G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Transferring Multivariate Benefit Functions Using Geographical Information Systems
Ian Bateman; Julii S. Brainard; Andrew A. Lovett
发表日期1998
出处Climate Change and Sustainable Development
出版年1998
语种英语
摘要Recreation value studies have to date generally failed to adequately transfer functions predicting visitor numbers and benefit values from 'source' to 'target' recreational sites. One reason behind such failure may lie in the difficulty of successfully modelling the inter-site variation in predictors. The present study employs a geographical information system (GIS) to tackle this issue by integrating data from a number of sources (including a recreational site survey, the national census, regional road networks, etc.) permitting improved and standardised measurement and analysis of predictors at both source and target sites. The paper applies Poisson regression techniques to a set of GIS derived explanatory variables predicting arrivals and consumer surplus estimates at a single target woodland recreation site. GIS techniques are then used to define a corresponding set of predictors at 30 other target woodland recreation sites across England for which actual arrival numbers were known. Comparison of actual versus predicted arrivals provided a test of transferral validity which proved satisfactory and consumer surplus estimates were derived as before.
特色分类C14,C42,H41
关键词Benefit transfers,GIS,Monetary evaluation,Woodland recreation
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/transferring-multivariate-benefit-functions-using-geographical-information-systems/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/116380
推荐引用方式
GB/T 7714
Ian Bateman,Julii S. Brainard,Andrew A. Lovett. Transferring Multivariate Benefit Functions Using Geographical Information Systems. 1998.
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NDL1998-084.pdf(167KB)智库出版物 限制开放CC BY-NC-SA浏览
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