Click Here to Download: https://ouo.io/IlS1gn4 The Global Forest Products Model: Structure, Estimation, and Applications By: Buongiorno, Joseph; Zhu, Shushuai; Zhang, Dali; Turner, James; Tomberlin, David Publisher: Academic Press Print ISBN: 9780121413620, 0121413624 eText ISBN: 9780121413620, 9780080521527, 0080521525 Pages: 300 Format: PDF Available from $ 97.95 USD SKU 9780121413620 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
