Kai Böhme Kai Böhme Sabine Zillmer, Kai Pflanz, Tomas Hanell & Petteri Niemi

Transcription

1 ESPON Typology ogy Compilation o Kai Böhme Kai Böhme Sabine Zillmer, Kai Pflanz, Tomas Hanell & Petteri Niemi

2 Scope of the study Tasks Compilation / assessment of existing typologies of typologies for ESPON Draft final November 2009, final report January 2010 Themes Urban / metropolitan regions Rural regions Sparsely populated regions Regions in industrial transition Cross-border regions Mountainous regions Islands Coastal regions

3 Review 56 existing typologies scrutinised Urban areas 8 typologies Region regions 18 typologies Sparsely populated regions 4 typologies Regions in industrial transition 0 Cross-border regions 12 typologies Mountainous regions 6 typologies Islands 3 typologies Coastal regions 4 typologies Not convinced by any. Useful for different ESPON projects / themes. Based on what is available. Easy to spice with socio-economic data.

4 s 8 Typologies Correct / robust Policy relevant / accepted No conflict between typologies Differentiation within typologies ESPON coverage Simple! Easy to cross-analyse with ESPON results Useful for different ESPON projects / themes. Based on what is available. Easy to spice with socio-economic data.

5 Urban regions 1) economic and political administrative functions as well as city size and; Location of offices of 100 largest global service producing enterprises. All in all, office locations within the extended ESPON space are considered. status as national capital city size 2) crude settlement pattern OECD Regional Typology

6 Rural regions 1. Rural regions identified based on the OECD Regional Typology 2. Accessibility to larger urban centres identified based on ESPON The economic base of rural regions classified according to primary production branches share of total GVA and employment respectively.

7 Sparsely populated regions 1) Population density Below 8 inhabitants per km² (very sparsely populated) Below 50 inhabitants per km² (sparsely populated) 2) Population development Above 1 % population growth Between 1 % population decrease and 1 % population growth from 2000 to 2006 Below 1 % population decrease

8 Industrial transition 1) Industrial regions: share of Gross Value Added & the share of employment in manufacturing at beginning of reference period > 25 % of total GVA and employment respectively 2) Transition Decline: the relative share of GVA and employment has decreased between two point in time Revival: both shares have increased Structural change: the two indicators have changed in different directions

9 Mountainous 1) Share of regional population living in mountainous municipalities: More than 2/3 (predominantly mountainous regions) More than 1/3 but less than 2/3 (moderately mountainous regions) More than zero but less than 1/3 (subsumed with nonmountainous regions) 2) Access to nearest city based on DG Regio rural- urban typology (urban regions, close to a city, remote regions)

10 Islands 1) Regions which are islands Subdivision by population figures 2) Regions with island municipalities Subdivision by population living in island municipalities: %, up to 10 %, 0; no regions within 30-99% 3) Regions with islands Island, displayed by the ESPON layer with a resolution of 1:20,000,000, are taken into account

11 Coastal regions Share of regional population living in coastal municipalities Coastal municipalities are defined as such municipalities not further than 10 km away from the coastline.

12 Border regions 1) Political types internal and external borders (EU/EFTA) 2) Border exposure Ratio between length of border and size of region 3) Border crossings Five or more border crossing per 100 km are defined as high density of border crossings; less than five or maritime borders are defined as low density of border crossings

13 Border regions Example: GDP and types of border regions

14 How to use the typologies How feature certain types of territories in your indicators or typologies? Currently the integration in the ESPON database is tested. Your indicators or typologies The report contains - typology fact sheets - decision trees - some health warnings ESPO ON typologies new ESPON information Typology excel sheets - regions by categories

15 Thank you very much for your attention! For comments and further suggestions: Dr Kai Böhme Spatial a Foresight GmbH kai.boehme@spatialforesight.eu