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Finding Data

One of the main obstacles to creating a strategy is to find th data you will base it on. You will find a full manual on data collection on this page. This is an abstract of what data can be important and whee you can find them.

The following list of variables is based on our models. The information is derived from the
BUTTON project as well as other projects which have served as sources of inspiration. We tried to look for indicators for all variables that would be useful in all six. Some indicators are only used in one region and are therefore not comparable. This can be seen as a minimum package of variables and indicators. As mentioned before these variables are a minimum. Each partner will collect whatever available relevant information to present the brain flow situation as clear as possible, notwithstanding of these data can be compared (see next section).

Key variables

    • Regional key figures
      • Population (urban, rural)
      • Regional GDP
      • Knowledge related business
      • Population growth/decrease
      • Migration/immigration
      • Unemployment
      • Labor force
    • Size of brain drain (in number of people migrating from region)
      • high educated migrants
      • high educated just graduated migrants
      • high educated with work experience (> 5 years) migrants
      • economically important migrants without graduate education
      • socially important migrants without graduate education
    • Size of brain gain (in number of people immigrating into region)
      • high educated migrants
      • high educated just graduated migrants
      • high educated with work experience (> 5 years) migrants
      • economically important migrants without graduate education
      • socially important migrants without graduate education
    • Settlement (migration) factors
      • Related to job
        • Job opportunities
          • Available jobs
          • Career possibilities
        • Commuting distance
      • Income related
        • Regional income level
        • Cost of living
        • General price level
        • Cost of housing
      • Quality of living environment
        • accessibility of nature
        • level and quality of shopping facilities
        • level and quality of recreational and cultural facilities
        • level and quality of health services
        • level and quality of school education
        • availability of housing
        • quality of housing
        • distance to main economic and cultural center (time, travel possibilities)
      • Cultural factors
        • Image of the region
        • Mentality of the people

 

Some of these data are already gathered and published by specialised institutes. Some of the data available are:

Available comparable data (Eurostat data Regional Statistics)

    • Regional demographic statistics
      • Population and area
        • Population at 1st January by sex and age from 1990 onwards
        • Area of the regions
        • Population density
        • Demographic balance and crude rates
    • Regional economic accounts
      • Gross domestic product indicators
        • GDP at current market prices at NUTS level 3
        • Dispersion of regional GDP at Nuts level 2 and 3
      • Branch accounts
        • Gross value added at basic prices at NUTS level 3
        • Employment (in persons) at NUTS level 3
    • Regional labour market statistics
      • Regional economically active population – LFS series and LFS adjusted series
        • Economically active population by sex and age, at NUTS levels 1, 2 and 3 (1000)
      • Regional unemployment – LFS adjusted series
        • Unemployment by sex and age, at NUTS levels 1, 2 and 3 (1000)
        • Unemployment rates by sex and age, at NUTS levels 1, 2 and 3 (%)
      • Regional labour market disparities – LFS series and LFS adjusted series
        • Dispersion of regional (NUTS level 2 and 3) employment rates of age group 15-64 (%)
        • Dispersion of regional (NUTS levels 2 and 3) unemployment rates (%)
        • Underperforming regions regarding employment (NUTS level 2 and 3)
        • Underperforming regions regarding unemployment (NUTS level 2 and 3)


Methods for data collection

  • Literature review (concepts, variables and their operationalization)
  • Secondary data
  • Statistical analysis of  (official) databases
  • Analysis of policy documents, reports and studies
  • Interviews (motive and needs analysis, expert interviews, focus groups)
  • Surveys (motive and needs analysis)
  • Participatory meetings
  • Primary data collectioN