Environmental and Natural Resource MathematicsThis volume is the proceedings of the AMS Short Course held in Eugene, Oregon in August 1984. The discussions explored the fascinating role that mathematicians and mathematically trained scientists have played throughout the development of the discipline of natural resource modeling, and in economic theory in general. Also discussed were ways in which concepts and techniques of modeling might best be incorporated into graduate and undergraduate mathematics education. The term ``natural resources'' should be interpreted broadly, encompassing air and water resources, land and soil, minerals and oil, energy resources, and such biological resources as fisheries, agricultural crops, forests, and wildlife. The objective of the Short Course, and of this volume, is to demonstrate that, despite the great diversity of kinds of natural resources, a coherent theory has developed concerning the efficient and conservative management of resources, and that this theory has a substantial mathematical component. |
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Contents
Economic incentives for pollution control | 19 |
a classical issue in the economics of exhaustible | 33 |
Applying abstract control theory to concrete models | 55 |
Copyright | |
2 other sections not shown
Common terms and phrases
analysis applied assume assumptions basic benefits capital changes Chichilnisky Clark complete compute consider consumption continuous contract cost course damages defined demand denote depends determine discount discussion dynamics economics Edited effects emissions equation equilibrium example existence exogenous exports fact factor Figure firms function give given implies important income increases industrial insect interest investment known leads loan mathematicians mathematics maximize maximum means method natural necessary conditions North observable obtain optimal optimal control parameters particular pest pest management pesticide pollution population positive possible present principle problem production profit question real wages region relation relative requires resistance resource role sector simple solution solve South supplies techniques Theorem theory trade transfer uncertainty University variables VOLUME