The valuable services <strong>of</strong> living resources are <strong>of</strong>ten identified with components themselves.For example: (1) birds for a birdwatcher; (2) particular genes for a plant breeder who creates new,disease-resistant, varieties; or (3) different landscape elements that enhance the aesthetic experience <strong>of</strong>visitors and local dwellers. Sometimes, these services do not depend on use but only on knowing aboutthe continued existence <strong>of</strong> a living component, as it is the case with people having existence values forwhales. Very <strong>of</strong>ten, valuable services are provided not directly by components, but by functions ordynamic processes at particular levels <strong>of</strong> organisation: (1) soil protection by vegetation; (2) nutrientrecycling by bacteria in soils; or (3) the colonisation <strong>of</strong> burnt areas by seeds coming from remainingvegetation patches.Although some valuable functions and dynamic processes are enhanced by higher levels <strong>of</strong>biodiversity, this is not always the case; even when it is, the relationship may not be simple andself-evident [Odum (1971)]. So, some valuable services <strong>of</strong> biological resources are not linked tobiodiversity levels. However, in this paper, we indistinctly use the term biodiversity polices for allpolicies aimed at preserving the services <strong>of</strong> biological resources.Many public policies, particularly biodiversity polices, have an impact on living resources.They can change their components, structure, function or dynamics at different levels. Thus, they willlikely change the services provided by biological resources, and, therefore, the wellbeing <strong>of</strong> thosebenefiting from those services.How should these welfare effects <strong>of</strong> policy affect policy decisions? The economist’s answerassumes that the relevant value concept is people’s values for the affected services, that is: theamounts <strong>of</strong> other valued things (income) they are prepared to give up for these services.Accordingly, these values should directly enter as an input into any policy decision implyingthese trade-<strong>of</strong>fs <strong>of</strong> economic income for the services <strong>of</strong> biological resources. Examples <strong>of</strong> thesedecisions are: (1) deciding whether to go ahead with a biodiversity scheme (by weighing conservationbenefits against the corresponding social cost); (2) selecting the best biodiversity policy mix (onsocial-welfare grounds); and (3) prioritising lines <strong>of</strong> action for a biodiversity strategy when, as always,policy funds are scarce.Determining how the services <strong>of</strong> biological resources are affected by policy is a task forbiologists, landscape ecologists and other scientists. The applied economist’s task is to measure howpeople’s wellbeing is affected by these changes in service levels, by measuring people’swillingness-to-pay (WTP) for either avoiding degradation or getting improvements in service levels.As there are no markets for many services <strong>of</strong> living resources, WTP cannot be directlyinferred from market demands for these services. Hence, it has to be measured with non-marketvaluation techniques. These are based on either:1. value-eliciting surveys (that is: stated-preference techniques, including contingentvaluation, contingent ranking and choice experiments); or2. value-traces implicit in observed behaviour and revealed by modelling this behaviour(that is: revealed-preference techniques, using hedonic-price, travel-cost oraverting-behaviour models).Most policy impacts on biological resources are inherently multidimensional in that multipleservices <strong>of</strong> these resources are affected. There are two possible causes for this. First, very <strong>of</strong>ten, morethan one component (that is: more than one individual, species or ecosystem) supplying valuableservices is directly affected. Second, even if only one component is directly affected, inter-component80
linkages usually lead to diverse components, functions or processes, and thus services, being affected.Alternatively, the affected component may deliver several services. One example is the removal <strong>of</strong>tree cover on slopes to create pasture. This may directly affect tree cover alone. However, services asdiverse as aesthetics, recreation, soil conservation, flood control and habitat, will all change as a result.This paper explores the issues raised by this multidimensional nature <strong>of</strong> biodiversity policieswhen evaluating these policies. Most <strong>of</strong> the empirical basis for the discussion comes fromcontingent-valuation studies <strong>of</strong> biological resources in the context <strong>of</strong> rural amenities (for a review seeSantos, 1998). However, the general arguments and methods apply to most policymaking contexts,independently <strong>of</strong> the particular resources, types <strong>of</strong> services and valuation techniques used. Thediscussion is conducted with an eye on the policy relevance <strong>of</strong> the reported methodological advances.The basic questions are (1) what can we learn from the reported research about policyrecommendations based on standard valuation studies <strong>of</strong> biodiversity policies; and (2) how can weimprove the methods used in these studies.The basic problem addressed here, substitution effects between multiple policy impacts onbiological resources, is first analysed in Section 2. Section 3 reviews empirical evidence on themagnitude <strong>of</strong> substitution effects and the implied independent-valuation-and-summation (IVS) bias.Section 4 derives implications for valuation studies <strong>of</strong> multidimensional biodiversity policies; Section5, implications for benefit aggregation in policy evaluation; and Section 6, implications for theselection <strong>of</strong> optimal policy mixes, namely for prioritising action lines when designing biodiversitystrategies.Substitution effects in the valuation <strong>of</strong> multiple-service changes I: theory<strong>Biodiversity</strong> policies typically affect multiple services <strong>of</strong> living resources at the same time.Are people’s values for each service dependent on the levels <strong>of</strong> the other services that are alsochanging? Theoretical reasons and empirical evidence discussed below lead us to believe that this isvery <strong>of</strong>ten the case. And, if this is so, it has important practical consequences for:(1) valid implementation <strong>of</strong> non-market valuation techniques to measure WTP for theservices <strong>of</strong> biological resources affected by policy;(2) valid benefit aggregation across multiple services, as it is usually required for policyevaluation;(3) valid cost-benefit procedures used to select the best policy mix for biodiversityconservation.If these issues are not adequately addressed, the results <strong>of</strong> policy analysis will be biased and,depending on the magnitude <strong>of</strong> the bias, there will be a non-trivial probability <strong>of</strong> recommending thewrong policy decision.So, let us return to the initial question: are people’s values for a service <strong>of</strong> a biologicalresource dependent on the levels <strong>of</strong> other such services? Economic theory provides a strong rationalefor an affirmative answer: substitution effects.Let us exemplify with a simple multi-site problem. Suppose that we want to value thebenefits <strong>of</strong> conserving the same ecosystem, say deciduous woodland, in two areas located close toeach other and visited by the same population. Very likely, each individual visitor perceives the twowoods as close substitutes. Thus, suppose that a conservation scheme for wood A alone is considered,with woodland disappearing from area B. Suppose an individual is asked how much is he prepared topay for wood A and that his answer is US$ 10. Probably, because the areas are similar, he would also81
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«ENVIRONMENTValuation ofBiodiversi
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ORGANISATION FOR ECONOMIC CO-OPERAT
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TABLE OF CONTENTSPART 1 ...........
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PART 4 ............................
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Why value biodiversity?There are th
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Figure 1.1 Total economic value: us
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from biodiversity at the local leve
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in the database and also for undert
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in the policy context. This is high
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Table 1.3 Policy Options for the Cl
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- Page 67 and 68: error in valuing respiratory sympto
- Page 69 and 70: ReferencesArrow, K.J., R. Solow, E.
- Page 71 and 72: OECD (1995). The Economic Appraisal
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description, and that the usefulnes
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2) Service capacity sub-indexIndica
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wetlands, for example, results in F
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(1) Functional CapacityIndexFigure
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constituents of runoff can be predi
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Service(on or off site)Recreational
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Table 7.3 Service Risk Sub-index De
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Measuring Service Preference Weight
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Table 7.4 Illustration of Paired Co
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PART 4151
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Ecological foundations for biodiver
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Phenotic diversity is a measure bas
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Operationalisation of the biotic-ri
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ten attributes that could score a m
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The choice of the scale relates to
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Nature measurement methodIn 1995, t
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Table 8.4 Value orientations and en
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Table 8.5 Identification of monetar
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Table 8.6 Valuation studiesSingle s
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in waterway systems for nine impact
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to other contexts, conditions, loca
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ReferencesAkcakaya, H.R. (1994).
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de Groot, R.S. (1994). “Environme
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Mace, G. M. & S. N. Stuart. (1994).
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Turner, R.K., Perrings, C. and Folk
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John A. DixonJohn A. Dixon is Lead
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Robert O’NeillDr. O’Neill recei
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Steven StewartSteven Stewart is Ass
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