5.2.3. Measuring trait desirability; 5.2.4. Calculation of the SDR variable; 5.3. General results of the contingent valuation survey; 5.3.1. Demographic characteristics of the sample population; 5.3.2. Overall determinants of WTP; 5.4. Analysis of the relationship of SDR and WTP; 5.5. Discussion of the empirical results; Chapter 6 Summary and concluding remarks; 7. References; 8. Appendix: The full questionnaire.
The General Factor of Personality improves our understanding of the personality structure and the relations between major personality dimensions, as well as major dimensions of the entire non-cognitive sphere of psychological variables. The results of the empirical testing and theoretical evaluations in this book contribute to the more comprehensive and precise theoretical framework of the General Factor of Personality (GFP) and that of the entire personality structure. Additionally, the book answers some unresolved questions concerning the nature of the GFP, including whether it is based more on correlations in real behavior or on other less substantial factors between lower-order dimensions of personality. This book is crucially important not only for theoretical reasons, but also for the tremendous practical and applied value of the assumed general dimension of personality. As a common denominator of all the most important fields of personality beyond cognition (Big Five, well-being, coping, emotionality, motivation, self-concept, self-esteem, control, wisdom and others), the GFP represents an extremely strong single predictor of the quality of life, mental health and well-being, career, academic success, and the quality of family and interpersonal relations. - Reviews the theoretical and methodological work on the General Factor of Personality (GFP) - Presents major research results in the field of GFP and the dimensional structure of personality - Provides a balanced and objective approach to the topic of GFP, addressing criticisms and controversies - Considers the practical and applied aspects of this research - Draws conclusions on the bioevolutionary model of GFP to give a more thorough understanding of biological bases of human personality
'. . . a very useful single source for those interested in environmental evaluation using choice models.' - David A. Hensher, Australian Journal of Environmental Management '. . . this book can serve as a firm basis to start understanding what CM is about. . .' - Jesús Barreiro Hurlé, European Review of Agricultural Economics Choice Modelling is a technique that has recently emerged as a means of estimating the demand for environmental goods and the benefits and costs associated with them. The aims of the book are fourfold: * to introduce the technique in the environmental context * to demonstrate its use in a range of case studies * to provide insights into some methodological issues * to explore the prospects for the technique.
Nutrient recycling, habitat for plants and animals, flood control, and water supply are among the many beneficial services provided by aquatic ecosystems. In making decisions about human activities, such as draining a wetland for a housing development, it is essential to consider both the value of the development and the value of the ecosystem services that could be lost. Despite a growing recognition of the importance of ecosystem services, their value is often overlooked in environmental decision-making. This report identifies methods for assigning economic value to ecosystem servicesâ€"even intangible onesâ€"and calls for greater collaboration between ecologists and economists in such efforts.
This book provides practical, research-based advice on how to conduct high-quality stated choice studies. It covers every aspect of the topic, from planning and writing the survey, to analyzing results, to evaluating quality. There is no other book on the market today that so thoroughly addresses the methodology of stated choice. Chapters are written by top-notch academics and practitioners in an accessible style, offering practical, tough advice.
This is a practical book with clear descriptions of the most commonly used nonmarket methods. The first chapters of the book provide the context and theoretical foundation of nonmarket valuation along with a discussion of data collection procedures. The middle chapters describe the major stated- and revealed-preference valuation methods. For each method, the steps involved in implementation are laid out and carefully explained with supporting references from the published literature. The final chapters of the book examine the relevance of experimentation to economic valuation, the transfer of existing nonmarket values to new settings, and assessments of the reliability and validity of nonmarket values. The book is relevant to individuals in many professions at all career levels. Professionals in government agencies, attorneys involved with natural resource damage assessments, graduate students, and others will appreciate the thorough descriptions of how to design, implement, and analyze a nonmarket valuation study.
Global environmental change often seems to be the most carefully examined issue of our time. Yet understanding the human sideâ€"human causes of and responses to environmental changeâ€"has not yet received sustained attention. Global Environmental Change offers a strategy for combining the efforts of natural and social scientists to better understand how our actions influence global change and how global change influences us. The volume is accessible to the nonscientist and provides a wide range of examples and case studies. It explores how the attitudes and actions of individuals, governments, and organizations intertwine to leave their mark on the health of the planet. The book focuses on establishing a framework for this new field of study, identifying problems that must be overcome if we are to deepen our understanding of the human dimensions of global change, presenting conclusions and recommendations.
These Guidelines represent the first attempt to provide international recommendations on collecting, publishing, and analysing subjective well-being data.
The social cost of carbon (SC-CO2) is an economic metric intended to provide a comprehensive estimate of the net damages - that is, the monetized value of the net impacts, both negative and positive - from the global climate change that results from a small (1-metric ton) increase in carbon-dioxide (CO2) emissions. Under Executive Orders regarding regulatory impact analysis and as required by a court ruling, the U.S. government has since 2008 used estimates of the SC-CO2 in federal rulemakings to value the costs and benefits associated with changes in CO2 emissions. In 2010, the Interagency Working Group on the Social Cost of Greenhouse Gases (IWG) developed a methodology for estimating the SC-CO2 across a range of assumptions about future socioeconomic and physical earth systems. Valuing Climate Changes examines potential approaches, along with their relative merits and challenges, for a comprehensive update to the current methodology. This publication also recommends near- and longer-term research priorities to ensure that the SC- CO2 estimates reflect the best available science.
