changes - varying the level <strong>of</strong> the alternatives’ attributes allows measurement <strong>of</strong> the individual’swillingness to substitute one attribute for another. Economic values may be estimated if one <strong>of</strong> theattributes is measured in economic terms (dollars, taxes, jobs, etc.).The traditional CJ ratings models have tried to explain the ratings difference betweenprograms having differing attributes using a linear relation ship between the attributes such that therating for program is given byri= k + β q + β q + ... + β q + β pi ii i1 1 2 2k k p(3)Differentiating (3) totally givesdri= ...iiii0 = β1dq1+ β2dq2+ + βkdqk+ βpdp(4)From (4), one can find the marginal rate <strong>of</strong> substitution between any <strong>of</strong> the quality attributes or pricei iin the bundle. For example, dp / dq1 = −b1/ bpgives the implicit price <strong>of</strong> attribute q1 . The majority<strong>of</strong> the conjoint studies before 1990 used this implicit price format.In non-market valuation and natural resource damage assessment, the policy maker needs toassess welfare changes from changes in environmental quality. An individual’s rating <strong>of</strong> a singlecommodity does not provide the information necessary to estimate changes in welfare [Roe et al.(1996)]. CJ models are increasingly being formulated in a random utility framework, which does allowthe measurement <strong>of</strong> changes in welfare.Random utility models (RUM), which are widely used in dichotomous choice contingentvaluation and travel cost models, rely on choice behaviour. RUM models estimate the probability thatan individual will select a choice based on the attributes <strong>of</strong> each possible choice. If the utility <strong>of</strong>alternative, i is greater than the utility <strong>of</strong> alternative j, the individual will choose i. Utility is comprised<strong>of</strong> both deterministic and random components.The RUM framework is directly estimable from conjoint rankings and binary choice models.Recently, alternative CJ models that allow the estimation <strong>of</strong> welfare impacts from ratings data, whichcontain cardinal information, have been formulated as well.Following Roe et al. (1996) and Stevens et al. (1997),i i iU ( p , q , m,z)(5)Where the utility <strong>of</strong> program i for the individual is a function <strong>of</strong> the price <strong>of</strong> i (explicit or implicit),the attributes <strong>of</strong> i , m is income, and z represents individual characteristics. Utility is related to anindividual’s rating <strong>of</strong> a program by a transformation function φ .A move fromi i ii i ir ( p , q , m,z)= φ[v ( p , q , m,z](6)0q (attribute bundle zero) toi i i ir ( p , q , m − C , z)− r0( p0, q01q is given by,, m,z)= 0(7)113
iwhere C is the income adjustment necessary to leave the individual as well <strong>of</strong> with bundle i as shewas with bundlei0 (compensating variation). Rearranging (3) and solving for C yields,i0 0 0i iC = m − g[r ( p , q , m,z),p , q , z](8)iWhere g is the inverse <strong>of</strong> r with respect to income. If we assume that marginal utility <strong>of</strong> income islinear, then the difference in ratings is given by, 27i i iiir ( p , q , m,z)= r(q , z)+ a(m − p )(9)By taking differences the income variable drops out, thus,i i i 0 i0i o∆ r ( p , q , q , z)= r(q , z)− r(q , z)− a(p − p ) (10)Roe et al. (1996) show that compensating variation can be obtained from the above by adding or0subtracting dollars from ( p i − p ) until the change in ratings ( ∆r)equals zero. Then compensatingvariation for a change from0q toCiiq is given by0r(q , z)− r(qii 0= [{, z)}/a]− ( p − p )(11)Binary response (choose one) conjoint can be estimated from (7) using the standard random utilitymodel:i i ii 0 0 00Pr( i)= Pr{ v ( p , q , m,z)+ ε > v ( p , q , m,z)+ ε }(12)The probability that the program having attributes i is chosen is the probability that the indirect utility<strong>of</strong> program i plus a random error is greater than the indirect utility <strong>of</strong> program 0 and its error term.Methodology: Survey Design and Statistical AnalysisConjoint models individuals’ preferences by considering the trade<strong>of</strong>fs that they are willing tomake. The use <strong>of</strong> focus groups comprised <strong>of</strong> individuals drawn from the population <strong>of</strong> interest allowsthe researcher to determine what attributes are important to the survey population. Further, the focusgroup allows the researcher to hone in on changes in the levels <strong>of</strong> an attribute that are salient to thesurvey respondent.Conjoint surveys by their nature are complex. Each possible choice comprises bundles <strong>of</strong>attributes, with each attribute having different levels. These choices are more readily presented byproviding an information packet that may include black and white illustrations and descriptions <strong>of</strong>attributes and levels. Because <strong>of</strong> this complexity, most studies to date have used a mail-in format.Four types <strong>of</strong> conjoint surveys can be constructed. A ranking format asks the subject to rankalternative scenarios (1, 2…7, etc.) each with different attributes and levels from most to least27This is standard in the extant literature, however marginal utility <strong>of</strong> income need not be linear.114
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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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Box 1.2 Value of Turkey’s Forests
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of the most important implications
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Additionally, valuation does not ju
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value is the habitat, many differen
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are very modest. More recently, new
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Table 2.2 Estimates of the Medicina
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The importance of indirect use valu
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pharmaceutical use, although the li
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McAllister, D., (1991). Estimating
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Simpson, D and Craft, A.. (1996).
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practice, the overlap between these
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aimed at giving more precise quanti
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structural values. There are a numb
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Reid (forthcoming) discusses the po
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Ecotourism as a Way to Generate Loc
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endangered Indian rhino and other t
- Page 55 and 56: ReferencesBann, C., and M. Clemens
- Page 57 and 58: PART 261
- Page 59 and 60: many European countries, CBA has a
- Page 61 and 62: (1) Cost and time constraintsThe co
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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
- Page 73 and 74: CHAPTER 5:by José Manuel LIMA E SA
- Page 75 and 76: linkages usually lead to diverse co
- Page 77 and 78: A discrete choice approach to quest
- Page 79 and 80: Table 5.2 Model-based point estimat
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- Page 87 and 88: measures of value. An appendix to t
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- Page 97 and 98: which many people argue are associa
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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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