Natural Resource Economics - Couverture souple

Conrad, Jon M.

 
9781108713375: Natural Resource Economics

Synopsis

Mathematical analysis is key to the modeling and management of natural resources. By presenting required mathematical methods, classic dynamic models for non-renewable and renewable resources, and by exploring several contemporary problems, this text provides a foundation for advanced research. Topics include seminal models in fishery, forestry and non-renewable resource management, as well as an extensive collection of contemporary applications that include the optimal transition from fossil fuels to clean energy, the optimal timing of interventions to save endangered species, pest control and the optimal management of antibiotic resistance. Deterministic and stochastic models in both discrete and continuous time are covered. The book encourages students to pursue a deeper understanding of the analytics of resource problems and to deploy numerical methods when analytical results prove intractable. The combination of analysis, theory and applications will launch the next generation of resource economists, while serving as a useful reference for established researchers.

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À propos des auteurs

Jon M. Conrad is Professor Emeritus in the Dyson School of Applied Economics and Management at Cornell University, New York. He is the author of Resource Economics, 2nd edition (Cambridge, 2010) and co-author of Natural Resource Economics: Notes and Problems (Cambridge, 1987).

Daniel Rondeau is Professor of Economics at the University of Victoria, Canada, with publications in leading environmental and resource economics journals including the Journal of Environmental Economics and Management, Environmental and Resource Economics, Resource and Energy Economics, Land Economics, Marine Resource Economics and the American Journal of Agricultural Economics.

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Autres éditions populaires du même titre

9781108499330: Natural Resource Economics: Analysis, Theory, and Applications

Edition présentée

ISBN 10 :  1108499333 ISBN 13 :  9781108499330
Editeur : Cambridge University Press, 2020
Couverture rigide