For more than 30 years, policy makers have believed, and relied on, market mechanisms to respond to rapidly rising fossil fuel emissions and a heating planet. They have failed, and an era of climate disruption is now upon us.
Markets crave stability and fear disruption. Yet the world is entering an era of instability and uncertainty driven in part by climate-related financial risks, preventing the market generation of reliable prices. Energy markets provide just one example.
Paul Gilding聽聽in 2011 that it was an illusion to think the contradictions can be resolved within the current economic frame and that disruption and chaos was now inevitable as system failure occurs.
Five years earlier, Nicholas Stern had聽聽that 鈥減aths requiring very rapid emissions cuts are unlikely to be economically viable鈥 and disruptive because 鈥渋t is difficult to secure emission cuts faster than about 1% per year except in instances of recession鈥.
Analyst Alex Steffen聽聽that: 鈥淚t is no longer possible to achieve [an] orderly transition, to combine action at the scale and speed we need with a smooth transition and a minimum of disruption [...] We are not now capable of designing a future that works in continuity with our existing systems and practices while producing emissions reductions and sustainability gains fast enough to avoid truly dire ecological harm. This is an option that no longer exists.鈥
Risk intelligence company Verisk Maplecroft聽聽that 鈥渢here is 鈥榥o longer any realistic chance鈥 for an orderly transition for global financial markets because political leaders will be forced to rely on 鈥榟andbrake鈥 policy interventions to cut emissions鈥.
So, when all is said and done, the choice is social collapse and economic disruption, due to the failure to act fast enough, or economic disruption as a necessary consequence of emergency-level fast change.
There is no third way.
Slow change not working
Yet climate policymaking has been built on two foundational pillars: a bedrock assumption that change should be slow and incremental in a manner that not does disrupt growth or inhibit the market, or leave capital stranded; and that levers for change should be market-focused, thus the emphasis on such mechanisms as carbon prices, tradeable offsets, tax credits, new markets for carbon capture and storage with or without bioenergy and even聽.
This is reflected in Intergovernmental Panel on Climate Change (IPCC) reports and the preferred net-zero-2050 scenarios of central bankers and the fossil fuel industry.
The major fossil fuel producers and nations have ensured that their sector is not targeted by policymakers.
The COP21 Paris Agreement, for example, is almost devoid of substantive language on the cause of human-induced climate change and contains no reference to 鈥渃oal鈥, 鈥渙il鈥, 鈥渇racking鈥, 鈥渟hale oil鈥, 鈥渇ossil fuel鈥 or 鈥渃arbon dioxide鈥, nor to the words 鈥渮ero鈥, 鈥渂an鈥, 鈥減rohibit鈥 or 鈥渟top鈥.
By way of comparison, the term 鈥渁daptation鈥 occurs more than 80 times in 31 pages, although responsibility for forcing others to adapt is not mentioned, and both liability and compensation are explicitly excluded.
Instead, emphasis is given to speculative, but potentially highly-profitable, market-based solutions.
There is no better example than most economy鈥揺nergy鈥揷limate Integrated Assessment Models鈥 (IAMs) scenarios, which have聽聽IPCC mitigation pathway reports and net-zero-2050 paths.
They contort a path towards the Paris targets by 鈥 in the best Orwellian tradition 鈥 鈥渙vershooting鈥 the target and then returning to it by century鈥檚 end through an undue reliance on bioenergy with carbon capture and storage (BECCS), a technological imaginary that would pay oil and gas producers to pump gigantic volumes of carbon dioxide into wells they have emptied of fossil fuels.
The focus is on the 鈥渆fficiency鈥 of the market; in the IPCC鈥檚 most recent Working Group 3 report, the expression 鈥渃ost-effectiveness鈥 is mentioned 173 times.
Depending on how modellers perceive the roots of the problem to be solved, they聽聽鈥渄esign the model structure, including possible instruments and relationships within the model accordingly [鈥 Hence, the very structure of a model depends on the modeller鈥檚 beliefs about the functioning of society鈥.
IAMs are based on faith in the efficacy and efficiency of market-driven change and so privilege particular pathways and entice policymakers into thinking that the forecasts the models generate have some kind of scientific legitimacy.
IAMs project only gradual physical changes, in which climates will 鈥渕igrate鈥 slowly. Yet we are now in an era of physical disruption, cascades and fast change.
The models,聽聽financial analyst Spencer Glendon, quoting Thomas C. Schelling, 鈥減robably cannot project discontinuities because nothing goes into them that will produce drastic change. There may be phenomena that could produce drastic changes, but they are not known with enough confidence to introduce into the models.鈥
Thus the very models that underpin climate policymaking are not fit for purpose.
Mathematical models of the climate and the economy use quantifiable, probabilistic risk analysis to reduce complexity and high levels of uncertainty to numerical expressions and formulae, but cannot adequately express non-linear processes in the climate system.
厂肠丑别濒濒苍丑耻产别谤听聽a 鈥減robability obsession鈥 which, he said, makes little sense in the most critical instances, in part because 鈥渨e are in a unique situation with no precise historic analogue鈥.
Market solutions idealised
Corporate and state climate policies and scenarios lack appropriate non-probabilistic risk-management approaches to both the physical and social risks, and exhibit an inadequate understanding of the high-end possibilities.
Mostly, they are based on IPCC processes and methods, which are scientifically reticent and a poor basis for understanding the full range of potential outcomes.
Neo-classical economics assumes an idealised world of market participants operating with 鈥減erfect knowledge鈥 to produce smooth change and optimal outcomes via efficient prices.
If risk is quantifiable, then it can be priced, so that uncertainty is tamed by the market. But markets so far have been poor at recognising and pricing risks and聽聽the 鈥渢ragedy of the horizon鈥 and the 鈥渢ragedy of the commons鈥: hence greenhouse gas emissions continue to rise at worst-case rates.
The global economy relies on endless layers of systems that were built within the stable climate of the past, but 鈥渋nvesting in an environment where tomorrow doesn鈥檛 look like today is very tricky鈥, as Dickon Pinner, a senior partner at global management consultants McKinsey, acknowledged.
笔颈苍苍别谤听聽that if investors do not change direction now, then governments will likely 鈥渉ave to pull that lever hard [鈥 and I think that would cause a lot of massive, massive disruption鈥.聽
Climate change is not a market optimisation problem, it鈥檚 a risk problem 鈥 the risk of the loss of capitalism 鈥斅犅燬pencer Glendon. He also聽聽that the economics of climate change 鈥渨ill be seen as one of the worst mistakes humans have made鈥.
Thus the current, market-dominated approaches to managing climate risks are not efficacious, and another approach 鈥 that of state-led mobilisation 鈥 is necessary but barely on the agenda.
[This is an extract on 鈥淢arkets and disruption鈥 from David Spratt鈥檚 article,聽, published in the March edition of Slovenian journal聽.]