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Valuation is necessary to address when monetary values of outcomes are considered important. The point of departure for valuation is those goods which people buy and sell on the market, like bread, butter, or bicycles. Their value can be established by observing at the average prices that people pay for them. As prices are changing over time, a base year can be established, and a correction for inflation of values obtained in the past or estimated for the future. From the simple case, there are several characteristics of outcome attributes make it more difficult to assign monetary values to them. These must be addressed by different valuation methods, the selection of which is described via a decision tree in the Pathfinder. These different valuation tasks are described in Table 3.11.1 and examples are presented.

Table 3-11.1: Valuation methods

Method type Valuation
Sub-types Non-market outcomes Indirect outcomes Intertemporal outcomes Uncertain outcomes
Task Assign value to outcomes of an adaptation option.
Characteristics of AS An actor faced with a decision.
A common metric, e.g. money, can be applied across a range of outcomes and implications of a particular choice.
Prices change over time; therefore it is appropriate to specify a base year for valuation, correcting for inflation.
Value of outcomes by looking at the average prices that people pay for them. Outcomes of a choice are large scale and cause significant indirect effects. Value placed on outcomes is a function of time. Value placed on outcomes is a function of how certain the outcomes are.Estimate of utility function.
Probability density function of outcomes is known
Results A value assigned to each outcomes via common metric.
Example cases An example of the hedonic pricing method would be examine the extent to which workers in higher risk jobs are paid than workers in comparable jobs of lower risk; from this is, it is possible to impute a value to that risk.

A second example is van Bustic et al. (2011) who apply a hedonic framework to estimate the value of climate change impacts by estimating their impact on real estate prices near ski resorts in the western United States and Canada. They use data on individual home sales in four locations,
combined with weather data and characteristics of nearby ski resorts, to estimate effects of snowfall changes on housing
values.

An example of contingent
valuation (CV) would be to ask
people how much they would be
willing to pay, in the form of
higher taxes, to protect a rare
bird species; from this it is
possible to impute a value to
that species’ existence. Arrow et
al. (1993) develop a set of
guidelines to applying CV to
environmental and natural
resources.

An example of the travel cost
method would be to survey
visitors to a national park about
where they came from,
identifying a relationship
between the numbers visiting
and the cost of visiting; from
this it is possible to calculate the
total consumer surplus of all
visitors to the park, given that
many visitors have to pay less in
travel than they would be
willing to pay. For example,
Hamilton et al. (2005) apply the
travel cost method to develop a
model estimate the impacts of
climate change on international
tourism flows.
The simplest takes an empirically derived  multiplier, a number like 3. For every euro in direct benefits, the society as a whole will experience €2
additional in indirect benefits, through the increase in consumption.

Computable general equilibrium modelling (CGE): Modelling the economy as a whole, and assuming that after the ripples are done rippling, it will settle into a new equilibrium, with a different overall level of consumption. Partial or general equilibrium models allow one to estimate consumption levels, and hence total value, in the new equilibrium.

For example, Willenbockel et al. (2011) run a multi-sectoral regionalised dynamic computable general equilibrium model of Ethiopia with a system of country-specific hydrology, crop, road and hydropower engineering models to simulate
the economic impacts of climate change towards 2050. They find that without externally funded
adaptation investments Ethiopia’s GDP in the 2040s will be up to 10 percent below the counterfactual no-climate change baseline.
Economists typically use a discounting function to decrease the importance of effects occurring further in the future. The most common functional form is exponential. Here there are debates about the appropriate discount rate to apply in that model, with most people arguing a rate somewhere between 0 and 10% being correct (see e.g. Stern 2006).One example of this is expected utility theory (Von Neumann and Morgenstern 1953) describes the conditions necessary for rationa  individuals to assign expected
utility to a set of outcomes. The utility assigned to uncertain outcomes depends on the riskaversion
of the decision-maker.

Yohe et al. (2011) address the question of valuing adaptation options to the stochastic events
related to sea-level rise in the coastal zone. They find that increases in decision-makers’
aversion to risk increase the
economic valu of adaptations that reduce expected damages and diminish the variance of their inter-annual variability. For engineering and other adaptations that require large upfront costs and ongoing operational cost, increases in risk aversion increase the value of adaptation and therefore make implementation of these options economically efficient at an earlier date.that reduce expected damages
and diminish the variance of
their inter-annual variability. For engineering and other
adaptations that require large upfront costs and ongoing
operational cost, increases in risk aversion increase the value of adaptation and therefore make implementation of these options economically efficient at an earlier date.
Issues involved The travel cost method is
challenged by the fact that
important costs of a trip may be
unobservable. On the other
hand, multi-purpose trips may
cause the method to over value
an environmental resource.

Contingent valuation has been
found to be highly dependent on question framing, e.g. Willingness to Accept surveys produce higher values for
resources than Willingness to Pay surveys.
Behavioural research shows that most individuals do not apply an exponential model to their own decisions, but rather a hyperbolic model, in which the difference in value between an event occurring now and
occurring one year in the future is much greater than the difference in value between an event occurring one year in the future and occurring two years in the future.

Pathfinder

Related decision tree of the Pathfinder

Decision tree: Valuation in section Formal decision making
Decision tree: Valuation in section Impact analysis

Toolbox detail pages

Access Toolbox detail pages to learn more on selected methods and tools.

M-CACES

The texts on this page are based on the draft UNEP PROVIA guidance document on methods for climate change impacts, vulnerability and adaptation assessment

© PROVIA / MEDIATION Adaptation Platform 2013 - 2015