Impact of adopting the climate-smart crop varieties on food security in southwestern Ethiopia

Dubale Abate, Henok Tesfaye, Metadel Kassaw, Yonnas Addis, Habtamu Mossie
{"title":"Impact of adopting the climate-smart crop varieties on food security in southwestern Ethiopia","authors":"Dubale Abate, Henok Tesfaye, Metadel Kassaw, Yonnas Addis, Habtamu Mossie","doi":"10.1080/20421338.2022.2157787","DOIUrl":null,"url":null,"abstract":"Climate-smart crop varieties (CSV) are vital in improving food security by enhancing productivity while reducing problems of climate change. However, there is a low adoption of these varieties by the farmers in the study area due to lack of awareness of their impact on food security. Therefore, this study was designed to analyze their impact on food security in southwestern Ethiopia. The data were collected from 385 randomly selected sample households using a semi-structured questionnaire. Both descriptive and econometric analyses were used to analyze the data. The propensity score matching (PSM) model was used to evaluate the impact of climate-smart crop varieties on food security. Descriptive analysis showed that about 59.74% of the respondents were adopters of climate-smart crop varieties. The PSM analysis result revealed that the adoption of climate-smart crop varieties had a significant positive impact on food security. This implies that the likelihood of being food secure would increase by a factor of 0.8 if the climate-smart crop varieties were adopted. Therefore, developing and disseminating the climate-smart crop varieties at the right time through educational improvement (strengthening collaboration) and allocating land for their development is suggested for policymakers to improve food security.","PeriodicalId":7557,"journal":{"name":"African Journal of Science, Technology, Innovation and Development","volume":"13 1","pages":"590 - 598"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"African Journal of Science, Technology, Innovation and Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/20421338.2022.2157787","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

Climate-smart crop varieties (CSV) are vital in improving food security by enhancing productivity while reducing problems of climate change. However, there is a low adoption of these varieties by the farmers in the study area due to lack of awareness of their impact on food security. Therefore, this study was designed to analyze their impact on food security in southwestern Ethiopia. The data were collected from 385 randomly selected sample households using a semi-structured questionnaire. Both descriptive and econometric analyses were used to analyze the data. The propensity score matching (PSM) model was used to evaluate the impact of climate-smart crop varieties on food security. Descriptive analysis showed that about 59.74% of the respondents were adopters of climate-smart crop varieties. The PSM analysis result revealed that the adoption of climate-smart crop varieties had a significant positive impact on food security. This implies that the likelihood of being food secure would increase by a factor of 0.8 if the climate-smart crop varieties were adopted. Therefore, developing and disseminating the climate-smart crop varieties at the right time through educational improvement (strengthening collaboration) and allocating land for their development is suggested for policymakers to improve food security.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
采用气候智能型作物品种对埃塞俄比亚西南部粮食安全的影响
气候智能型作物品种(CSV)对于通过提高生产力和减少气候变化问题来改善粮食安全至关重要。然而,由于缺乏对这些品种对粮食安全影响的认识,研究地区的农民对这些品种的采用率很低。因此,本研究旨在分析它们对埃塞俄比亚西南部粮食安全的影响。采用半结构化问卷,随机抽取385户家庭进行调查。采用描述性和计量经济学两种分析方法对数据进行分析。采用倾向得分匹配(PSM)模型评价了气候智能型作物品种对粮食安全的影响。描述性分析显示,约59.74%的受访者采用气候智能型作物品种。PSM分析结果表明,采用气候智能型作物品种对粮食安全具有显著的积极影响。这意味着,如果采用气候智能型作物品种,粮食安全的可能性将增加0.8倍。因此,建议决策者通过改善教育(加强合作)和分配土地用于发展气候智能型作物品种,适时开发和推广气候智能型作物品种,以改善粮食安全。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Leveraging Global Value Chains for innovation and industrialization in Africa Implementing open innovation in a closed biopharmaceutical industry The democratization of digital currency in Nigeria: A sentiment analysis of eNaira app usability The impact of innovation on formalization and job creation of informal SMEs in Cameroon: Evidence from the World Bank Enterprise Survey Innovation research in and on Africa: A literature analysis in 2015–2021
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1