International Scholarly Research Notices / 2012 / Article / Tab 6

Research Article

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

Table 6

Likelihood ratio tests and model classification of tree retention determinants using binary and multinomial logistic regression.

Determinants−2log likelihoodd.f value% Model classification
*Logt *MultLogisticMultinomial Logistic MultinomialLogisticMultinomial

Site28145.1360.050.045950
Gender HH*27324.8120.120.035551
Occupation27520.6120.060.165550
Age26223811260.930.065267
Education26740.0360.040.145852
Marital status27918.7120.380.325351
NMH*27585120.470.475352
Income2201681800.000.006053
Land tenure27643.92100.760.155251
Land size231130160.000.006868
Tree use24027.3240.350.535548
Motivation22527.5120.200.015652
Technical skills26221.1120.050.135649
Skill effect71.816.6120.050.146666
Labour and cost23225.8120.050.015750
Extension services26318.8120.070.065350
Harvest permission22923.9120.040.055850
Harvesting regulation 20825120.220.025550
Forest associations23422.1120.830.115150
Membership25318.1120.700.795149
Ready market19519.8120.240.225551
Marketing problems20321.7120.160.075550

Logt: Logistic regression values; *Mult: multinomial logistic regression values; HH*: household head; NMH*: number of members in the household.