Resource Economics is a text for students with a background in calculus and intermediate microeconomics and a familiarity with the spreadsheet software Excel. The book covers basic concepts (Chapter 1), shows how to set up spreadsheets to solve simple dynamic allocation problems (Chapter 2), and presents economic models for fisheries, forestry, nonrenewable resources, and stock pollutants (Chapters 3–6). Chapter 7 examines the maximin utility criterion when the utility of a generation depends on consumption of a manufactured good, harvest from a renewable resource, and extraction from a nonrenewable resource. Within the text, numerical examples are posed and solved using Excel's Solver. Exercises are included at the end of each chapter. These problems help make concepts operational, develop economic intuition, and serve as a bridge to the study of real-world problems in resource management.
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Jon M. Conrad is Professor of Resource Economics in the Department of Applied Economics and Management at Cornell University. He taught at the University of Massachusetts, Amherst, from 1973 to 1977, joining the Cornell faculty in 1978. His research interests focus on the use of dynamic optimization techniques to manage natural resources and environmental quality. He has published articles in the Journal of Political Economy, the Quarterly Journal of Economics, the American Journal of Agricultural Economics, the Canadian Journal of Economics, Land Economics, Marine Resource Economics, Biomathematics, Ecological Economics, Natural Resource Modeling and the Journal of Environmental Economics and Management, where he served as an associate editor. He is coauthor, with Colin Clark, of the text Natural Resource Economics: Notes and Problems (Cambridge University Press, 1987) and past President of the Resource Modeling Association. Cambridge University Press published the first edition of Resource Economics in 1999.
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Etat : New. A text for students with a background in calculus and intermediate microeconomics and a familiarity with the spreadsheet software Excel. Num Pages: 300 pages, 31 b/w illus. 1 map 49 tables 20 exercises. BIC Classification: KCN. Category: (UU) Undergraduate. Dimension: 235 x 158 x 25. Weight in Grams: 61. . 2010. 2nd Edition. hardcover. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9780521874953
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Resource Economics is a text for students with a background in calculus and intermediate microeconomics and a familiarity with Excel. It covers basic concepts, shows how to set up spreadsheets to solve simple dynamic allocation problems, and presents econom. N° de réf. du vendeur 446951723
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Hardcover. Etat : new. Hardcover. Resource Economics is a text for students with a background in calculus and intermediate microeconomics and a familiarity with the spreadsheet software Excel. The book covers basic concepts (Chapter 1), shows how to set up spreadsheets to solve simple dynamic allocation problems (Chapter 2), and presents economic models for fisheries, forestry, nonrenewable resources, and stock pollutants (Chapters 36). Chapter 7 examines the maximin utility criterion when the utility of a generation depends on consumption of a manufactured good, harvest from a renewable resource, and extraction from a nonrenewable resource. Within the text, numerical examples are posed and solved using Excel's Solver. Exercises are included at the end of each chapter. These problems help make concepts operational, develop economic intuition, and serve as a bridge to the study of real-world problems in resource management. Resource Economics is a text for students with a background in calculus and intermediate microeconomics and a familiarity with Excel. It covers basic concepts, shows how to set up spreadsheets to solve simple dynamic allocation problems, and presents economic models for fisheries, forestry, nonrenewable resources, and stock pollutants. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780521874953
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