Using Meta-Analysis to Assess Benefits of Green Infrastructure Investments: Application to Small Urban Projects in Hinesville, GA

C. Landry, J. Pippin, R. Zarei
{"title":"Using Meta-Analysis to Assess Benefits of Green Infrastructure Investments: Application to Small Urban Projects in Hinesville, GA","authors":"C. Landry, J. Pippin, R. Zarei","doi":"10.2139/ssrn.3724449","DOIUrl":null,"url":null,"abstract":"Small scale urban green infrastructure projects can provide local ecological services that should be accounted for in project assessment. Benefits assessment can be expensive and time consuming; benefit transfer provides an economical alternative, but the quality of the analysis depends upon available data. The best-case scenario for benefit transfer is to utilize a meta-analysis. In this paper, we use the meta-analysis of Bockarjova, et al. (2020) to predict ecological benefits of small scale urban green infrastructure investments in Hinesville, GA. In doing so, we implement a censoring procedure on the benefit transfer function to permit analysis of small-scale (less than one-hectare) projects. We find evidence of substantial net economic benefits, with estimates ranging from $657,000 to over $5million.","PeriodicalId":375465,"journal":{"name":"Ecosystem Ecology eJournal","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecosystem Ecology eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3724449","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Small scale urban green infrastructure projects can provide local ecological services that should be accounted for in project assessment. Benefits assessment can be expensive and time consuming; benefit transfer provides an economical alternative, but the quality of the analysis depends upon available data. The best-case scenario for benefit transfer is to utilize a meta-analysis. In this paper, we use the meta-analysis of Bockarjova, et al. (2020) to predict ecological benefits of small scale urban green infrastructure investments in Hinesville, GA. In doing so, we implement a censoring procedure on the benefit transfer function to permit analysis of small-scale (less than one-hectare) projects. We find evidence of substantial net economic benefits, with estimates ranging from $657,000 to over $5million.
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
利用元分析评估绿色基础设施投资的效益:在佐治亚州欣斯维尔小型城市项目中的应用
小型城市绿色基础设施项目可以提供当地生态服务,在项目评价中应考虑到这些服务。福利评估既昂贵又耗时;利益转移提供了一种经济的选择,但分析的质量取决于现有的数据。利益转移的最佳方案是利用元分析。在本文中,我们使用Bockarjova等人(2020)的元分析来预测乔治亚州海因斯维尔小规模城市绿色基础设施投资的生态效益。在此过程中,我们对利益转移函数实施审查程序,以允许对小规模(小于一公顷)项目进行分析。我们发现了大量净经济效益的证据,估计从65.7万美元到500多万美元不等。
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
自引率
0.00%
发文量
0
期刊最新文献
Using Meta-Analysis to Assess Benefits of Green Infrastructure Investments: Application to Small Urban Projects in Hinesville, GA Opportunities and Challenges for Environmental Sustainability: A Socioeconomic and Political Analysis Permeability Damage Due to Fines Migration During CO2 Sequestration Urban Watershed Services for Improved Ecosystem Management and Risk Reduction, Assessment Methods and Policy Instruments: State of the Art Methodology on Defining Environmental Sensitivity Index for Settlement Area in the River-Basin, Coastal and Small Island
×
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