Literature DB >> 21241998

What weight should be assigned to future environmental impacts? A probabilistic cost benefit analysis using recent advances on discounting.

Carmen Almansa1, José M Martínez-Paz.   

Abstract

Cost-benefit analysis is a standard methodological platform for public investment evaluation. In high environmental impact projects, with a long-term effect on future generations, the choice of discount rate and time horizon is of particular relevance, because it can lead to very different profitability assessments. This paper describes some recent approaches to environmental discounting and applies them, together with a number of classical procedures, to the economic evaluation of a plant for the desalination of irrigation return water from intensive farming, aimed at halting the degradation of an area of great ecological value, the Mar Menor, in South Eastern Spain. A Monte Carlo procedure is used in four CBA approaches and three time horizons to carry out a probabilistic sensitivity analysis designed to integrate the views of an international panel of experts in environmental discounting with the uncertainty affecting the market price of the project's main output, i.e., irrigation water for a water-deprived area. The results show which discounting scenarios most accurately estimate the socio-environmental profitability of the project while also considering the risk associated with these two key parameters. The analysis also provides some methodological findings regarding ways of assessing financial and environmental profitability in decisions concerning public investment in the environment.
Copyright © 2010 Elsevier B.V. All rights reserved.

Mesh:

Year:  2011        PMID: 21241998     DOI: 10.1016/j.scitotenv.2010.12.004

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  Valuation of national park system visitation: the efficient use of count data models, meta-analysis, and secondary visitor survey data.

Authors:  Christopher Neher; John Duffield; David Patterson
Journal:  Environ Manage       Date:  2013-05-29       Impact factor: 3.266

2.  Economic feasibility study for improving drinking water quality: a case study of arsenic contamination in rural Argentina.

Authors:  María Molinos-Senante; Alejo Perez Carrera; Francesc Hernández-Sancho; Alicia Fernández-Cirelli; Ramón Sala-Garrido
Journal:  Ecohealth       Date:  2014-06-13       Impact factor: 3.184

Review 3.  Quantitatively evaluating the cross-sectoral and One Health impact of interventions: A scoping review and case study of antimicrobial resistance.

Authors:  Nichola R Naylor; Jo Lines; Jeff Waage; Barbara Wieland; Gwenan M Knight
Journal:  One Health       Date:  2020-11-14
  3 in total

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