Table 4 EE in provinces along the B&R, 2013–2022.

From: Research on eco-efficiency of provinces along the Belt and Road in China based on DEA methods and AI prediction algorithms

Province

2013

2014

2015

2016

2017

2018

2019

2020

2021

2022

Mean

Inner Mongolia

0.747

0.745

0.684

0.601

0.586

0.593

0.618

0.590

0.542

0.569

0.627

Liaoning

0.579

0.548

0.515

0.692

0.712

0.714

0.736

0.694

0.719

0.711

0.662

Jilin

0.625

0.588

0.537

0.406

0.420

0.448

0.439

0.447

0.465

0.469

0.484

Heilongjiang

0.629

0.572

0.510

0.387

0.413

0.403

0.408

0.417

0.421

0.442

0.460

Shanghai

0.890

0.942

1.000

1.001

1.000

1.000

1.001

0.945

1.001

1.009

0.979

Zhejiang

0.928

0.942

0.839

0.856

0.857

0.879

0.896

0.841

0.876

0.863

0.878

Fujian

0.809

0.814

0.733

0.797

0.766

0.922

1.006

0.941

0.980

1.002

0.877

Guangdong

1.003

1.023

0.968

1.011

0.978

0.979

1.005

0.960

0.990

1.007

0.992

Guangxi

0.615

0.594

0.501

0.419

0.430

0.432

0.445

0.421

0.429

0.440

0.473

Hainan

0.703

0.684

0.474

0.459

0.468

0.471

0.480

0.492

0.507

0.513

0.525

Chongqing

0.769

0.716

0.617

0.583

0.573

0.587

0.603

0.622

0.646

0.662

0.638

Yunnan

0.788

1.000

0.647

0.527

0.570

0.542

0.556

0.554

0.566

0.549

0.630

Shaanxi

0.805

0.794

0.642

0.553

0.595

0.580

0.600

0.584

0.588

0.604

0.634

Gansu

0.595

0.628

0.426

0.408

0.378

0.392

0.350

0.348

0.340

0.332

0.420

Qinghai

0.635

0.615

0.455

0.403

0.374

0.362

0.360

0.342

0.343

0.346

0.423

Ningxia

0.668

0.613

0.600

0.448

0.373

0.345

0.355

0.352

0.353

0.359

0.447

Xinjiang

0.616

0.590

0.486

0.420

0.427

0.395

0.392

0.382

0.368

0.386

0.446

Mean

0.730

0.730

0.626

0.586

0.584

0.591

0.603

0.584

0.596

0.604

0.623

SD

0.127

0.161

0.173

0.211

0.209

0.226

0.240

0.219

0.236

0.237

 

CV (%)

17.4

22.1

27.7

36.1

35.9

38.2

39.8

37.6

39.6

39.2

 
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