Assessment of socio-economic determinants and impacts of climate-smart feeding practices in the Kenyan dairy sector

IF 2.5 3区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Mitigation and Adaptation Strategies for Global Change Pub Date : 2024-04-02 DOI:10.1007/s11027-024-10131-7
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Abstract

The Kenyan dairy sector has economic potential to improve the welfare of rural households. However, the availability of feed resources, an essential input in dairy production, remains a significant constraint and is exacerbated by the effects of climate change. Using a sample of 665 dairy farmers from selected counties, this study assessed the determinants and impact of adoption of climate-smart feeding practices on milk productivity and output, dairy milk commercialization, and dairy and household income. The multinomial endogenous switching regression was used to account for self-selection bias from observable and non-observable factors. The study identified human and social capital, resource endowment, dairy feeding systems, the source of information about feeding practices, and perceived characteristics of these practices as factors that influenced the likelihood of adopting climate-smart feeding practices. The uptake of climate-smart fodder and feed concentrates together significantly increased milk productivity and output and dairy income. The uptake of climate-smart feed concentrates singly also increased dairy milk commercialization and household income. To facilitate the uptake of climate-smart feeding practices, pluralistic extension systems should be strengthened, practices made available, knowledge about climate change enhanced, and practice-oriented learning adopted. Further, the adoption of both climate-smart fodder and feed concentrates should be emphasized for improved household welfare.

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评估肯尼亚奶业中气候智能型饲喂方法的社会经济决定因素和影响
摘要 肯尼亚奶业具有改善农村家庭福利的经济潜力。然而,作为奶业生产的重要投入,饲料资源的可获得性仍然是一个重大制约因素,气候变化的影响更加剧了这一问题。本研究以部分县的 665 位奶牛场主为样本,评估了采用气候智能型饲喂方法的决定因素及其对牛奶生产率和产量、牛奶商业化、奶牛场和家庭收入的影响。研究采用了多项式内生转换回归法,以考虑可观察和不可观察因素造成的自我选择偏差。研究发现,人力和社会资本、资源禀赋、奶牛饲养系统、饲养实践的信息来源以及这些实践的感知特征是影响采用气候智能型饲养实践可能性的因素。采用气候智能型饲料和精饲料可显著提高牛奶生产率和产量以及奶牛收入。单独采用气候智能型精饲料也提高了牛奶的商业化程度和家庭收入。为促进采用气候智能型饲喂方法,应加强多元化的推广系统,提供各种方法,加强对气候变化的了解,并采用以实践为导向的学习方法。此外,应强调同时采用气候智能型饲料和精饲料,以改善家庭福利。
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来源期刊
CiteScore
6.60
自引率
0.00%
发文量
50
审稿时长
3 months
期刊介绍: The Earth''s biosphere is being transformed by various anthropogenic activities. Mitigation and Adaptation Strategies for Global Change addresses a wide range of environment, economic and energy topics and timely issues including global climate change, stratospheric ozone depletion, acid deposition, eutrophication of terrestrial and aquatic ecosystems, species extinction and loss of biological diversity, deforestation and forest degradation, desertification, soil resource degradation, land-use change, sea level rise, destruction of coastal zones, depletion of fresh water and marine fisheries, loss of wetlands and riparian zones and hazardous waste management. Response options to mitigate these threats or to adapt to changing environs are needed to ensure a sustainable biosphere for all forms of life. To that end, Mitigation and Adaptation Strategies for Global Change provides a forum to encourage the conceptualization, critical examination and debate regarding response options. The aim of this journal is to provide a forum to review, analyze and stimulate the development, testing and implementation of mitigation and adaptation strategies at regional, national and global scales. One of the primary goals of this journal is to contribute to real-time policy analysis and development as national and international policies and agreements are discussed and promulgated.
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