A Regional Core, Adjacent, Periphery Model for National Economic Geography Analysis



50
[Figure 11]

Table 1A

Urban Agglomerates and the EU Geographic Core

d

Core
Reg

Reg.
Pop.
Dens

Nr
Urb
Ar.

Tot.

Pop.

Change

Y/P
(PPS)

Y/P
(PPS)

PROVINCES_____________

n regions________________

1997

1997

90-97

1990

1997

90-97

NORTH - WEST

1Merryside

931

C1

2166.3

9^

-24.6

77

74.6

-2.4

2Greater Manchester

855

C1__

2004.9

10

-12.9

___92

93.2

____1.2

YORKSHIRE-

3West Yorkshire

898

C3:1

1038.9

6

43.4

95

93.8

-1.2

HUMBERSIDE___________

4South Yorkshire

847

C4:1

838.1

___4_

10.9

____80

75.4

-4.6

____________________________________5Derbyshire, Nottinghamshire_______

783

A1:2

417.5

13

49.2

___92

93.1

____1.1

6Shropshire, Staffordshire

828

A1:2

239.1

11

37.2

86

89.0

3.0

WEST - MIDLANDS

7West Midlands

774

C1

2938.8

6

26.1

97

94.4

-2.6

_____8Hereford-Worcs., Warwick________

726

A1:2

203.9

___9_

44.4

___89

101.0

12.0

9Leich., Northamptonshire

735

A1:2

312.8

11

60.3

107

105.5

-1.5

WALES

10Gwent, Mid-S-W-Glamoran

819

C4:2

16

82

73.9

-8.1

SOUTH-EAST-WEST (UK)

11Avon, Glouch, Wilshire

760

C4:1

282.3

11

101.4

108

114.8

6.8

12Berks, Bucks, Oxfords

639

C4:1

362.2

12

95.6

113

126.3

13.3

13Bed-, Herefordshire

658

C4:1

547.4

13

49.7

105

104.5

-0.5

14Greater London

570

C

4489.7

1

316.3

154

145.7

-8.3

15Surrey, East-West Sussex__________

626

C4:1

464.5

18

116.4

101

106.7

____5.7

_________________________________16Kent___________________________

472

A1:1

418.8

18

38.2

___92

93.7

____1.7

Netherland

17Noord-Holland

238

C3:5

932.8

22

104.4

118

127.6

9.6

18Zuid-Holland

230

C2:1

1169.1

33

131.8

109

116.7

7.7

19Utrecht

179

C

794.9

12

67.8

95

125.6

30.6

20Gelderland_______________________

123

C4:1

379.1

27

87.3

____87

100.5

13.5

________________________________21Noord Brabant__________________

111

A1:4

468.7

26

122.9

___95

114.6

19.6

BELGIUM

22An twerp en

212

C4:2

570.8

16

39.7

166

169.1

3.1

23Brussels

252

C

5897.7

1

-12.1

126

138.5

12.5

24Oost Vlaanderen

283

C4:3

454.8

17

24.3

100

104.1

4.1

25West Vlaanderen

274

C4:1

358.7

14

21.3

107

116.2

9.2

26Hainaut__________________________

169

C4:2

339.1

17

5.7

____78

79.0

____1.0

27Champagne-Ardenne

287

A2:2

52.8

___8_

4.0

112

90.1

-21.9

FRANCE_______________

28Ile de France_______________________

487

C__

921.8

37

421.8

166

152.6

-13.4

____________________________29Namur______________________

137

A1:1

119.5

____3_

17.1

____83

86.0

___3.0

Belgium / Netherland

30Liege

121

C4:1

263.0

10

17.8

96

98.6

2.6

31Limburg (NL)___________________

110

C4:1

524.4

13

33.1

___94

103.1

___9.1

Nordrhein-

32Düsseldorf

0

C2:5

996.2

42

101.2

124

115.5

-8.5

WESTFALEN

33Koln

40

C2:2

568.8

53

226.1

114

115.3

1.3

34Munster

136

C2:1

376.6

29

162.2

96

96.5

0.5

35Detmold

150

C3:1

313.2

21

191.5

107

102.1

-4.9

36Arnsburg_______________________

45

C2:3

476.8

40

130.5

105

99.8

-5.2

Rheinland-Pfalz

37Koblenz

153

C3:1

187.3

6

134.9

95

89.7

-5.3

38Trier

278

C4:1

103.7

1

32.5

89

93.2

4.2

39Rheinessen-Pflaz__________________

287

C2:1

292.2

12

155.1

114

100.9

-13.1

SAARLAND

40Saarland_________________________

348

C4:2

418.0

13

9.3

109

98.3

-10.7

HESSEN

4 IDarmstadt

217

C2:2

497.4

31

212.1

158

164.7

6.7

42Kassel___________________________

225

C3:1

153.4

___7_

83.5

104

105.9

____1.9

baden - Wurtemburg

43Stuttgart

392

C2:1

369.4

33

290.1

137

130.5

-6.5

44Karlsruhe

284

C2:1

385.3

20

181.9

123

134.1

11.1

45Freiburg

477

C3:1

226.0

17

179.9

109

106.2

-2.8

46Tubingen

517

C4:1

195.9

13

157

112

110.1

-1.9

Niedersachsen

47Braunschweig

246

C3:1

206.2

16

55.7

111

97.6

-13.4

48Hanover

250

C2:1

237.5

23

116.3

115

111.4

-3.6

49Weser-Ems

404

C3:3

160.5

23

231.9

____93

102.2

___9.2

bayern

50Unterfranken

363

C3:3

1559.0

4

94.7

98

102.1

4.1

51Schwaben

555

C3:1

173.8

8

142.6

110

105.4

-4.6

52Mittlefranken

452

C2:1

231.7

8

112.7

125

121.3

-3.7

53Oberfranken

417

C3:2

154.1

7

58.1

103

106.4

3.4

54Oberplaz

542

C3:1

110.3

6

78.1

94

96.8

2.8

55Niederbayern

596

C4:3

112.6

4

106.1

95

101.4

6.4

56Oberbayern_____________________

620

C2:1

228.0

14

275.7

146

164.7

18.7

57Salzburg

759

A1:1

71.5

1

29.6

118

122.6

4.6

58Tirol

757

A1:1

52.3

1

30.5

107

106.7

-0.3

59Kamten

847

A1:1

59.1

2

15.4

85

89.0

4.0

60Trentino-Alto Adage______________

927

A2:2

67.7

___3_

34.2

135

131.1

-3.9

NORTHERN - ITALY

61Friuli-Venezia Giulia

1193

C3:1

151.1

5

-17.8

122

125.1

3.1

62Venetio

989

A1:6

242.9

26

75.8

117

123.0

6.0

63Lombardia

876

C3:1

375.9

52

61.5

135

131.1

-3.9

64Piemonte

936

A1:5

169.0

30

-65.6

121

116.7

-4.3



More intriguing information

1. The name is absent
2. THE WELFARE EFFECTS OF CONSUMING A CANCER PREVENTION DIET
3. The name is absent
4. Inhimillinen pääoma ja palkat Suomessa: Paluu perusmalliin
5. GENE EXPRESSION AND ITS DISCONTENTS Developmental disorders as dysfunctions of epigenetic cognition
6. EFFICIENCY LOSS AND TRADABLE PERMITS
7. Passing the burden: corporate tax incidence in open economies
8. Distortions in a multi-level co-financing system: the case of the agri-environmental programme of Saxony-Anhalt
9. The name is absent
10. The name is absent