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

Table 8

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

Explanatory variable	Most likely/not likely				Less likely/not likely
	𝛽	S.e (𝛽).	𝑃 value	Odds ratio	𝛽	S.e (𝛽).	𝑃 value	Odds ratio
Intercept	1.41	0.32	—	—	0.41	0.37	—	—
Site
Lari	−0.51	0.51	0.315	0.6	0.23	0.56	0.678	1.3
Kikuyu	−1.33	0.50	0.008	0.3	−1.03	0.60	0.087	0.4
Nyeri South	−1.17	0.47	0.013	0.3	−0.55	0.53	0.302	0.6
Gender	1.05	0.42	0.013	2.9	1.03	0.50	0.038	2.8
Intercept	0.00	0.37			−0.63	0.44
Education
None	−1.25	0.72	0.082	0.3	0.64	0.90	0.472	1.9
Primary	−0.46	0.58	0.426	0.6	0.62	0.80	0.439	1.9
Secondary	−0.63	0.59	0.287	0.5	0.89	0.80	0.266	2.4
Intercept	1.39	0.50			−0.511	0.73
Motivation	1.24	0.44	0.005	3.5	1.40	0.49	0.005	4.0
Intercept	0.37	0.31
Labour and cost	1.49	0.58	0.010	4.4	1.30	0.63	0.038	3.7
Intercept	0.42	0.21			−0.20	0.24
Harvesting permission	0.94	0.39	0.017	2.6	0.58	0.44	0.191	1.8
Intercept	0.23	0.28			−0.19	0.31
Harvesting regulation	0.98	0.42	0.019	2.7	1.16	0.48	0.017	3.2
Intercept	0.27	0.26			−0.55	0.32
Marketing problem	1.33	0.66	0.043	3.8	1.23	0.71	0.085	3.4
Intercept	0.51	0.22			−0.13	0.26
Forest association	0.49	0.445	0.267	1.6	0.98	0.48	0.043	2.7
Intercept	0.64	0.27			−0.18	0.27