The Reliability of Delphi Surveys and Benefit Transfer to Predict Outcomes of Contingent Valuation Surveys

IF 1.3 4区 经济学 Q3 ECONOMICS Land Economics Pub Date : 2022-12-29 DOI:10.3368/le.99.3.051922-0037r
A. Dugstad, S. Navrud
{"title":"The Reliability of Delphi Surveys and Benefit Transfer to Predict Outcomes of Contingent Valuation Surveys","authors":"A. Dugstad, S. Navrud","doi":"10.3368/le.99.3.051922-0037r","DOIUrl":null,"url":null,"abstract":"Benefit transfer (BT) and valuation experts’ assessments in Delphi contingent valuation (CV) surveys have been used as an alternative to prohibitively expensive worldwide CV surveys to obtain estimates of total nonuse values of global public goods. We test the reliability of international BT and Delphi CV estimates by comparing them to a population CV survey of Norwegian households’ willingness to pay (WTP) for Amazon rainforest preservation plans. The Delphi CV method predicts WTP and scope effects in line with conventional BT, motivating further testing of the Delphi CV method as a time- and cost-saving way of valuing global public goods.","PeriodicalId":51378,"journal":{"name":"Land Economics","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Land Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.3368/le.99.3.051922-0037r","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

Benefit transfer (BT) and valuation experts’ assessments in Delphi contingent valuation (CV) surveys have been used as an alternative to prohibitively expensive worldwide CV surveys to obtain estimates of total nonuse values of global public goods. We test the reliability of international BT and Delphi CV estimates by comparing them to a population CV survey of Norwegian households’ willingness to pay (WTP) for Amazon rainforest preservation plans. The Delphi CV method predicts WTP and scope effects in line with conventional BT, motivating further testing of the Delphi CV method as a time- and cost-saving way of valuing global public goods.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
德尔菲调查的可靠性和利益转移对条件评估调查结果的预测
德尔福或有估价(CV)调查中的利益转移(BT)和估价专家评估已被用作昂贵的全球CV调查的替代方案,以获得全球公共产品总未使用价值的估计值。我们通过将国际BT和Delphi CV估计值与挪威家庭为亚马逊雨林保护计划支付意愿(WTP)的人口CV调查进行比较,来测试其可靠性。德尔菲CV方法预测了与传统BT一致的WTP和范围效应,激励了德尔菲CV法作为一种评估全球公共产品的时间和成本节约方法的进一步测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Land Economics
Land Economics Multiple-
CiteScore
2.60
自引率
0.00%
发文量
22
期刊介绍: Land Economics is dedicated to the study of land use, natural resources, public utilities, housing, and urban land issues. Established in 1925 by the renowned economist and founder of the American Economic Association, Richard T. Ely at the University of Wisconsin, Land Economics has consistently published innovative, conceptual, and empirical research of direct relevance to economists. Each issue brings the latest results in international applied research on such topics as transportation, energy, urban and rural land use, housing, environmental quality, public utilities, and natural resources.
期刊最新文献
Does Peer Adoption Increase the Diffusion of Pollution Prevention Practices? The Impact of Weather Risk on Tenure Security Race and Concern for the Environment The Demand for Voluntary Carbon Dioxide Removal Housing Market Capitalization of Pipeline Risk
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1