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首页> 外文期刊>International Journal of Agricultural Economics >Crop-Industry Relevance Index: Assessment Model for Tanzania
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Crop-Industry Relevance Index: Assessment Model for Tanzania

机译:作物行业相关指数:坦桑尼亚评估模型

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摘要

The interdependence between agriculture and industry sectors has increased in developing countries where smallholder farmers dominate agricultural production. However, methodology for assessing the contribution of smallholder farmers to the industrialization is lacking. The current paper presents the developed crop-industry relevance index (CIRI) framework used to analyze crop production and gauge the contribution of smallholder farming in industrial development in Tanzania. The study employed the Analytic Hierarchy Process (AHP) to derive weights for constructing the CIRI. The study defined five criteria that represents characteristics of crop types defining the crop industry relevance. The pairwise matrix representing value judgement on the contribution of different crop types to the industrialization were established. The normalization procedure resulted to derivation of weights. Consistency analysis performed to check the consistency in the value judgement on role of different crop types on industrialization. The results are that, the consistency ratio was 0.0318 implying robust weight values. Finding are that, the contribution of smallholder farmers to the production of industrial relevant crops is estimated to be 20% in year 2014. The estimated industrial value is mainly contributed by maize, paddy, cassava, cotton, sugarcane and sunflower. The implication is that while maize, cassava and paddy are produced primarily for food, there is emerging importance in the industrial development. Effort to enhance crop production focusing these crops beers dual benefits in the country.
机译:农业和行业之间的相互依存在发展中国家的发展中国家有所增加,其中小农农民主导农业生产。但是,缺乏评估小农农民对工业化的贡献的方法。本文介绍了发达的作物行业相关指数(CIRI)框架,用于分析作物生产,并衡量小农农业在坦桑尼亚工业发展中的贡献。该研究采用了分析层次处理(AHP)来衍生来构建CIRI的权重。该研究确定了五个标准,其代表了定义作物行业相关性的作物类型的特征。建立了代表对工业化的不同作物类型贡献的价值判断的成对矩阵。归一化程序导致衍生权重。在对不同作物类型对工业化的作用中的价值判断中的一致性进行了一致性分析。结果是,稠度比为0.0318,暗示稳健的重量值。结果是,小农农民在生产工业作物生产中的贡献估计在2014年的20%。估计的工业价值主要由玉米,稻谷,木薯,棉花,甘蔗和向日葵提供贡献。这一含义是,虽然玉米,木薯和稻田主要用于食品,但在产业发展中具有新的重要性。努力加强作物生产,将这些作物啤酒的啤酒料在该国的双重福利。

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