Rationality Concepts in Environmental Valuation.

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Bibliographic Details
Superior document:Hohenheimer Volkswirtschaftliche Schriften Series ; v.58
:
Place / Publishing House:Frankfurt a.M. : : Peter Lang GmbH, Internationaler Verlag der Wissenschaften,, 2007.
{copy}2008.
Year of Publication:2007
Edition:1st ed.
Language:English
Series:Hohenheimer Volkswirtschaftliche Schriften Series
Online Access:
Physical Description:1 online resource (262 pages)
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Table of Contents:
  • Cover
  • i List of Figures
  • ii List of Tables
  • iii List of Abbreviations
  • 1 Introduction
  • 1.1 Motivation and scope
  • 1.2 Further outline of the study
  • 2 Environmental valuation
  • 2.1 Theory and practice of environmental valuation
  • 2.1.1 Environmental valuation - why?
  • 2.1.2 Environmental valuation and benefit-cost analysis in neoclassical economics
  • 2.1.3 Methods of environmental valuation
  • 2.1.3.1 Indirect methods
  • 2.1.3.2 Direct methods
  • 2.1.4 Statistical estimation models for the CVM
  • 2.2 Rationality problems in environmental valuation
  • 2.2.1 Biases in Contingent Valuation
  • 2.2.2 Rationality problems due to preference uncertainty
  • 2.3 Summary
  • 3 Rationality in economics
  • 3.1 Outline of the chapter
  • 3.2 Rationality concepts in economics an overview
  • 3.2.1 What is rationality?
  • 3.2.2 Extensions of the neoclassical rationality concept
  • 3.3 Bounded rationality
  • 3.3.1 The emergence of bounded rationality in the literature
  • 3.3.2 Evidence of bounded rationality in economics and the social sciences
  • 3.3.3 The psychological foundations of bounded rationality in environmental valuation
  • 3.3.3.1 Why deal with psychology?
  • 3.3.3.2 Cognitive psychology and its relation to the discipline of psychology
  • 3.3.3.3 Fundamentals of cognitive psychology
  • 3.3.4 Psychological models of reasoning: dual-process approaches
  • 3.3.4.1 The concept of dual-process approaches
  • 3.3.4.2 Specific model approaches of dual-processes in the context of environmental valuation
  • 3.4 Summary
  • 4 Bounded rationality in environmental valuation
  • 4.1 Review and outline of the chapter
  • 4.2 Theoretical considerations
  • 4.2.1 Dealing with preference uncertainty: a fuzzy approach
  • 4.2.1.1 Fuzzy logic and fuzzy preferences
  • 4.2.1.2 Is it possible to assess fuzzy preferences regarding the environment?.
  • 4.2.2 Considering bounded rationality in environmental valuation
  • 4.2.2.1 What constitutes rationality in environmental valuation? The normative view
  • 4.2.2.2 Why is bounded rationality a problem in environmental valuation?
  • 4.2.2.3 Research questions and hypotheses
  • 4.3 Development of empirical instruments for analyzing bounded rationality in CVM
  • 4.3.1 A measure for individual differences in decision making: the rational experiential inventory (REI)
  • 4.3.2 Adaptation of the REI to the context of the CVM
  • 4.4 An empirical example
  • 4.4.1 Background of the empirical research project: The Uplands Program
  • 4.4.2 General research ideas and hypotheses of the subproject in northern Thailand
  • 4.4.2.1 Problem definition
  • 4.4.2.2 The empirical design
  • 4.4.2.3 The measurement scales of bounded rationality in northern Thailand - research implementation in the survey design
  • 4.4.2.4 Practical implementation of the survey
  • 4.4.3 Empirical results of the project
  • 4.4.3.1 Socio-economic and demographic characteristics of the respondent population
  • 4.4.3.2 Estimates of willingness-to-pay for the tap water improvement program
  • 4.4.3.3 Determinants of willingness-to-pay
  • 4.4.3.4 The measurement scales of bounded rationality
  • 4.4.3.5 Characteristics of the task independent and task dependent types
  • 4.4.3.6 Bounded rationality and WTP
  • 4.4.3.7 Detection of procedural biases and their relation to the measures of cognitive type
  • 4.5 Discussion and implications of the empirical results of the study
  • 5 Summary and conclusions
  • 6 References
  • 7 Appendix
  • 7.1 Survey questionnaire
  • 7.2 Correlations of socio-economic and attitudinal variables with TIF and TDF
  • 7.2.1 Task independent factors
  • 7.2.2 Task dependent factors.