Research Article

Factors Influencing Household Livelihood Diversification: The Case of Kebri Dahar District, Korahey Zone of Somali Region, Ethiopia

Table 7

Factors influencing livelihood diversification in terms of (on-farm, off-farm, and nonfarm activity).

Result of a multinomial logistic regression
CovariatesOn-farmOff-farmNonfarm
BStd. errorSigExp (B)BStd. errorSigExp (B)BStd. errorSigExp (B)

Intercept5.4322.2990.0183.1652.5700.2186.2152.4970.013
Sex2.7750.4850.00016.0372.4870.5490.00012.0211.5280.5130.0034.610
Age−0.0620.0200.0020.940−0.1160.0230.0000.890−0.0810.0220.0000.922
Education−1.1820.3030.0000.307−0.2440.2950.4080.7840.0680.2690.8011.070
Dependent ration0.0090.1790.9611.0090.3180.2000.1111.3750.6000.1900.0021.822
TLU0.0410.0130.0021.0420.0690.0140.0001.0710.0170.0150.2661.017
Market distance−0.1020.1770.5640.903−0.0120.1960.9500.988−0.4360.1910.0220.647
Transportation0.0600.2220.7881.062−0.5020.3030.0970.6050.1730.2480.4851.189
Saving−1.0370.5480.0590.355−0.1770.6330.7800.838−1.4080.5900.0170.245
Credit−0.4580.7090.5190.633−0.7720.7330.2920.462−2.3160.6680.0010.099
Cooperative0.6830.4940.1661.980−0.7530.5590.1780.4711.0960.5600.0502.992
Productive safety net. P−0.3660.4720.4380.6941.0940.5690.0552.9870.3880.5190.4541.474

Number of obs = 119, LR chi2 (77) = 242.28, prob > chi2 = 0.0000 logarithmic likelihood = −87.826054 pseudo R2 = 0.5797, , and significant level at 10%, 5%, and 1%, respectively. Source: own survey result (2022).