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Spatial Mobility and Demographic Change
         Causes, Effects, Regional Development Strategies




                                  Regional Impacts of Demographic Change
                              EDUPROF-meeting on April 14th & 15th in Groningen
   Prof. Dr. Christian Arndt, Economics
   Prof. Dr. Alfred Ruther-Mehlis, Urban Planning
Arndt
Ruther-Mehlis Rotraut Weeber, Urban Sociology, Real Estate
   Prof. Dr.
Weeber Dr. Christian Küpfer, Landscape and Environmental Planning
   Prof.
Küpfer
The HfWU University and the Research Team
       HfWU – University of Economics and Environment,
         Nürtingen/Geislingen

       • Region of Stuttgart
       • about 4000 students and 25 degree programmes
       • main subjects
               –   Business and Economics,
               –   Environmental Sciences, e.g. Environmental Planning and Protection
               –   Urban Planning, Landscape Architecture, Agricultural Economics,
               –   Real Estate, Energy and Resource Management.




Arndt
Ruther-Mehlis Arndt              Ruther-Mehlis               Weeber                Küpfer
Weeber
Küpfer
The HfWU focus on
  demographic change and spatial mobility
      45
                 40
                                Migration rates by age-groups
      40
                                (per year, age of the head of the household)
      35
      30

      25
                           19
      20

      15                                                                                  12
                                       10
      10
                                                 5
                                                           4         3           3
        5

        0
                20-29    30-39        40-49    50-59     60-69     70-79       ab 80      alle
                                                                                       Jahrgänge
Arndt
Ruther-Mehlis
Weeber
                  Weeber+Partner, Source: Sozio-Ökonomisches Panel 1996-2005
Küpfer
Demographic change and spatial mobility,
                    four main research questions:
                1. Come, Go, Stay
                    Which populations groups? Where from and where to?

                2. Who moves away? And why?
                    What are the groups’ causes, motives, decision criteria?

                3. Primary and secondary effects in the different areas?

                4. What are the levers and strategies for influencing the changes and effects?
                    What regional strategies are particularly relevant for rural and suburban
                    areas?
Arndt
Ruther-Mehlis
Weeber
Küpfer
Migration balances across age-groups and cities
                                  -496                                        75 and more              -53
                                     -203                                       70 – u. 75                -18
                                   -392                                         65 – u. 70              -37
                                   -385                                         60 – u. 65               -30
                                     -229                                       55 – u. 60                -22
                                      -139                                      50 – u. 55                 -11
                                     -203                                       45 – u. 50                   -3
                                    -325                                        40 – u. 45               -29
                                  -519                                          35 – u. 40             -58
     Stadt Stuttgart                 -243                                       30 – u. 35            -76                                                   Stadt Ulm
                                                                       1840     25 – u. 30                                    65
     (565.950)                                                            2297 21 – u. 25                                                           399     (122.087)
                                                           768                  20 – u. 21                                             167
                                                           711                  18 – u. 20                                             165
                                                  75                            15 – u. 18                            5
                                        -73                                     10 – u. 15                   -9
                                      -152                                        6 – u. 10                -28
                                        -55                                         5 –u. 6                           0
                                    -410                                           1 – u. 5          -87                                                              Weeber based
                                        -47                                            u. 1                  -2                                                       on Statistisches
                         2000 -1000           0        1000           2000   3000             300         -100            100                300      500             Landesamt,
                                                         11                     75 and more                                                         23                2010
                                                   1                              70 – u. 75                               2
                                              0                                   65 – u. 70                     -1
                                         -4                                       60 – u. 65                              0
                                         -5                                       55 – u. 60                              0
                                                       4                          50 – u. 55                     -1
                                                       4                          45 – u. 50                              0
                                                   0                              40 – u. 45                                       6
                                         -5                                       35 – u. 40                     -1
                                                                 18               30 – u. 35                               2
  Stadt Nagold             -28
                              -22                                                 25 – u. 30
                                                                                                    -10
                                                                                                                                   5                                Stadt Beuren
                                                                                  21 – u. 25
  (21.756)                               -5
                                              0                                   20 – u. 21
                                                                                                                 -1
                                                                                                                          1                                         (3.641)
                                                                                  18 – u. 20
                                                    3                             15 – u. 18                              0
                                                     5                            10 – u. 15                              1
                                                   1                                                                       1
                                          -3                                        6 – u. 10
Arndt                                                                                 5 –u. 6                             1
Ruther-Mehlis                              -1                                                                             1
                                                   0                                 1 – u. 5
                                                                                                                          0
Weeber                                                                                   u. 1
Küpfer             -50      -30         -10            10             30      50              -20    -10              0                10      20         30   40
Brain Exchange
                           and Demographic Change

        • Understanding the reasons, sources, future extent and impacts of
                regional migration on the demographic change needs knowledge
                about
                 –   the skill-composition of migratory flows
                 –   the duration of migration
                 –   interactions between skill-composition an duration of migration
                 –   inter-regional and inter-national migratory flows
                 –   patterns of commuting

        • Empirical identification problem
                lack of data on the semi-aggregated and micro level

        • Possible solutions
                 – Estimation techniques
                 – Existing micro data
Arndt
                 – Using existing / establishing own surveys
Ruther-Mehlis        so far: certain groups SHARE, GSOEP, student and alumni data
Weeber
Küpfer
Stylized facts:
                Regions in a Region
                               • Heterogeneity of
                                     – top-destination countries,
                                     – brain drain and
                                     – border effects
                                   when the skill composition is
                                   accounted for




                             Source: Arndt,
Arndt
                             Christensen,
Ruther-Mehlis
Weeber                       Gurka (2010)
Küpfer
Summary and Outlook


        • Demographic change affects rural and suburban areas differently!
                – Young people have to leave these areas for higher education
                – Simultaneously higher educated young people do not find an adequate job in rural
                  areas and some suburban areas
                – Matching problems on the labor market


        • Follow Up
                – What are the driving forces behind these processes?
                – Interactions between age groups, skill-levels, duration and stickyness
                – Scope for regional development strategies regarding infrastructure and
                  education?


Arndt
Ruther-Mehlis
Weeber
Küpfer
Arndt
Ruther-Mehlis
Weeber
Küpfer
Change of age-groups 2010 to 2030 – federal state Baden-Württemberg
 population projection Statistisches Landesamtes



       250000
                    Kinder              Jugendl.,        Junge im                Ältere im
       200000       -219265             Junge            Erwerbsalter,           Erwerbsalter,
       150000                           Erw.             Aufbauphase             Konsolidierungsp.
                                        -263153          -142068                 -600514
       100000
        50000
                0
                    0-4

                          5-9
                                10-14

                                         15-19
                                                 20-24

                                                         25-29
                                                                 30-34

                                                                         35-39
                                                                                 40-44

                                                                                         45-49

                                                                                                 50-54
                                                                                                         55-59

                                                                                                                 60-64
                                                                                                                         65-69

                                                                                                                                 70-74
                                                                                                                                         75-79

                                                                                                                                                 80-84

                                                                                                                                                         85-89

                                                                                                                                                                 ab 90
       -50000
      -100000
      -150000
      -200000
                                                                                                                 Junge Alte              Hochaltrige
      -250000                                                                                                    +499704                 +354059



Arndt
Ruther-Mehlis
Weeber                    Source: Weeber+Partner; Statistisches Landesamt Baden-Württemberg
Küpfer

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Spatial Mobility and Demographic Change. Causes, Effects, Regional Developmen Strategies

  • 1. Spatial Mobility and Demographic Change Causes, Effects, Regional Development Strategies Regional Impacts of Demographic Change EDUPROF-meeting on April 14th & 15th in Groningen Prof. Dr. Christian Arndt, Economics Prof. Dr. Alfred Ruther-Mehlis, Urban Planning Arndt Ruther-Mehlis Rotraut Weeber, Urban Sociology, Real Estate Prof. Dr. Weeber Dr. Christian Küpfer, Landscape and Environmental Planning Prof. Küpfer
  • 2. The HfWU University and the Research Team HfWU – University of Economics and Environment, Nürtingen/Geislingen • Region of Stuttgart • about 4000 students and 25 degree programmes • main subjects – Business and Economics, – Environmental Sciences, e.g. Environmental Planning and Protection – Urban Planning, Landscape Architecture, Agricultural Economics, – Real Estate, Energy and Resource Management. Arndt Ruther-Mehlis Arndt Ruther-Mehlis Weeber Küpfer Weeber Küpfer
  • 3. The HfWU focus on demographic change and spatial mobility 45 40 Migration rates by age-groups 40 (per year, age of the head of the household) 35 30 25 19 20 15 12 10 10 5 4 3 3 5 0 20-29 30-39 40-49 50-59 60-69 70-79 ab 80 alle Jahrgänge Arndt Ruther-Mehlis Weeber Weeber+Partner, Source: Sozio-Ökonomisches Panel 1996-2005 Küpfer
  • 4. Demographic change and spatial mobility, four main research questions: 1. Come, Go, Stay Which populations groups? Where from and where to? 2. Who moves away? And why? What are the groups’ causes, motives, decision criteria? 3. Primary and secondary effects in the different areas? 4. What are the levers and strategies for influencing the changes and effects? What regional strategies are particularly relevant for rural and suburban areas? Arndt Ruther-Mehlis Weeber Küpfer
  • 5. Migration balances across age-groups and cities -496 75 and more -53 -203 70 – u. 75 -18 -392 65 – u. 70 -37 -385 60 – u. 65 -30 -229 55 – u. 60 -22 -139 50 – u. 55 -11 -203 45 – u. 50 -3 -325 40 – u. 45 -29 -519 35 – u. 40 -58 Stadt Stuttgart -243 30 – u. 35 -76 Stadt Ulm 1840 25 – u. 30 65 (565.950) 2297 21 – u. 25 399 (122.087) 768 20 – u. 21 167 711 18 – u. 20 165 75 15 – u. 18 5 -73 10 – u. 15 -9 -152 6 – u. 10 -28 -55 5 –u. 6 0 -410 1 – u. 5 -87 Weeber based -47 u. 1 -2 on Statistisches 2000 -1000 0 1000 2000 3000 300 -100 100 300 500 Landesamt, 11 75 and more 23 2010 1 70 – u. 75 2 0 65 – u. 70 -1 -4 60 – u. 65 0 -5 55 – u. 60 0 4 50 – u. 55 -1 4 45 – u. 50 0 0 40 – u. 45 6 -5 35 – u. 40 -1 18 30 – u. 35 2 Stadt Nagold -28 -22 25 – u. 30 -10 5 Stadt Beuren 21 – u. 25 (21.756) -5 0 20 – u. 21 -1 1 (3.641) 18 – u. 20 3 15 – u. 18 0 5 10 – u. 15 1 1 1 -3 6 – u. 10 Arndt 5 –u. 6 1 Ruther-Mehlis -1 1 0 1 – u. 5 0 Weeber u. 1 Küpfer -50 -30 -10 10 30 50 -20 -10 0 10 20 30 40
  • 6. Brain Exchange and Demographic Change • Understanding the reasons, sources, future extent and impacts of regional migration on the demographic change needs knowledge about – the skill-composition of migratory flows – the duration of migration – interactions between skill-composition an duration of migration – inter-regional and inter-national migratory flows – patterns of commuting • Empirical identification problem lack of data on the semi-aggregated and micro level • Possible solutions – Estimation techniques – Existing micro data Arndt – Using existing / establishing own surveys Ruther-Mehlis so far: certain groups SHARE, GSOEP, student and alumni data Weeber Küpfer
  • 7. Stylized facts: Regions in a Region • Heterogeneity of – top-destination countries, – brain drain and – border effects when the skill composition is accounted for Source: Arndt, Arndt Christensen, Ruther-Mehlis Weeber Gurka (2010) Küpfer
  • 8. Summary and Outlook • Demographic change affects rural and suburban areas differently! – Young people have to leave these areas for higher education – Simultaneously higher educated young people do not find an adequate job in rural areas and some suburban areas – Matching problems on the labor market • Follow Up – What are the driving forces behind these processes? – Interactions between age groups, skill-levels, duration and stickyness – Scope for regional development strategies regarding infrastructure and education? Arndt Ruther-Mehlis Weeber Küpfer
  • 10. Change of age-groups 2010 to 2030 – federal state Baden-Württemberg population projection Statistisches Landesamtes 250000 Kinder Jugendl., Junge im Ältere im 200000 -219265 Junge Erwerbsalter, Erwerbsalter, 150000 Erw. Aufbauphase Konsolidierungsp. -263153 -142068 -600514 100000 50000 0 0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 ab 90 -50000 -100000 -150000 -200000 Junge Alte Hochaltrige -250000 +499704 +354059 Arndt Ruther-Mehlis Weeber Source: Weeber+Partner; Statistisches Landesamt Baden-Württemberg Küpfer