尼日利亚卡杜纳州小农农林业生产技术的技术效率

O. Alabi, Godbless Friday Safugha
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摘要

本研究评估了尼日利亚卡杜纳州小农农林业生产技术的技术效率。采用多级采样技术。总样本量为120名小农农林业农户。通过结构合理、设计合理的调查问卷收集初步数据。分析工具包括:描述性统计、农场预算技术、财务分析、随机生产前沿模型和主成分模型。约85%的农林业农民为男性,15%为女性。87.50%的农林业农户年龄在50岁以下。平均年龄为45岁。此外,85%的农林业农民受过正规教育并识字。家庭规模较大,平均每户6人。实践的农林复合系统包括:巷子耕作、防护林、防风林、家庭花园、人工造林、水产林业、农田保留树木、黄土系统、人工种植的公园用地和森林牧场。农场预算技术的结果表明,农林复合经营在研究区小农中是有利可图的。最大似然估计结果显示,影响农林复合生产技术产出的显著因子为:种子投入(P<0.05)、农场规模投入(P<0.01)、肥料投入(P<0.10)、劳动力投入(P<0.10)和化学品投入(P<0.01)。影响农林业生产技术效率低下的显著因素为:性别(P<0.10)、婚姻状况(P<0.01)、文化程度(P<0.01)、农林业生产经验(P<0.01)和家庭规模(P<0.10)。小农农林业农户的平均技术效率得分为40.18%。农林业农民面临的制约因素包括:缺乏培训和能力建设、推广人员不足、缺乏改良种子、缺乏信贷设施、缺乏肥料和缺乏农林业树苗。该研究建议,应向农民提供农林业树苗,应提供信贷便利,使他们容易获得农林业生产技术,应雇用推广人员,并应提供改良种子和肥料,以提高生产力。
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Technical efficiency of agroforestry production technology among smallholder farmers in Kaduna State, Nigeria
This study evaluated technical efficiency of agroforestry production technology among smallholder farmers in Kaduna State, Nigeria. Multi-stage sampling technique was adopted. A total sample size of 120 smallholder agroforestry farmers was used. Primary data were collected with the aid of structured and well-designed questionnaire. Analytical tools used were: descriptive statistics, farm budgeting techniques, financial analysis, stochastic production frontier model, and principal component model. About 85% of agroforestry farmers were male, while 15% were female. Also, 87.50% of agroforestry farmers were less than 50 years of age. The mean age was 45 years. Furthermore, 85% of agroforestry farmers had formal education and were literate. The household sizes were large with mean value of 6 members per household. The agroforestry systems practiced include: alley farming, shelterbelts, wind breaks, home gardens, api-silviculture, aqua-forestry, retaining tree on farm land, taungya systems, farmed parkland, and silvo-pasture. The result of the farm budgetary technique show that agroforestry farming was profitable among the smallholder farmers in the study area. The result of the maximum likelihood estimates shows that the significant factors influencing output of agroforestry production technology were: seed input (P<0.05), farm size input (P<0.01), fertilizer input (P<0.10), labour input (P<0.10), and chemical input (P<0.01). The significant factors influencing technical inefficiency of agroforestry production technology were: gender (P<0.10), marital status (P<0.01), education level (P<0.01), experience in agroforestry production (P<0.01) and size of households (P<0.10). The average technical efficiency score obtained by the smallholder agroforestry farmers was 40.18%. The constraints facing agroforestry farmers include: lack of training and capacity building, inadequate extension officers, lack of improved seeds, lack of credit facilities, lack of fertilizers, and lack of agroforestry tree seedlings. The study recommends that agroforestry tree seedlings should be made available to farmers, credit facilities should be provided for easy access to agroforestry production technologies, extension officers should be employed, and improved seeds, fertilizers should be provided for increased productivity.
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