Research Article

Role of Forest Resources to Local Livelihoods: The Case of East Mau Forest Ecosystem, Kenya

Table 5

Absolute forest income, relative forest income (%) by study location, wealth status, and ethnicity.

VariableAbsolute forest income (KES)Relative forest income (%)

Location
 Kapsimbeiywo47,662.10 ± 6,236.8128.85 ± 3.70
 Silibwet63,427.11 ± 6,470.6430.71 ± 3.34
 Kapkembu65,217.56 ± 4,801.0332.89 ± 2.18
 Nessuit66,579.73 ± 3,762.3736.46 ± 1.84
 Mariashoni71,641.51 ± 4,711.5733.42 ± 2.40
Overall mean65,836.28 ± 2,232.0633.73 ± 1.10
( = 1.76, ) ( = 1.18, )
Wealth status
 Poor46,275.90 ± 2,822.4041.40 ± 2.13
 Moderate 67,277.30 ± 3,932.4035.60 ± 2.03
 Rich81,463.80 ± 3,797.7026.30 ± 1.30
( = 23.87, )( = 18.35, )
Ethnicity
 Indigenous63,536.12 ± 3,961.2231.93 ± 1.75
 Nonindigenous62,658.47 ± 2,196.5433.15 ± 1.25
( = 0.74, ) ( = 0.307, )

Note. Means (column) with a common (letters) superscript imply the mean difference is not significant different at % level.