This paper analyzes different policies that may promote the transition to sustainability, with a particular focus on the energy sector. We present a dynamic simulation model where three different strategies for sustainability are identified: reduction in GHG emissions, improvements in energy efficiency and the development of the renewable energy sector. Our aim is to evaluate the dynamics that those strategies may produce in the economy, looking at different performance indicators: rate of growth, unemployment, fiscal position, GHG emission, and transition to renewable energy sources. © Springer-Verlag Berlin Heidelberg 2014.
|Titolo della pubblicazione ospite||Information Technology and Open Source: Applications for Education, Innovation, and Sustainability|
|Numero di pagine||8|
|Stato di pubblicazione||Published - 2014|
|Nome||LECTURE NOTES IN ARTIFICIAL INTELLIGENCE|
- Theoretical Computer Science