Open AccessFactors Influencing Adoption of Pigeon Pea and its Impact on Household Food Security in Machakos County, Kenya
Author(s) -
Rosemary Emongor,
F. M. Matiri,
Adiel M. Magana,
J. Wamaitha,
A. M. Daniel,
J. Mulindo
Publication year - 2022
Publication title -
asian journal of agricultural extension, economics and sociology
Language(s) - English
Resource type - Journals
ISSN - 2320-7027
DOI - 10.9734/ajaees/2022/v40i430867
Subject(s) - cajanus , descriptive statistics , food security , statistical software , logistic regression , agricultural science , socioeconomics , business , geography , agricultural economics , marketing , agriculture , economics , biology , statistics , mathematics , agronomy , archaeology
A household survey was carried out in Kalama, Mwala and Yatta Sub-counties of Machakos County Kenya to obtain data on the current situation of pigeon pea value chain. A total of 414 households were interviewed in the month of October 2020. Data was analysed using descriptive statistics, Logit Model to determine factors that influence adoption of pigeon pea (Cajanus cajan L) using Statistical Package for Social Scientists (SPSS) version 20 Software. The HFIAS model was used to determine the impact of adoption of Pigeon Pea on household food security. The results of the descriptive statistics showed that there was low adoption of the Pigeon pea technologies and this implies that more needs to be done in creating awareness of the improved Pigeon pea varieties. The Logistic model results showed two factors that significantly influence adoption of Pigeon pea varieties by farmers. These were membership to a community group and access to credit. More needs to be done to increase adoption of the new/improved varieties in Machakos County, Kenya.