Evaluating water quality investments using cost utility analysis.
This study borrows concepts from healthcare economics and uses cost utility analysis (CUA) to select an optimum portfolio of water quality enhancement projects in Perth, Western Australia. In CUA, costs are handled via standard discounted cash flow analysis, but the benefits, being intangible, are m...
| Publicado en: | Journal of Environmental Management Vol. 88; no. 4; pp. 1601 - 1611 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Academic Press Inc.
September 2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=506833966&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 506833966 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: September 2008 vid: 88 iid: 4 pid: 735 pub: Academic Press Inc. artinfo: ui: 506833966 10.1016/j.jenvman.2007.08.006 ppf: 1601 ppct: 10 formats: tig: atl: Evaluating water quality investments using cost utility analysis. aug: au: Hajkowicz, Stefan Spencer, Rachel Higgins, Andrew su: Water quality management Water pollution control industry Economics Environmental management Australia sug: subj: Australia Water quality management Water pollution control industry Economics Environmental management ab: This study borrows concepts from healthcare economics and uses cost utility analysis (CUA) to select an optimum portfolio of water quality enhancement projects in Perth, Western Australia. In CUA, costs are handled via standard discounted cash flow analysis, but the benefits, being intangible, are measured with a utility score. Our novel methodology combines CUA with a binary combinatorial optimisation solver, known as a 'knapsack algorithm', to identify the optimum portfolio of projects. We show how water quality projects can be selected to maximise an aggregate utility score while not exceeding a budget constraint. Our CUA model applies compromise programming (CP) to measure utility over multiple attributes in different units. CUA is shown to provide a transparent and analytically robust method to maximise benefits from water quality remediation investments under a constrained budget. Copyright (c) 2008 Elsevier Ltd. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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