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

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  • Romano, A.A.
  • Scandurra, G.
  • Carfora, A.

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.

Suggested Citation

  • Romano, A.A. & Scandurra, G. & Carfora, A., 2015. "Probabilities to adopt feed in tariff conditioned to economic transition: A scenario analysis," Renewable Energy, Elsevier, vol. 83(C), pages 988-997.
  • Handle: RePEc:eee:renene:v:83:y:2015:i:c:p:988-997
    DOI: 10.1016/j.renene.2015.05.035
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Carfora, Alfonso & Romano, Antonio A. & Ronghi, Monica & Scandurra, Giuseppe, 2017. "Renewable generation across Italian regions: Spillover effects and effectiveness of European Regional Fund," Energy Policy, Elsevier, vol. 102(C), pages 132-141.
    2. Romano, Antonio A. & Scandurra, Giuseppe & Carfora, Alfonso & Fodor, Mate, 2017. "Renewable investments: The impact of green policies in developing and developed countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 738-747.
    3. Alfonso Carfora & Monica Ronghi & Giuseppe Scandurra, 2017. "The effect of Climate Finance on Greenhouse Gas Emission: A Quantile Regression Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 185-199.
    4. Romano, Antonio A. & Scandurra, Giuseppe & Carfora, Alfonso & Pansini, Rosaria V., 2016. "Assessing the determinants of SIDS' pattern toward sustainability: A statistical analysis," Energy Policy, Elsevier, vol. 98(C), pages 688-699.
    5. Massimiliano Agovino & Antonio Garofalo & Antonio Angelo Romano & Giuseppe Scandurra, 2018. "Explanatory analysis of the key factors in an energy sustainability index," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(6), pages 2597-2632, November.
    6. Carfora, A. & Pansini, R.V. & Romano, A.A. & Scandurra, G., 2018. "Renewable energy development and green public policies complementarities: The case of developed and developing countries," Renewable Energy, Elsevier, vol. 115(C), pages 741-749.
    7. Cafora, Alfonso & Romano, Antonio Angelo & Ronghi, Monica & Giuseppe, Scandurra, 2017. "Substituting fossil energy sources: the role of the climate funds and effects on the economic growth," MPRA Paper 82373, University Library of Munich, Germany.

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