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

Antonio Angelo Romano, Giuseppe Scandurra and Alfonso Carfora ()
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Antonio Angelo Romano: Department of Management Studies and Quantitative Methods, University of Naple “Parthenope”, Via Generale Parisi, 13 Naples, Italy
Giuseppe Scandurra: Department of Management Studies and Quantitative Methods, University of Naple “Parthenope”, Via Generale Parisi, 13 Naples, Italy

International Journal of Energy Economics and Policy, 2016, vol. 6, issue 2, 144-151

Abstract: Feed-in tariff (FiT) 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 FiT 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

Keywords: Feed in Tariff; Renewable Energy; Propensity Score Matching; Energy Investments (search for similar items in EconPapers)
JEL-codes: C23 C38 Q42 Q48 (search for similar items in EconPapers)
Date: 2016
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