ET2050 The SASI Model - Klaus Spiekermann and Michael Wegener ET2050 Project Group Meeting, Barcelona, 19-21 October 2011
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ET2050 The SASI Model Klaus Spiekermann and Michael Wegener ET2050 Project Group Meeting, Barcelona, 19-21 October 2011
The SASI Model 2
The SASI model There are three methods to model the impacts of policies on regional economic development: • Multiplier effects of infrastructure invest- ments (Aschauer, 1993) • Regional production functions incorporating infrastructure as production factor ASI (Jochimsen, 1966; Biehl, 1986, 1991) S • Interregional trade flows as a function of interregional transport costs (Peschel, 1981; Bröcker, 1995) and input-output linkages (Echenique, 1990) and economies of scale (Krugman, Venables,1995) 3
The SASI model The SASI model is a recursive-dynamic simulation model of socio-economic development of regions in Europe under assumptions about • European economic development and external net migration • European/national regional subsidies (EFRE, CAP) and infrastructure policies (TEN-T) The SASI model differs from other regional economic models by modelling not only production (the demand side of regional labour markets) but also population (the supply side of labour markets). 4
Regional production function In state-of-the-art models of regional development based on production functions the classic production factors land, labour and capital are replaced by location factors, such as: • Economic structure • Productivity • Accessibility • Labour supply • Services • Settlement structure • Research and development • Education • Quality of life 5
Regional production function Extended production function: Land Accessibility α β γ δ Production Qi = Li Ri K i Ai ... Others Labour Capital where Ai is potential accessibility: Destinations Travel cost between in region j regions i and j Ai = ∑ W j exp ( − β c ij ) Accessibility of region i j 6
SASI model Transport policy Production Migration Accessibility function function GDP Income Population Employment Unemploy- Labour ment force 7
Regions SASI model 8
TEN-T priority projects
TEN and TINA projects
Multimodal accessibility 1981 1986 1996 1991 2001 2006 2011 2016 2021 2026 2031 11
The AlpenCors Project: a Regional Application 12
The AlpenCorS project (2004-2005) The Interreg III B programme "Alpine Space" (2000-2006) aimed at developing a concept for economic and spatial development in the pan- European Corridor V between France, Italy, Slovenia and Austria. The project AlpenCorS ("Alpen Corridor South") focused on the central segment of the corridors south of the Alps. The SASI model was to assess the effects of the intersection with Corridor I, the Brenner Corridor. 13
GDP per capita (EU27+2 = 100) Scenario 000 2021 Reference Scenario Strasbourg • Wien • München • • Zürich • Bolzano • Trento • Ljubljana • Lyon • Milano • Venezia • Torino 14
Accessibility road/rail/air travel Scenario 000 AS1 v. 000 2021 Reference Brenner tunnel Scenario effect Strasbourg •• Strasbourg Wien •• Wien München •• München •• Zürich Zürich •• Bolzano Bolzano •• Trento Trento •• Ljubljana Ljubljana • Lyon •• Milano Milano •• Venezia Venezia •• Torino Torino 15
GDP per capita Accessibility (EU27+2 road freight= 100) Scenario AS1 v. 000 2021 Brenner tunnel effect Strasbourg • Wien • München • • Zürich • Bolzano • Trento • Ljubljana • Lyon • Milano • Venezia • Torino 16
The STEPs Project: a European Application 17
The STEPs project (2004-2006) The EU 6th RTD Framework project STEPs (Scenarios for the Transport System and Energy Supply and their Potential Effects) developed and assessed possible scenarios for the EU transport system and energy supply of the future. In the project five urban/regional models were applied to forecast the long-term economic, social and environmental impacts of different scenarios of fuel price increases and different combinations of infrastructure, technology and demand regulation policies. 18
STEPs Scenarios The scenarios combined three rates of energy price increases with three sets of policies: 2030 2030 2030 Fuel 1.60 €* price3.33 increase €* 6.80 €* +1% p.a. +4% p.a. +7% p.a. Do-nothing A-1 B-1 C-1 Business as usual A0 B0 C0 Infrastructure & technology A1 B1 C1 2030 2030 2030 Demand regulation A23.35 €* B26.95 €* C2 23.25 €* All policies A3 B3 C3 * € of 2008 per litre A-1 Reference Scenario 19
European policy scenarios A1-C1 Infrastructure and technology - Petrol/Diesel per km (down to -4 % p.a.) - Alternative vehicles/fuels (up to 33 %) - European rail speed (up to +2 % p.a.) - Regional rail speed (up to +1.7 % p.a.) - Rail freight speed (up to +2 % p.a.) A2-C2 Demand regulation - Fuel tax (up to +5 % p.a.) - Kerosene tax (up to 200 % of petrol tax) - Road pricing (up to +10 % p.a.) - Public transport fares (down to -1.7 % p.a.) - Car/lorry cost per km (up to +3 % p.a.) - Rail freight cost (down to -1.5 % p.a.) A3-C3 All policies 20
Accessibility road/rail/air (million) 21
Scenario A-1 A-1 Accessibility road/rail/air travel (million) in year 2031 180 - 200 160 - 180 140 - 160 120 - 140 100 - 120 80 - 100 60- 80 40 - 60 20 - 40 0 - 20 22
Scenario A1 Accessibility road/rail/air travel Difference from ScenarioA-1 2031 (%) 40 - 50 30 - 40 20 - 30 10 - 20 0- 10 -10 - 0 -20 - -10 -30 - -20 -40 - -30 -50 - -40 23
Scenario B1 Accessibility road/rail/air travel Difference from ScenarioA-1 2031 (%) 40 - 50 30 - 40 20 - 30 10 - 20 0- 10 -10 - 0 -20 - -10 -30 - -20 -40 - -30 -50 - -40 24
Scenario C1 Accessibility road/rail/air travel Difference from ScenarioA-1 2031 (%) 40 - 50 30 - 40 20 - 30 10 - 20 0- 10 -10 - 0 -20 - -10 -30 - -20 -40 - -30 -50 - -40 25
Scenario A-1 GDP per capita 2031 (€ of 2005) 54 - 60 48 - 54 42 - 48 36 - 42 30 - 36 24 - 30 18- 24 12 - 18 6- 12 0- 6 26
Scenario A1 GDP per capita Difference from Scenario A-1 2031 (%) 8- 10 6- 8 4- 6 2- 4 0- 2 -2 - 0 -4 - -2 -6 - -4 -8 - -6 -10 - -8 27
Scenario B1 GDP per capita Difference from Scenario A-1 2031 (%) 8- 10 6- 8 4- 6 2- 4 0- 2 -2 - 0 -4 - -2 -6 - -4 -8 - -6 -10 - -8 28
Scenario C1 GDP per capita Difference from Scenario A-1 2031 (%) 8- 10 6- 8 4- 6 2- 4 0- 2 -2 - 0 -4 - -2 -6 - -4 -8 - -6 -10 - -8 29
The SASI Model in ET2050 30
Ongoing model developments • Extension of forecasting horizon from 2030 to 2050 • Conversion of the region system to the 2006 NUTS-3 classification • Higher spatial resolution in Croatia and other Western Balkan countries • Simple model of long-distance passenger and freight transport • Calculation of environmental indicators as energy consumption and CO2 emissions of transport 31
Questions answered How will European and national • subsidies (EFRE, CAP) • infrastructure investments (TEN-T) • rising energy costs affect • regional economic development, • regional population/migration, • interregional travel and goods flows, • energy consumption/CO2 emissions, • territorial cohesion and polycentricity? 32
Baseline Scenario The Baseline Scenario for 2030 and 2050 will be based on BAU assumptions about • European economic development and EU net migration, • European/national regional subsidies and infrastructure policies and will produce forecasts of: • regional economic development, • regional population/migration, • interregional travel and goods flows, • energy consumption/CO2 emissions, • territorial cohesion and polycentricity 33
Scenario "Europe of Cities" The exploratory scenario "Europe of Cities" will differ from the baseline scenario by assumptions about European/national regional subsidies and infrastructure policies that support the concen- tration of economic activities and population in the largest metropolitan areas and will forecast: • European economic development, • regional economic development, • regional population/migration, • interregional travel and goods flows, • energy consumption/CO2 emissions, • territorial cohesion and polycentricity 34
Scenario "Europe of Regions" The exploratory scenario "Europe of Regions" will differ from the baseline scenario by assumptions about European/national regional subsidies and infrastructure policies that support the concen- tration of economic activities and population in the small towns and rural regions and will forecast: • European economic development, • regional economic development, • regional population/migration, • interregional travel and goods flows, • energy consumption/CO2 emissions, • territorial cohesion and polycentricity 35
Scenario "Europe of Flows" The exploratory scenario "Europe of Flows" will differ from the baseline scenario by assumptions about European/national regional subsidies and infrastructure policies that support the concen- tration of economic activities and population in the major transport corridors and will forecast: • European economic development, • regional economic development, • regional population/migration, • interregional travel and goods flows, • energy consumption/CO2 emissions, • territorial cohesion and polycentricity 36
Results (1) • Population indicators: Population by age, sex, nationality, labour force participation, education, net migration and net commuting by NUTS-3 region per year • Economic indicators: GDP by industry, by worker, by capita, employment by industry and unemploy-ment by NUTS-3 region per year • Accessibility indicators: Accessibility by mode (travel/goods) by NUTS-3 region per year 37
Results (2) • Transport indicators: Travel and goods flows between NUTS-3 regions by mode per year. • Environmental indictors: Energy consumption and CO2 emissions of transport between NUTS-3 region per year. • Cohesion indicators: Cohesion and polycentricity indicators of accessibility and GDP per capita of NUTS-3 regions per year 38
Typical graphical output • Time-series diagrams - by country or macro region - by scenario • Maps - indicators by NUTS-3 region by year - indicator differences between scenarios by NUTS-3 region per year • 3D surfaces - indicators by NUTS-3 region per year - differences between scenarios by NUTS-3 region per year 39
More information Wegener, M., Bökemann, D. (1998): SASI Model: Model Structure. Berichte aus dem Institut für Raumplanung 40. Dortmund: Institute of Spatial Planning, University of Dortmund. http://www.raumplanung.uni-dortmund.de/irpud/ fileadmin/irpud/content/documents/publications/ber40.pdf. Wegener, M. (2008): SASI Model Description. Working Paper 08/01. Dortmund: Spiekermann & Wegener Stadt- und Regionalforschung. http://www.spiekermann-wegener. de/mod/pdf/AP_0801.pdf. Fiorello, D., Huismans, G., López, E., Marques, C., Steen- berghen, T., Wegener, M., Zografos, G. (2006): Transport Strategies under the Scarcity of Energy Supply. Final Report of the EU project STEPs – Scenarios for the Transport and Energy Supply and their Potential Effects, edited by A. Monzon and A. Nuijten. Den Haag: Buck Consultants International. http://www.steps-eu.com/reports.htm. 40
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