Does the inverse farm size productivity hypothesis hold for perennial monocrop systems in developing countries? Evidence from Kenya

Abstract

This study investigates the driving factors that influence farmers’ decisions to adopt modern agricultural inputs (MAI) and how this affects farm household welfare in rural Rwanda. To account for heterogeneity in the MAI adoption decision and unobservable farm and household attributes, we estimate an endogenous switching regression (ESR) model. The findings reveal that size of land endowment, access to farm credit and awareness of farm advisory services are the main driving forces behind MAI adoption. The analysis further shows that MAI adoption increases household farm income, farm yield and equivalised consumption per capita. This implies that adopting MAI is the most consistent and potentially best pathway to reduce poverty among rural farmers. The study hence suggests that policymakers should align the effective dissemination of MAI information and farm advisory services, strengthen farm credit systems and improve market access – most crucially at affordable prices – among small-farmers throughout Rwanda.

Analysis of Quality Cycles on Performance of Tea Processing Firms in Kenya

“…Deming's theorem of Total Quality Management settles upon 14 items of factual information in an organization, following The Plan, Do, Check and Act. Quality is identical to expected outcomes of task tries to the aggregated costs [14]. Deming's game plan of noteworthy data involves the System Appreciation an understanding of the process of monitoring quality [15].…”