Guide to COST-BENEFIT ANALYSIS of investment projects - Ramiri
Guide to COST-BENEFIT ANALYSIS of investment projects - Ramiri
Guide to COST-BENEFIT ANALYSIS of investment projects - Ramiri
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Contingent Valuation MethodThe aim <strong>of</strong> the method is <strong>to</strong> elicit individual preferences, in monetary terms, for changes in the quantity or quality <strong>of</strong>a non-market good or service.The key element in any contingent evaluation study is a properly designed questionnaire. The questionnaire aims <strong>to</strong>determine individuals’ estimates <strong>of</strong> how much having or avoiding the change in question is worth <strong>to</strong> them.In order <strong>to</strong> conduct a contingent valuation it is worthwhile:- investigating the attitudes and behaviour related <strong>to</strong> the goods <strong>to</strong> be valued in preparation for answering thevaluation question and in order <strong>to</strong> reveal the most important underlying fac<strong>to</strong>rs driving respondents’ attitude<strong>to</strong>wards the public good;- presenting respondents with a contingent scenario providing for a description <strong>of</strong> the commodity and the termsunder which it is <strong>to</strong> be hypothetically <strong>of</strong>fered. The final questions should aim <strong>to</strong> determine how much they wouldvalue the good if confronted with the opportunity <strong>to</strong> obtain it under the specified terms and conditions;- asking questions about the socio-economic and demographic characteristics <strong>of</strong> the respondents in order <strong>to</strong> checkthe extent <strong>to</strong> which the survey sample is representative <strong>of</strong> the population involved.At the end <strong>of</strong> the survey process, analysts use appropriate econometric techniques <strong>to</strong> derive welfare measures such asmean or median willingness-<strong>to</strong>-pay and also <strong>to</strong> identify the most important determinants <strong>of</strong> willingness-<strong>to</strong>-pay. Withregard <strong>to</strong> the statistical indica<strong>to</strong>rs <strong>to</strong> be used, the median could be the best predic<strong>to</strong>r <strong>of</strong> what the majority <strong>of</strong> peoplewould actually be willing <strong>to</strong> pay because, unlike the mean, it does not give much weight <strong>to</strong> outliersChoice Modelling MethodChoice Modelling is a survey-based method for modelling preferences for goods, when goods are described in terms<strong>of</strong> their attributes and <strong>of</strong> the level <strong>of</strong> these attributes. Respondents have various alternative descriptions <strong>of</strong> a good,differentiated by their attributes and levels, and are requested <strong>to</strong> rank the alternatives, <strong>to</strong> rate them or <strong>to</strong> choose theirpreferred option. By including price/cost as one <strong>of</strong> the attributes <strong>of</strong> the good, willingness-<strong>to</strong>-pay can be directlyrecovered from people’s rankings, ratings or choices. Also, in this case, the method allows the measurement <strong>of</strong> nonusevalues.The main variants proposed in specialist literature are described in the following table:Main variants <strong>of</strong> CM methodTasksChoice experimentsChoose between two or more alternatives (where one is the status quo)Contingent rankingRank a series <strong>of</strong> alternativesContingent rating Score alternative scenarios on a scale <strong>of</strong> 1-10Paired comparisonScore pairs <strong>of</strong> scenarios on a similar scaleThe main strengths <strong>of</strong> the method are:- the capacity <strong>to</strong> deal with situations where changes are multi-dimensional, thanks <strong>to</strong> its ability <strong>to</strong> separately identifythe value <strong>of</strong> the specific attributes <strong>of</strong> a good;- the possibility for respondents <strong>to</strong> use multiple choices (for example variants in Choice experiments), <strong>to</strong> expresstheir preference for a valued good over a range <strong>of</strong> payment amounts;- by relying on ratings, rankings and choices and deriving indirectly the willingness-<strong>to</strong>-pay <strong>of</strong> respondents, themethod overcomes some problems associated with the Contingent Valuation Method.The main problems are:- the difficulties respondents experience in dealing with multiple complex choices or rankings;- the inefficiency in deriving values for a sequence <strong>of</strong> elements implemented by a policy or project. For these types<strong>of</strong> evaluations Contingent Methods should be preferred;- the willingness-<strong>to</strong>-pay estimate is sensitive <strong>to</strong> study design. For example, the choice <strong>of</strong> attributes and levels <strong>to</strong>present <strong>to</strong> the respondents and the way in which choices are relayed <strong>to</strong> respondents (use <strong>of</strong> pho<strong>to</strong>graphs, textdescription etc.) may impact on the values <strong>of</strong> estimates;- one indirect method <strong>of</strong> evaluating non-market goods is related <strong>to</strong> dose-response functions.Dose-response functionsThe dose-response technique aims <strong>to</strong> establish a relationship between environmental impacts (the response) andphysical environmental impacts such as pollution (the dose). The technique is used when the dose-responserelationship between the cause <strong>of</strong> environmental damage, such as air or water pollution, and the impacts, morbidity225