Impact of Modern Beehive Technology Adoption on Household Income: Evidence from North Shewa Zone, Oromia National Regional State, Ethiopia

Nigusu Tadese Abera, Gadisa Girma
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Abstract

Hidabu Abote, Dera, Wera Jarso and Debra Libanos districts of North Shewa zone are potential in honey production. To enhance this potential, different organizations disseminate improved beehives technologies for the smallholder farmers. However, the impact of the disseminated technologies on household income has not been evaluated. Thus, this study aimed to evaluate the impact of improved beehive adoption on household income. Purposive and two stage sampling technique was used to select 384 sampled households. The study used logistic regression model to identify the determinants of adoption decision of modern beehive technology while propensity score matching to evaluate the impact of modern beehive technology adoption on household income. The result of logistic regression model shows that age of household head, family size, households experience in beekeeping, frequency of extension contact, access to credit services, access to training and access to beehive demonstration site visit had positive and significant effect on household adoption decision of modern beehive technology. The result of propensity score matching indicates that the adopters of improved beehive technology were earned Birr 2690.383 than non-adopter. The difference in household income between the two groups shows that there is considerable room for improvement of household income through increasing the number of adopter of improved beehives technology in the study area. This should be done through provision of training, credit, extension and expansion of beehive demonstration site among the others.
采用现代蜂窝技术对家庭收入的影响:来自埃塞俄比亚奥罗米亚民族地区州北谢瓦区的证据
北谢瓦地区的Hidabu Abote、Dera、Wera Jarso和Debra Libanos地区具有蜂蜜生产潜力。为了提高这种潜力,不同的组织向小农传播改进的蜂箱技术。但是,传播的技术对家庭收入的影响尚未得到评价。因此,本研究旨在评估改进的蜂窝采用对家庭收入的影响。采用目的抽样和两阶段抽样的方法,选取了384户抽样家庭。本研究采用logistic回归模型识别现代蜂箱技术采用决策的决定因素,并采用倾向得分匹配评估现代蜂箱技术采用对家庭收入的影响。logistic回归模型结果显示,户主年龄、家庭规模、家庭养蜂经验、推广联系频率、获得信贷服务、获得培训和获得蜂箱示范参观对家庭采用现代蜂箱技术的决策有显著的正向影响。倾向得分匹配结果表明,采用改进蜂巢技术的人比未采用改进蜂巢技术的人获得Birr 2690.383。两组家庭收入的差异表明,通过增加研究地区改良蜂箱技术采用者的数量,家庭收入有相当大的改善空间。这应通过提供培训、信贷、扩展和扩大蜂巢示范点等办法来实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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