Institutional Repository
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/8845A0CD-A5F8-4606-86A4-07CEB3C37893 | - |
| Identifier | https://doi.org/10.1016/j.renene.2017.12.057 | - |
| Identifier | https://www.sciencedirect.com/science/article/pii/S0960148117312612 | - |
| Language | en | - |
| Extent | 9 pages | en |
| Title | Renewable energy sources policies in a Bayesian DSGE model | en |
| Creator | Argentiero Amedeo | en |
| Creator | Bollino Carlo Andrea | en |
| Creator | Micheli Silvia | en |
| Creator | Zopounidis Konstantinos | en |
| Creator | Ζοπουνιδης Κωνσταντινος | el |
| Publisher | Elsevier | en |
| Content Summary | Environmental policy measures to reduce greenhouse gases emission to mitigate climate change are common practice in many developed countries, encompassing both technology-push measures and demand-pull measures. The effectiveness of such policies continues to need investigation, especially when shortsighted measures lead to suboptimal investments in the absence of a credible government commitment. The aim of this paper is to assess the effectiveness of a comprehensive strategy for renewable energy sources in a dynamic stochastic general equilibrium model estimated for the Euro area using Bayesian estimation techniques, which includes carbon tax and subsidy measures. To this end, we compare the cost-effectiveness of technology-push measures and demand-pull measures. Our findings show that the environmental policy based on technology-push measures may produce better dynamic effects than demand-pull measures based on a subsidy policy of equal monetary amount. In fact, RES price parity is estimated to occur sooner by implementing technology-push measures than demand-pull measures. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2019-09-13 | - |
| Date of Publication | 2018 | - |
| Subject | Fossil fuels | en |
| Subject | Knowledge capital | en |
| Subject | Monetary subsidy | en |
| Subject | Renewable energy sources | en |
| Bibliographic Citation | A. Argentiero, C.A. Bollino, S. Micheli and C. Zopounidis, "Renewable energy sources policies in a Bayesian DSGE model," Renew. Energy, vol. 120, pp. 60-68, May 2018. doi: 10.1016/j.renene.2017.12.057 | en |
Copyright © DIAS 2013
