Impact of improved beehives technology adoption on honey production efficiency: empirical evidence from Southern Ethiopia

Author:

Tarekegn KassaORCID,Ayele Assefa

Abstract

Abstract Background Kaffa, Sheka and Bench Maji zones of Southern Ethiopia are high honey production areas with dense forest coverage. However, due to the traditional production system, the productivity per hive is low. To exploit this production potential in these zones by increasing productivity per hive, different governmental and non-governmental organizations disseminate improved beehives technologies. Yet, the impact of these disseminated and adopted technologies on honey production has not been determined. Thus, this study aimed to estimate the impact of improved beehive adoption on honey production efficiency. Methodology A multistage sampling technique was used to select 360 sampled households. This study applied a stochastic frontier model to assess the technical efficiency (TE) of honey producers and propensity score matching (PSM) with probit model to analyze adoption decision of improved beehive and its impact on honey production efficiency. Results The finding of this study shows that the number hives, type of beehive used, and proximity to the available forest had a significant and positive effect on honey production. The mean TE was 77% that shows the deviation of actual from optimal production amounts. Beekeeping experience, education, level, cooperative membership, participation in improved beehive technology demonstration and extension contact had significant effects on TE. The result of PSM indicates that the adoption of improved beehive technology has a positive and significant effect on production efficiency, as measured by TE. Farmers who adopted improved beehive technology were less technically inefficient than those who did not adopt. Conclusion Overall, the estimated 19.5% difference in TE among the two groups shows there is considerable room for the improvement of beekeeping by efficient utilization of inputs and also provides strong evidence for the diffusion of improved beehives in Kaffa Sheka and Bench Maji zones.

Publisher

Springer Science and Business Media LLC

Subject

Agronomy and Crop Science,Ecology,Food Science

Reference61 articles.

1. FAOSTAT (Food and Agriculture Organization of the United Nations) FAOSTAT database. 2015. http://data.fao.org/ref/262b79ca-279c-4517-93de-ee3b7c7cb553.

2. Shekhar A, Gizachew S. Engaging smallholders in value chains: creating new opportunities for beekeepers in Ethiopia, programme insights. Nairobi: Oxfam GB; 2011.

3. Gallmann P, Thomas H. Beekeeping and honey production in southwestern Ethiopia. 2012. http://www.learningforlife.ch/media/DIR_76001/76253729aa011222ffff8015a426365.pdf.

4. Kenesa T. Status of beekeeping in Ethiopia. J Dairy Vet Sci. 2018;8(4):1–12.

5. CSA (Central Statistical Agency). Survey 2014/15 (2007 E.C.) Volume II report of livestock characteristics (private peasant holdings) Ababa, Ethiopia; 2015.

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3