Household socio-economic factors influencing choice of agro-advisory dissemination pathways for climate change in semi-arid areas of Kenya

Author:

Onyango Debrah Akeyo1ORCID,Mogaka Hezron Rasugu1,Ndirangu Samuel Njiri1,Kwena Kizito2

Affiliation:

1. University of Embu

2. Kenya Agricultural Research and Livestock Research Organization (KALRO)

Abstract

Development in Sub-Saharan Africa (SSA) is adversely affected by climate variability and change due to the dependence of its economies and livelihoods primarily on rain-fed agriculture. Agro-advisories boost informed decision-making as well as planning of farm activities. The purpose of this study was to characterize the pathways through which farmers receive usable location-specific agro-advisories as well as to evaluate the effect of the socio-economic environment in the access to such information. Data was collected from 400 randomly selected households in lower eastern Kenya in a cross-sectional survey. Multivariate probit regression was used to determine the factors influencing the choice of pathways used in accessing climate change adaptation information. Household socio-economic characteristics that were found to be significant in explaining access to disseminated agro-advisories include phone and radio ownership, level of education, marital status, and farm size among others. Based on these findings a conclusion is made that the socio-economic environment within which information is disseminated is vital in determining those who access information and probably act on it. Additionally, pathways found to be complementary or substitutable give information providers new insights on the channels to use in information dissemination. The study recommends that these factors be considered in efforts geared towards promoting agro-advisory preparation and dissemination to improve adaptation to climate variability and change in dryland areas.

Publisher

SAGE Publications

Subject

Library and Information Sciences

Reference46 articles.

1. Balangaliza BF (2014) Uptake of technology and competitiveness of legume production in small scale farming in south Kivu, Democratic Republic of Congo. Unpublished Master of Science Thesis, Department of Agriculture and Enterprise Development, Kenyatta University, Nairobi, Kenya.

2. Understanding the Influence of Climate Forecasts on Farmer Decisions as Planned Behavior*

3. Belsley DA, Kuh E, Welseh RE (2005) Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. (Vol. 571). John Wiley and Sons.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3