From: Low potato yields in Kenya: do conventional input innovations account for the yields disparity?
Variable | Mean value/percent | SD | Min | Max |
---|---|---|---|---|
Adoption of clean seeds | 0.0447761 | 0.20707 | 0 | 1 |
Proper fertilizer use | 0.181592 | 0.385988 | 0 | 1 |
Use of fungicides | 0.9179104 | 0.274843 | 0 | 1 |
Age (young = less than 40 yrs, old = above 40 yrs) | 0.2835821 | 0.451298 | 0 | 1 |
Gender (18.41% female) | 0.1840796 | 0.388032 | 0 | 1 |
Education (None & Primary =0, Secondary, Post-secondary=1) | 0.4825871 | 0.500319 | 0 | 1 |
Size of land | 4.457916 | 5.873537 | 0 | 60 |
Employment status (Employeed=1) | 0.0895522 | 0.285895 | 0 | 1 |
Irrigation | 0.2338308 | 0.423793 | 0 | 1 |
Number of cows | 2.375622 | 2.413739 | 0 | 20 |
Region (Eastern=1) | 0.2985075 | 0.458174 | 0 | 1 |
Visited (Visited=1) | 0.5472637 | 0.498381 | 0 | 1 |
Ownership of media equipment | 0.920398 | 0.271013 | 0 | 1 |
Member of farmers group | 0.3109453 | 0.463457 | 0 | 1 |