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

Table 4 Potential amount of improvement by type of variables

From: A productivity analysis considering environmental pollution and diseases in China

 

Labor

Capital

GRP

Waste gas

Wastewater

Patient

Infectious disease

Unit

10 thousand

100 million yuan

100 million yuan

100 million m3

10 thousand tons

10 thousand persons

1 person

01 Beijing

259

1,695

0

158

20,196

1,116

25,320

02 Tianjin

114

102

0

1,753

16,771

451

12,778

03 Hebei

2,300

0

0

27,434

78,596

286

79,283

04 Shanxi

1,071

3

47

15,577

47,184

499

60,191

05 Inner   Mongolia

511

143

0

8,375

13,206

125

36,839

06 Liaoning

991

110

0

14,084

108,886

15

41,995

07 Jilin

739

1,073

0

2,220

54,254

693

43,339

08 Heilongjiang

364

0

0

906

11,400

0

26,359

09 Shanghai

132

140

0

1,717

61,188

764

10,998

10 Jiangsu

1,647

0

0

9,045

214,247

404

36,399

11 Zhejiang

1,779

418

0

7,690

143,200

4,252

104,652

12 Anhui

2,827

0

0

8,190

81,264

2,401

100,700

13 Fujian

859

0

0

1,763

99,322

115

52,466

14 Jiangxi

1,619

297

0

3,840

71,909

1,400

81,996

15 Shandong

1,103

0

0

3,368

26,724

6

17,297

16 Henan

4,356

0

0

10,372

128,969

2,623

229,598

17 Hubei

1,927

515

54

7,187

142,399

1,952

125,110

18 Hunan

2,755

0

0

3,475

140,476

891

81,483

19 Guangdong

136

0

0

344

22,007

465

10,786

20 Guangxi

1,962

0

776

7,265

194,122

2,583

108,649

21 Hainan

248

270

260

506

17,865

212

19,625

22 Chongqing

1,297

0

441

4,848

92,111

1,438

69,280

23 Sichuan

3,495

418

1,443

8,106

115,904

5,773

188,432

24 Guizhou

1,837

0

826

4,961

8,639

595

97,180

25 Yunnan

2,068

0

660

4,216

24,718

2,761

81,683

26 Shanxi

1,439

685

431

3,358

36,875

1,372

77,129

27 Gansu

1,069

0

305

3,784

12,515

1,544

105,053

28 Qinghai

177

0

319

1,583

7358

246

20,702

29 Ningxia

159

0

537

2,587

17,005

224

16,059

29 area potential total

39,237

5,867

6,100

168,713

2,009,310

35,207

1,961,380

29 area data total

69,487

477,393

241,944

332,584

5,326,304

256,491

3,216,494

Potential rate

56 %

1.2 %

2.5 %

51 %

38 %

13.7 %

61 %

  1. Twenty-nine area potential total represents the sum of potential among 29 areas from 2003 and 2005 to 2009. Twenty-nine area data total shows the sum of data value among 29 areas from 2003 and 2005 to 2009. Potential rate is calculated by 29 area potential total divided by 29 area data total. The unit of patients was “1 person” in WRDDM estimation process. But in this table, we changed it into “10 thousand people”, for easy reading