使用雇工(54.8%)。稻农的平均农场净收入为每公顷599,681.28奈拉。技术效率最大方差表明,农田规模、种子除草剂和农药的使用影响研究区水稻产量,而农业经验(-2.4260)、文化水平(-2.6402)、农民年龄(-2.6402)和资金来源(-1.3329)分别对研究区农民效率的提高有共同贡献。该研究的结论是,水稻种植在研究地区是有利可图的,并建议实施一项综合水稻种植发展计划,将教育、指导、财政支持和加强推广服务结合起来。专注于优化农场管理,提高技术效率,提高不同农民群体的盈利能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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