• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

肯尼亚西南部延多盆地农民的风险态度、生计多样化与气候智能型农业技术的采用之间的关联

Linking farmers' risk attitudes, livelihood diversification and adoption of climate smart agriculture technologies in the Nyando basin, South-Western Kenya.

作者信息

Musyoki Mumo Elijah, Busienei John Ronoh, Gathiaka John Kamau, Karuku George Njomo

机构信息

Department of Agricultural Economics, College of Agriculture and Veterinary Sciences, University of Nairobi, Kenya.

School of Economics, University of Nairobi, Kenya.

出版信息

Heliyon. 2022 Apr 19;8(4):e09305. doi: 10.1016/j.heliyon.2022.e09305. eCollection 2022 Apr.

DOI:10.1016/j.heliyon.2022.e09305
PMID:35497023
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9039830/
Abstract

Climate smart agriculture (CSA) technologies are innovations meant to reduce the risks in agricultural production among smallholder farmers. Among the factors that influence farmer adoption of agricultural technologies are farmers' risk attitudes and household livelihood diversification. This study, focused on determining how farmers' risk attitudes and household livelihood diversification influenced the adoption of CSA technologies in the Nyando basin. The study utilized primary data from 122 households from two administrative regions of Kisumu and Kericho counties in Kenya. The study employed the multivariate probit (MVP) and ordered probit (OP) models and descriptive statistics in data analysis using Stata 14.0. Results from the study indicated that farmers' risk attitudes had a significant negative influence in the adoption of terraces, ridges and bunds as well as the intensity of adoption of given CSA technologies. Household livelihood diversification had a significant negative influence in the adoption of stress tolerant livestock but did not have a significant effect on the intensity of adoption of given CSA technologies. The study recommends that relevant stakeholders should introduce an appropriate agricultural index insurance product to Nyando basin farmers to encourage the broader adoption of CSA technologies.

摘要

气候智能型农业(CSA)技术是旨在降低小农户农业生产风险的创新技术。影响农民采用农业技术的因素包括农民的风险态度和家庭生计多样化。本研究重点在于确定农民的风险态度和家庭生计多样化如何影响尼扬多盆地对CSA技术的采用。该研究利用了来自肯尼亚基苏木县和克里乔县两个行政区122户家庭的原始数据。研究在使用Stata 14.0进行数据分析时采用了多元概率单位(MVP)模型和有序概率单位(OP)模型以及描述性统计方法。研究结果表明,农民的风险态度对梯田、田埂和堤坝的采用以及特定CSA技术的采用强度具有显著的负面影响。家庭生计多样化对耐压力牲畜的采用具有显著的负面影响,但对特定CSA技术的采用强度没有显著影响。该研究建议,相关利益攸关方应向尼扬多盆地的农民推出合适的农业指数保险产品,以鼓励更广泛地采用CSA技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d21/9039830/fcab12207e8e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d21/9039830/fcab12207e8e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d21/9039830/fcab12207e8e/gr1.jpg

相似文献

1
Linking farmers' risk attitudes, livelihood diversification and adoption of climate smart agriculture technologies in the Nyando basin, South-Western Kenya.肯尼亚西南部延多盆地农民的风险态度、生计多样化与气候智能型农业技术的采用之间的关联
Heliyon. 2022 Apr 19;8(4):e09305. doi: 10.1016/j.heliyon.2022.e09305. eCollection 2022 Apr.
2
Analysis of household savings and adoption of climate smart agricultural technologies. Evidence from smallholder farmers in Nyando Basin, Kenya.家庭储蓄与气候智能型农业技术采用情况分析。来自肯尼亚尼扬多盆地小农户的证据。
Heliyon. 2022 Jun 9;8(6):e09692. doi: 10.1016/j.heliyon.2022.e09692. eCollection 2022 Jun.
3
Adoption of climate-smart agricultural practices among smallholder farmers in Western Kenya: do socioeconomic, institutional, and biophysical factors matter?肯尼亚西部小农户采用气候智能型农业实践:社会经济、制度和生物物理因素重要吗?
Heliyon. 2021 Dec 25;8(1):e08677. doi: 10.1016/j.heliyon.2021.e08677. eCollection 2022 Jan.
4
The Determinants of Adoption and Intensity of Climate-Smart Agricultural Practices among Smallholder Maize Farmers.小农户玉米种植户采用气候智能型农业实践的决定因素及强度
Sustainability. 2022 Dec 16;14(24):16926. doi: 10.3390/su142416926.
5
Does the Adoption of Climate-Smart Agricultural Practices Impact Farmers' Income? Evidence from Ghana.采用气候智能型农业实践是否会影响农民收入?来自加纳的证据。
Int J Environ Res Public Health. 2022 Mar 23;19(7):3804. doi: 10.3390/ijerph19073804.
6
Determinants of adoption of climate smart agricultural practices among farmers in Bale-Eco region, Ethiopia.埃塞俄比亚巴勒生态地区农民采用气候智能型农业实践的决定因素
Heliyon. 2022 Jun 30;8(7):e09824. doi: 10.1016/j.heliyon.2022.e09824. eCollection 2022 Jul.
7
Smallholder farmers' perception of climate change and adoption of climate smart agriculture practices in Masaba South Sub-county, Kisii, Kenya.肯尼亚基苏木马萨巴南县小农户对气候变化的认知及对气候智能型农业实践的采用情况
Heliyon. 2021 Apr 21;7(4):e06789. doi: 10.1016/j.heliyon.2021.e06789. eCollection 2021 Apr.
8
Assessing actors in rural markets of sheep and goats in the Nyando Basin of Western Kenya: a key to improving productivity from smallholder farms.评估肯尼亚西部尼扬多盆地农村绵羊和山羊市场中的参与者:提高小农户农场生产力的关键。
Trop Anim Health Prod. 2018 Dec;50(8):1871-1879. doi: 10.1007/s11250-018-1638-z. Epub 2018 Jun 18.
9
Interventions promoting resilience through climate smart agricultural practices for women farmers: A systematic review.通过气候智能型农业实践促进女农民恢复力的干预措施:一项系统综述。
Campbell Syst Rev. 2024 Aug 27;20(3):e1426. doi: 10.1002/cl2.1426. eCollection 2024 Sep.
10
Quantifying the determinants of climate change adaptation strategies and farmers' access to credit in South Africa.量化气候变化适应策略的决定因素和南非农民获得信贷的情况。
Sci Total Environ. 2021 Oct 20;792:148499. doi: 10.1016/j.scitotenv.2021.148499. Epub 2021 Jun 18.

引用本文的文献

1
An ensemble deep learning approach for predicting cocoa yield.一种用于预测可可产量的集成深度学习方法。
Heliyon. 2023 Apr 5;9(4):e15245. doi: 10.1016/j.heliyon.2023.e15245. eCollection 2023 Apr.

本文引用的文献

1
The risk elicitation puzzle revisited: Across-methods (in)consistency?再探风险引出难题:跨方法的(不)一致性?
Exp Econ. 2021;24(2):593-616. doi: 10.1007/s10683-020-09674-8. Epub 2020 Sep 12.
2
Farmers' Risk Preferences in Rural China: Measurements and Determinants.中国农村地区农民的风险偏好:测量与决定因素
Int J Environ Res Public Health. 2017 Jun 30;14(7):713. doi: 10.3390/ijerph14070713.