We propose a mixture model approach to identify locally optimal technologies and to dissect environmental productivity (output produced per unit of emission) into a technological and a managerial component. For a large sample of plants covered by the EU ETS, we find that the share of plants...

There is a large consensus that low levels of carbon price cannot provide adequate incentives to invest in cleaner technologies and abate emissions. Since carbon demand and price tend to decrease during recessions, economists and policy makers have proposed different types of price stabilizing...

In this paper we characterize the preferences of a pessimistic social planner concerned with the potential costs of extreme, low-probability climate events. This pessimistic attitude is represented by a recursive optimization criterion à la Hansen and Sargent (1995) that introduces...

In this paper we characterize the preferences of a pessimistic social planner concerned with the potential costs of extreme, low-probability climate events. This pessimistic attitude is represented by a recursive optimization criterion à la Hansen and Sargent (1995) that introduces...

We show how corrective taxation can improve the efficiency properties of tradable quotas systems affected by market power. Indeed, when only a subset of firms are price takers while the remaining firms enjoy market power, we show that, if the regulator sets an ad hoc taxation on firms' traded...

How could firms best reduce their environmental impact? Should they change technology? Or could they do better with what they already have? This paper shows that one size does not fit all. We employ a mixture model estimation to dissect environmental efficiency into a technology adoption...

In this paper we present a dynamic discrete-time model that allows to investigate the impact of risk-aversion in an oligopoly characterized by a homogeneous non-storable good, sticky prices and uncertainty. Our model nests the classical dynamic oligopoly model with sticky prices by Fershtman and...