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Applied Environmental Economics: A GIS Approach to Cost-Benefit Analysisby Ian J. Bateman
Synopses & Reviews
The complex real-world interactions between the economy and the environment form both the focus of and main barrier to applied research within the field of environmental economics. However, geographical information systems (GIS) allow economists to tackle such complexity head on by directly incorporating diverse datasets into applied research rather than resorting to simplifying and often unrealistic assumptions. This innovative book applies GIS techniques to spatial cost-benefit analysis of a complex and topical land use change problem--the conversion of agricultural land to multipurpose woodland--looking in detail at issues such as opportunity costs, timber yield, recreation, carbon storage, etc.,
One of the first books to demonstrate the power of Geographical Information Systems (GIS) applied to environmental economics problems. The authors show how GIS can be used to model complex real world interactions between the environment and the economy, making possible a more sophisticated evaluation of the costs and benefits of environmental policies than conventional cost-benefit techniques allow. Using an extended case study of a land use change problem, the authors develop an innovative methodology that has important applications to economists, environmental managers and regional planners.
An innovative new application of geographical information systems (GIS) to environmental economics.
About the Author
Ian J. Bateman is Professor of Environmental Economics, University of East Anglia and Senior Research Fellow at CSERGE and CEBARD.Andrew A. Lovett is Senior Lecturer at the School of Environmental Sciences, University of East Anglia.Julii S. Brainard is Senior Researcher at the Centre for Social and Economic Research on the Global Environment (CSERGE), University of East Anglia.
Table of Contents
Foreword David W. Pearce; 1. Introduction; 2. Recreation: valuation methods; 3. Recreation: predicting values; 4. Recreation: predicting visits; 5. Timber valuation; 6. Modelling and mapping timber yield and its value; 7. Modelling and valuing carbon sequestration in trees, timber products and forest soils; 8. Modelling opportunity cost: agricultural output values; 9. Cost benefit analysis using GIS; 10. Conclusions and future directions.
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