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Comparative Environmental Economic Assessment

Edited by Raymond J.G.M. Florax, Peter Nijkamp and Kenneth G. Willis

Over the last decade, economists have increasingly recognized the role of meta-analysis and value transfer in synthesizing knowledge and efficiently exploiting the existing pool of knowledge. Comparative Environmental Economic Assessment explores the potential significance of using these techniques, particularly in environmental economics. Both meta-analysis and value transfer constitute major research tools which efficiently use knowledge previously acquired from other studies. The book focuses on the potential role and usefulness of these tools in environmental economic research, and goes on to address their validity, relevance and applicability
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Chapter 9: Developing a GIS-based methodology for benefit transfers

Ian J. Bateman, Andrew A. Lovett and Julii S. Brainard


9. Developing a GIS-based methodology for benefit transfers Ian J. Bateman, Andrew A. Lovett, Julii S. Brainard* 1 INTRODUCTION Smith (1993, p.7) defines benefit transfer as the process of ‘adapting existing models or value estimates to construct valuations for resources that are different in type or location from the one originally studied’. In particular, studies have addressed the question of whether data taken from surveyed ‘source’ sites can be used to infer values for unsurveyed ‘target’ sites. As McConnell (1992, p.695) indicates, This is an attractive procedure because it saves time and money on repeated studies. There are many forces which are likely to increase the demand for nonmarket benefit estimates over the next few years. And with the growth in demand for benefit estimates, the issues of transfer methods will increase. Given these advantages, a consideration of the possibilities (and problems) associated with benefit transfer techniques is timely. Our research particularly focuses on estimating the benefits associated with open-access woodland recreation. This is an issue of particular inter* This research was funded primarily by the Economic and Social Research Council (grant no. L320223002) and by the Nature Conservancy Council for England (English Nature: grant no. FIN/NC10/01). Assistance was also provided by the UEA / School of Environmental Sciences Research Promotion Fund and CSERGE. We are grateful to the Regional Studies Association for permission to publish this paper, a version of which has been published in the journal Regional Studies. We would...

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