A key part of the MEDIATION project has been to identify
the strengths and weaknesses of the different approaches for
adaptation. A summary is presented below.
The
main strength of portfolio analysis is that it provides a structured
way of addressing (climate change) uncertainty through the
identification of suitable combinations of options, expressing the
effectiveness of alternative portfolios, and the risk associated with
each, in quantitative terms.
This provides a
technique for managing the uncertainty from climate change that the
analysis of individual adaptation options does not allow.
A
major advantage of the approach is it can work with different metrics
for returns, assessing benefits in economic terms, or with the analysis
of non-monetary (physical) effectiveness. This allows applications in
market sectors but also non-market sectors such as biodiversity and
ecosystem services.
The use of the efficiency
frontier is an effective way of presenting (and visualising)
alternative portfolio options, and the trade-offs between risk and
reward involved in alternative choices.
The main
disadvantage is that the technique is resource intensive, and requires
a relatively high degree of expert knowledge and judgement. It relies
primarily on the availability of data on effectiveness (return) and
variance / co-variance. In the formal application, it requires
probabilities (or other assumptions, such as scenario likelihood
equivalence).
Key strengths
Provides a structured way of
quantifying portfolios of options to address climate change uncertainty,
which analysis of individual adaptation options does not
allow.
Measures “returns”
using various metrics, including physical effectiveness or
economic efficiency, thus broad applicability in market and non-market
sectors.
Use of the efficiency frontier is an
effective way of visualising results and the risk-return
tradeoffs. | Potential weaknesses
Resource intensive and requires
a high degree of expert knowledge.
Relies
on the availability of quantitative data (for effectiveness
and variance/co-variance).
Requires
probabilistic climate information to be imposed, or an
assumption of likelihood equivalence between alternative
scenarios. |