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Guide to COST-BENEFIT ANALYSIS of investment projects - Ramiri

Guide to COST-BENEFIT ANALYSIS of investment projects - Ramiri

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due <strong>to</strong> air pollution or water contamination by chemical products for example, is well known. The technique takesnatural science information on the physical effects <strong>of</strong> pollution and uses this in an economic model <strong>of</strong> evaluation.The economic evaluation will be performed by estimation, through a production or a utility function <strong>of</strong> the pr<strong>of</strong>itvariations <strong>of</strong> firms or the revenue gains or losses <strong>of</strong> individuals.The two steps <strong>of</strong> the method are:- the calculation <strong>of</strong> the pollutant dose and recep<strong>to</strong>r function, and;- the economic evaluation by the choice <strong>of</strong> an economic model.To assess the monetary gain or loss <strong>of</strong> benefits due <strong>to</strong> the variation in environmental quality requires the analysis <strong>of</strong>biological and physical processes, their interactions with economic agents’ decisions (consumer or producer) and thefinal effect on welfare.The major fields <strong>of</strong> application <strong>of</strong> the methodology are the evaluation <strong>of</strong> losses (in crops, for example) due <strong>to</strong>pollution, the pollution effects on ecosystems, vegetation and soil erosion, and the impacts <strong>of</strong> urban air pollution onhealth, materials and buildings. The approach cannot estimate the non-use value.Benefit TransferRecent developments in policy behaviour have stressed the relevance <strong>of</strong> the so-called Benefit-Transfer Approach inthe appraisal <strong>of</strong> non-market goods, specifically environmental goods and services (Pearce, Atkinson and Moura<strong>to</strong>,2006). This method consists <strong>of</strong> taking a unit value for a non-market good estimated in an original study and usingthis estimate, after some adjustments, <strong>to</strong> value benefits (or costs) that arise when a policy or project is implementedelsewhere.The Benefit Transfer method can be defined as the use <strong>of</strong> a good estimate in one site, the ‘study site’ as a proxy forvalues <strong>of</strong> the same good in another site, the ‘policy site’ (Desvousges, Johnson and Banzhaf, 1998). For example, theprovision <strong>of</strong> a non-market good at a policy site could refer <strong>to</strong> a lake at a particular geographical location. If sufficientdata are not available for that country, analysts can use values for similar conditions in data-rich countries.The interest shown in this approach is due <strong>to</strong> the opportunity <strong>to</strong> reduce the need for costly and time–consumingoriginal studies <strong>of</strong> non-market goods values. Moreover Benefit Transfer could be used <strong>to</strong> assess whether or not amore in-depth analysis is worthwhile.Clearly, the main obstacle in using this approach is that Benefit Transfer can give rise <strong>to</strong> seriously biased estimates.Obviously judgement and insight are required for all the basic steps entailed in undertaking a BT exercise. Forexample, information needs <strong>to</strong> be obtained on baseline environmental quality, changes and relevant socio-economicdata.Benefit transfer is usually performed in three steps:- the compilation <strong>of</strong> the existing literature on the subject under investigation (recreational activity, human health,air and water pollution…);- the assessment <strong>of</strong> the selected studies for their comparability (similarity <strong>of</strong> the environmental services valued,difference in revenue, education, age and other socio-economic characteristics which can affect the evaluation);- the calculation <strong>of</strong> values and their transfer in the new context <strong>of</strong> evaluation.The most crucial stage is where existing estimates or models are selected and estimated effects are obtained for thepolicy site. In addition, the population at the relevant policy site has <strong>to</strong> be determined.Adjustments are usually advisable in order <strong>to</strong> reflect differences at the original study sites and the new policy sites.The analyst may choose from three main types <strong>of</strong> adjustment <strong>of</strong> increasing sophistication:- unadjusted Willingness-<strong>to</strong>-pay Transfer => this procedure implies a simple ‘borrowing’ <strong>of</strong> the estimates made inthe study site and the use <strong>of</strong> those estimates in the policy site, with an obvious advantage in terms <strong>of</strong> simplicity;- willingness-<strong>to</strong>-pay Transfer with Adjustment (value transfer) => it could be useful <strong>to</strong> modify the values from thestudy site data <strong>to</strong> reflect the difference in a particular variable that characterizes the sites. For example, the valuescan be adjusted through multiplication using the ratio between the income level <strong>of</strong> the study case and the incomelevel <strong>of</strong> the policy case.- willingness-<strong>to</strong>-pay Function Transfer => a more sophisticated approach is <strong>to</strong> transfer the benefit or valuefunction from the study site <strong>to</strong> the policy site. Thus, if it is known that Willingness-<strong>to</strong>-pay for a good at the studysite is a function <strong>of</strong>, first, a range <strong>of</strong> physical features on the site, second, <strong>of</strong> its use, and third, <strong>of</strong> a set <strong>of</strong> socioeconomiccharacteristics <strong>of</strong> the population at the site, then this information itself can be used as part <strong>of</strong> thetransfer process.226

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