Renewable Energy Investments, Support Schemes and the Dirty Option

ABSTRACT In a real options framework, we analyze the behavior of a large energy producer who can invest in a portfolio of Renewable Energy Source (RES) and dirty energy source. Competitive fuel prices challenge the investments in RES. Given a budget constraint, the agent allocates the optimal capacities of both energy instalments and selects the optimal investment time. We use the model to compare the effectiveness of classical support schemes such as Feed‐in Tariffs or Green Certificate with respect to forms of taxation of dirty technology such as Carbon Taxes or Carbon Permits. This paper proposes a conceptual framework and qualitative analysis to understand which support system enhances the attractiveness of renewable energy investments.

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Publication Details

Journal
Applied Stochastic Models in Business and Industry
Published
2024-10-26
DOI
https://doi.org/10.1002/asmb.2901
Citations
1
Primary Topic
Climate Change Policy and Economics
Type
article
Field-Weighted Citation Impact
1.13
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article

Renewable Energy Investments, Support Schemes and the Dirty Option

Elena Iakimova, Domenico De Giovanni
1 citations
Applied Stochastic Models in Business and Industry
Climate Change Policy and Economics
1.13
article

Renewable Energy Investments, Support Schemes and the Dirty Option

Elena Iakimova, Domenico De Giovanni
article en
1 citations

Abstract

ABSTRACT In a real options framework, we analyze the behavior of a large energy producer who can invest in a portfolio of Renewable Energy Source (RES) and dirty energy source. Competitive fuel prices challenge the investments in RES. Given a budget constraint, the agent allocates the optimal capacities of both energy instalments and selects the optimal investment time. We use the model to compare the effectiveness of classical support schemes such as Feed‐in Tariffs or Green Certificate with respect to forms of taxation of dirty technology such as Carbon Taxes or Carbon Permits. This paper proposes a conceptual framework and qualitative analysis to understand which support system enhances the attractiveness of renewable energy investments.

Applied Stochastic Models in Business and IndustryVol. 40(6)
University of Calabria (IT)
Affordable and clean energy
Openalex Percentile: Top 11%
Climate Change Policy and Economics
1.13
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