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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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 |
work_keys_str_mv |
AT antonioangeloromano estimatingtheimpactoffeedintariffadoptionsimilaritiesanddivergencesamongcountriesthroughapropensityscorematchingmethod AT giuseppescandurra estimatingtheimpactoffeedintariffadoptionsimilaritiesanddivergencesamongcountriesthroughapropensityscorematchingmethod AT alfonsocarfora estimatingtheimpactoffeedintariffadoptionsimilaritiesanddivergencesamongcountriesthroughapropensityscorematchingmethod |
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