尼日利亚卡齐纳州 Dutsin-Ma 地方政府地区小型农户辣椒生产的随机前沿分析

Nazifi B., Abdullahi B.N., Suleiman S.
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摘要

本研究使用随机前沿模型分析了卡齐纳州 Dutsin-ma 地方政府地区小型农户的辣椒生产情况。研究采用了有目的和按比例随机抽样技术,选择了 121 位辣椒种植农,并通过结构化问卷收集了他们的数据。数据分析采用了描述性统计、毛利率分析和随机前沿生产函数模型。研究结果表明,辣椒生产活动以男性(99.2%)和已婚(95.0%)农民为主,他们都是中年人(平均年龄 = 39 岁),其中大多数(约 53%)的家庭规模为 1-10 人,平均务农年限为 13 年,平均农场面积为 1.5 公顷。大部分辣椒生产者从事辣椒生产是为了创收,只有极少数人能获得贷款。毛利率分析(GM)结果显示,辣椒种植户的总可变成本(TVC)为 138 703.6 新元,收益为 164 513.4 新元,每公顷产量的利润为 25 809.8 新元,投资回报率为 1.28。研究发现,研究区辣椒种植农户的平均技术效率(TE)为 80%。此外,前沿分析结果表明,种子、劳动力和肥料是决定辣椒产量的重要投入。此外,前沿分析的低效率部分显示,教育程度、获得推广服务的机会、合作社成员资格、耕作年限、农场规模和家庭规模是研究地区辣椒生产效率的重要决定因素。研究结果还显示,研究地区的农民面临着生产投入成本高和病虫害问题等主要挑战。
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Stochastic Frontier Analysis of Hot Pepper Production among Small-Scale Farmers in Dutsin-Ma Local Government Area of Katsina State, Nigeria
This study used the Stochastic Frontier model to analyze hot pepper production among small-scale farmers in Dutsin-ma Local Government Area, Katsina State. Purposive and proportionate random sampling techniques were used to select 121 hot pepper farmers from whom the data was collected using a structured questionnaire. The data was analyzed using descriptive statistics, gross margin analysis, and stochastic frontier production function model. The result of the study shows that hot pepper production activity is dominated by male (99.2%) and married (95.0%) farmers whom are middle aged (Mean = 39 year) and most of them (about 53%) have household size of 1-10 persons, and an average farming experience of 13 years with a farm size average of 1.5 hectares. Majority of the hot pepper producers are engaged in its production for income generation while only few among them have access to credits. The result of the gross margin analysis (GM) shows that hot pepper farmers incurred total variable cost (TVC) of NGN138,703.6, and a return of NGN164,513.4 that yielded the profit of NGN25,809.8 per hectare of production and a return on investment of 1.28. The average technical efficiency (TE) of the farmers was found to be 80% among hot pepper farmers in the study area. Moreover the result of the frontier analysis shows that seed, labor and fertilizer are significant inputs determining hot pepper output. In addition to that inefficiency components of the frontier analysis revealed education, access to extension service, cooperative membership, Years of farming experience, farm size, and household size to be the significant determinants of efficiency of hot pepper production in the study area. The result also revealed that farmers in the study area are faced with major challenges of high costs of production inputs and problems of pests and diseases.
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