Indicator: Knowledge Economy related Regional Classification - UPDATE

This dataset contains the results of an update of the regional classification according a the set of indicators on four dimensions: Labour market, Migration and population dynamics, Knowledge Economy potential and Context indicators.
It is based on a cluster analysis and the algorithm for the clustering is the kmeans ++.
The Cluster Analysis has been carried out for 3 different time-span (2014-2015, 2018-2019; 2020) in order to derive changes due to recent trends.
All data actually used to build the classification (period average) are included Other Data Element "Knowledge economy (Regional classification)".

Theme(s): None

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Introduction

Author
ESPON project
Contact(s)
  • Stefan Speckesser (Project leader)
Territorial information
Spatial Extent Nomenclature
name version level
EU27+4EFTA+5CC+UK NUTS 2016 2
Years
2014-2016, 2018-2019, 2020

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Right

  • Constraints - Access classification: unclassified (default)
  • Constraints - Use constraint: copyright (default)

Methodology

Regional Classification is based on a cluster analysis according a the set of indicators on four dimensions: Labour market, Migration and population dynamics, Knowledge Economy potential and Context indicators.
Considered indicators are: Youth employment rate (15-24 years), Adult employment rate (25-64 years), Youth unemployment rate (15-24 years), Adult unemployment rate (25+ years), NEET rate (18-24 years) Natural change, Crude rate of net migration, Old dependency ratio, Persons with tertiary education (30-34), Human resources in science and technology (HRST), Intramural R&D expenditure (% of GDP), Availability of broadband (% of households) and Per capita GDP (2020 PPS)
The algorithm for the clustering is the kmeans ++ ; a sequence K-means++ algorithms with a pre-fixed number of clusters ranging from 2 to 9 has been performed.

Genealogy

Graph

Parents

  • Employment rate (%) - age group 15-24
  • Employment rate (%) - age group 25-64
  • Natural population change (%)
  • Broadband access rate (% households)
  • Human resources in science and technology (% active population)
  • Gross domestic product (GDP) at current market prices (Million PPS)
  • Crude rate of net migration
  • Unemployment (total) - age group 15-24
  • Unemployment (total) - age group 25+
  • NEET (young people neither in employment nor in education or training)
  • Population - age group 30-34 - with educational attainment level 5-8 (%)
  • Old dependency ratio (total)
  • Intramural R&D expenditure (GERD)

Child

None!

Other attributes

Id
3052
Status
Key indicator
Name
Knowledge Economy related Regional Classification - UPDATE
Code
KE_Clas
Is standard?
True
Is base indicator?
False
Type
Single
Data type
Enumerated
Unit of measure - Numerator / Denominator Name
None
Unit of measure - Numerator / Denominator Scale
None
Is a ranking?
False
Main Theme
None
Nature type
Typology
Labels
Name Description
1 Strongly attractive metropolitan areas and poles of financial services with high innovative pulse
2 Attractive and KE-related regions
3 Less attractive regions with potential in the KE
4 Depopulating regions with low KE potential
5 Western and continental Turkey: with no KE potential and a positive demographic balance
6 Eastern Turkey: with no KE potential and a strong emigration

Statistics

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