Skip to main content

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

Table 11 Aberrant KC indicators summed by province

From: How to evaluate the reliability of regional input–output data? A case for China

 

2002–2007

2007–2012

 

Mutation

Trend

Suma

Mutation

Trend

Sum

Beijing

1

11

12

2

11

13

Tianjin

1

8

9

4

4

8

Hebei

0

2

2

1

3

4

Shanxi

0

7

7

2

9

11

Neimenggu

3

5

8

2

4

6

Liaoning

1

2

3

0

1

1

Jilin

3

8

10

2

3

5

Heilongjiang

1

2

2

1

2

3

Shanghai

7

7

13

1

4

5

Jiangsu

0

6

6

0

2

2

Zhejiang

2

5

7

1

6

7

Anhui

0

5

5

0

3

3

Fujian

5

6

11

3

6

9

Jiangxi

1

3

4

1

6

7

Shandong

1

7

8

0

8

8

Henan

0

4

4

0

4

4

Hubei

0

2

2

1

5

6

Hunan

0

2

2

0

1

1

Guangdong

3

9

11

0

8

8

Guangxi

1

3

4

2

0

2

Hainan

5

12

16

5

14

18

Chongqing

4

6

10

0

4

4

Sichuan

0

0

0

0

2

2

Guizhou

3

3

6

2

3

5

Yunnan

1

4

5

1

4

5

Shaanxi

4

1

5

4

1

5

Gansu

1

2

3

1

4

4

Qinghai

13

11

22

4

17

20

Ningxia

3

3

6

7

4

11

Xinjiang

2

4

6

5

2

7

Nation total

66

150

209

52

145

194

  1. aThere are seven (2002–2007) and three (2007–2012) overlapping aberrant KCs between mutations and trend outliers, which is the reason why sums are not always equal to the real sums of mutations and trend outliers