肯尼亚Nyandarua北部次县牛奶生产者采后牛奶损失的决定因素和原因

M. Ndungu, J. Lagat, JK Langat
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引用次数: 1

摘要

年达鲁阿县拥有巨大的牛奶生产潜力和大量的牛奶,因为奶牛数量众多,加上国内外巨大的牛奶市场需求。尽管有这种潜力,但采后牛奶的损失对该县的乳制品部门构成了重大挑战。当前研究的总体目标是确定牛奶生产商损失的原因,以及影响牛奶销售渠道选择的因素。通过按比例抽样,从Nyandarua北副县共选择了188家牛奶生产商,包括正规和非正规牛奶价值链。在Microsoft Excel, STATA和SPSS Ver. 21的帮助下进行统计分析和定量分析。第一步Heckman结果表明,户主年龄、户主性别、受教育程度、品种类型、产奶量总量、饲养制度、记录保存方式和牛奶容器类型对牛奶销售渠道的选择有显著影响。第二步,Heckman的研究结果表明,奶牛养殖经验、到牛奶收集点的距离、品种类型、总产奶量、使用清洁剂清洁牛奶容器、喂养系统和保存生产记录是牛奶生产者损失牛奶的重要原因。根据目前的研究结果,建议政策执行者和乳制品利益相关者考虑到这些损失的影响直接影响农民和其他乳制品链参与者的经济福祉和生计,应优先努力尽量减少采后牛奶损失。需要根据回报和便利性对正式和非正式的牛奶销售渠道进行重新评估,重点是采后牛奶的适当管理和处理。这将减少牛奶生产商和运输商的损失和额外成本,从而为乳制品价值链中各自的链条参与者带来更高的经济回报。
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Determinants and causes of postharvest milk losses among milk producers in Nyandarua North subcounty, Kenya
ABSTRACT Nyandarua County has enormous milk production potential and has a large amount of milk, because of large a population of dairy cows coupled with the huge milk market demand from within and without. Despite this potential, milk postharvest losses have posed a major challenge to the dairy sector in the county. The general objective of the current study was to establish causes of losses among milk producers, as well as factors that contribute to the choice of a milk-marketing channel. A total of 188 milk producers were selected through proportionate to size sampling from Nyandarua North subcounty, including the formal and informal milk value chains. A statistical analysis, as well as a quantitative analysis was done with the help of Microsoft Excel, STATA and SPSS Ver. 21. The first step Heckman results indicate that age of household head, gender of household head, education level, breed type, total milk output, feeding system, keeping of records and type of milk container significantly influenced the choice of milk-marketing channel. The second step Heckman results suggest that dairy farming experience, distance to milk collection point, type of breed, total milk output, use of detergent to clean milk containers, feeding system and keeping of production records were significant as far as causes of milk losses among milk producers was concerned. Based on the results of the current study, it is recommended that policy implementers and dairy stakeholders should prioritise efforts to minimise postharvest milk losses considering that the implications of these losses directly affect the economic wellbeing and livelihood of farmers and other dairy chain participants. Milk-marketing channels, both formal and informal, need to be re-evaluated based on returns and convenience with emphasis on proper postharvest milk management and handling. This will reduce on the losses and additional cost incurred by milk producers and transporters resulting to higher economic returns for the respective chain participants in the dairy value chain.
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