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.

Determinants	Categories	Reference category	𝛽	S.e (β).	Odds ratio	𝑃 value
	Kiambu-Lari	Nyeri North	−0.66	0.37	0.5	0.076
Site	Kiambu-Kikuyu		−0.85	0.42	0.4	0.043
	Nyeri South		−0.88	0.38	0.4	0.020
Gender	Male	Female	0.56	0.37	1. 8	0.125
Household members	—	—	0.04	0.05	1.8	0.477
Monthly income	—	—	0.00	0.00	1	0.004
Land size	—	—	0.36	0.07	1.4	0.000
Marital status	Single	Married	0.48	0.55	1.6	0.380
Major occupation	Formal job	Full time farmer	−0.81	0.44	0.5	0.064
	None	Post secondary	−1.55	0.61	0.2	0.011
Education	Primary		−0.74	0.48	0.5	0.120
	Secondary		−1.06	0.48	0.3	0.028
Age	—	—	0.001	0.01	1.0	0.927
Tree use	Fuel wood	Aesthetic	−0.55	0.47	0.6	0.243
	Timber		−0.16	0.49	0.8	0.533
Tree Motivation	Conserve environment	Source of livelihood	0.420	0.330	1.5	0.203
Technical skills	Obtained technical skills	Did not obtain skills	0.802	0.421	2.2	0.057
Effect of skills	Skills were useful	Skills not useful	1.105	0.585	3.0	0.059
Labour and cost	Intensive	Not intensive	0.697	0.362	2.0	0.054
Extension services	Received extension services	Did not receive extension services	1.329	0.815	3.8	0.103
Harvesting permission	Sought harvesting permission	Did not seek permission	0.640	0.317	1.9	0.043
Harvesting regulation	Harvesting regulation important	Harvesting regulation not important	0.399	0.327	1.5	0.223
Forest associations	Existence of forest associations	No existence of forest association	−0.071	0.325	0.9	0.828
Membership	Member of forest association	Not a member	−0.145	0.377	0.9	0.701
Ready market	Ready market access	No ready market access	0.471	0.401	1.6	0.241
Marketing problems	Existence of marketing problems	No marketing problems	0.579	0.413	1.8	0.160