尼日利亚Osun州合作农民最优作物计划:线性规划方法

N. Sofoluwe, A. Tijani
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引用次数: 0

摘要

最佳生产水平要求以尽可能低的成本更好地利用现有资源。尽管合作社对农业部门具有固有的优势,但合作社保护伞下的农民如何利用农场资源以获得最佳结果的问题仍然没有答案。本研究调查了尼日利亚西南部农村社区合作农民的最佳作物组合。通过结构化问卷收集研究的主要资料。数据采用线性规划模型拟合。合作社农民的种植模式有三种。根据线性规划模型的结果,最终计划只允许玉米,木薯和山药,该组合的生产面积为2.23公顷。与该计划相关的毛利率值为奈拉156,235.781(1美元= N365)。土地、劳动力、化肥、化学品等投入资源没有得到充分利用。这些输入的松弛值分别为0.31、651.20、1929.6和140.76。敏感性分析表明,种子/幼苗是最终计划中唯一具有影子价格的约束性资源,这表明合理配置种子和幼苗可以提高合作农民的收益。有必要采取适当的农场管理策略,以确保农民获得最佳回报。建议提供更多的教育和培训,以促进合作社农民了解提高生产和收入所需的最佳战略。JEL代码:Q10, Q13
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Optimal crop plan of cooperative farmers in Osun state, Nigeria: a linear programming approach
Optimal level of production requires better use of existing resources at the lowest possible cost. Despite the inherent advantage of cooperatives to the agricultural sector, the question of how farmers under cooperative umbrella use farm resource for optimal outcome remains unanswered. This study investigates optimal crop mix for cooperative farmers in rural communities in Southwest Nigeria. Primary data were collected for the study through structured questionnaire. The data were fitted to Linear Programming Model. Three different cropping patterns are identified among the cooperative farmers. Based on the results from linear programming model, only maize, cassava and yam are admitted in the final plan and this combination is to be produced at 2.23 hectares. The gross margin value associated with the plan is ₦156, 235.781 (1$ = N365). Input resources such as land, labour, fertilizer, and chemicals are not fully utilized. The slack values for these inputs are 0.31, 651.20, 1929.6 and 140.76 respectively. The sensitivity analysis shows that seed/seedling is the only binding resource in the final plan with a shadow price which suggests that proper allocation of seed and seedlings would improve returns to cooperative farmers. There is need for appropriate farm management strategies to ensure optimal return for farmers. More education and training is suggested to boost cooperative farmers understanding of optimum strategy that is needed to improve production and earnings. JEL code: Q10, Q13
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