英文文献:A Latent Class Analysis of agricultural technology adoption behavior in Uganda: Implications for Optimal Targeting-乌干达农业技术采用行为的潜在阶层分析:对最佳目标的暗示
英文文献作者:Bisimungu, Emmanuel,Kabunga, Nassul
英文文献摘要:
Agricultural productivity is still lower in Africa. This is largely attributed to the lower than expected adoption of modern agricultural technologies. Existing on studies are marred by univariate analyses on single technologies over a limited scope while assuming that the uniform effects of the explanatory variables across farm households. In this study, we use a large dataset that typically covers a wider geographical and agricultural scope to describe modern technology use in Uganda. Using statistical data reduction approaches, we show distinct classes of farmers based on the package of modern technologies mix used. Overall, we find that improved seeds, pesticides and fertilizer are the most commonly used crop technologies while veterinary drugs are the most commonly used technology for livestock farmers. We also find that the majority of farmers, 61% do not use any modern agricultural technology and thus consider them as non-adopters. On the other hand, we find only 5% of farmers belonging to the intensified diversifiers, adopting most of the commonly available agro technologies across crop and livestock enterprises. Using multinomial regression analysis, show that education of the household head, access to extension messages and affiliation to social groups, but with varying intensities, are the key factors that drive switching from the non-adopter reference class to the other three preferred classes that use modern agricultural technologies to varying levels.
非洲的农业生产率仍然较低。这主要是由于现代农业技术的采用低于预期。现有的研究被对单一技术在有限范围内进行的单变量分析所破坏,同时假设解释变量对农户的影响是一致的。在这项研究中,我们使用了一个大数据集,通常涵盖了更广泛的地理和农业范围,以描述现代技术在乌干达的使用。利用统计数据简化方法,我们根据所使用的一揽子现代技术组合显示了不同的农民阶层。总的来说,我们发现改良种子、杀虫剂和化肥是最常用的作物技术,而兽药是饲养牲畜的农民最常用的技术。我们还发现,绝大多数的农民(61%)不使用任何现代农业技术,因此认为他们没有采用任何现代农业技术。另一方面,我们发现只有5%的农民属于集约型多样化,采用了大部分农作物和畜牧业企业的通用农业技术。使用多项回归分析显示,户主的受教育程度、获得推广信息的机会和与社会群体的联系(但强度不同)是驱动从非参照阶层向其他三个使用现代农业技术的优先阶层转变的关键因素。