Table 2 Descriptive statistics.

From: Does climate policy uncertainty affect carbon emissions in China? A novel dynamic ARDL simulation perspective

Variable

Mean

Median

Maximum

Minimum

Std. Dev.

Skewness

Kurtosis

Jarque-Bera

Probability

North China

 CO2

14.420

14.513

14.740

13.973

0.223

–0.600

2.392

1.131

0.568

 CCPU

7.035

7.042

7.562

6.282

0.373

–0.742

3.101

1.383

0.501

 EC

11.233

11.311

11.455

10.856

0.174

–0.832

2.610

1.826

0.401

 GDP

11.178

11.354

11.685

10.276

0.465

–0.688

2.116

1.670

0.434

Northeast China

 CO2

13.660

13.750

13.831

13.273

0.168

–1.083

2.939

2.933

0.231

 CCPU

7.035

7.042

7.562

6.282

0.373

–0.742

3.101

1.383

0.501

 EC

10.560

10.629

10.730

10.203

0.155

–1.174

3.170

3.463

0.177

 GDP

10.573

10.771

10.965

9.752

0.410

–0.839

2.269

2.095

0.351

Eastern China

 CO2

14.759

14.840

14.992

14.372

0.184

–0.766

2.491

1.628

0.443

 CCPU

7.035

7.042

7.562

6.282

0.373

–0.742

3.101

1.383

0.501

 EC

11.665

11.736

11.886

11.271

0.189

–0.778

2.423

1.723

0.423

 GDP

12.151

12.249

12.836

11.233

0.509

–0.384

1.945

1.065

0.587

Southcentral China

 CO2

14.352

14.436

14.509

13.965

0.166

–1.098

3.013

3.013

0.222

 CCPU

7.035

7.042

7.562

6.282

0.373

–0.742

3.101

1.383

0.501

 EC

11.368

11.456

11.545

10.969

0.182

–0.996

2.703

2.536

0.281

 GDP

11.797

11.898

12.521

10.844

0.528

–0.375

1.957

1.030

0.597

Southwest China

 CO2

13.599

13.701

13.751

13.181

0.186

–1.100

2.788

3.054

0.217

 CCPU

7.035

7.042

7.562

6.282

0.373

–0.742

3.101

1.383

0.501

 EC

10.671

10.760

10.864

10.255

0.201

–0.875

2.366

2.165

0.339

 GDP

10.749

10.868

11.610

9.700

0.611

–0.288

1.855

1.026

0.599

Northwest China

 CO2

13.507

13.648

13.981

12.846

0.379

–0.465

1.768

1.491

0.475

 CCPU

7.035

7.042

7.562

6.282

0.373

–0.742

3.101

1.383

0.501

 EC

10.444

10.533

10.853

9.886

0.326

–0.337

1.684

1.366

0.505

 GDP

10.200

10.369

10.912

9.172

0.563

–0.487

1.923

1.318

0.517