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An equilibrium model for the cement sector: EU-ETS analysis with power contracts.
- Source :
-
Annals of Operations Research . Aug2017, Vol. 255 Issue 1/2, p63-93. 31p. - Publication Year :
- 2017
-
Abstract
- The gradual relocation of part of the energy-intensive industries (EIIs) outside of Europe is one of the possible consequences of the combination of emission charges and higher electricity prices entailed by the EU-Emission Trading System (EU-ETS). The geographical distribution of cement plants is a relevant factor in relocation decisions because cement sector is characterized by high transportation costs. In order to mitigate this effect, EIIs have asked for CO $$_2$$ allowance grandfathering and long-term power contracts whereby they would be supplied from dedicated power capacities at a lower price. We model this situation on a prototype cement international market calibrated on ETS regulated and unregulated countries, with a particular focus on the Italian market. The analysis is based on an oligopolistic partial equilibrium model with a detailed technological representation of the whole production process. The model is a Generalized Nash game that accounts for the interactions of cement companies. In particular, we investigate the role played by the transportation costs in the clinker/cement production relocation and evaluates the effectiveness of CO $$_2$$ allowance grandfathering and of the application of long-term power contracts in mitigating this phenomenon. To this aim, we conduct empirical experiments taking into account different transportation costs and progressively higher CO $$_2$$ allowance prices with and without long-term contracts. Our results show that the European and Italian cement markets are affected by the EU-ETS and react by importing clinker from unregulated regions. Both allowance grandfathering and long-term power contracts only partially mitigate this relocation phenomenon. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02545330
- Volume :
- 255
- Issue :
- 1/2
- Database :
- Academic Search Index
- Journal :
- Annals of Operations Research
- Publication Type :
- Academic Journal
- Accession number :
- 124316235
- Full Text :
- https://doi.org/10.1007/s10479-016-2200-x