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Valuation of Biodiversity Benefits (OECD)

Valuation of Biodiversity Benefits (OECD)

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Developing ecosystem value indicesThe Basis <strong>of</strong> an Indicator SystemThe conceptual basis <strong>of</strong> the proposed indicator system is a widely used analytical tool calleda production function. 36This is a relationship that shows how the quantity and composition <strong>of</strong> theoutputs <strong>of</strong> a productive process are related to the quantity and composition <strong>of</strong> inputs that are used inthe process. Production functions are at the core <strong>of</strong> most economic studies related to industrial,agricultural, and manufacturing operations. They are also the source <strong>of</strong> many indicator systems thatare used to determine the risks and potential pay<strong>of</strong>fs from corporate investment portfolios. Theavailability <strong>of</strong> inputs and the likely effects <strong>of</strong> controllable and uncontrollable risks on the availability<strong>of</strong> inputs are critical determinants <strong>of</strong> how reliable and how valuable a productive process is. Rules <strong>of</strong>“comparative advantage”, “marginal value product”, and “derived asset value” are all based on theconcept <strong>of</strong> the production function. 37Mathematical production functions are usually based on underlying engineeringrelationships, but many times they include uncontrollable relationships related to natural systems. Infisheries and agriculture, for example, many <strong>of</strong> the input categories that are used in productionfunctions are natural and uncontrollable and are frequently represented by indicators (e.g., soilproductivity, fish abundance, weather). 38Production functions that treat ecosystem services as anoutput and on-site and <strong>of</strong>f-site indicators <strong>of</strong> resource conditions as inputs are not much different fromother forms <strong>of</strong> production functions. In the indicator system that is introduced here, on-site inputs areassumed to affect the capacity <strong>of</strong> the site to provide functions and certain <strong>of</strong>fsite or landscape inputsdetermine the “rate <strong>of</strong> capacity utilization.” Other landscape indicators reflect the likelihood that thefunctions provided at the site will generate services, that the services will have value, and that the flow<strong>of</strong> services is sustainable.Types <strong>of</strong> IndicatorsAccepting the premise that the economic value <strong>of</strong> an ecosystem is derived from theeconomic value <strong>of</strong> the services it is expected to provide over time has some clear implications forvalue-based indicator development. It means that the effort should focus on forecasting, not on363738The concept <strong>of</strong> the production function as a general relationship between inputs and outputs isdescribed in all standard microeconomics texts (e.g., Samuelson and Nordhaus1995, elementary;Mankiw 1997, elementary; and Varian 1992, intermediate). Clark (1976) describes the use <strong>of</strong>mathematical production functions in natural resource industries where the results <strong>of</strong> natural processesprovide a basis for developing indices <strong>of</strong> critical inputs.One production process is said to have a “comparative advantage” over another if it can provide thenecessary conditions for production at a lower cost. The “marginal value product” <strong>of</strong> an input (MVP)is the incremental increase in the output that results from an incremental increase in the use <strong>of</strong> theinput multiplied by the price <strong>of</strong> the output; inputs are usually purchased until the MVP declines to theinput price level. “Derived asset value” refers to the fact that the economic value <strong>of</strong> an asset can beestimated as the sum <strong>of</strong> the net economic value <strong>of</strong> the stream <strong>of</strong> services it is expected to provide overtime discounted to their present value.The production function used in fisheries, for example, is referred to as the classic catch equation(C=qEP) and includes three indices representing; fish abundance (P), the catchability <strong>of</strong> fish and thepower <strong>of</strong> fishing gear (q), and fishing effort (E). A description <strong>of</strong> bioeconomic production functionsand the characteristics <strong>of</strong> capital and resource indicators in them is provided in Clark (1976).132

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