| Valuing Environmental Preferences: Theory and Practice of the Contingent Valuation Method in the Us, Eu, and Developing Countries Revised Edition Contributor(s): Bateman, Ian J. (Editor), Willis, Ken G. (Editor), Arrow, Kenneth J. (Foreword by) |
|
 |
ISBN: 0199248915 ISBN-13: 9780199248919 Publisher: Oxford University Press, USA OUR PRICE: $137.75 Product Type: Paperback - Other Formats Published: January 2002 Annotation: This is a comprehensive and up-to-date treatment of the Contingent Valuation Method (CVM) which asks what people would be willing to pay for an environmental good or attribute, or willing to accept for its loss. CVM is currently central to the assessment of environmental damage and has been the subject of considerable debate, especially in the case of the Exxon Valdez disaster in Alaska. Aimed at specialists, this book contains specially commissioned papers from both sides of that debate, as well as from commentators who see it as an interesting experimental tool regardless of the question of absolute validity of estimates. |
| Additional Information |
| BISAC Categories: - Science | Environmental Science (see Also Chemistry - Environmental) - Business & Economics | Economics - General - Business & Economics | Development - Economic Development |
| Dewey: 333.7 |
| Physical Information: 1.37" H x 6.34" W x 9.12" (2.06 lbs) 668 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This is a comprehensive and up-to-date treatment of the Contingent Valuation Method (CVM) which asks what people would be willing to pay for an environmental good or attribute, or willing to accept for its loss. CVM is currently central to the assessment of environmental damage and has been the subject of considerable debate, especially in the case of the Exxon Valdez disaster in Alaska. Aimed at specialists, this book contains specially commissioned papers from both sides of that debate, as well as from commentators who see it as an interesting experimental tool regardless of the question of absolute validity of estimates. |