Determinants of the Use of Hermetic Storage Bags for Maize Storage among Smallholder Farmers in Northwest Ethiopia
Table 6
The maximum likelihood estimates of the binary logistic regression model.
Variables
B
S.E.
Wald
Sig.
Exp. (B)
95% C.I. for Exp. (B)
Lower
Upper
Sex
2.439
0.913
7.134
0.008
0.087
0.015
0.522
Age
−0.068
0.058
1.383
0.24
0.935
0.835
1.046
Education level
1.595
0.479
11.109
0.001
4.928
1.929
12.59
Farm exp
0.018
0.06
0.087
0.769
1.018
0.904
1.146
Social responsibility
2.296
0.561
16.745
0.000
9.931
3.307
29.822
Land size
−0.311
0.334
0.865
0.352
0.733
0.381
1.41
Total income
0.015
0.026
4.548
0.033
1.015
0.807
1.138
Credit access
0.644
0.533
1.462
0.227
1.904
0.671
5.407
Extension contact
0.463
0.409
1.28
0.258
0.629
0.282
1.403
PICS training
2.629
0.729
13.014
0.000
13.854
3.322
57.784
Chemical effect
1.236
0.458
7.291
0.007
3.441
1.403
8.44
Awareness PICS
3.307
0.805
16.882
0.000
27.308
5.638
132.259
PICS access
3.131
0.726
18.603
0.000
22.887
5.518
94.931
PICS price
−2.054
0.822
6.24
0.012
7.796
1.556
39.049
Maize stored
0.013
0.023
0.325
0.569
1.013
0.968
1.06
Constant
−3.706
1.939
3.653
0.05
0.025
Pearson chi-square: 395.812, −2 log likelihood: 142.029, overall prediction of the model 1: 94.85, sensitivity 2: 95.8, specificity 3: 93.9, sample size: 392 households, and indicate significance at 1% and 5% level respectively. 1: the success of prediction of the model based on a 50% probability classification table. 2: correctly predicted households that use PICS bags on a 50% probability classification. 3: correctly predicted households that did not use PICS bags based on 0.5 cut point probability table, source: binary logit model output.