In this paper, we analyze whether it is socially desirable that fines for exceeding pollution standards depend not only on the degree of non-compliance but also on the firm's level of investment in environmentally friendly technologies. For that purpose, we consider a partial equilibrium...

Despite the well-known static cost-inefficiency of uniform emission standards to control pollution, governments continue to use them in a variety of settings. In this paper, we show that inspection agencies can sometimes use their informational advantage to design monitoring strategies that...

Investment subsidies are widely used to induce adoption of new technologies that can lower the (marginal) cost of reducing emissions. To economize on these subsidies, governments would like to distinguish between firms that need to receive a subsidy to adopt a new technology, and firms that...

We investigate the features of optimal environmental policies composed of pollution standards and costly inspection processes, where fines for exceeding the standards depend both on the degree of transgression and the environmental technology that the firm uses to reduce the social impact of its...

Under quadratic transportation costs, the existence of the sequential first-locate-thenprice equilibrium in spatial competition is well known in the literature. In this paper, we find that the equilibrium may fail to exist under certain restrictions with respect to the location of firms and...

In this paper, we characterize optimal regulatory policies composed of pollution standards, probabilities of inspection and fines for non-compliance, in a context where both monitoring and sanctioning are socially costly, and penalties may include gravity and non-gravity components at the...

Concavity of transportation costs has been rarely considered in the linear model of product differentiation, although it seems a reasonable assumption in many contexts. In this paper, we extend the results by Gabszewicz and Thisse (1986) about the existence of the sequential...