Economic theory suggests that with a pollution externality and learning spillovers related to renewable energy technologies, the optimal climate policy mix includes an emissions policy and an output subsidy to the learning industry. Instead of output subsidies, feed-in tariffs are often...

We derive optimal subsidization of renewable energies in electricity markets. The analysis takes into account that capacity investment must be chosen under uncertainty about demand conditions and capacity availability, and that capacity as well as electricity generation may be sources of...

We study the performance under uncertainty of three renewable energy policy instruments: Tradable Renewable Quota (TRQ), Feed-In-Tariff (FIT), and Feed-In-Premium (FIP). We develop a stylized model of the electricity market, where renewables are characterized by a positive learning externality,...

The search for economically efficient policy instruments designed to promote the diffusion of renewable energy technologies in liberalized markets has led to the introduction of quota-based tradable 'green' certificate (TGC) schemes for renewable electricity. However, there is a debate about the...

We study the impact of learning by doing, learning spill-overs, and imperfect competition in a model with two types of electricity producers, an oligopolistic sector of polluting fossil-fuel utilities and a competitive fringe of non-polluting generators of electricity from renewable energy...

We develop a model with two types of electricity producers, fossil fuel utilities generating emissions, and suppliers of electricity from renewable resources such as wind energy. We account for the vertical structure of the wind-energy sector by considering wind-turbine producers engaged in...