Field research stations play a crucial role in agricultural development by conducting experiments and providing data for policy-making and technology dissemination. Panel data analysis was employed to assess the impact of resource allocation and operational efficiency on the cost-effectiveness of these stations. The model is estimated as: Y₈ₓ = eta₀ + eta₁X₈ₓ + uᵢ + vₜ where Y represents cost-efficiency, X includes variables such as research output and station size, and uᵢ and vₜ account for unobserved heterogeneity and time effects respectively. The analysis revealed that stations with larger operational budgets had a 15% higher likelihood of achieving cost-effectiveness (95% CI: 10%, 20%). This study provides empirical evidence on the optimal resource allocation for enhancing the efficiency and effectiveness of field research stations in Kenya. Investment strategies should prioritise stations with proven operational efficiencies and higher output potential to maximise cost-effectiveness.
Kiunjuri et al. (Fri,) studied this question.