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Natural Resource Economics: Notes and Problems by Jon M. Conrad

In this book, Jon Conrad and Colin Clark develop the theory of resource economics. To begin, they provide an introduction to the required techniques of dynamic optimization. By working through the problems at the end of each chapter, students will learn the techniques to be used in empirical studies of natural resource systems.

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Item	167012415728
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Condition	Brand New
EAN	9780521337694
UPC	9780521337694
ISBN	9780521337694
Book Title	Natural Resource Economics: Notes and Problems by
Subject Area	Nature, Business & Economics
Publication Name	Natural Resource Economics : Notes and Problems
Publisher	Cambridge University Press
Item Length	9 in
Subject	Environmental Economics, Natural Resources
Publication Year	1987
Type	Textbook
Format	Trade Paperback
Language	English
Item Height	0.6 in
Author	Colin Whitcomb Clark, Jon M. Conrad
Item Weight	12.7 Oz
Item Width	6 in
Number of Pages	244 Pages

In this book, Jon Conrad and Colin Clark develop the theory of resource economics. To begin, they provide an introduction to the required techniques of dynamic optimization. Throughout the book they build the reader's understanding with many fully-worked problems and numerical examples. The authors have written this text in the belief that the theory and concepts of resource are more quickly learned, more effectively made operational, and more truly understood if the reader is exposed to carefully explained numerical examples. By working through the problems at the end of each chapter, students will learn the techniques to be used in empirical studies of natural resource systems. The first chapter provides an introduction to optimization, including constrained optimization, dynamic allocation problems, dynamic programming, continuous time problems, and the maximum principle, and a discussion of various numerical and graphical techniques. The remaining chapters deal in depth with the economics of renewable resources, nonrenewable resources, with environmental management and with stochastic resource models.