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Entwicklung eines quantitativen Modells "Nachhaltiges Deutschland" – Band 1

Entwicklung eines quantitativen Modells "Nachhaltiges Deutschland" – Band 1

Band 1: Das D3-Modell
Developing a Quantitative Model "Sustainable Germany". Volume 1: the D3-model

For the Federal Environment Agency of Germany a consortium of Consideo, adelphi, Ecologic Institute, FEST and sociodimensions developed a quantitative simulation model to run scenarios on the potentials for a transition of society towards sustainability. The model explores the effects of a transition on the environment, climate change, use of resources, the economy, welfare, and happiness. The report is available online.

The results from this project are documented in four parts:

  1. The quantitative D3 model (D for Deutschland, 3 for society, economy and politics): The report describes the cause and effect model with its more than 4,000 factors and how it can be used. The Federal Environment Agency can directly use the model to alter and enhance it and to answer different questions.
  2. The simulation of potential transitions towards sustainability and their effects. The report also covers insights on the possibilities and limitations of the simulation of social systems.
  3. The simulation of the shift towards renewable energy (D3 EE model): The report describes an additional simulation model that looks more into the details of the use of renewable energy and its implications for the use of resources as well as its economic effects.
  4. The D3 simulation: The report describes a separate model that can be used as a simulation game to allow e.g. pupils to play the roles of citizens, politicians, or business -people and experience their interdependencies through the lock-in effect and the spillover effects as they are explained in this report at hand.

The D3 model can be used to generate findings on societal interactions in interplay with increasing technical efficiency, social innovations, eco-sufficiency approaches, and socio-economic effects (e.g. rich/poor, migration, aging societies). The goal was to use the "Sustainable Germany" model to better understand the dynamic  interaction between the different aspects of the three dimensions of sustainability "ecology", "economy" and "social system") within the planet’s carrying capacity and, in doing so, to advance our systematic understanding of sustainable development overall.

This report describes the D3 model.


Citation

Neumann, K.; Grimm, F.; Diefenbacher, H.; Hirschnitz-Garbers, M.; Langsdorf, S.; Schipperges, M.; Weiss, D. (2018). Entwicklung eines quantitativen Modells "Nachhaltiges Deutschland". Band 1: Das D3-Modell. Umwelbundesamt: Dessau-Roßlau.

Language
English, German
Author(s)
Kai Neumann, Franc Grimm (Consideo)
Hans Diefenbacher (Forschungsstätte der Evangelischen Studiengemeinschaft FEST)
Michael Schipperges (sociodimensions)
Daniel Weiss (adelphi research)
Funding
Publisher
Year
2018
ISSN
1862-4359
Dimension
58 pp.
Project ID
2541
Table of Contents

Abbildungsverzeichnis
Abkürzungsverzeichnis
Zusammenfassung
Summary
1 Das Projekt und seine Zielsetzung
2 Vorgehensweise bei der Modellierung
3 Aufbau des Modells
3.1 Soziale Milieus
3.2 Im D3-Modell berücksichtigte Verhaltensweisen
3.3 Die im D3-Modell berücksichtigten Wirtschaftsbereiche
3.4 Im D3-Modell berücksichtigte Auswirkungen auf Umwelt, Klimagase und Ressourcen
3.4.1 Abbildung von Bodenbelastungen im D3-Modell
3.4.2 Abbildung von Gewässerbelastungen im D3-Modell
3.4.3 Abbildung von Luftbelastungen im D3-Modell
3.4.4 Abbildung von Lärmbelastungen im D3-Modell
3.4.5 Abbildung der Emission von Klimagasen im D3-Modell
3.4.6 Abbildung der Auswirkungen auf Biodiversität im D3-Modell
3.4.7 Abbildung von Ressourceninanspruchnahme im D3-Modell
3.5 Im D3-Modell berücksichtigte Maßnahmen seitens der Politik
3.6 Im D3-Modell betrachtete Auswirkungen auf die Wohlfahrt (‘Quasi-NWI’)
3.7 Zufriedenheit
3.8 Veränderungen der Werte - die zentrale Dynamik
4 Stellhebel im D3 Modell
5 Systemgrenzen und Datenqualität
6 Fazit
7 Literatur

Keywords
Germany, system dynamic modelling