Impact of climate-smart maize varieties on household income among smallholder farmers in Kenya: The case of Embu County

IF 0.4 Q4 AGRICULTURAL ECONOMICS & POLICY African Journal of Agricultural and Resource Economics-AFJARE Pub Date : 2022-09-30 DOI:10.53936/afjare.2022.17(3).15
John K. Wanjira, J. Mburu, F. Nzuve, S. Makokha, R. Emongor, Catheline Taracha
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引用次数: 1

Abstract

Variability in climate and debility in soil fertility affect agrarian production, especially in subSaharan Africa, and thus threaten food security. This has prompted the seed sector to introduce various varieties of climate-smart maize in Kenya and release them in the market. In contrast, there is little experiential insight into how the adoption of these varieties by small-scale farmers affects their household income. This paper used cross-sectional data to evaluate the implications of climatesmart maize varieties on small-scale farmers’ household income in Embu County in Kenya. The endogenous switching regression model was used to estimate the influence of climate-smart maize adoption on household income. Based on survey data obtained from 550 maize farmers in Embu County, the results show that age, education, land under climate-smart maize varieties, and distance to the market positively influenced the income level of the adopters. The findings further reveal that the decision to adopt the climate-smart maize varieties had a significant positive effect of about 60% on farmers’ household income. It therefore can be concluded from the results that the adopters would gain more from technology adoption. These results recommend policies that stimulate the adoption of current climate-smart varieties, with an emphasis on adoption by youths, to create more jobs and increase household income to reduce poverty among smallholder farmers in Kenya
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气候智能型玉米品种对肯尼亚小农家庭收入的影响:以恩布县为例
气候的可变性和土壤肥力的脆弱性影响农业生产,特别是在撒哈拉以南非洲,从而威胁到粮食安全。这促使种子部门在肯尼亚引入各种气候智能玉米品种,并将其投放市场。相比之下,对于小规模农民采用这些品种如何影响其家庭收入,几乎没有经验见解。本文利用横断面数据评估了气候智能玉米品种对肯尼亚恩布县小规模农户家庭收入的影响。采用内生切换回归模型来估计气候智能玉米的采用对家庭收入的影响。基于对恩布县550名玉米种植户的调查数据,结果表明,年龄、教育程度、气候智能玉米品种下的土地以及与市场的距离对采用者的收入水平产生了积极影响。研究结果进一步表明,采用气候智能玉米品种的决定对农民的家庭收入产生了约60%的显著积极影响。因此,从结果可以得出结论,采用者将从技术采用中获得更多收益。这些结果建议制定政策,鼓励采用当前的气候智能型品种,重点是年轻人采用,以创造更多就业机会,增加家庭收入,从而减少肯尼亚小农户的贫困
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来源期刊
CiteScore
1.20
自引率
16.70%
发文量
8
期刊介绍: The African Journal of Agricultural and Resource Economics (AfJARE)/Journal Africain d’Economie Agricole et des Ressources (JAEAR) is a publication of the African Association of Agricultural Economists (AAAE). The journal publishes original research about how African agriculture interacts with local and global economic systems and policy regimes in its impacts upon people. The scope of the journal covers the roles of markets, technology, policy, institutions and the natural environment in shaping the lives of well being of Africans engaged in agricultural activities. The journal strives to nurture and enhance the capacity of African professionals to conduct and publish scientific research and provides a venue for communicating and disseminating their findings. Multi-disciplinary, problem-oriented articles are encouraged. Submissions may deal with teaching, research extension, consulting, advising, entrepreneurship and administration. The Chief Editors and Editorial Board, under the general direction of the AAAE President, Executive Committee and Council are charged with implementing Journal policy to serve members of AAAE. The main section of the journal publishes technical research articles while a small section is devoted to publishing brief notes with important policy content and book reviews. The journal is a quarterly publication.
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