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Renewable Energy
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Probabilities to adopt feed in tariff conditioned to economic transition: A scenario analysis

Authors: ROMANO, Antonio; SCANDURRA, GIUSEPPE; Carfora, A.;

Probabilities to adopt feed in tariff conditioned to economic transition: A scenario analysis

Abstract

Abstract In this paper we analyze the factors behind the adoption of Feed–in Tariff and we estimate the probabilities that countries not yet adopted the FiT will propose it under different scenario hypotheses. We estimate a panel probit model to a set of 43 countries using annual data covering the period 1980–2008. We employ the binary time series of adoption of the Feed–in–Tariff as outcome variable and control for a set of economics, environmental and generation factors. Results demonstrate that adoption of FiT depends by various factors. Furthermore, we highlights that one of the main factors is the economic growth. The frequency with which the developed countries adopt the FiT is significantly higher than in developing countries and the probability to adopt FiT increases as income grows up.

Country
Italy
Keywords

Binary time series; Marginal effects; Probability forecasts

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    16
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Average
Average
Top 10%