Simulation methods are revolutionizing the practice of applied economic analysis. In this book, leading researchers from around the world discuss interpretation issues, similarities and differences across alternative models, and propose practical solutions for the choice of the model and programming. Case studies show the practical use and the results brought forth by the different methods.
Simulation methods are revolutionizing the practice of applied economic analysis. In this book, leading researchers from around the world discuss interpretation issues, similarities and differences across alternative models, and propose practical solutions for the choice of the model and programming. Case studies show the practical use and the results brought forth by the different methods.
The book presents new developments in the dynamic modeling and optimization methods in environmental economics and provides a huge range of applications dealing with the economics of natural resources, the impacts of climate change and of environmental pollution, and respective policy measures. The interrelationship between economic activities and environmental quality, the development of cleaner technologies, the switch from fossil to renewable resources and the proper use of policy instruments play an important role along the path towards a sustainable future. Biological, physical and economic processes are naturally involved in the subject, and postulate the main modelling, simulation and decision-making tools: the methods of dynamic optimization and dynamic games.
This dissertation is an investigation of two topics in environmental and natural resource economics. In the first two chapters, I use dynamic optimization and spatial modeling techniques to analyze wildlife disease management policies. In these chapters I integrate techniques from the ecology literature, including resource selection functions, into an economic valuation framework. In the third chapter, I develop an equilibrium model in which a subset of investors divest from companies based on environmental criteria. The model includes both investor behavior and firm production and abatement decisions, thereby linking green investing strategies to emissions outcomes. This approach bridges the gap between models of socially-responsible investing found in the finance literature and the environmental outcomes of interest to economists and policy makers.
This book provides a comprehensive review of environmental benefit transfer methods, issues and challenges, covering topics relevant to researchers and practitioners. Early chapters provide accessible introductory materials suitable for non-economists. These chapters also detail how benefit transfer is used within the policy process. Later chapters cover more advanced topics suited to valuation researchers, graduate students and those with similar knowledge of economic and statistical theory and methods. This book provides the most complete coverage of environmental benefit transfer methods available in a single location. The book targets a wide audience, including undergraduate and graduate students, practitioners in economics and other disciplines looking for a one-stop handbook covering benefit transfer topics and those who wish to apply or evaluate benefit transfer methods. It is designed for those both with and without training in economics
This major reference work the first of its kind provides a comprehensive and authoritative introduction to the large and growing literature on contingent valuation. It includes entries on over 7,500 contingent valuation papers and studies from over 130 countries covering both the published and grey literatures. This book provides an interpretive historical account of the development of contingent valuation, the most commonly used approach to placing a value on goods not normally sold in the marketplace. The major fields catalogued here include culture, the environment, and health application. This bibliography is an ideal starting point for researchers wanting to find other studies that have valued goods or used techniques similar to those they are interested in. For those wanting to conduct meta analyses, the book will serve as an invaluable guide to source material. For those wanting to conduct meta analyses, the book will serve as an invaluable guide to source material. In addition to the print edition we offer access, for purchasers of the book, to a website providing the contents of as a searchable Word document and in a variety of standard bibliographic database forms. Contingent Valuation is an indispensable reference source for researchers, scholars and policymakers concerned with survey approaches to the problem of environmental valuation.
This volume emphasizes the economic aspects of art and culture, a relatively new field that poses inherent problems for economics, with its quantitative concepts and tools. Building bridges across disciplines such as management, art history, art philosophy, sociology, and law, editors Victor Ginsburgh and David Throsby assemble chapters that yield new perspectives on the supply and demand for artistic services, the contribution of the arts sector to the economy, and the roles that public policies play. With its focus on culture rather than the arts, Ginsburgh and Throsby bring new clarity and definition to this rapidly growing area. - Presents coherent summaries of major research in art and culture, a field that is inherently difficult to characterize with finance tools and concepts - Offers a rigorous description that avoids common problems associated with art and culture scholarship - Makes details about the economics of art and culture accessible to scholars in fields outside economics
Contains a selection of the best theoretical and applied papers from the inaugural International Choice Modelling Conference. The conference was organised by the Institute for Transport Studies at the University of Leeds and held in Harrogate, North Yorkshire on 30 March to 1 April 2009.
Simulation models are widely used in applied economics to improve understanding of how a system could behave under different conditions. However, the potential degree to which such models can influence decision making depends on their ability to provide an adequate description of the important elements of a given problem. A systematic and robust procedure for the development and application of such models in agricultural, ecological, environmental and natural resource economics is presented. This process is based on the authors' experience across a broad range of model types and applications and extensive literature review. The practical impact of simulation models is argued to be greater where stakeholders and technical experts are consulted extensively throughout the modelling process.
