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International Journal of Corporate Social Responsibility

Table 13 Logistic regression model. Source: Authors' own calculation

From: Sustainable coffee supply chain management: a case study in Buon Me Thuot City, Daklak, Vietnam

Model Summary

Step

-2 Log likelihood

Cox & Snell R Square

Nagelkerke R Square

1

72.263a

.576

.768

Classification tableb

 

Observed

Predicted

Certification ownership

Percentage correct

NO

YES

Step 1

Certification ownership

No

62

9

87.3

Yes

6

60

90.9

Overall Percentage

  

89.1

Variables in the Equation

  

B

S.E.

Wald

df

Sig.

Exp(B)

Step 1c

PRODUCTIVITY

2.015

.450

20.064

1

.000

7.502

LOCALSUPPORT

1.300

.374

12.069

1

.001

3.668

EXPERIENCE

.934

.378

6.110

1

.013

2.544

Constant

−10.711

1.857

33.270

1

.000

.000

  1. aEstimation terminated at iteration number 7 because parameter estimates changed by less than .001
  2. bThe cut value is .500
  3. cVariable(s) entered on step 1: PRODUCTIVITY, LOCALSUPPORT, and EXPERIENCE
  4. Because of the Sig of the variable data are less than 0.05 so we can deny the hypothesis that βproductivity = βlocal support = βexperience = 0 that means they have the statistical meaning
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