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首页> 外文期刊>Journal of Sustainable Development >Determinants and Change in Total Factor Productivity of Smallholder Maize Production in Southern Zambia
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Determinants and Change in Total Factor Productivity of Smallholder Maize Production in Southern Zambia

机译:赞比亚南部小农玉米生产的决定因素和全要素生产率的变化

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Smallholder maize production in Zambia has been characterised by low productivity despite concerted efforts at improving the situation as is evident in budgetary allocations to programmes such as the Farmer Input Support Programme (FISP). The study assessed if there was a change in total factor productivity (TFP) in smallholder maize production in Southern Province of Zambia between the 2010/11 and 2013/14 agricultural seasons. Using a balanced panel of 778 smallholder farmers, a Stochastic Frontier Analysis was used to estimate the Malmquist Productivity Index (MPI) in measuring the productivity change in maize production. The change in TFP was further decomposed into its components, efficiency change (EC) and technical change (TC) so as to understand more on the change in productivity. It was found that over the period of study, the mean EC was 0.8734, implying that technical efficiency (TE) had declined by 12.7 % with the mean TFP of 0.9401, indicating that over the study period TFP had fallen by 5.99 %. The results further showed that the age of the farmer, education of the farmer, household size, membership to a farmer organization, ownership of cattle, access to credit, and drought stress were significant (<0.05) factors in explaining TFP. In light of the findings, some recommendations were made for policy including the need to facilitate farmers' access to credit, sensitize farmers on the benefits of belonging to farmer organizations, on ownership of livestock such as cattle and for massive investment in irrigation infrastructure.
机译:尽管为改善这种状况作出了共同努力,但赞比亚小农玉米生产的特点是生产力低下,这在向农民投入支持计划(FISP)等计划的预算拨款中可以明显看出。该研究评估了2010/11年至2013/14年农业季节期间,赞比亚南部省小农玉米生产的全要素生产率(TFP)是否发生变化。在由778名小农户组成的平衡小组中,使用随机前沿分析来估计马尔姆奎斯特生产力指数(MPI),以衡量玉米生产中的生产力变化。 TFP的变化被进一步分解为其组成部分,效率变化(EC)和技术变化(TC),以便对生产力变化有更多的了解。发现在研究期间,平均EC为0.8734,这意味着技术效率(TE)下降了12.7%,平均TFP为0.9401,表明在研究期间TFP下降了5.99%。结果进一步表明,农民的年龄,农民的教育程度,家庭人数,农民组织的成员身份,牲畜的所有权,获得信贷的机会以及干旱压力是解释全要素生产率的重要因素(<0.05)。根据调查结果,提出了一些政策建议,包括需要促进农民获得信贷,使农民对属于农民组织的利益,对牲畜(如牛)的所有权以及对灌溉基础设施的大量投资敏感。

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