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Application of the Stochastic Production Frontier Function Model to Cassava Production in the Floodplain Area of Rivers State, Nigeria

机译:随机生产前沿函数模型在尼日利亚河流州洪泛区木薯生产中的应用

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This study examined the application of the stochastic production frontier function model to cassava production in the floodplain area of Rivers State, Nigeria. The need to evaluate the physical productivity consideration (technical efficiency) in cassava production in the floodplain necessitated this study. The objectives of the study include; identify socio-economic characteristics of the farmers; level of technical efficiency, determinants of technical efficiency and inefficiency. 170 respondents were randomly selected. Data was collected using questionnaire and farm records. Descriptive statistics and stochastic production frontier function model were the analytical tools used. The result indicated that the average age of the farmers was 44 years and mainly females. The average family size was 8 persons, majority (49.4 %) of the respondents had primary school certificate and 28.8% of the farmers had farm size of less than 0.4 hectare. The result of the technical efficiency indicated that farm size and number of labour used positively influenced the technical efficiency at 1 percent level of significance. The estimated gamma parameter of the model was 0.62, which implied that 62 percent of the total variation in cassava output among the producers could be attributed to differences in the technical efficiencies. The mean technical efficiency was 70 percent. None of the variables included in the model exerted a significant relationship on the technical inefficiency of the farms. Farmers were advised to increase the volume of input use of farm size and quantity of labour in order to achieve the best frontier in cassava production in the study area. Keys words: stochastic frontier model, cassava production, floodplain area, Rivers State, Nigeria
机译:这项研究检验了随机生产前沿函数模型在尼日利亚河州洪泛区的木薯生产中的应用。需要评估洪泛区木薯生产中的物理生产率考虑因素(技术效率),因此需要进行这项研究。研究目标包括:确定农民的社会经济特征;技术效率水平,技术效率和效率低下的决定因素。随机选择170名受访者。使用问卷和农场记录收集数据。描述性统计和随机生产前沿函数模型是使用的分析工具。结果表明,农民的平均年龄为44岁,主要是女性。平均家庭规模为8人,大多数(49.4%)的受访者拥有小学证书,而28.8%的农民的农场规模小于0.4公顷。技术效率的结果表明,农场规模和使用的劳动力数量对技术效率的正面影响为1%。该模型的估计伽玛参数为0.62,这意味着生产者之间木薯产量总变化的62%可以归因于技术效率的差异。平均技术效率为70%。模型中包含的所有变量均未对农场的技术效率低下产生显着影响。建议农民增加农场规模的投入物使用量和劳动力数量,以在研究区实现木薯生产的最佳前沿。关键词:随机边界模型;木薯生产;洪泛区;河流州;尼日利亚

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