Table 3 Overall and divisional efficiencies for cities in China.

From: Decomposing the comprehensive efficiency of major cities into divisions on governance, ICT and sustainability: network slack-based measure model

 

2015

2016

2017

2018

2019

DMU

Overall

Rank

Governance

ICT

Sustainability

Overall

Rank

Governance

ICT

Sustainability

Overall

Rank

Governance

ICT

Sustainability

Overall

Rank

Governance

ICT

Sustainability

Overall

Rank

Governance

ICT

Sustainability

1. Beijinga

0.99993

9

0.99996

0.99985

1

0.99995

7

0.9999

0.99995

1

0.99994

6

1

0.99981

1

0.99991

9

0.99991

0.99982

1

0.99993

8

0.99993

0.99987

1

2. Shanghaia

0.99999

8

0.99998

1

1

0.99997

6

0.99993

0.99999

1

1

1

1

1

1

0.99999

8

0.99996

1

1

0.99998

7

0.99994

1

1

3. Guangzhoua

0.76918

27

0.57774

0.7298

1

0.7305

23

0.41994

0.77156

1

0.7949

25

0.62943

0.75527

1

0.67029

31

0.25407

0.86632

0.88137

0.74034

27

0.39729

0.82402

0.99968

4. Shenzhena

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

0.85689

20

0.62797

0.94269

1

0.85439

18

0.61261

0.95055

1

5. Chengdua

0.94793

10

0.99802

0.84595

0.99981

0.64701

30

0.20667

0.73435

1

0.65304

35

0.30084

0.65826

1

0.63613

32

0.21623

0.69216

1

0.61833

33

0.21197

0.64303

1

6. Hangzhoua

0.67772

31

0.42097

0.6122

1

0.65932

29

0.34491

0.63304

1

0.68148

34

0.41767

0.62676

1

0.67963

30

0.41622

0.62267

1

0.70301

30

0.37715

0.73188

1

7. Chongqinga

0.56534

34

0.33891

0.72103

0.61452

0.47483

37

0.26182

0.50121

0.61929

0.99634

7

0.99403

0.99886

0.99613

0.53251

38

0.43067

0.70696

0.48553

0.54135

36

0.35221

0.64944

0.59777

8. Wuhana

0.45585

38

0.33444

0.43447

0.5756

0.46527

38

0.33418

0.4238

0.61252

0.55979

37

0.48688

0.53138

0.64982

0.60781

33

0.43373

0.65394

0.72411

0.59301

34

0.36351

0.69866

0.70615

9. Xi’ana

0.51925

35

0.33104

0.61654

0.59534

0.49438

35

0.31272

0.57655

0.57677

0.71225

31

0.4399

0.69684

1

0.54941

36

0.33685

0.676

0.6337

0.5685

35

0.38167

0.72722

0.59218

10. Suzhoua

0.78937

24

0.58654

0.78158

1

0.81095

16

0.69051

0.74235

1

0.78349

28

0.64651

0.70398

1

0.80259

23

0.5844

0.82338

1

0.75842

23

0.4605

0.81475

1

11. Tianjina

0.50066

37

0.53036

0.36247

0.60344

0.52444

34

0.57232

0.40069

0.59167

0.59732

36

0.70457

0.48567

0.60108

0.57099

34

0.42621

0.65624

0.62248

0.53854

37

0.38554

0.51013

0.70469

12. Nanjing

0.71899

28

0.44751

0.71028

0.99909

0.69622

25

0.39259

0.69651

0.99952

0.73166

30

0.39502

0.79994

1

0.72873

28

0.45976

0.72643

1

0.70347

29

0.36187

0.74856

1

13. Changsha

0.7779

25

0.5803

0.75341

1

0.80586

17

0.56524

0.85233

1

0.84049

19

0.64624

0.87523

1

0.87177

17

0.64679

0.96853

1

0.67526

31

0.69113

0.63528

0.69556

14. Zhengzhoua

0.79012

23

0.71333

0.65702

1

0.74727

22

0.47566

0.76615

1

0.5556

38

0.51436

0.4964

0.63467

0.55093

35

0.40218

0.59609

0.6304

0.74226

26

0.3849

0.84188

1

15. Dongguan

0.86848

16

0.76105

0.8444

1

0.95287

9

1

0.8586

1

0.9603

9

1

0.88089

1

0.95928

11

1

0.87785

1

0.91475

12

1

0.74425

1

16. Qingdao

0.80181

21

0.58461

0.82081

1

0.72981

24

0.51809

0.67135

1

0.79478

26

0.57444

0.8099

1

0.83569

21

0.62961

0.87745

1

0.78764

21

0.58159

0.78132

1

17. Shenyang

0.7698

26

0.542

0.76753

0.99985

0.66773

27

0.55185

0.72094

0.72065

0.79586

24

0.67238

0.71521

1

0.79762

25

0.61803

0.77483

1

0.76857

22

0.63333

0.67238

1

18. Hefei

0.80731

19

0.57301

0.84996

0.99889

0.5835

33

0.56161

0.63826

0.55368

0.78794

27

0.54063

0.82363

0.99949

0.68467

29

0.56993

0.79706

0.68686

0.63078

32

0.58637

0.67583

0.63016

19. Foshan

1

1

1

1

1

0.87989

14

0.83982

0.81025

0.98912

0.8867

15

0.98913

0.88896

0.79464

0.82497

22

0.83923

0.88033

0.76271

0.88327

14

0.87638

0.79909

0.9738

20. Wuxi

0.82673

17

0.64579

0.8344

1

0.78992

20

0.58201

0.78776

1

0.91358

13

0.74073

1

1

0.86818

18

0.70821

0.89632

1

0.83518

19

0.62826

0.87727

1

21. Ningbo

0.80596

20

0.55657

0.86132

1

0.80338

18

0.58995

0.82019

1

0.81763

21

0.76303

0.78058

0.90566

0.89113

15

0.78291

0.89046

1

0.85535

17

0.67288

0.89315

1

22. Kunming

0.70033

30

0.76346

0.70059

0.64351

0.66201

28

0.60662

0.72576

0.65442

0.74992

29

0.69475

0.79515

0.75793

0.80129

24

0.61599

0.78787

1

0.74941

25

0.61253

0.6357

1

23. Dalian

0.89359

15

0.68076

1

1

0.87831

15

0.6461

0.98883

1

0.88354

17

0.67531

0.97532

1

0.95207

12

1

0.85621

1

0.87279

15

0.70777

0.91061

1

24. Fuzhou

0.79443

22

0.63804

0.74525

1

0.79033

19

0.56314

0.80786

1

0.83127

20

0.59504

0.89878

1

0.75432

27

0.50951

0.75345

1

0.75517

24

0.51585

0.74967

1

25. Xiamen

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

0.9593

9

1

0.8779

1

26. Harbina

0.56704

33

0.52215

0.62012

0.56046

0.60908

31

0.5011

0.7476

0.58496

0.81397

23

0.49618

0.94571

1

0.89479

14

0.68437

1

1

0.86475

16

0.59426

1

1

27. Jinan

0.62339

32

0.45999

0.64996

0.75465

0.60869

32

0.43828

0.71895

0.663

0.70846

32

0.4383

0.68708

1

0.76066

26

0.46125

0.82072

1

0.71999

28

0.43323

0.72672

1

28. Wenzhou

0.91547

12

1

0.74641

1

0.93842

11

1

0.81527

1

0.95891

10

0.99992

0.8768

1

0.93816

13

1

0.81449

1

0.93431

11

1

0.80294

1

29. Nanning

1

1

1

1

1

1

1

1

1

1

0.81751

22

0.64489

0.80764

1

1

1

1

1

1

1

1

1

1

1

30. Changchun

1

1

1

1

1

0.78713

21

1

0.82812

0.58192

0.87386

18

0.65536

0.96622

1

1

1

1

1

1

1

1

1

1

1

31. Quanzhou

0.81323

18

0.65598

0.7837

1

0.88355

13

0.65066

1

1

0.90391

14

0.71174

1

1

0.85813

19

0.63983

0.93456

1

0.95065

10

0.90447

0.94747

1

32. Shijiazhuanga

0.51758

36

0.49006

0.81696

0.33736

0.49374

36

0.47476

0.68904

0.36812

0.70463

33

0.43232

0.68479

0.99613

0.54037

37

0.43362

0.72906

0.47349

0.51244

38

0.43688

0.67578

0.44743

33. Guiyang

0.94025

11

1

0.82076

1

0.95443

8

1

0.86329

1

0.92272

12

1

0.76816

1

0.96264

10

1

0.88793

1

0.91001

13

0.79877

0.93127

1

34. Nanchang

0.71716

29

0.94432

0.83049

0.48956

0.68578

26

0.87477

0.84553

0.45

0.97931

8

1

0.93792

1

0.8803

16

0.74817

0.89274

1

0.82322

20

0.59908

0.87057

1

35. Jinhua

0.89843

13

0.6953

1

1

0.94179

10

0.82538

1

1

0.93757

11

0.8842

0.92852

1

1

1

1

1

1

1

1

1

1

1

36. Changzhou

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

37. Nantong

0.8954

14

0.79795

0.88824

1

0.90186

12

0.78915

0.91643

1

0.88486

16

0.73315

0.92145

1

1

1

1

1

1

1

1

1

1

1

38. Jiaxing

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

  1. aDenote cities with a permanent population exceeding 10 million at the end of 2019.
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