Informational use of ecosystem services valuation : benefit transfer

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Table of contents

I. Theoretical part 
1. Literature review: Implementation context and science-policy interfaces: Implications for the economic valuation of ecosystem services 
1.1. Introduction
1.2. Evidence of the mainstreaming of the ecosystem services concept
1.2.1. Use within policy and public administration
1.2.2. Ecosystem services concept in the legal system
1.3. Decision-making support by science-policy interfaces
1.3.1. Challenges and roles of science-policy interfaces
1.3.2. Informational use of ecosystem services valuation: benefit transfer
1.3.3. Researchers and advocacy for ES management
1.4. Implementation research
1.4.1. The top-down approach
1.4.2. The bottom-up approach
1.4.3. Complementary approaches: transdisciplinary research within sciencepolicy interfaces
1.5. Policy implementation and valuation methods: empirical evidence
1.5.1. The bottom-up case
1.5.2. The top-down case
1.5.3. Complementarity of the valuation approaches for transdisciplinary implementation by science-policy interfaces
1.6. Conclusion
II. Empirical part 
2. Design, preparation and application of a discrete choice experiment – Best practice and methodology for the valuation of the Cévennes landscapes 
2.1. Introduction
2.2. Study area: the Cévennes
2.2.1. Landscape
2.2.2. Demography
2.2.3. Cultural heritage
2.2.4. Impact of the Cévennes National Park
2.2.5. ES and interrelations within the Cévennes
2.2.6. Implications for our study
2.3. Focus groups work
2.3.1. Best practice advices for focus group work
2.3.2. Application of focus groups in our experiment
2.4. Principles of discrete choice experiments and experimental design
2.4.1. Introduction to discrete choice experiments
2.4.2. Experimental design
2.4.3. Implications for our study
2.5. The econometrics of discrete choice experiments
2.5.1. Overview
2.5.2. Logit model
2.5.3. Generalized extreme value models
2.5.4. Mixed logit
2.6. Factorial analysis and cluster analysis
2.6.1. Principal component analysis
2.6.2. Single correspondence analysis
2.6.3. Multiple correspondence analysis
2.6.4. Classification
2.7. The final questionnaire
2.7.1. Introduction and information
2.7.2. DCE and follow-up questions
2.7.3. Indicator statements
2.7.4. Socio-cultural characteristics
2.8. Implementation of the study
2.8.1. Logistics
2.8.2. Selection of participants
2.9. Descriptive statistics and representativeness
2.9.1. Structure of the data
2.9.2. Representativeness
2.10. Conclusion
3. Valuation of bundles of ecosystem services associated to the Cévennes landscapes 
3.1. Introduction
3.2. Landscapes, bundles of ecosystem services and their valuation by discrete choice experiments
3.2.1. Landscapes and their relation to ecosystem services
3.2.2. The concept of ecosystem service bundles
3.2.3. Inferences for the valuation of ecosystem services
3.3. Results of our experiment
3.3.1. General remarks
3.3.2. Analysis of the choice experiment data by multinomial logit
3.3.3. Analysis of the choice experiment data by mixed logit
3.3.4. Factor and cluster analysis
3.4. Discussion
3.4.1. Results of the DCE approach
3.4.2. What kind of landscape is supported and why – insights from the cluster analysis
3.4.3. Analysis of the willingness to pay
3.4.4. Bundles representation
3.5. Conclusion
4. The impact of deliberation on valuation 
4.1. Introduction
4.2. Non-material ES
4.2.1. Complementary value approaches
4.2.2. Non-material ES – or cultural ES…?
4.2.3. Approaches to assess and value non-material ES
4.2.4. Empirical findings in assessments of non-material ES
4.2.5. Role of non-material ES for decision making
4.3. Deliberative approaches to the valuation of ES
4.3.1. Definition and theoretical foundations of deliberations
4.3.2. Complementary approaches and requirements for study design
4.3.3. Expected advantages of deliberative approaches
4.3.4. Occurring biases and other inconveniences
4.3.5. Empirical findings
4.3.6. Importance for decision making
4.4. Implications for valuation
4.4.1. Synergies from deliberations and account for non-material ES
4.4.2. Account for non-material ES in valuation
4.4.3. Implementing deliberative settings in valuations
4.4.4. Positioning of our study
4.5. Analysis
4.5.1. Econometric effects of deliberation
4.5.2. Cluster analysis
4.5.3. Impact of deliberation on consideration of indicator statements
4.5.4. Analysis of transcribed discussions
4.5.5. Impact of deliberation on the quality of valuation
4.6. Discussion
4.6.1. Summary
4.6.2. Deliberation and the effect of expertise
4.6.3. Significant differences and sample size problems
4.6.4. Non-material ES and deliberations
4.6.5. Preference economization and preference moralization
4.6.6. Quality of valuation
4.6.7. What can deliberation bring to the economic valuation of ES?
4.7. Conclusion
Conclusion 
A. Appendix of chapter 2
A.1. Ngene Code
A.2. Final questionnaire
A.3. Pictures from the implementation of the study
A.4. Example of a poster distributed around a municipality in the Cévennes
A.5. List of municipalities that have been part of our study area in the Cévennes
A.6. Choice of representative income statistics for the Cévennes sample
B. Appendix of chapter 3
B.1. Output tables
B.1.1. MNL models Cévennes sample
B.1.2. MNL models Montpellier sample
B.1.3. MXL models Cévennes sample
B.1.4. MXL models Montpellier sample
B.2. Factor analysis and cluster analysis
C. Appendix of chapter 4
C.1. Output tables
C.2. Part of a transcribed discussion
Bibliography