An economic analysis that won the highest of accolades and spawned influential followers has sharpened the threat from climate change, says Steve Keen.
One of the provisions of the Nobel Prize is that once awarded, it can never be revoked. This has led to some embarrassing gaffes with perhaps the worst to date being the award of the Nobel Prize for Chemistry in 1918. That went to Fritz Haber, who, as well as inventing what became an essential process in the manufacturing of fertilizer, had personally “supervised the first major chlorine gas attack at Ypres, Belgium, in 1915, which killed thousands of Allied troops,” (Karl Ritter, 2016 Five decisions that made the Nobel Prizes look bad).
Writing for news agency AFP in 2015, journalist, Hugues Honore, reported a comment from Swedish chemist, Inger Ingmanson, who wrote a book about Haber’s prize: “After Germany’s defeat in the war, he didn’t expect to win a prize. He was more afraid of a court martial.”
So William Nordhaus’s Nobel Prize in Economics“for integrating climate change into long-run macroeconomic analysis” is safe. But the world isn’t. When future generations look back to try to determine why humanity delayed taking action against climate change for so long, Nordhaus’s Dynamic Integrated model of Climate and the Economy (DICE) model will be regarded as one of the prime suspects.
I don’t make this claim lightly. I have attacked mainstream economists in the past for making absurd assumptions in their models1, but Nordhaus’s transgressions are in a different, and lower, league altogether. His assertion that his “damage function” – a key component of his model – is consistent with the research of climate scientists, is incorrect, and he calibrates this function using data that has nothing to do with climate change itself.
And these errors are not merely of academic interest because the Intergovernmental Panel on Climate Change (IPCC) uses his model (and very similar models used by other economists following his approach) to advise governments about the economic impact of global warming.
By provably ignoring the dangers of abrupt climate change, and by trivialising the impact of the higher temperatures that climate change will cause, Nordhaus (and his fellow mainstream climate economists) have seriously delayed action to avert severe damage from climate change.
The pivotal problem with his research is not the one often mentioned by critics — that he applies a high discount rate to future damages from climate change. Instead, the problem is the function he uses to estimate damages attributable to global warming in the first place: his so-called “damage function”.
It is a simple quadratic: he asserts that an increase in the average global temperature over pre-industrial levels of, for example, 4°C, will reduce global gross domestic product (GDP) by a constant, multiplied by 16 (the square of the temperature increase), compared to what GDP would have been in the complete absence of global warming.
The constant itself is tiny. In his latest model, the coefficient he used is 0.227%2. Since his damage function is literally nothing other than this constant multiplied by the change in temperature squared, he asserts that GDP has been reduced by 0.227% by the 1°C of warming we have already experienced, that a 2°C temperature increase will reduce GDP by four times as much (just over 0.9%), a 3°C increase by nine times as much (just over 2%), and that a 6°C increase would reduce GDP by 36 times as much (just over 8%) — see figure 1.
These are trivial changes in GDP, and by implication, in human welfare, caused by global warming. If it were true, there would be nothing to worry about. A 3.6% fall in GDP in one year is a very serious recession. But since, on Nordhaus’s calculations, it will take until 2140 to reach 4°C above pre-industrial levels (see figure 2), GDP growth over that period would have faded by a trivial 0.03% a year.
A sustained fall of 3.6% in GDP indefinitely every year from 2140 would add up to a lot as the centuries wear on. But this is where Nordhaus’s high discount rate comes in: it reduces today’s net present value of these falls to effectively zero.
Climate scientists, meanwhile, are truly panicked about a 2°C increase over pre-industrial levels. A recent paper, jointly authored by 16 climate scientists, asserted that global warming must be kept to 2°C or below, because of the risk that “a 2 °C warming could activate important tipping elements, raising the temperature further to activate other tipping elements in a domino-like cascade that could take the Earth’s system to even higher temperatures”.4
Nordhaus’s damage function doesn’t have a discontinuity, but what climate scientists are saying is that there is a discontinuity ahead. In this sense, Nordhaus’s function is like describing a canoe trip along a river with a waterfall by the statement that height above sea level falls seven metres for every kilometre paddled. That could describe the river section of the journey very well, but it would be cold comfort once you went over the waterfall.
“Society may be lulled into a false sense of security by smooth projections of global change.”
How did Nordhaus justify using a smooth function to describe the impact of Global Warming, when climate scientists are saying that there are “tipping elements” in the Earth’s climate? How can he deny that a “damage function” must have a discontinuity? By, it seems, completely failing to understand climate research.
In the manual for his DICE model, Nordhaus claims: “The current version assumes that damages are a quadratic function of temperature change and does not include sharp thresholds or tipping points, but this is consistent with the survey by Lenton et al.”5
That is just plain wrong. Lenton’s paper, clearly entitled, Tipping elements in the Earth’s climate system6, concluded:
“Society may be lulled into a false sense of security by smooth projections of global change. Our synthesis of present knowledge suggests that a variety of tipping elements could reach their critical point within this century under anthropogenic climate change,” (my emphasis).
This is the exact opposite of what Nordhaus has claimed. Climate scientists have flatly rejected his function without a discontinuity. The gradual decline in GDP predicted by Nordhaus’s model, and all the “Integrated Assessment Models” produced by economists that are part of the IPCC’s reports, are completely at odds with what the climate scientists — also writing for the IPCC — have concluded.
Tim Lenton is a climate scientist at the University of Exeter, UK, where, to quote his university webpage “he and his group are focusing on … developing early warning of climate tipping points”. His 2008 paper was a first step in identifying what components of the Earth’s climate system might trigger runaway global warming. It provided a formal definition of a tipping point, and described components of the biosphere that could be pushed into a qualitatively different state by a sufficiently large increase in global temperature as “tipping elements.” Lenton says:
“In discussions of global change, the term tipping point has been used to describe a variety of phenomena… We offer a formal definition, introducing the term ‘‘tipping element’’ to describe subsystems of the Earth system that are at least subcontinental in scale and can be switched—under certain circumstances—into a qualitatively different state by small perturbations. The tipping point is the corresponding critical point—in forcing and a feature of the system—at which the future state of the system is qualitatively altered.”7
Lenton’s survey considered only large components of the planet’s climate (systems that were that of the order of 1,000km long), and which could be triggered by the increase in temperature expected this century. He concluded:
“The greatest (and clearest) threat is to the Arctic with summer sea-ice loss likely to occur long before (and potentially contribute to) GIS [Greenland Ice Sheet] melt. Tipping elements in the tropics, the boreal zone, and West Antarctica are surrounded by large uncertainty and, given their potential sensitivity, constitute candidates for surprising society. The archetypal example of a tipping element, the THC [Atlantic thermohaline circulation – part of which is the Gulf Stream that keeps Europe warmer than it otherwise would be] appears to be a less immediate threat, but the long-term fate of the THC under significant warming remains a source of concern.”8
How on Earth did Nordhaus read this paper and think that it justified using a smooth function, rather than one with tipping points? I can’t know of course,
but I believe he either didn’t read the paper at all or, at best, scanned it until he found a sentence that appeared to support the conclusion he wanted to reach, and then stopped. There is such a sentence, at the start of the paper’s third paragraph: “Many of the systems we consider do not yet have convincingly established tipping points.”9
Read out of context, that sentence could imply that the existence of tipping points hasn’t been proven—and that therefore a smooth function like a quadratic is fine. But everything else in the paper, including the sentences either side of that one, screams that a smooth function should not be used. Curiously, Nordhaus cites this paper in the DICE manual but does not quote from it. And the reference is not in his bibliography.
“Many of the systems we consider do not yet have convincingly established tipping points.”
It’s simple to show just how misleading a smooth function is by using one that is otherwise very similar to Nordhaus’s, but does have a tipping point. This is a function which coincides with Nordhaus’s prediction about the damage from 1°Cof global warming, cubes the difference between the actual temperature and the pre-industrial level, and divides this by a tipping point temperature minus the actual temperature.
Figure 3 plots Nordhaus’s function and two functions with tipping points, one at the 2°Cpoint chosen by climate scientists (Steffen et al. 2018)9as the danger point for the planet, the other at the 4°Clevel that Nordhaus sees as “optimal” for the planet. The difference between the stylised but realistic tipping point functions, and Nordhaus’s unrealistic smooth function, are dramatic. Even if Nordhaus (and humanity) happens to be lucky, and the actual tipping point is twice as high as climate scientists fear it is, the 3°Cof warming that he predicts would only reduce GDP by 2% would instead reduce it by 18%. That is not some far-distant concern either: we are already at 1°Cwarming over pre-Industrial levels, and even Nordhaus predicts we will hit 3°Cof warming in 2070 (see figure 2). That’s just five decades away, when today’s Extinction Rebellion campaigners would hope to be entering retirement.
If the climate scientists are right, and 2°Cis the tipping point, then even on Nordhaus’s calculations (see figure 2), we have just 25 years to avoid catastrophic damage to both the biosphere and the economy. This doesn’t mean that the economy will cease to exist in 2045, but that the rate of temperature increase will accelerate at or around that date, driven by qualitative changes in the biosphere in addition to heat retention via greenhouse gases, and that these qualitative changes could push the biosphere to, or past, temperatures that have previously caused mass extinctions, and which will surely be incompatible with industrialised human society(see figure 4 taken from Steffen 2018).
Not only has Nordhaus ignored these warnings by climate scientists, the only changes he has made to his damage function over the years have made it lessable to handle tipping points10 and reduced the already tiny coefficient he uses, from 0.35% in 1999, to 0.284% in 2008, 0.267% in 2013,11and 0.227% in 2018.12
This is the next mystery in DICE: how did Nordhaus get such tiny numbers for the impact of climate change in the first place? Here we have to delve into the source of the “data points” to which DICE is fitted: the 14 dots on figure 1, which originate in a survey of economists’ predictions about the impact of climate change by Dutch economist, Richard Tol.13
There are many weaknesses in these predictions, but without a doubt the worst is an assumption, behind at least five of them, that the relative effect of climate on income in different parts of the world today can be extrapolated to the effect of changes in climate on GDP across the whole planet over time. Under that assumption, temperature and income differences between, for example, Washington and Dallas, can be used to predict what will happen to global GDP if global temperatures rise by the gap between Washington and Dallas. In Tol’s words, these data points are based on the assumption “that the observed variation of economic activity with climate over space holds over time as well.”14 He goes on to comment on specific studies:
“[Robert] Mendelsohn’s work … can be called the statistical approach. It is based on direct estimates of the welfare impacts, using observed variations (across space within a single country) in prices and expenditures to discern the effect of climate. Mendelsohn assumes that the observed variation of economic activity with climate over space holds over time as well, and uses climate models to estimate the future effect of climate change…
“Like Mendelsohn, Nordhaus and Maddison rely exclusively on observations, assuming that “climate” is reflected in incomes and expenditures — and that the spatial pattern holds over time.”
Nordhaus uses empirical estimates of the aggregate climate impact on income across the world (per grid cell), while [David] Maddison looks at patterns of aggregate household consumption (per country). Like Mendelsohn, Nordhaus and Maddison rely exclusively on observations, assuming that “climate” is reflected in incomes and expenditures—and that the spatial pattern holds over time.14
What does this mean? It means that these economists took data about the income and temperature levels in different parts of the USA today, performed regressions between them, and found a weak nonlinear relationship between income and temperature. Below an “optimum” average yearly temperature of 12°C15, increasing temperatures are correlated with increasing income; above that average temperature, rising temperatures are correlated with decreasing income.
Since much of the world’s inhabited landmass has a lower average temperature than 12°C, several of these economists concluded that an increase in global temperature over pre-industrial levels would actually increase global GDP.16 For example the lowest point for a 2.5°C increase in figure 1 shows a negative damage – meaning an improvement – of 1% to GDP from a 2.5°C increase in temperature over pre-industrial levels (see also figure 5).
In their words:
“The results indicate that there will be large benefits from warming in the former Soviet Union and Eastern Bloc countries. The benefits in this region almost offset losses throughout the tropics in the experimental results. The Soviet benefits account for two-thirds of the net global benefits in the cross-sectional results. The results also suggest that there will be large benefits in North America and small benefits in Western Europe.
“The critical factor that these benefiting countries have in common is that they are currently cool so that warming is helpful.”17
If anything, this assumption that income and temperature differences today can be used to predict the result of global warming over time is even more insane than Nordhaus’s quadratic damage function itself. It is akin to assuming that the energy needed to move horizontally is equivalent to that needed to move vertically.
More seriously, it ignores the key issue in global warming: the impact of retaining much more energy in the biosphere. Once past the tipping point – which these economists ignore also – the energy level of the entire biosphere will rise enormously.
So while temperature and precipitation differs between places in the USA today, the amount of energy in the global atmosphere is unchanged. It may well be that incomes in parts of the world with average temperatures of 11°Ctoday are lower than in parts with average temperatures of 12.5°C today. But that tells you absolutely nothing about the impact on GDP of raising the temperature of the entire atmosphere of Earth by 1.5°C over time.
Furthermore, the global temperature range today is from minus 90°C in Antarctica to plus 70°C in the Middle East. If the temperature rises 1.5°C across the globe, the range will be from minus 68.5°C to plus 71.5°C. High temperatures that do not exist on the planet today will come into being; low temperatures that exist today will disappear. The impact this will have across the globe simply cannot be estimated by extrapolating from relationships between today’s GDP and temperature ranges. The shift in the temperature range caused by global warming is simply ignored by the “spatial pattern holds over time” assumption.
The Integrated Assessment Models designed by other economists, used by the IPCC to predict the economic consequences of global warming, are no better informed.
They are the source of the IPCC’s claims about the economic impact of climate change that trivialise the danger of extreme temperature changes. Examples include the 1996 IPCC Report claim that a 10°C increase in global temperature — well above levels that have caused mass extinctions in the past — would reduce GDP by a mere 6%19andanother from the latest IPCC report that a 2°C rise will reduce GDP by just 0.2-2%.20
These IPCC forecasts, derived directly from the work of Nordhaus, Tol and other mainstream economists, are so trivial that they are quoted and promoted by climate change deniers like Bjorn Lomborg. More importantly, these are the aspects of the IPCC’s reports that are taken seriously by economic-growth-obsessed politicians, while the dire warnings of climate scientists are effectively ignored.
Given how irredeemably bad the work of economists on the economic impacts of climate change has been, that assessment should be left to climate scientists like Steffen, Lenton and Garrett.21-24 They can be trusted to at least understand what global warming means.
And this is precisely what real climate scientists are saying but you have to read between the lines, which is possibly why economists like Nordhaus continue to ignore them. Here are Steffen and his 15 collaborators — including Lenton —from August of last year:
“Given how irredeemably bad the work of economists on the economic impacts of climate change has been, that assessment should be left to climate scientists.”
“With these trends likely to continue for the next several decades at least, the contemporary way of guiding development founded on theories, tools, and beliefs of gradual or incremental change, with a focus on economy efficiency, will likely not be adequate to cope with this trajectory. Thus, in addition to adaptation, increasing resilience will become a key strategy for navigating the future.”25
They put it a lot more politely than I do. For me,Nordhaus’s interventions on climate change have trivialised the dangers, and thereby helped delay critical action to prevent climate change. He and his fellow economists should be thrown out of the IPCC, and replaced by scientists who have a far better understanding of the dangers of unleashing that much more energy on our sensitive biosphere.
Rather than “integrating climate change into long-run macroeconomic analysis”, as his Nobel citation puts it, Nordhaus has led humanity up the garden path towards a possible slaughterhouse. He will take his Nobel Prize to the grave, but we should leave his death march, now. Hopefully, before it’s too late. Climate scientists themselves are calling for the approach economists take to the mitigation of climate change to be abandoned. It is time their call was heeded.
1. Keen, S. (2011). Debunking economics: The naked emperor dethroned?London, Zed Books.
2. Nordhaus, W. (2018). “Projections and Uncertainties about Climate Change in an Era of Minimal Climate Policies.”American Economic Journal: Economic Policy10(3): 333–360.
3. Nordhaus, W. D. and P. Sztorc (2013). DICE 2013R: Introduction and User’s Manual: 12.
4. Steffen, W., J. Rockström, et al. (2018). “Trajectories of the Earth System in the Anthropocene.” Proceedings of the National Academy of Sciences115(33): 8254.
5. Nordhaus, W. D. and P. Sztorc (2013). DICE 2013R: Introduction and User’s Manual: 11.
6. Lenton, T. M., H. Held, et al. (2008). “Tipping elements in the Earth’s climate system.” Proceedings of the National Academy of Sciences105(6): 1786-1793.
7. Lenton, T. M., H. Held, et al. (2008). “Tipping elements in the Earth’s climate system.” Proceedings of the National Academy of Sciences 105(6): 1786.
8. Lenton, T. M., H. Held, et al. (2008). “Tipping elements in the Earth’s climate system.” Proceedings of the National Academy of Sciences105(6): 1791-1792.
9. Steffen, W., J. Rockström, et al. (2018). “Trajectories of the Earth System in the Anthropocene.” Proceedings of the National Academy of Sciences 115(33): 8253.
10. Nordhaus, W. (2018). “Projections and Uncertainties about Climate Change in an Era of Minimal Climate Policies.”American Economic Journal: Economic Policy10(3): 338 footnote 3.
11. Nordhaus, W. D. and P. Sztorc (2013).DICE 2013R: Introduction and User’s Manual: 86, 91 and 97.
12. Nordhaus, W. (2018). “Projections and Uncertainties about Climate Change in an Era of Minimal Climate Policies.”American Economic Journal: Economic Policy10(3): 345.
13. Tol, R. S. J. (2009). “The Economic Effects of Climate Change.” The Journal of Economic Perspectives23(2): 29–51.
14. Tol, R. S. J. (2009). “The Economic Effects of Climate Change.” The Journal of Economic Perspectives23(2): 32.
15. Nordhaus, W. D. (2006). “Geography and macroeconomics: New data and new findings.” Proceedings of the National Academy of Sciences of the United States of America103(10): 3510-3517.
16. Mendelsohn, R., M. Schlesinger, et al. (2000). “Comparing impacts across climate models.” Integrated Assessment1(1): 37-48.
17. Mendelsohn, R., M. Schlesinger, et al. (2000). “Comparing impacts across climate models.” Integrated Assessment1(1): 42.
18. Mendelsohn, R., M. Schlesinger, et al. (2000). “Comparing impacts across climate models.” Integrated Assessment 1(1): 41.
19. Bruce, J. P., H. Lee, et al. (1996). Climate Change 1995: Economic and Social Dimensions of Climate Change, Intergovernmental Panel on Climate Change.
20. Field, C. B., V. R. Barros, et al. (2014). IPCC, 2014: Summary for policymakers. In: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate ChangeCambridge, United Kingdom Intergovernmental Panel on Climate Change: 1-32.
21. Garrett, T. J. (2011). “Are there basic physical constraints on future anthropogenic emissions of carbon dioxide?” Climatic Change104(104): 437–455.
22. Garrett, T. J. (2012). “No way out? The double-bind in seeking global prosperity alongside mitigated climate change.” Earth System Dynamics3: 1-17.
23. Garrett, T. J. (2014). “Long-run evolution of the global economy: 1. Physical basis.” Earth’s Future2: 127–151.
24. Garrett, T. J. (2015). “Long-run evolution of the global economy II: Hindcasts of innovation and growth.” Earth System Dynamics6: 655–698.
25. Steffen, W., J. Rockström, et al. (2018). “Trajectories of the Earth System in the Anthropocene.” Proceedings of the National Academy of Sciences115(33): 8257.
6 Comments on “Nordhaus’s Nobel Prize is safe but the World isn’t”
Thanks for this. My first scan of his paper also has me concerned that his model of the cost of mitigations is bananas as well.
In your Figure 3, the “Steffen” curve seems to show a 20 percent reduction in GDP (relative to no warming) for approximately a 1.9 degree Celsius temperature increase from pre-industrial levels, but a 100 percent reduction in GDP for a 2.0 degree Celsius temperature increase (only 0.1 degree Celsius additional increase).
Doesn’t that seem obviously incorrect to you?
Mark Bahner: That’s the point of the article. The rate of GDP reduction rises exponentially after the tipping point is reached. That’s how an exponential function works. Small changes in the X variable result in increasingly large changes in the Y variable. Nordhaus’s linear function is completely unrealistic, based on the predictions of almost all climate scientists.
It’s not the “Steffen curve”; simply a rational function that coincides with Nordhaus at 1 degree warming but has a discontinuity at 2. And a function with a discontinuity goes to infinity as it approaches the discontinuity, so no, it’s correct.
Also, see https://twitter.com/MichaelEMann/status/1163565539454783489?s=20 and others on discontinuities.
Please don’t call it a nobel prize. It’s the The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel and was invented for themselves as they were feeling a little left out.
Hi Tim, of course you are right. The problem is space! But we do talk a lot about this elsewhere. You must have noticed our #NotTheNobel campaign, no? See here if not. Cheers Henry