Skip to main content

The Official Journal of the Pan-Pacific Association of Input-Output Studies (PAPAIOS)

Table 1 The estimated results of standard GSFM and the copulas-based GSFM

From: Trade efficiency under FTA for Thailand’s agricultural exports: copula-based gravity stochastic frontier model

Variable

Standard GSFM

Gaussian copula-based GSFM

Student-t copula-based GSFM

FGM copula-based GSFM

Coefficient

S.E

Coefficient

S.E

Coefficient

S.E

Coefficient

S.E

Rubber

        

Constant

− 0.694

0.096

0.173

1.246

0.458

0.851

0.619

0.520

lnGDPi

0.107***

0.027

1.122***

0.017

1.039***

0.003

0.806***

0.099

lnGDPj

1.829***

0.071

0.870***

0.045

1.898***

0.015

0.654***

0.042

lnPOPi

− 1.802

0.050

− 0.438

0.034

− 2.075

0.035

− 3.265

0.135

lnPOPj

0.674**

0.063

1.667**

0.045

0.817*

0.081

9.953*

0.246

lnDistij

− 8.220

0.215

− 3.029

0.129

− 9.654

0.168

− 13.639

0.164

lnEXi

0.381**

0.015

0.153**

0.008

0.464**

0.036

0.620

0.058

lnEXj

− 2.555

0.011

− 1.330

0.034

− 3.637

0.058

− 2.897

0.440

\({\sigma }_{\mu }\)

0.471***

0.336

0.056***

0.013

0.878*

0.223

0.371**

0.234

\({\sigma }_{\nu }\)

0.299*

0.065

0.836**

0.011

0.199**

0.046

0.169*

0.294

\({\rho }_{1}\)

  

− 0.319

0.098

0.934***

0.053

− 0.990

0.177

\({\rho }_{2}\)

  

0.252**

0.051

0.990***

0.001

− 0.053

0.268

\({\rho }_{3}\)

  

0.720**

0.029

\({\rho }_{4}\)

  

0.410*

0.064

AIC

1526.374

 

1466.382

796.600

1386.497

BIC

1627.396

 

1514.035

852.198

1434.152

Cassava

     

Constant

0.59

0.192

0.101***

0.651

0.615**

0.139

0.627

2.886

lnGDPi

1.23***

0.063

1.752***

0.001

1.188***

0.051

1.232

0.054

lnGDPj

0.03

1.882

0.483***

0.054

0.062**

0.029

− 0.459

1.953

lnPOPi

− 3.32***

0.155

0.415*

0.010

3.172**

0.006

− 3.069

0.141

lnPOPj

8.73

0.184

0.404***

0.022

0.244

0.072

9.137

0.055

lnDistij

− 12.92***

0.627

− 0.945*

0.024

− 12.477

0.030

− 12.117

0.553

lnEXi

0.02

0.043

− 0.784***

0.007

0.023**

0.027

0.031***

0.036

lnEXj

− 2.36***

0.845

− 0.109***

0.112

− 1.782

0.041

− 2.367

0.655

\({\sigma }_{\mu }\)

0.456**

0.195

0.035***

0.005

0.647**

0.033

0.489

0.041

\({\sigma }_{\nu }\)

0.691***

0.013

0.324***

0.016

0.541*

0.077

0.324

0.163

\({\rho }_{1}\)

  

0.568***

0.084

0.653***

0.049

0.990

0.492

\({\rho }_{2}\)

  

− 0.104***

0.068

0.790***

0.001

− 0.084

0.268

\({\rho }_{3}\)

  

0.471*

0.015

\({\rho }_{4}\)

  

0.054*

0.043

AIC

1425.386

1392.558

633.073

1247.293

BIC

1528.394

1440.216

688.671

1294.948

Fruits

        

Constant

0.971

0.099

0.161***

0.791

0.106*

0.171

0.130

0.687

lnGDPi

1.371

0.088

1.493***

0.074

1.325***

0.064

0.730

0.100

lnGDPj

− 6.968

0.042

1.191***

0.141

0.920**

0.026

− 0.649

3.605

lnPOPi

− 1.129

0.017

− 1.127

0.204

− 0.579

0.150

− 0.245

0.262

lnPOPj

5.837

0.062

1.737**

0.200

0.5412*

0.091

0.449

0.120

lnDistij

− 3.631

0.074

− 3.032

0.818

− 1.120*

0.074

− 0.458

1.020

lnEXi

− 2.611

0.053

− 0.249**

0.052

− 0.218***

0.030

− 0.042

0.068

lnEXj

1.207

0.071

0.010***

0.095

− 0.413

0.035

0.292

1.206

\({\sigma }_{\mu }\)

0.598

0.018

0.472***

0.070

0.627**

0.056

0.896

0.077

\({\sigma }_{\nu }\)

0.364

0.845

0.147*

0.104

0.644*

0.011

0.572

0.259

\({\rho }_{1}\)

  

0.833**

0.154

0.790***

0.048

0.990

0.596

\({\rho }_{2}\)

  

− 0.096*

0.268

0.490***

0.001

− 0.089

0.268

\({\rho }_{3}\)

  

0.500***

0.020

\({\rho }_{4}\)

  

0.620

0.043

AIC

1437.306

1338.892

677.982

1380.869

BIC

1527.359

1386.557

733.580

1428.524

Vegetables

        

Constant

− 3.940

1.156

0.206***

1.285

0.210

1.055

0.313**

0.2987

lnGDPi

2.288***

0.083

2.295***

0.084

2.332**

0.073

0.414***

0.092

lnGDPj

− 0.719

0.158

− 0.786**

0.213

− 0.785

0.024

− 0.213

0.682

lnPOPi

− 1.352

0.212

− 1.386

0.211

− 1.416

0.096

− 1.754

0.573

lnPOPj

4.502***

0.711

2.176*

0.646

2.2198***

0.022

3.701*

0.173

lnDistij

− 1.966

0.831

− 2.099

0.824

− 2.146***

0.063

− 4.929

0.929

lnEXi

0.270**

0.056

0.268**

0.054

0.264***

0.047

0.751**

0.626

lnEXj

− 2.439

1.002

− 2.105

0.983

− 2.016

0.090

1.629***

0.110

\({\sigma }_{\mu }\)

0.611***

0.216

0.656***

0.111

0.815*

0.078

0.768

0.522

\({\sigma }_{\nu }\)

0.343**

0.399

0.648***

0.246

0.404**

0.033

0.008***

0.524

\({\rho }_{1}\)

  

0.732**

0.307

0.677***

0.068

0.594

0.280

\({\rho }_{2}\)

  

− 0.080*

0.268

0.990*

0.001

− 0.046

0.380

\({\rho }_{3}\)

  

0.063***

0.017

\({\rho }_{4}\)

  

0.137**

0.035

AIC

1426.396

1335.973

676.152

1358.847

BIC

1493.472

1383.636

749.725

1406.502

Herbs

        

Constant

− 5.853

0.091

0.2483***

5.468

0.197**

4.568

0.323

0.743

lnGDPi

4.532***

0.053

0.389***

0.056

0.375**

0.047

0.101**

0.096

lnGDPj

− 3.046

0.415

0.867***

0.231

1.222***

0.163

− 1.085

0.348

lnPOPi

− 1.008

0.191

− 1.399

0.142

− 1.169

0.114

− 1.251

0.244

lnPOPj

3.584

0.582

3.633

0.384

2.705**

0.629

3.632*

0.243

lnDistij

− 3.167***

0.764

− 4.943*

0.564

− 4.206***

0.456

− 4.281

0.958

lnEXi

5.823*

0.053

0.559**

0.037

0.544**

0.032

0.544***

0.063

lnEXj

− 3.184

0.081

− 1.112

0.611

− 0.148

0.499

− 0.062

0.144

\({\sigma }_{\mu }\)

0.295***

0.193

1.175**

0.235

0.505**

0.259

0.841**

0.139

\({\sigma }_{\nu }\)

0.475*

0.222

3.182*

0.338

1.927**

0.386

0.500

0.456

\({\rho }_{1}\)

  

0.369***

0.012

0.087***

0.116

0.990

0.352

\({\rho }_{2}\)

  

− 0.523

0.089

0.190*

0.001

− 0.092

0.268

\({\rho }_{3}\)

  

0.320**

4.199

\({\rho }_{4}\)

  

0.020***

0.643

AIC

1472.386

1367.127

648.123

1339.762

BIC

1496.364

1414.773

760.190

1387.417

  1. Calculation, significance codes: * = 0.1, ** = 0.05, *** = 0.01 and the best models, denoted by the lowest AIC and BIC values, were represented in bolditalic