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Table 4 Energy consumption efficiencies

From: The impact of media reports on energy and environmental efficiency in China: evidence from modified dynamic DEA with undesirable outputs

No.

DUM

2013 com

2014 com

2015 com

2016 com

1

Beijing

1.0000

1.0000

1.0000

1.0000

2

Changchun

0.9000

1.0000

0.9629

0.9772

3

Changsha

0.5937

0.7051

0.7119

0.6986

4

Chengdu

1.0000

0.8444

1.0000

1.0000

5

Chongqing

1.0000

1.0000

1.0000

1.0000

6

Fuzhou

0.9534

0.9486

0.9783

0.9748

7

Guangzhou

1.0000

1.0000

1.0000

1.0000

8

Guiyang

0.5263

0.6662

0.8048

0.9157

9

Harbin

0.9684

0.9994

0.8697

0.8388

10

Haikou

1.0000

0.9326

1.0000

1.0000

11

Hangzhou

0.6541

0.8137

0.8612

0.8664

12

Hefei

0.7951

0.9984

1.0000

1.0000

13

Huhehaote

0.4190

0.8416

0.8415

0.8026

14

Jinan

0.6914

0.4810

0.5829

1.0000

15

Kunming

0.5398

0.6160

0.8412

0.8496

16

Lanzhou

0.5757

0.5676

0.4725

0.5080

17

Lhasa

1.0000

0.9100

1.0000

1.0000

18

Nanchang

0.9134

0.9957

0.9731

0.8402

19

Nanjing

0.5853

0.5729

0.8323

0.8224

20

Nanning

1.0000

1.0000

1.0000

1.0000

21

Shanghai

1.0000

1.0000

1.0000

1.0000

22

Shenyang

0.6613

0.6134

0.7766

0.9030

23

Shijiazhuang

0.6944

0.7436

0.6312

0.6940

24

Taiyuan

0.2522

0.2668

0.2607

0.3127

25

Tianjin

0.6323

0.6352

0.6483

0.6683

26

Wuhan

0.7425

0.8115

0.8543

0.8427

27

Wulumuqi

0.8149

0.8573

0.9303

0.7825

28

Xian

1.0000

0.8932

0.9999

1.0000

29

Xining

0.4186

0.4207

0.4428

0.9703

30

Yinchuan

0.5295

0.4735

0.3949

0.3796

31

Zhengzhou

0.9966

0.9138

1.0000

0.5152