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

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Applying Economic Valuation to Peri-Urban Land<br />

Use Scenarios: The case <strong>of</strong> Leipzig<br />

Tim Taylor<br />

Department <strong>of</strong> Economics<br />

University <strong>of</strong> Bath<br />

*corresponding author: email ecstjt@bath.ac.uk<br />

Introduction<br />

The application <strong>of</strong> green accounting techniques to the case <strong>of</strong> scenarios under the<br />

PLUREL project requires the <strong>use</strong> <strong>of</strong> a variety <strong>of</strong> techniques. This paper outlines the<br />

application <strong>of</strong> the methods in a limited way for the case <strong>of</strong> Leipzig. A range <strong>of</strong> indicators<br />

were developed under the PLUREL project, for which a limited amount <strong>of</strong> valuation can<br />

be applied. In this paper we evaluate first the impact <strong>of</strong> the scenarios on GDP, on carbon<br />

storage and on green space.<br />

The paper is structured as follows. First, the methodology is presented for GDP, carbon<br />

storage and open space estimation and valuation. Second, results are presented for the<br />

case <strong>of</strong> Leipzig. Finally, some conclusions are drawn as to the implications <strong>of</strong> different<br />

indicator values.<br />

Methodology<br />

GDP<br />

A document review was conducted <strong>of</strong> the scenarios constructed in M1 (see Ravetz &<br />

Rounsevell, 2008, for a brief description) and M3 to assess the appropriate method to<br />

estimate the GDP indicators. In some cases these were explicitly mentioned in the<br />

briefing documents for scenario construction or statements were made about GDP growth<br />

in M3 documentation. GDP was calculated in M1 using the NEMESIS model. The<br />

estimates for GDP reported here were based on an interpretation <strong>of</strong> these model results or<br />

based on interpretation <strong>of</strong> scenarios developed in M3.<br />

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