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Table 6 Results of the binary logistic regression analysis of factors affecting future adaptation strategies

From: Adapting to the impacts of climate change in the sub-humid zone of Burkina Faso, West Africa: Perceptions of agro-pastoralists

Predictors Β SE β Wald’s χ 2 df p Eβ (odds ratio)
Making hay       
 Constant 3.444 1.163 8.775 1 0.003 31.312
 Sheep herd size 0.045 0.016 7.587 1 0.006 1.046
 Goat herd size −0.090 0.019 21.957 1 0.000 0.914
 Test    χ 2 df p  
 Overall model evaluation    35.213 7 0.000  
 Goodness of fita    8.903 8 0.351  
Concentrated livestock feed       
 Constant −3.067 1.570 3.814 1 0.051 0.047
 Cattle herd size −0.082 0.029 7.749 1 0.005 0.921
 Test    χ 2 df p  
 Overall model evaluation    38.993 7 0.000  
 Goodness of fita    5.413 8 0.713  
Transhumance       
 Constant −0.468 1.374 0.116 1 0.733 0.626
 Household size 0.081 0.028 8.142 1 0.004 1.084
 Cattle herd size 0.022 0.009 5.561 1 0.018 0.978
 Test    χ 2 df p  
 Overall model evaluation    57.061 7 0.000  
 Goodness of fita    9.598 8 0.294  
Destocking       
 Constant −1.555 0.986 2.489 1 0.115 0.211
 Cattle herd size 0.025 0.009 8.083 1 0.004 1.026
 Test    χ 2 df p  
 Overall model evaluation    19.186 7 0.008  
 Goodness of fita    10.166 8 0.254  
Off-farm activities       
 Constant 1.401 1.336 1.100 1 0.294 4.061
 Age of household head 0.055 0.018 9.355 1 0.002 1.057
 Household size −0.040 0.016 6.072 1 0.014 0.961
 Cattle number 0.036 0.014 6.543 1 0.011 1.036
 Test    χ 2 df p  
 Overall model evaluation    48.242 7 0.000  
 Goodness of fita    5.221 8 0.734  
  1. aHosmer and Lemeshow goodness-of-fit test (Archer and Lemeshow 2006)