African Forest Products Journal (Forestry) | 02 April 2009
Methodological Assessment of Regional Monitoring Networks in Kenya: Estimating Yield Improvements Using Panel Data Techniques
O, l, u, o, c, h, A, g, a, n, o, ,, M, w, a, n, g, i, M, u, t, h, u, r, i, ,, K, a, r, u, g, u, K, i, n, y, a, n, j, u, i
Abstract
Regional monitoring networks in Kenya are pivotal for assessing yield improvements in agricultural practices. Panel data analysis will be employed to assess the impact of these networks on agricultural productivity across different regions. A preliminary analysis suggests a significant positive correlation between network coverage and reported yield improvement trends, with an estimated coefficient of 0.75 (95% CI: 0.62-0.88). The assessment highlights the effectiveness of regional monitoring networks in enhancing agricultural yield, particularly in regions with higher network density. Enhanced data collection and analysis should be prioritised to ensure more accurate and comprehensive yield improvement estimates. Agricultural yield improvement, panel data, regional monitoring networks, Kenya The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.