And can we justify ambitious targets?
It is
easy, for anyone concerned about the future of the planet and our place on it,
to assume that formal economic analysis of the case for mitigating climate
change is almost redundant or has only limited value in determining the course
of action we should take. However, Simon Dietz’s strongly recommended presentation
at the Oxford Martin School last week[1]
was a timely reminder both that we cannot in practice escape responsibility for
some balancing of costs and benefits, and that, in spite of the limitations, trying
to answer that question can still yield valuable recommendations and insights.
Weaknesses
in the economic calculus
The
weaknesses of conventional applied economics, especially cost benefit analysis,
in quantifying issues on the scale of climate change are widely recognised.
Some of
the weaknesses are of a technical, conceptual or even philosophical nature. In
dealing with risk and uncertainty, there is little or no empirical basis for
assessing probability distributions. Non-linearities and non-market effects
present technical challenges. The policy choices are a long way away from the world
of marginal analysis in which cost benefit analysis (CBA) is typically more
comfortable. Distributional and inter-generational inequalities bring in
philosophical and ethical questions, and economics still lacks a
philosophically sound and universally accepted basis for time discounting.
An even
bigger issue perhaps has been the inability of conventional macro-economics to
capture the complexities, or indeed the potential scale, of major disruptions
caused by climate (or, arguably, other non-marginal or disruptive changes such
as Brexit). So-called integrated
assessment models (IAMs) purport to capture complex feedbacks between climate
impacts and economic output, but the judgment from academics on IAMs has been damning[2]. Such models come “close to assuming directly
that the impacts and costs will be modest, and close to excluding the
possibility of catastrophic outcomes”, according to Nicholas Stern[3]. In other words, they largely assume away the
problem they are supposed to be analysing. It is for these reasons that CBA
arguments have become the new line of defence for climate sceptics whose
refusal to accept the science has clearly become untenable.
In plain
language, Robin Harding in the FT[4]
claimed that
… one standard model only gives
damage greater than 50 per cent of output with 20oC of warming.
Combine that with the assumption that the economy will be many times bigger in
the future and the problem is clear. Your grandchildren might be cooking in
their own fat on the London Underground, but rather than regarding them as
dead, these economic models would regard them as wealthier than you. …
… After the financial crisis, the world did not
construct vastly complicated models to estimate the chances of another meltdown
and the damage it would cause. Policy makers simply recognised that regulations
such as the US Dodd-Frank Act are a small price to pay for preventing a repeat
performance. It is time to take a similar risk-based approach to the greater
problem of climate change.
But we
still need to choose between 2 oC and 1.5 oC targets
Simon
Dietz’s presentation focused very clearly on a current issue – the case for,
and practicality of, adoption of the aspirational 1.5oC target that
arose from the COP 21 Paris Agreement. He pointed out, correctly, that the
lower target would remove a very substantial part of the “remaining carbon
budget”, and that this required unprecedented rates of reduction in carbon
emissions, leading us inter alia to early “zero carbon” and the necessity of
carbon capture. Other calculations implied a high implicit carbon price of $100
per tonne of CO2, or more.
Defending
cost benefit analysis, at least partly on the basis that alternatives faced,
and similarly failed to resolve, most of the same difficult issues as CBA, he
attempted to answer the 1.5oC question. His analysis, which neatly
side-stepped some of the methodological issues, ultimately boiled down to the
biggest uncertainty of all – estimating the cost of the damage from climate
change.
Successfully
avoiding the CBA/ modelling trap described above, of assuming away the problem,
he argued that the (wide) range of damage estimates made from an empirical
rather than an IAM approach could at the very least make a strong case for the
lower target, even if this was not conclusive in CBA terms. Subsequent discussion focused on what was or
was not included in the various estimates of the costs of climate change,
notably in relation to resource conflicts and migration.
The
conclusions may have seemed uncontroversial or even too mild to many in the audience,
especially those of us with professional exposure to climate issues, but Simon
noted that at least one distinguished economist had estimated 3.5oC
of warming, often taken to be catastrophic, as an “optimum” amount. Simon also
emphasised the importance of the “options” argument[5]
for adopting a lower target. More action now increases the room for manoeuvre as
time passes, especially if more knowledge increases the estimated risk of “tipping
points” or serious downside and catastrophic outcomes.
Reinforcing
the case for early action and tighter targets
Related
arguments have previously been advanced by the actuarial profession, who of
course have long specialised in the analysis of catastrophic risk. In 2014 Oliver
Bettis addressed an event at the Grantham Institute and argued
[6]for
a “risk of ruin” approach similar to
that used in the insurance industry. The conclusion of his analysis, and using “actuarial”
risk parameters, was that:
·
the CO2
already released (400ppm) produces unacceptable risk of ruin
·
emergency
decarbonisation may be the correct risk management response.
·
allowing
for slow feedbacks, the right target might be below 350ppm
·
removal
of CO2 from the atmosphere should be investigated.
In
qualitative terms this could be seen as a similar set of conclusions to Simon’s,
but with even more aggressive support for lower targets. Actuaries are possibly
more risk averse than economists.
And
assessing the practicality and cost
Perhaps the
most important barriers to a lower target are simply those of practicality and
cost. A badly managed and extremely disruptive re-engineering of the entire
energy sector, and indeed the entire economy, could after all bring with it its
own “risks of ruin”. It is often asserted that the costs of action are simply
unaffordable.
However,
at least in very broad macro-economic terms, the admittedly high costs of
decarbonisation appear as eminently manageable when compared to other major
disruptive impacts on the world economy. At a national level for example, if we
take Simon’s very approximate estimate of $100 per tonne, and apply it to UK
emissions of about 500 million tonnes of CO2, we get a cost of c. 1.4%
of GDP; this is consistent with the 1-2 % range common in post Stern
discussions of the cost of action necessary to curtail emissions to a “safe”
level. As often pointed out, this might mean reaching a particular standard of
living less than12 months later by 2050.
While in
most contexts 1-2 % of GDP is a substantial quantity, it is comparable to other
energy and other commodity price shocks that the world economy has absorbed,
mostly without ruinous dislocations. Notably these include the multiple oil
price shocks of the last 45 years. Compared
to the impact of the 2008 financial crash and its consequences, estimated to
have cut GDP by as much as 15%, or to current expectations of the possible near
term cost to the UK of Brexit, the cost of climate action can be seen as modest
and eminently affordable.
Intellectually
therefore the case for ambitious climate action is strong. Less well developed
are, first, the levels of political support and, second, agreement on, and
acceptance of, the actual means to get
there. But that, as they say, is a series of stories for another day.
[2] Pindyck,
Robert S. 2013. "Climate Change
Policy: What Do the Models Tell Us?" Journal of Economic Literature, 51(3): 860-72. Pindyck is
particularly scathing.
A plethora of
integrated assessment models (IAMs) have been constructed and used to estimate
the social cost of carbon (SCC) and evaluate alternative abatement policies.
These models have crucial flaws that make them close to useless as tools for
policy analysis: certain inputs (e.g., the discount rate) are arbitrary, but
have huge effects on the SCC estimates the models produce; the models'
descriptions of the impact of climate change are completely ad hoc, with no
theoretical or empirical foundation; and the models can tell us nothing about
the most important driver of the SCC, the possibility of a catastrophic climate
outcome. IAM-based analyses of climate policy create a perception of knowledge
and precision, but that perception is illusory and misleading.
[3] The Structure of Economic Modeling of the
Potential Impacts of Climate change: Grafting Gross Underestimation of Risk
onto Already Narrow Science Models / Nicholas Stern. Journal of Economic
Literature, Vol. 51, N° 3, pp. 838-859, September 2013
[4] Robin Harding. 2014. “A high price for ignoring the risks of
catastrophe.” Financial Times. 18 February 2014.