Natural Resource Economics
Analysis, Theory, and Applications
Published on 30. January 2020
Book
Hardback
360 pages
978-1-108-49933-0 (ISBN)
Description
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.
Reviews / Votes
'Natural Resource Economics is one of the rare books in resource economics that combines theory and applications, but also the mathematical tools to apply the theory to real world problems. It provides solid coverage of the theory of nonrenewable and renewable resources while focusing on specific applications - for example, the economics of antibiotics - which are becoming increasingly important. Overall, this is a book which would be an invaluable asset not only to graduate students but also to experienced researchers in resource economics.' Anastasios Xepapadeas, Athens University of Economics and Business, and University of Bologna 'Natural resource economics stagnated, even with growing awareness of climate change and sustainability. Conrad and Rondeau provide the perfect update, with all of the basic tools for building one's own model, state-of-the-art coverage of exhaustible and renewable resources, and important applications for emerging problems of pest control, antibiotics, and wildlife.' Don Fullerton, University of Illinois, Urbana-Champaign 'Natural Resource Economics presents the theory behind resource economics with an elegant mathematical presentation that should be very appealing to advanced students. Their handling of dynamic modeling and application of that theory to several different resource topics is particularly impressive.' Robert Mendelsohn, Yale UniversityMore details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Illustrations
Worked examples or Exercises; 18 Tables, black and white; 80 Line drawings, black and white
Dimensions
Height: 257 mm
Width: 178 mm
Thickness: 23 mm
Weight
816 gr
ISBN-13
978-1-108-49933-0 (9781108499330)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
01/2020
Cambridge University Press
€67.00
Shipment within 15-20 days
E-Book
01/2020
Cambridge University Press
€43.49
Available for download
Persons
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).
Content
1. Overview of fundamental concepts; 2. Difference and differential equations; 3. Dynamic optimization; 4. Resource economics with Mathematica; 5. Nonrenewable resources; 6. Bioeconomic modes of fisheries; 7. Optimal stopping rules; 8. The control of pests and invasive species; 9. Economics of antibiotics efficacy; 10. Wildlife, agriculture and labour; 11. Open access and optimal inventory.