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Economic Effects of Sustainable Sanitation - SuSanA

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Case Study Kampala<br />

Table 7: Sensitivity <strong>of</strong> system A to increasing fuel- and tank truck/truck prices, incentive costs, project<br />

lifetime, supply chain failure and transport distance reduction<br />

Small scale II Large scale<br />

N demand [kg/month] 1 808 1 808 11 663 11 663<br />

Scenario<br />

Current fuel<br />

price<br />

Fuel price + 25%<br />

Current fuel<br />

price<br />

Fuel price + 25%<br />

Mon. return on sales [%] 10.87 3.01 21.7 13.79<br />

Effect [%]<br />

(Fuel price incr.: 25%) 82<br />

-72.31 -36.45<br />

Scenario<br />

Current tank<br />

truck/truck price<br />

Tank truck/truck<br />

price + 25%<br />

Current tank<br />

truck/truck price<br />

Tank truck/truck<br />

price + 25%<br />

Mon. return on sales [%] 10.87 5.40 21.7 17.04<br />

Effect [%]<br />

(Truck price incr.: 25%) 83<br />

-50.32 -21.47<br />

Scenario<br />

Current incentive<br />

level<br />

Incentive level +<br />

25%<br />

Current incentive<br />

level<br />

Incentive level +<br />

25%<br />

Mon. return on sales [%] 10.87 6.5 21.7 17.34<br />

Effect [%]<br />

(incent. incr.: 25%) 84<br />

-40.20 -20.09<br />

Scenario<br />

5 years project<br />

lifetime<br />

8 years project<br />

lifetime<br />

5 years project<br />

lifetime<br />

8 years project<br />

lifetime<br />

Mon. return on sales [%] 10.87 19.68 21.7 29.98<br />

Effect [%]<br />

(incr. proj. lt.)<br />

81.05 38.16<br />

Scenario<br />

No supply chain<br />

failure<br />

Supply chain<br />

failure 3d/m<br />

No supply chain<br />

failure<br />

Supply chain<br />

failure 3d/m<br />

Mon. return on sales [%] 10.87 8.77 21.7 19.59<br />

Effect [%]<br />

(sup. chain failure)<br />

-19.32 -9.72<br />

Scenario<br />

50 km: storage<br />

site - farm<br />

25 km: storage site<br />

- farm<br />

50 km: storage<br />

site - farm<br />

25 km: storage site<br />

- farm<br />

Mon. return on sales [%] 10.87 23.96 21.7 41.5<br />

Effect [%]<br />

(dist. reduction)<br />

120.42 91.24<br />

System B<br />

Same as in system A the order <strong>of</strong> the items should not be mis- or over-interpreted, since the<br />

input parameters <strong>of</strong> the modifications are not comparable (cf. Table 8). The reduction <strong>of</strong> the<br />

distance storage site to farm by 50% led to the biggest effect. The return on sales rose by<br />

127.27% in the small scale II- and 66.46% in the large scale scenario. The extension <strong>of</strong> the<br />

project lifetime caused the same effect in the small scale II scenario (127.27%) and the third<br />

largest in the large scale scenario (31.46%), illustrating the contribution <strong>of</strong> the depreciation or<br />

lifetime <strong>of</strong> the investments. Increasing nutrient prices, which are not applicable for system A,<br />

but have been included in this analysis, resulted in a reduction <strong>of</strong> the return on sales <strong>of</strong><br />

102.92% and 35.56% in the small scale II- and large scale scenario, respectively. Since urea<br />

is utilised in the sanitisation process <strong>of</strong> faeces, the price changes <strong>of</strong> synthetic fertiliser directly<br />

affect the pr<strong>of</strong>itability <strong>of</strong> the logistics system. Increasing fuel prices resulted in a reduction <strong>of</strong><br />

82 At the time <strong>of</strong> data collection (late 2009) the price for 1 litre <strong>of</strong> diesel fuel was 0.71 EUR.<br />

83 Tank truck and truck prices are based upon interview information with logistic service providers.<br />

84 The incentive for the delivery <strong>of</strong> one container (jerrycan or faeces-box) is 0.04 EUR.<br />

68

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