尼日利亚西瓜(Citrullus lenatus)生产的随机前沿技术效率分析

OI Ettah, JA Igiri, JB Effiong, MA Iyam, IA Asuquo, FO Faithpraise, Otu Ikoi Ettah
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Socio-economic attributes like age, farm size, educational status and farm experience were described to show their relationship with watermelon production in the study area. Results of the stochastic frontier model showed that all the estimated coefficients of the variables of the production function were positive except fungicide. They included: farm size (0.0795), labour (0.0201), number of seed grown (0.926) and fertilizer (0.0207). This implied that watermelon output increases with increase in these variables. It was also shown that labour (0.441), fertilizer (0.475) and fungicide (-1.662) did not exert any significant effect on watermelon output as shown by their t-ratio values. 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引用次数: 0

摘要

该研究分析了尼日利亚西瓜(Citrullus lenatus)的生产效率。采用多阶段抽样技术选出了 360 名受访者。采用目的性抽样和简单随机抽样,并通过结构化问卷收集数据。研究的目的是确定受访者的社会经济特征,确定技术效率,并衡量研究地区西瓜生产的总资源生产率。使用描述性统计和随机前沿模型(柯布-道格拉斯生产函数)定量分析工具对数据进行了分析。对年龄、农场规模、教育状况和农场经验等社会经济属性进行了描述,以显示它们与研究地区西瓜生产的关系。随机前沿模型的结果显示,除杀菌剂外,所有生产函数变量的估计系数均为正值。这些变量包括:农场规模(0.0795)、劳动力(0.0201)、种子种植数量(0.926)和肥料(0.0207)。这意味着西瓜产量随着这些变量的增加而增加。此外,劳动力(0.441)、化肥(0.475)和杀菌剂(-1.662)对西瓜产量的影响不显著,这体现在它们的 t 比值上。在影响西瓜种植户技术效率低下的因素中,种植户年龄和农场规模均为负数且在 0.05 的概率水平上显著,而家庭规模、教育程度和种植经验均为正数且在 5%的显著性水平上显著,种植类型为正数且在 10%的显著性水平上显著。非农收入为正,且在 5%的概率水平上显著。这意味着这些变量每增加一个单位都会增加农民的技术低效率,从而降低他们的技术效率。最后,规模收益参数返回值为 0.967,表明研究地区的西瓜生产处于生产面的第二阶段。根据分析结果,提出了以下建议。应向西瓜种植农提供贷款并鼓励他们接受贷款、获得推广服务帮助并成为农民协会成员,以提高产量。此外,还应增加投入,如农场面积、劳动力、种子、化肥和杀菌剂,以实现最佳生产。关键字西瓜、生产、随机前沿模型、技术效率、尼日利亚
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Stochastic frontier technical efficiency analysis of watermelon (Citrullus lenatus) production in Nigeria
The study analysed the efficiency of Watermelon (Citrullus lenatus) Production in Nigeria. A multi-stage sampling technique was used in selecting three hundred and sixty (360) respondents. Selection was done with purposive and simple random sampling, and data collected with a structured questionnaire. The objectives of the study were to identify the socio-economic characteristics of the respondents, determine the technical efficiency and measure the total resource productivity of watermelon production in the study area. The data were analyzed using descriptive statistics and quantitative analytical tool of stochastic frontier model (Cobb Douglas production function). Socio-economic attributes like age, farm size, educational status and farm experience were described to show their relationship with watermelon production in the study area. Results of the stochastic frontier model showed that all the estimated coefficients of the variables of the production function were positive except fungicide. They included: farm size (0.0795), labour (0.0201), number of seed grown (0.926) and fertilizer (0.0207). This implied that watermelon output increases with increase in these variables. It was also shown that labour (0.441), fertilizer (0.475) and fungicide (-1.662) did not exert any significant effect on watermelon output as shown by their t-ratio values. For the factors affecting technical inefficiency of watermelon farmers, age of farmers and farm size were negative and significant at 0.05 levels of probability, while household size, educational qualification and farming experience were all positive and significant at 5% levels of significance and type of cropping was positive and significant at 10% level of significance. Non-farm income was positive and significant at 5% level of probability. This means that one unit increase in these variables would increase technical inefficiency of the farmers and hence decreasing their technical efficiency. Finally, the return to scale parameter returned the value 0.967 which indicated that watermelon production in the study area was in the Stage II of the production surface. Based on the results of the analysis the following were recommended. Watermelon farmers should be provided and encouraged to take loans, be assisted with extension services and become members of farmer associations, in order to boost their production. Also inputs such as farm size, labour, seeds, fertilizer and fungicide should be increased for optimum production. Key words: Watermelon, production, stochastic frontier model, technical efficiency, Nigeria
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来源期刊
African Journal of Food, Agriculture, Nutrition and Development
African Journal of Food, Agriculture, Nutrition and Development Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
0.90
自引率
0.00%
发文量
124
审稿时长
24 weeks
期刊介绍: The African Journal of Food, Agriculture, Nutrition and Development (AJFAND) is a highly cited and prestigious quarterly peer reviewed journal with a global reputation, published in Kenya by the Africa Scholarly Science Communications Trust (ASSCAT). Our internationally recognized publishing programme covers a wide range of scientific and development disciplines, including agriculture, food, nutrition, environmental management and sustainable development related information.
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