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Research, Policy and Practice

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

Î’

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)