This text is a fully up to date study of the major issues facing forest conservation and the forestry industry taking into account developments at local, national and global levels. Series: Routledge Explorations in Environmental Economics. Num Pages: 160 pages, 20 black & white tables, 10 black & white line drawings. BIC Classification: KCN. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 218 x 146 x 14. Weight in Grams: 316. . 2012. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Forests and Development: Local, National and Global Issues: 37 (Routledge Explorations in Environmental Economics)
Publisher: Routledge
Publication Date: 2012
Language: English
ISBN 10: 0415498155
ISBN 13: 9780415498159
Binding: Hardcover
Condition: New

About this title

Synopsis

This book is a fully up to date study of the major issues facing forest conservation and the forestry industry, which considers developments at local, national and global levels. Environmental and development topics relating to each level are discussed – for instance, the use of forest products in a rural poverty context, corruption and forest harvesting and consumption as a political device.

Delacote employs a quantitative approach in order to analyse the plight of tropical forests in the developing world, and in doing so produces a range of interesting conclusions. This methodology fills a crucial research gap in existing studies of forests in a development context – increased use of theoretical tools to interpret real life situations might be beneficial to the field. Therefore, the first objective of this book is to provide a sample of theoretical analysis concerning the forests and development nexus. The second objective is to supply empirical economists with new theoretical insights, with the hope that those results can emerge with conclusive field testing and relevant policy recommendations.

About the Author

Philippe Delacote is a Researcher in Environmental Economics at the Laboratory of Forest Economics (INRA, Nancy, France).

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