2015
DOI: 10.1016/j.jclepro.2014.08.007
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Monetary valuation in Life Cycle Assessment: a review

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Cited by 195 publications
(127 citation statements)
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References 29 publications
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“…Only in a few cases when impacts go beyond the immediately affected population (e.g. heritage values) the additional impact on the existence value needs to be measured by willingness to pay as expressed in choice experiments [2]. However, first estimates point to such impacts as being of minor overall importance.…”
Section: Discussionmentioning
confidence: 99%
“…Only in a few cases when impacts go beyond the immediately affected population (e.g. heritage values) the additional impact on the existence value needs to be measured by willingness to pay as expressed in choice experiments [2]. However, first estimates point to such impacts as being of minor overall importance.…”
Section: Discussionmentioning
confidence: 99%
“…In order to compute externalities within an LCC application, a monetary valuation of externalities should be carried out, for "converting measures of social and biophysical impacts into monetary units" (Pizzol et al, 2014). There are studies that include, among their goals, the identification of consistent Life Cycle Impact Assessment (LCIA) methods that could perform such tasks.…”
Section: Life Cycle Impact Assessment Methods and Life Cycle Costingmentioning
confidence: 99%
“…people, experts or organisations e.g. regarding time (present versus future impacts), geography (local versus global), urgency, political agendas, or cost Huppes and Van Oers, 2011;Pizzol et al, 2015). The cultural theory archetypes used in EcoIndicator99 and ReCiPe are a structured example of such value choices Goedkoop and Spriensma, 2001;Hofstetter et al 2000;Goedkoop et al 1998), but may be difficult to apply when decisions are made by a heterogeneous group of decision makers.…”
Section: Purposes Of Normalisation and Weightingmentioning
confidence: 99%
“…Similar approaches for systematic review methods have been applied before in the LCA literature (Hauschild et al, 2013;Pizzol et al, 2015), and those were taken as starting point in the formulation of the following criteria: (i) Scientific robustness: What is the science behind the development of the method? (ii)…”
Section: Review Of Different Approaches For Normalisation and Weightingmentioning
confidence: 99%