Adoption decisions for climate-smart dairy farming practices: Evidence from smallholder farmers in the Salale highlands of Ethiopia

Abraham Abera Feyissa , Adugna Tolera , Feyera Senbeta , Dawit Diriba
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Abstract

The adoption rate of climate-smart livestock production in Ethiopia has remained low, despite its potential to increase animal productivity and reduce greenhouse gas emissions. Understanding the factors that influence smallholder farmers' (SHFs) decisions to adopt improved practices is crucial for tailoring strategies for stakeholders and policymakers. The present study examines factors that determine adoption and the intensity of adoption of multiple climate-smart dairy (CSD) farming practices, including improved breeds, feed, and feeding conditions, forage, and manure management, using data from 480 SHFs in Salale highlands. The study employed a multivariate probit model (MVP) to analyze the simultaneous adoption of multiple CSD farming practices and an ordered probit model to examine factors influencing the degree of adoption. The results indicate that about 90 ​% of the smallholder farmers have adopted at least two of the CSD farming practices. Improved breed, improved feed, and improved feeding conditions are the most commonly adopted farming practices, whereas improved forage is the least adopted improved practice in the study area. Our result showed that most CSD farming practices have complementary associations. Furthermore, gender, dependency ratio, land size, Tropical Livestock Unit (TLU), off-farm activity, access to extension services, farmer-to-farmer communication, and distance to the nearest market significantly influence smallholder farmers' adoption and intensity of adoption of multiple CSD farming practices. The result suggest that the government bodies should prioritize encouraging the uptake of improved forages and should take the required steps to facilitate their implementation. To accelerate the adoption of CSD farming practices for SHFs and promote their widespread implementation across the region, policymakers and implementers must recognize the synergies between these practices. Interventions that improve access to agricultural resources, supply chain inputs and outputs, as well as service provision, will further facilitate the adoption and effective implementation of CSD farming practices.

Abstract Image

采用气候智能型奶牛养殖方式的决策:来自埃塞俄比亚萨拉莱高地小农的证据
尽管气候智能型畜牧生产具有提高动物生产力和减少温室气体排放的潜力,但埃塞俄比亚的采用率仍然很低。了解影响小农决定采用改进做法的因素对于为利益相关者和决策者量身定制战略至关重要。本研究利用萨拉莱高地480家小规模养殖场的数据,考察了决定多种气候智慧型奶牛(CSD)养殖方式采用程度和采用程度的因素,包括改良品种、饲料和饲养条件、饲料和粪肥管理。本研究采用多元probit模型(MVP)分析同时采用多种CSD耕作方式的情况,并采用有序probit模型考察影响采用程度的因素。结果显示,约90%的小农至少采用了CSD的两种耕作方式。改良品种、改良饲料和改良饲养条件是最常采用的耕作方法,而改良饲料是研究地区采用最少的改良方法。我们的结果表明,大多数CSD耕作方式具有互补关联。此外,性别、抚养比、土地面积、热带牲畜单位(TLU)、非农活动、获得推广服务的机会、农民与农民之间的沟通以及与最近市场的距离显著影响小农采用多种CSD耕作方式的程度和强度。结果表明,政府部门应优先鼓励采用改良牧草,并采取必要措施促进其实施。为了加快可持续发展农业实践在小农户中的应用,并促进其在整个区域的广泛实施,政策制定者和实施者必须认识到这些实践之间的协同效应。改善农业资源获取、供应链投入和产出以及服务提供的干预措施,将进一步促进可持续发展农业实践的采用和有效实施。
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