Benchmarking Regional Structure Rev. 2013

Finding reference regions based on structural similarities


A key to build sound innovation strategies for smart specialisation at the regional level is to identify opportunities for learning policy lessons and transferring practices from other regions. But what are the regions one should consider as a reference for these purposes? Our proposal is to start by identifying regions that share similar structural conditions which are relevant for innovation-driven development (social, economic, technological, institutional and geographical characteristics). That is, characteristics that cannot be easily changed in the short term and that are demonstrated to affect the way innovation and economic evolution take place in a region. Below you will find an interactive tool that allows you to identify reference regions across Europe based on a methodology jointly developed by Orkestra – Basque Institute of Competitiveness and the S3 Platform.

Documents
Methodological paper
Structural variables & data
Regional NUTS codes

Interactive tool


How it works

  1. Select a region in the top window
  2. Choose the number of reference regions you want to be displayed
  3. Decide if you want to exclude regions from the same country from the results
  4. Press “refresh” to get the results
  5. A list of regions will appear on the right side of the screen sorted in descending order from the ones that are more similar (top) to the less similar (bottom) to the region selected
  6. The order is given by a synthetic index of structural distance (lower value=structurally closer to the selected region) explained in the methodological paper.


The 20 nearest regions to Niedersachsen (DE9)
(regions within the same country are included in the comparison)
Distance index
Bayern - Germany (DE2) 0.0088
Schleswig-Holstein - Germany (DEF) 0.0096
Hessen - Germany (DE7) 0.0101
Baden-Württemberg - Germany (DE1) 0.0102
Nordrhein-Westfalen - Germany (DEA) 0.0103
Rheinland-Pfalz - Germany (DEB) 0.0141
Wales - United Kingdom (UKL) 0.0179
Brandenburg - Germany (DE4) 0.0191
West Midland, England - United Kingdom (UKG) 0.0206
Scotland - United Kingdom (UKM) 0.0207
East Midlands, England - United Kingdom (UKF) 0.0208
País Vasco - Spain (ES21) 0.0236
Mecklenburg-Vorpommern - Germany (DE8) 0.0237
Niederösterreich - Austria (AT12) 0.0248
Berlin - Germany (DE3) 0.0248
Saarland - Germany (DEC) 0.0252
North East, England - United Kingdom (UKC) 0.0253
Steiermark - Austria (AT22) 0.0261
Thüringen - Germany (DEG) 0.0264
South West, England - United Kingdom (UKK) 0.0270
Note! Lower index value = region closer to the selected region