The literature on environmental R&D frequently studies innovation as a two-stage process, with a single R&D event leading from a conventional polluting technology to a perfectly clean backstop. We allow for uncertainty in innovation in that the new technology may turn out to generate a new...

We study the optimal R&D trajectory in a setting where new technologies are never perfect backstops in the sense that there is no perfectly clean technology that eventually solves the pollution problem once and for all. New technologies have stings attached, i.e. each emits a specific stock...

Most real world emission permit schemes are in effect hybrid instruments that feature both quantity and price controls. While the effects of price bounds are well understood for issues such as uncertain abatement costs it has not been investigated how such bounds affect time-consistency of...

A meta-analysis of studies valuing urban greenspace in the UK is undertaken to yield spatially sensitive marginal value functions. A geographical information system (GIS) is used to apply these functions to spatial data detailing the location of such greenspace resources in five British cities....

We show that for a broad class of technologies the relationship between policy stringency and the rate of technology adoption is inverted U-shaped. This happens when the marginal abatement cost (MAC) curves of conventional and new technologies intersect, which invariably occurs when emissions...

McCallum (1995, American Economic Review Papers and Proceedings 85 (2), 207-211) conjectures that delegation merely relocates the commitment problem but does not solve it. This holds if optimal ex-ante policies do not change if additional information becomes available. However, with a...