Farmer’s Perceptions of Agroforestry Practices, Contributions to Rural Household Farm Income, and Their Determinants in Sodo Zuria District, Southern Ethiopia
Table 6
Multiple regression results of the factor that influences the household’s farm income from AFP (N = 173).
Variables
Coef.
Std. error
T
95% confidence interval
Nlvs
7264.128
1526.274
4.71
0.000
4181.769
10218.44
Sex
−6904.221
4636.925
−1.49
0.138
−16062.13
2253.687
Age
−184.7911
406.3304
−0.45
0.650
−987.2922
617.71
Hh size
−4904.566
1812.1
−2.71
0.008
−8483.456
−1325.675
Land size
57406.97
10469
5.48
0.000
36730.74
78083.2
Education
−1383.846
2100.419
−0.66
0.511
−5532.166
2764.474
Accredit
−7454.015
3732.728
−2.00
0.068
−14826.14
−81.89176
Ext service
8184.581
3796.832
2.16
0.033
685.8523
15683.31
Ltenure
18057.6
12406.64
1.46
0.148
−6445.464
42560.67
Accomack
6002.7
3928.626
1.53
0.129
−1756.321
13761.72
Coopasso
−7755.468
4166.386
−1.86
0.075
−15984.06
473.1278
Labor
3457.84
2044.066
1.69
0.093
−579.1834
7494.863
Fm exp
1118.615
480.9569
2.33
0.021
168.7271
2068.503
_cons
−10458.65
18317.36
−0.57
0.569
−46635.36
25718.06
Dependent variable = household’s farm income, n = 173, R2 = 0.755, adj-R2 = 0.7446, and represents less than 1% significance level and represents less than 5% significance level, , root MSE = 23239, and F (13,159): 8.27 (source: model output from own survey, 2021).