Skip to main content

Table 6 Conditional logit model results

From: Japanese consumer preferences for additive-free wine labeling

Variable

Estimated value

t value

Price of WTP (JPY)

ASC (alternate-specific constants)

1.700

14.534

***

1641.423

Antioxidant additive-free label dummy (M)

0.447

1.261

 

431.794

 

Antioxidant-free label (M) × awareness of dangers of food additives (T) = (M*T)

0.651

3.202

***

628.339

 

Antioxidant-free label (M) × knowledge of wine (W) = (M*W)

−0.676

−3.227

***

−652.969

 

Antioxidant-free label (M) × knowledge of food processing (S) = (M*S)

−0.641

−3.187

***

−619.041

 

Antioxidant-free label (M) × conformity with others (D) = (M*D)

0.417

2.073

**

402.682

 

Antioxidant-free label (M) × low need for cognition (N) = (M*N)

−0.311

−1.533

 

−300.442

Organic label dummy (Y)

0.049

0.163

 

47.536

 

Organic label (Y) × awareness of dangers of food additives (T) = (Y*T)

0.251

1.288

 

242.141

 

Organic label (Y) × knowledge of wine (W) = (Y*W)

−0.479

−2.347

**

−462.577

 

Organic label (Y) × knowledge of food processing (S) = (Y*S)

0.060

0.310

 

57.821

 

Organic label (Y) × conformity with others (D) = (Y*D)

−0.020

−0.103

 

−19.186

 

Organic label (Y) × low need for cognition (N) = (Y*N)

−0.181

−0.933

 

−174.414

Product of France label dummy (F)

−1.119

−3.241

***

−1080.328

 

Product of France label (F) × awareness of dangers of food additives (T) = (F*T)

−0.505

−2.579

***

−487.365

 

Product of France label (F) × knowledge of wine (W) = (F*W)

0.768

3.773

***

742.061

 

Product of France label (F) × knowledge of food processing (S) = (F × S)

0.267

1.363

 

258.135

 

Product of France label (F) × conformity with others (D) = (F*D)

0.450

2.296

**

434.310

 

Product of France label (F) × low need for cognition (N) = (F*N)

0.065

0.332

 

62.956

Product of Chile label dummy (C)

−0.626

−2.311

**

−604.828

 

Product of Chile label (C) × awareness of dangers of food additives (T) = (C*T)

−0.516

−2.563

**

−497.957

 

Product of Chile label (C) × knowledge of wine (W) = (C*W)

0.563

2.791

***

543.592

 

Product of Chile label (C) × knowledge of food processing (S) = (C*S)

−0.023

−0.111

 

−21.861

 

Product of Chile label (C) × conformity with others (D) = (C*D)

−0.684

−3.359

***

−660.198

 

Product of Chile label (C) × low need for cognition (N) = (C*N)

0.294

1.456

 

284.047

Female dummy (J) × antioxidant-free label (M) = (J*M)

0.630

3.212

***

608.835

Female dummy (J) × product of France label (F) = (J*F)

−0.324

−1.726

*

−312.894

Age (A) × antioxidant-free label (M) = (A*M)

0.016

0.202

 

15.763

Age (A) × organic label (Y) = (A*Y)

0.129

1.773

*

124.984

Age (A) × product of France label (F) = (A*F)

−0.098

−1.266

 

−94.689

Annual income (I) × antioxidant-free label (M) = (I*M)

−0.040

−1.254

 

−39.063

Annual income (I) × product of France label (F) = (I*F)

0.063

2.055

**

60.811

Price (P)

−0.001

−13.991

***

 

Number of samples

2232

Log likelihood

−1257.492

McFadden’s R square

0.155

  1. Note: *p < 0.1; **p < 0.05; ***p < 0.01