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Cost benefit analysis of peri-urban land use policy - Plurel

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Table 20: Best guess values<br />

Best guess<br />

Criterion <strong>of</strong> selection<br />

Biodiversity zone £8201/ha/year A UK-based estimate<br />

Hydrological zone<br />

Median value <strong>of</strong> the selected original<br />

£185/ha/year<br />

estimates (temperate zones)<br />

Agricultural zone<br />

No point estimation is<br />

needed.<br />

-<br />

Public enjoyment and<br />

Median value <strong>of</strong> the selected original<br />

£2.70/visit<br />

access zone<br />

estimates (all UK based)<br />

Source: Authors’ own calculation<br />

By using the post estimates chosen above, the differences in economic <strong>benefit</strong>s between scenarios with<br />

intervention and the one without are shown in<br />

Table 21 below and Figures 3 and 4 below. The results confirm that scenarios with interventions have<br />

greater <strong>benefit</strong>s than the scenario <strong>of</strong> no <strong>policy</strong> interventions. The <strong>benefit</strong>s <strong>of</strong> the maximum wet<strong>land</strong><br />

vision outweigh those <strong>of</strong> the no intervention one by from £14.2 million/year to £21.1 million/year<br />

(2008£), depending on the timing and socioeconomic conditions in the future. In comparison, the<br />

<strong>benefit</strong>s <strong>of</strong> the integrated vision exceed those <strong>of</strong> the no intervention vision by between £6.2<br />

million/year and £9.2 million/year (2008£).<br />

Table 21: Net economic <strong>benefit</strong>s <strong>of</strong> interventions (undiscounted 2008£/year)<br />

2015 2020 2025<br />

Maximum wet<strong>land</strong> vision v.s. No intervention vision A1 15,610,318 17,280,579 21,142,543<br />

A2 15,171,076 16,750,499 19,972,223<br />

B1 14,606,431 15,040,715 17,443,237<br />

B2 14,214,033 14,643,321 16,547,623<br />

Integrated vision v.s. No intervention vision A1 6,888,028 7,198,332 9,170,293<br />

A2 6,663,746 7,113,321 8,758,368<br />

B1 6,375,432 6,091,898 7,318,652<br />

B2 6,175,070 5,875,253 6,847,610<br />

Source: Authors’ own calculation<br />

52

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