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首页> 外文期刊>International Journal of Agricultural Economics >Effects of Small-Scale Agricultural Crop Commercialisation on Rural Household Welfare in Tanzania: A Case Study of Liwale District, Lindi Region
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Effects of Small-Scale Agricultural Crop Commercialisation on Rural Household Welfare in Tanzania: A Case Study of Liwale District, Lindi Region

机译:坦桑尼亚小农作物商品化对农村家庭福利的影响:以林迪地区利瓦勒地区为例

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This study aimed at examining the effect of crop commercialisation on rural households' poverty in Tanzania. The household survey data was collected from a sample of 389 rural households. Commercialisation index was used to estimate the level of household crop commercialisation. The principal component analysis was used to develop a household welfare index which was then clustered to identify poor and non-poor households through cluster analysis, the method automatically guided the decision retaining two clusters by calculating the measure-of-fit that is Bayesian Information Criterion (BIC). To examine the factors affecting the household poverty status, a logistic model was employed. Results revealed that the majority (65.6%) of the households are poor. The level of crop commercialisation is averaged to 66% indicating a commercialised farming practice. The results further showed that crop commercialisation, women participation in crop income allocation, off-farm income, access to extension services and household size significantly reduce household poverty while household head's age had an adverse effect. The study suggests that the small and medium agricultural processing units in rural areas should be given priorities and strengthened since they are crucial to promoting the level of commercialisation among rural households. Furthermore, in periods of sufficient and excess harvest, the crops trade restrictions with the neighbour countries should be eliminated to increase the level of commercialisation and earnings to the local rural farmers.
机译:这项研究旨在检验农作物商业化对坦桑尼亚农村家庭贫困的影响。家庭调查数据是从389个农村家庭的样本中收集的。商业化指数用于估计家庭作物商业化水平。主成分分析用于建立家庭福利指数,然后通过聚类分析将其聚类以识别贫困和非贫困家庭,该方法通过计算适合度即贝叶斯信息准则,自动指导保留两个聚类的决策(BIC)。为了检验影响家庭贫困状况的因素,采用了逻辑模型。结果显示,大多数家庭(65.6%)贫穷。作物商业化的平均水平为66%,表明商业化的耕作实践。结果还表明,农作物商业化,妇女参与农作物收入分配,非农收入,获得推广服务和家庭人数的减少,大大减少了家庭贫困,而户主的年龄却有不利影响。研究表明,应优先考虑并加强农村中小型农业加工单位,因为它们对于提高农村家庭的商品化水平至关重要。此外,在丰收和过量的时期,应取消与邻国的作物贸易限制,以提高商品化水平和当地农民的收入。

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