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Environmental Value Transfer: Issues and Methods

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Cover of 'Environmental Value Transfer: Issues and Methods'

Table of Contents

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    Book Overview
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    Chapter 1 Review of Methods for Value Transfer
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    Chapter 2 Benefit and Informational Transfers
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    Chapter 3 Correspondence and Convergence in Benefit Transfer Accuracy: Meta-Analytic Review of the Literature
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    Chapter 4 Transferring Landscape Values: How And How Accurately?
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    Chapter 5 Morbidity Value Transfer
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    Chapter 6 Uncertainty, Benefit Transfers and Physical Models: A Middle Rio Grande Valley Focus
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    Chapter 7 Estimating the Economic Value of Improvements in River Ecology Using Choice Experiments: An application to the water framework directive
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    Chapter 8 Contrasting conventional with multi-level modeling approaches to meta-analysis: Expectation consistency in UK woodland recreation values
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    Chapter 9 Benefit Transfer Using Meta-Analysis In Recreation Economic Valuation
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    Chapter 10 Benefit Value Transfers Conditional On Site Attributes: Some Evidence Of Reliability From Forest Recreation In Ireland
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    Chapter 11 Can use and Non-use Values Be Transferred Across Countries?
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    Chapter 12 The Application of Bayesian Methods in Benefit Transfer
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    Chapter 13 Improving the Practice of Benefits Transfer: A Preference Calibration Approach
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    Chapter 14 How Much Is Enough? The Value Of Information From Benefit Transfers In A Policy Context
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    Chapter 15 Lessons Learned for Environmental Value Transfer
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Mentioned by

policy
1 policy source

Citations

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95 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Environmental Value Transfer: Issues and Methods
Published by
Springer Netherlands, May 2007
DOI 10.1007/1-4020-5405-x
ISBNs
978-1-4020-4081-8, 978-1-4020-5405-1
Editors

Navrud, Ståle, Ready, Richard

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 33%
Professor 1 17%
Student > Ph. D. Student 1 17%
Researcher 1 17%
Professor > Associate Professor 1 17%
Other 0 0%
Readers by discipline Count As %
Economics, Econometrics and Finance 3 50%
Environmental Science 1 17%
Business, Management and Accounting 1 17%
Social Sciences 1 17%