Estimating the Impact of Feed-in Tariff Adoption: Similarities and Divergences among Countries through a Propensity-score Matching Method

Feed – in tariff is one of the most popular policy measures for supporting the generation from renewable energy sources. In this paper we individuate the determinants driving a country’s choice of adopting Feed – in Tariff and investigate the reasons at the bottom of their distinctions in the choice...

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Main Authors: Antonio Angelo Romano, Giuseppe Scandurra, Alfonso Carfora
Format: Article
Language:English
Published: EconJournals 2016-06-01
Series:International Journal of Energy Economics and Policy
Subjects:
Online Access:https://dergipark.org.tr/tr/pub/ijeeep/issue/31917/351067?publisher=http-www-cag-edu-tr-ilhan-ozturk
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spelling doaj-fccb11e34b3148d3be57e08227b33deb2020-11-25T03:56:54ZengEconJournalsInternational Journal of Energy Economics and Policy2146-45532016-06-01621441511032Estimating the Impact of Feed-in Tariff Adoption: Similarities and Divergences among Countries through a Propensity-score Matching MethodAntonio Angelo RomanoGiuseppe ScandurraAlfonso CarforaFeed – in tariff is one of the most popular policy measures for supporting the generation from renewable energy sources. In this paper we individuate the determinants driving a country’s choice of adopting Feed – in Tariff and investigate the reasons at the bottom of their distinctions in the choice of energy policies. The novelty of the paper relates to the methodology used to obtain the second aim that is based on the comparison and cross-checking (matching) between national heterogeneous data of several nature among which the country-effects drawn from a panel analysis conducted, at national level, on a dataset of 54 countries. The results allow us to identify some specific features related to the energy choices of the countries.https://dergipark.org.tr/tr/pub/ijeeep/issue/31917/351067?publisher=http-www-cag-edu-tr-ilhan-ozturkfeed in tariff renewable energy propensity score matching energy investments
collection DOAJ
language English
format Article
sources DOAJ
author Antonio Angelo Romano
Giuseppe Scandurra
Alfonso Carfora
spellingShingle Antonio Angelo Romano
Giuseppe Scandurra
Alfonso Carfora
Estimating the Impact of Feed-in Tariff Adoption: Similarities and Divergences among Countries through a Propensity-score Matching Method
International Journal of Energy Economics and Policy
feed in tariff
renewable energy
propensity score matching
energy investments
author_facet Antonio Angelo Romano
Giuseppe Scandurra
Alfonso Carfora
author_sort Antonio Angelo Romano
title Estimating the Impact of Feed-in Tariff Adoption: Similarities and Divergences among Countries through a Propensity-score Matching Method
title_short Estimating the Impact of Feed-in Tariff Adoption: Similarities and Divergences among Countries through a Propensity-score Matching Method
title_full Estimating the Impact of Feed-in Tariff Adoption: Similarities and Divergences among Countries through a Propensity-score Matching Method
title_fullStr Estimating the Impact of Feed-in Tariff Adoption: Similarities and Divergences among Countries through a Propensity-score Matching Method
title_full_unstemmed Estimating the Impact of Feed-in Tariff Adoption: Similarities and Divergences among Countries through a Propensity-score Matching Method
title_sort estimating the impact of feed-in tariff adoption: similarities and divergences among countries through a propensity-score matching method
publisher EconJournals
series International Journal of Energy Economics and Policy
issn 2146-4553
publishDate 2016-06-01
description Feed – in tariff is one of the most popular policy measures for supporting the generation from renewable energy sources. In this paper we individuate the determinants driving a country’s choice of adopting Feed – in Tariff and investigate the reasons at the bottom of their distinctions in the choice of energy policies. The novelty of the paper relates to the methodology used to obtain the second aim that is based on the comparison and cross-checking (matching) between national heterogeneous data of several nature among which the country-effects drawn from a panel analysis conducted, at national level, on a dataset of 54 countries. The results allow us to identify some specific features related to the energy choices of the countries.
topic feed in tariff
renewable energy
propensity score matching
energy investments
url https://dergipark.org.tr/tr/pub/ijeeep/issue/31917/351067?publisher=http-www-cag-edu-tr-ilhan-ozturk
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