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Books > Business & Economics > Industry & industrial studies > Primary industries > Forestry & related industries
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The Global Forest Products Model - Structure, Estimation, and Applications (Hardcover, New)
Loot Price: R1,524
Discovery Miles 15 240
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The Global Forest Products Model - Structure, Estimation, and Applications (Hardcover, New)
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The Global Forest Products Model (GFPM) book provides a complete
introduction to this widely applied computer model. The GFPM is a
dynamic economic equilibrium model that is used to predict
production, consumption, trade, and prices of 14 major forest
products in 180 interacting countries. The book thoroughly
documents the methods, data, and computer software of the model,
and demonstrates the model's usefulness in addressing international
economic and environmental issues.
The Global Forest Products Model is written by an international
multi-disciplinary team and is ideal for graduate students and
professionals in forestry, natural resource economics, and related
fields. It explains trends in world forest industries in the
simplest terms by explaining the economic theory underlying the
model. It describes six applications of the GFPM, three of which
were commissioned by the Food Agriculture of the United Nations,
the USDA Forest Service, and New Zealand Research.
The authors show how to apply the model to real issues such as the
effects of the Asian economic crisis on the forest sector, the
effects of eliminating tariffs on international trade and
production, and the international effects of national environmental
policies. They provide complete explanations on how to use the GFPM
software, prepare the data, make the forecasts, and summarize the
results with tables and graphs.
Comprehensive, and rigorous description of the world forestry
sector
Written by an international multi-disciplinary team
Thorough description of data and methods
In-depth applications to modern economic and policy issues
Detailed documentation of the computer software
Suitable for students, researchers, and decision makers
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