Optimal control theory is employed to characterize the socially optimal trajectory of the royalty per channel and the number of royalty-paying users of state-owned spectrum for broadcasting. The spectrum royalty is set by an omniscient public planner to maximize the sum of the discounted...

Locust swarms hit subsistence-staple-crop-growing households at random and are not privately controllable. A regional aerial-spraying scheme that supports these households’ livelihood at the least cost is proposed. The properties of this scheme are analysed and two steady states are...

The objective of this paper is to provide an introduction to the economics of controlling the stock of carbon-dioxide in the atmosphere. The paper starts with a brief summary of the arguments against a wait-and-see strategy and in favour of controlling carbon emissions. It then provides a basic...

A rule for setting a tax on carbon emissions to limit their atmospheric stock to a predetermined level is developed for a world inhabited by uncoordinated, myopic, expected utility maximizing agents. In all locations, the mean of the marginal product of the carbon emitting input diminishes and...

This paper uses optimal control theory to derive a desirable trajectory of the number of royalties-paying users of state-owned spectrum for broadcasting. The spectrum royalties are set by the public planner to maximize the consumers’ utilities over an infinite planning horizon. The...

This paper provides a utility-based definition of binge drinking and examines the compatibility of this phenomenon with rational decision making. Prohibition of young people’s consumption of alcohol is frequently violated with binge-drinking in groups. The analysis considers the roles of...

Ramsey's model is extended to three possible scenarios of conflicts in dual-population lands: partition, federation and civil war. The federally utility-maximizing consumption-growth rate in a strictly political federation might be lower than that under partition for the wealthier and more...