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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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- Civil water purification gives rise <strong>to</strong> benefits in different sec<strong>to</strong>rs, first and foremost the environmentalprotection <strong>of</strong> water and land, but also the safeguarding <strong>of</strong> human health and the integrity <strong>of</strong> the livingspecies (see also Annex F). A possible conservative value for these positive externalities can beobtained by putting a value on the volume <strong>of</strong> purified water discharged and susceptible for re-use fordifferent purposes. In this case, the volume <strong>of</strong> purified water not used in situ and thus discharged,reduced by a coefficient <strong>of</strong> dispersion 101 (0.70), are equal <strong>to</strong> roughly 9 Mm 3 /year, assuming a potentialirrigation re-use, at an accounting price <strong>of</strong> €0.81 per m 3 , already used <strong>to</strong> evaluate the benefits <strong>of</strong> thesupply <strong>of</strong> resources for industrial purposes.The conversion fac<strong>to</strong>r was also applied <strong>to</strong> the benefits derived from the revenue from the residual value <strong>of</strong>the infrastructures 102 .The social discount rate is 5.5%. From the cash flows, the following performance indica<strong>to</strong>r results areobtained:- Economic Net Present Value ENPV €295,519,106- Economic Rate <strong>of</strong> Return ERR 28.9%- Benefit / Cost Ratio B/C 2.24.4.4 Risk assessmentThe results <strong>of</strong> the sensitivity analysis are shown in figures 3.13, 3.14 and 3.15, with reference, respectively,<strong>to</strong> the FRR(C), the FRR(K) and the ERR. Figures 3.16 and 3.17 show, respectively, the sensitivity <strong>of</strong> theFNPV(C) and the FNPV(K) and the ENPV <strong>to</strong> variations in the inflation rate.The following variables are identified as critical for the financial analysis (the table shows the relativevariation <strong>of</strong> the FRR(C) and <strong>of</strong> FRR(K) due <strong>to</strong> changes from -1% <strong>to</strong> +1% in the critical variable):Table 4.42 Critical variables for financial analysisCritical variable % <strong>of</strong> FRR(C) % <strong>of</strong> FRR(K)Investment cost ± 4.3 ± 2.2Yearly cost <strong>of</strong> materials ± 3.4 ± 2.4Yearly cost <strong>of</strong> the intermediate goods and services ± 5.4 ± 3.8Yearly cost <strong>of</strong> waste sludge disposal ± 4.2 ± 2.9Wastewater treatment tariff ± 13.9 ± 9.8Industrial water supply service tariff / Industrial water demand ± 5.5 ± 3.9The following variables are identified as critical for the economic analysis (the Table shows the <strong>to</strong>talrelative variation <strong>of</strong> the ERR due <strong>to</strong> changes from -1% <strong>to</strong> +1% in the critical variable):Table 4.43 Critical variable for economic analysisCritical variable% <strong>of</strong> ERR(C)Investment cost ± 0.8Improvement <strong>of</strong> the crop production in the well irrigated agricultural area ± 0.8Account price for savings in groundwater resources ± 0.4The risk analysis <strong>of</strong> the project has been carried out by assigning appropriate probability distributions <strong>to</strong>the critical variables, identified as explained above. Table 4.44 shows the assumptions made for theprobability distributions <strong>of</strong> the variables.101Due <strong>to</strong> the leakage and other reasons.102The weighted average <strong>of</strong> the CF’s applied <strong>to</strong> the categories <strong>of</strong> <strong>investment</strong> is applied <strong>to</strong> the long life <strong>investment</strong> value. The CF used for theequipment, machinery, manufactured goods, carpentry, etc. is applied <strong>to</strong> the replaced parts.175

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