International Scholarly Research Notices / 2012 / Article / Tab 7

Research Article

Modelling Determinants of Tree Planting and Retention on Farm for Improvement of Forest Cover in Central Kenya

Table 7

Binary logistic regression model on fitting determinants of farmer’s tree retention on farm in Central Kenya.

DeterminantsCategoriesReference category S.e (β).Odds ratio value

Kiambu-LariNyeri North−0.660.370.50.076
SiteKiambu-Kikuyu−0.850.420.40.043
Nyeri South−0.880.380.40.020
GenderMaleFemale0.560.371. 80.125
Household members0.040.051.80.477
Monthly income0.000.0010.004
Land size0.360.071.40.000
Marital statusSingleMarried0.480.551.60.380
Major occupationFormal jobFull time farmer−0.810.440.50.064
NonePost secondary−1.550.610.20.011
EducationPrimary−0.740.480.50.120
Secondary−1.060.480.30.028
Age 0.0010.011.00.927
Tree useFuel woodAesthetic−0.550.470.60.243
Timber−0.160.490.80.533
Tree Motivation Conserve environmentSource of livelihood0.4200.3301.50.203
Technical skillsObtained technical skillsDid not obtain skills0.8020.4212.20.057
Effect of skillsSkills were usefulSkills not useful1.1050.5853.00.059
Labour and costIntensiveNot intensive0.6970.3622.00.054
Extension servicesReceived extension servicesDid not receive extension services1.3290.8153.80.103
Harvesting permissionSought harvesting permissionDid not seek permission0.6400.3171.90.043
Harvesting regulation Harvesting regulation importantHarvesting regulation not important0.3990.3271.50.223
Forest associationsExistence of forest associationsNo existence of forest association−0.0710.3250.90.828
MembershipMember of forest associationNot a member−0.1450.3770.90.701
Ready marketReady market accessNo ready market access0.4710.4011.60.241
Marketing problemsExistence of marketing problemsNo marketing problems0.5790.4131.80.160