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

Table 4 Land embodied in imports and aggregation error of 49 regions (2015)

From: Adding country resolution to EXIOBASE: impacts on land use embodied in trade

Region

Total land area of flow (km2)

Share of global land area (km2), %

Aggregation error (km2)

Error score (ε)

Share of total aggregation error, %

Difference between databases (100 is equal to no difference), %

AU

92,300

0.4

67,400

0.73

2.0

168

MT

3620

0.0

2050

0.57

0.1

141

BR

203,000

0.9

83,100

0.41

2.4

70

RU

350,000

1.6

143,000

0.41

4.2

69

FR

442,000

2.0

161,000

0.37

4.7

95

ZA

99,900

0.5

35,600

0.36

1.0

84

CH

54,400

0.2

18,000

0.33

0.5

112

GB

321,000

1.5

100,000

0.31

2.9

121

HR

10,000

0.0

3010

0.30

0.1

107

IN

614,000

2.8

183,000

0.30

5.4

107

ES

217,000

1.0

63,400

0.29

1.9

113

RO

32,300

0.1

9200

0.28

0.3

108

PT

127,000

0.6

34,900

0.27

1.0

87

LU

26,200

0.1

7030

0.27

0.2

99

BE

217,000

1.0

57,600

0.27

1.7

87

SI

14,200

0.1

3740

0.26

0.1

91

GR

48,600

0.2

12,700

0.26

0.4

99

TW

1,210,000

5.6

315,000

0.26

9.2

80

NO

71,700

0.3

16,900

0.24

0.5

97

TR

310,000

1.4

72,500

0.23

2.1

96

DK

53,200

0.2

12,200

0.23

0.4

102

LT

29,900

0.1

6730

0.23

0.2

84

NL

325,000

1.5

71,600

0.22

2.1

111

IT

351,000

1.6

75,200

0.21

2.2

99

DE

573,000

2.6

112,000

0.19

3.3

103

JP

834,000

3.8

160,000

0.19

4.7

117

IE

45,900

0.2

7890

0.17

0.2

110

HU

30,300

0.1

4930

0.16

0.1

97

WM

1,350,000

6.2

213,000

0.16

6.2

99

BG

14,600

0.1

2210

0.15

0.1

108

PL

114,000

0.5

16,800

0.15

0.5

97

WE

100,000

0.5

14,600

0.15

0.4

92

CY

4460

0.0

636

0.14

0.0

106

AT

78,000

0.4

10,900

0.14

0.3

101

US

1,950,000

8.9

252,000

0.13

7.4

110

KR

626,000

2.9

76,700

0.12

2.3

106

LV

30,200

0.1

3530

0.12

0.1

90

ID

639,000

2.9

73,800

0.12

2.2

107

CZ

48,000

0.2

5400

0.11

0.2

102

CN

6,360,000

29.1

677,000

0.11

19.8

98

EE

11,500

0.1

1180

0.10

0.0

98

SK

22,600

0.1

2280

0.10

0.1

105

SE

182,000

0.8

16,400

0.09

0.5

104

WF

530,000

2.4

46,700

0.09

1.4

100

CA

296,000

1.4

23,700

0.08

0.7

105

WA

1,580,000

7.3

100,000

0.06

2.9

100

MX

298,000

1.4

14,200

0.05

0.4

103

FI

284,000

1.3

5690

0.02

0.2

100

WL

622,000

2.8

12,200

0.02

0.4

101

  1. Sorted by aggregation error score. The error score is relative to the total value of the specific flow of imports. The share of total aggregation error refers to the aggregation error summed across all flows (i.e., global). The difference between databases shows the value of the flow in the aggregated database compared to that in EXIOBASE 3rx