Fr. 136.00

Timber Supply, Land Allocation, and Economic Efficiency

English · Hardback

Shipping usually within 1 to 3 weeks (not available at short notice)

Description

Read more

Zusatztext 'Hyde's book explains some of the economic theory which is relevant for modeling long run timber supply and the optimal allocation of forest land to timber production and to other uses! principally recreation. He applies this analysis to two case studies from the important Douglas fir region (roughly the area of Oregon and Washington west of the Cascade crest) which produces about one quarter of the nation's softwood timber...the book is well written. Hyde's prose is clear! and his style is accessible...used as a text in my graduate course in natural resource economics; the book was given consistently good reviews. Any economist concerned with timber supply and the management of public lands should read [this book].'Journal of Economic Literature'Hyde applies economic efficiency criteria to the management of forests! with an illustrative empirical case study of the Douglas fir forests of the Pacific Northwest... Highly recommended for graduate and undergraduate students. The index is excellent and includes abbreviations! which is a boon to the reader.'Choice Informationen zum Autor Hyde, William F. Klappentext First Published in 2011. Routledge is an imprint of Taylor & Francis, an informa company. Zusammenfassung "Timber Supply, Land Allocation, and Economic Efficiency". Inhaltsverzeichnis Chapter 1 Introduction; Chapter 2 Allowable Cut; Chapter 3 The Economics of Timber Production; Chapter 4 Timber Supply; Chapter 5 The Douglas-fir Region: A Case Study; Chapter 6 French Pete: A Case Study; Chapter 7 Summary, Conclusions, Policy Implications;

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.