Factors Influencing Climate-Smart Agriculture Practices Adoption and Crop Productivity among Smallholder Farmers in Nyimba District, Zambia

chavula petros, Samuel Feyissa, Million Sileshi, C. Shepande
{"title":"Factors Influencing Climate-Smart Agriculture Practices Adoption and Crop Productivity among Smallholder Farmers in Nyimba District, Zambia","authors":"chavula petros, Samuel Feyissa, Million Sileshi, C. Shepande","doi":"10.12688/f1000research.144332.1","DOIUrl":null,"url":null,"abstract":"Background The profound impacts of climate change on the environment, economy, and society are anticipated to significantly influence smallholder farmers, whose livelihoods and traditional ways of life are inextricably intertwined with the natural environment. This comprehensive study delves into the multifaceted factors shaping the adoption of climate-smart agricultural practices and their subsequent effects on crop productivity among the small-scale farming communities in Nyimba District, situated within Zambia. Methods The study collected data from 194 smallholder farmer households across 12 villages in 4 agricultural camps of Nyimba District between June and July 2022. A logistic regression model was utilized to assess the factors influencing crop production and the adoption of climate-smart agricultural practices in response to climate change and variability within the study area. Furthermore, propensity score matching was performed to evaluate the impacts of adopting climate-smart agriculture by comparing adopter households with their non-adopter counterparts. Results The logit regression model’s findings from the research indicate that several factors influence smallholder farmer households’ adoption of climate-smart agricultural techniques and crop productivity. These factors include the farmer’s educational level, household size, fertilizer utilization, the household head’s age and gender, farming experience duration, livestock ownership status, annual household income, farmland size, the household head’s marital status, and access to climate-related information. Additionally, the propensity score matching analysis revealed that crop yields among smallholder farmers who adopted climate-smart agricultural practices were 20.20% higher compared to non-adopters. Furthermore, the analysis showed that implementing such practices in the study area led to a 21.50% increase in maize yields for adopter households relative to their non-adopter counterparts. Conclusion The findings of this research offer valuable insights to policymakers, guiding them in enhancing farmers’ climate change adaptation strategies and formulating relevant policies. Nevertheless, these initiatives and concerted efforts possess the potential to mitigate the detrimental impacts posed by climate change and climatic variability. This manuscript is an extract from my master of science degree in climate-smart agriculture from Haramaya University titled ‘Climate-Smart Practices: Effects of Agroforestry and Conservation Agriculture on Selected Physicochemical Properties of Soils and Crop Productivity among Smallholder Farmers, in Nyimba, Zambia.’ Please refer to this link; http://ir.haramaya.edu.et/hru/bitstream/handle/123456789/6402/PETROS%20CHAVULA.pdf?isAllowed=y&sequence=1","PeriodicalId":504605,"journal":{"name":"F1000Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"F1000Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12688/f1000research.144332.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background The profound impacts of climate change on the environment, economy, and society are anticipated to significantly influence smallholder farmers, whose livelihoods and traditional ways of life are inextricably intertwined with the natural environment. This comprehensive study delves into the multifaceted factors shaping the adoption of climate-smart agricultural practices and their subsequent effects on crop productivity among the small-scale farming communities in Nyimba District, situated within Zambia. Methods The study collected data from 194 smallholder farmer households across 12 villages in 4 agricultural camps of Nyimba District between June and July 2022. A logistic regression model was utilized to assess the factors influencing crop production and the adoption of climate-smart agricultural practices in response to climate change and variability within the study area. Furthermore, propensity score matching was performed to evaluate the impacts of adopting climate-smart agriculture by comparing adopter households with their non-adopter counterparts. Results The logit regression model’s findings from the research indicate that several factors influence smallholder farmer households’ adoption of climate-smart agricultural techniques and crop productivity. These factors include the farmer’s educational level, household size, fertilizer utilization, the household head’s age and gender, farming experience duration, livestock ownership status, annual household income, farmland size, the household head’s marital status, and access to climate-related information. Additionally, the propensity score matching analysis revealed that crop yields among smallholder farmers who adopted climate-smart agricultural practices were 20.20% higher compared to non-adopters. Furthermore, the analysis showed that implementing such practices in the study area led to a 21.50% increase in maize yields for adopter households relative to their non-adopter counterparts. Conclusion The findings of this research offer valuable insights to policymakers, guiding them in enhancing farmers’ climate change adaptation strategies and formulating relevant policies. Nevertheless, these initiatives and concerted efforts possess the potential to mitigate the detrimental impacts posed by climate change and climatic variability. This manuscript is an extract from my master of science degree in climate-smart agriculture from Haramaya University titled ‘Climate-Smart Practices: Effects of Agroforestry and Conservation Agriculture on Selected Physicochemical Properties of Soils and Crop Productivity among Smallholder Farmers, in Nyimba, Zambia.’ Please refer to this link; http://ir.haramaya.edu.et/hru/bitstream/handle/123456789/6402/PETROS%20CHAVULA.pdf?isAllowed=y&sequence=1
影响赞比亚宁巴区小农采用气候智能型农业措施和作物生产力的因素
背景 气候变化对环境、经济和社会的深刻影响预计将对小农产生重大影响,而小农的生计和传统生活方式与自然环境密不可分。本综合研究深入探讨了影响赞比亚尼因巴县小规模农业社区采用气候智能型农业实践的多方面因素及其对作物生产力的后续影响。方法 该研究于 2022 年 6 月至 7 月间收集了尼因巴区 4 个农业营地 12 个村庄 194 户小农家庭的数据。利用逻辑回归模型评估了影响作物产量的因素,以及为应对研究地区的气候变化和变异性而采用气候智能型农业实践的情况。此外,通过比较采用气候智能型农业的家庭和未采用气候智能型农业的家庭,对采用气候智能型农业的影响进行了倾向得分匹配评估。结果 对数回归模型的研究结果表明,有几个因素会影响小农家庭采用气候智能型农业技术和作物生产率。这些因素包括农民的受教育程度、家庭规模、化肥使用情况、户主的年龄和性别、务农时间、牲畜拥有状况、家庭年收入、农田面积、户主的婚姻状况以及获得气候相关信息的渠道。此外,倾向得分匹配分析显示,采用气候智能型农业措施的小农的作物产量比未采用者高出 20.20%。此外,分析还显示,在研究地区实施这些做法后,采用者家庭的玉米产量比未采用者家庭的玉米产量提高了 21.50%。结论 本研究的结果为政策制定者提供了宝贵的见解,指导他们加强农民的气候变化适应战略并制定相关政策。尽管如此,这些举措和共同努力仍有可能减轻气候变化和气候多变性带来的不利影响。本手稿摘自我在哈拉马亚大学(Haramaya University)获得的气候智能型农业理学硕士学位,题为 "气候智能型实践:农林业和保护性农业对赞比亚尼因巴小农户的部分土壤理化性质和作物生产力的影响》。请参阅此链接;http://ir.haramaya.edu.et/hru/bitstream/handle/123456789/6402/PETROS%20CHAVULA.pdf?isAllowed=y&sequence=1
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信