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Farm, household, and farmer characteristics associated with changes in management practices and technology adoption among dairy smallholders

机译:与乳业小农户管理实践和技术采用变化相关的农场,家庭和农民特征

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摘要

This study explored whether technology adoption and changes in management practices were associated with farm structure, household, and farmer characteristics and to identify processes that may foster productivity and sustainability of small-scale dairy farming in the central highlands of Mexico. Factor analysis of survey data from 44 smallholders identified three factors-related to farm size, farmer's engagement, and household structure-that explained 70 % of cumulative variance. The subsequent hierarchical cluster analysis yielded three clusters. Cluster 1 included the most senior farmers with fewest years of education but greatest years of experience. Cluster 2 included farmers who reported access to extension, cooperative services, and more management changes. Cluster 2 obtained 25 and 35 % more milk than farmers in clusters 1 and 3, respectively. Cluster 3 included the youngest farmers, with most years of education and greatest availability of family labor. Access to a network and membership in a community of peers appeared as important contributors to success. Smallholders gravitated towards easy to implement technologies that have immediate benefits. Nonusers of high investment technologies found them unaffordable because of cost, insufficient farm size, and lack of knowledge or reliable electricity. Multivariate analysis may be a useful tool in planning extension activities and organizing channels of communication to effectively target farmers with varying needs, constraints, and motivations for change and in identifying farmers who may exemplify models of change for others who manage farms that are structurally similar but performing at a lower level.
机译:这项研究探讨了技术采用和管理实践的变化是否与农场结构,家庭和农民特征有关,并确定了可能促进墨西哥中部高地小型奶牛养殖的生产力和可持续性的过程。来自44个小农户的调查数据的因素分析确定了与农场规模,农民参与度和家庭结构有关的三个因素,这些因素可以解释70%的累积差异。随后的层次聚类分析得出三个聚类。集群1包括受过最少教育但经验最丰富的最资深的农民。第2组包括报告获得扩展,合作服务和更多管理变更的农民。集群2的牛奶分别比集群1和3的农民多25%和35%。第三组包括最年轻的农民,他们受过最长的教育,拥有最多的家庭劳动力。对网络的访问以及在同龄社区中的成员身份似乎是成功的重要因素。小农倾向于采用易于实施的,具有直接效益的技术。对于高投资技术的非使用者来说,由于成本,农场规模不足以及缺乏知识或可靠的电力,它们买不起。多变量分析可能是规划扩展活动和组织交流渠道的有效工具,以有效地针对具有变化需求,约束和变化动机的农民,并确定可以为其他管理结构相似但管理农场的人示范变化模型的农民表现较低。

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