Pregled bibliografske jedinice broj: 957316
Renewable Energy Consumption-Economic Growth Nexus: A Nonparametric Evidence for Developing, Graduated Developing and Developed European Union Countries
Renewable Energy Consumption-Economic Growth Nexus: A Nonparametric Evidence for Developing, Graduated Developing and Developed European Union Countries // Modelling Economic Growth: Issues and New Insights / Škare Marinko, Blažević Burić Sanja (ur.).
Pula: Sveučilište Jurja Dobrile u Puli, 2018. str. 181-212
CROSBI ID: 957316 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Renewable Energy Consumption-Economic Growth
Nexus: A Nonparametric Evidence for Developing,
Graduated Developing and Developed European Union
Countries
Autori
Rabar, Danijela
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Modelling Economic Growth: Issues and New Insights
Urednik/ci
Škare Marinko, Blažević Burić Sanja
Izdavač
Sveučilište Jurja Dobrile u Puli
Grad
Pula
Godina
2018
Raspon stranica
181-212
ISBN
978-953-7320-86-7
Ključne riječi
economic growth, renewable energy, (in)efficiency, European Union, data envelopment analysis, window analysis
Sažetak
This study empirically investigates the relationship between economic growth and renewable energy consumption within the data envelopment analysis (DEA) framework. The research spans the period from 1995 to 2012, and employs six energy and non-energy indicators based on which the relative efficiency of 28 European Union (EU) countries is assessed. The results imply a strong divergence both within and among the three subgroups of countries (developing, graduated developing and developed), also pointing to inefficiency sources and their magnitude. Renewable energy consumption appears as a major contributor to inefficiency. The findings should assist policy makers in their attempts to improve energy related decisions.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Ekonomija
Napomena
This work has been fully supported by the Croatian
Science Foundation under the project number 9481
Modelling Economic Growth - Advanced Sequencing
and Forecasting Algorithm. Any opinions, findings,
and conclusions or recommendations expressed in
this material are those of the author(s) and do
not necessarily reflect the views of Croatian
Science Foundation.
POVEZANOST RADA
Projekti:
IP-2013-11-9481 - Modeliranje ekonomskog rasta - napredno sekvenciranje i algoritam predviđanja (MEGASFORA) (Škare, Marinko, HRZZ - 2013-11) ( CroRIS)
Ustanove:
Sveučilište Jurja Dobrile u Puli
Profili:
Danijela Rabar
(autor)