Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
EN  |  EL

Αναζήτηση

Πλοήγηση

Ο Χώρος μου

Renewable energy sources policies in a Bayesian DSGE model

Argentiero Amedeo, Bollino Carlo Andrea, Micheli Silvia, Zopounidis Konstantinos

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/8845A0CD-A5F8-4606-86A4-07CEB3C37893-
Αναγνωριστικόhttps://doi.org/10.1016/j.renene.2017.12.057-
Αναγνωριστικόhttps://www.sciencedirect.com/science/article/pii/S0960148117312612-
Γλώσσαen-
Μέγεθος9 pagesen
ΤίτλοςRenewable energy sources policies in a Bayesian DSGE modelen
ΔημιουργόςArgentiero Amedeoen
ΔημιουργόςBollino Carlo Andreaen
ΔημιουργόςMicheli Silviaen
ΔημιουργόςZopounidis Konstantinosen
ΔημιουργόςΖοπουνιδης Κωνσταντινοςel
ΕκδότηςElsevieren
ΠερίληψηEnvironmental 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
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2019-09-13-
Ημερομηνία Δημοσίευσης2018-
Θεματική ΚατηγορίαFossil fuelsen
Θεματική ΚατηγορίαKnowledge capitalen
Θεματική ΚατηγορίαMonetary subsidyen
Θεματική ΚατηγορίαRenewable energy sourcesen
Βιβλιογραφική ΑναφοράA. 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.2017.12.057en

Υπηρεσίες

Στατιστικά