Carbon dioxide, climate change, co-benefits, Coal, EPA, Gina McCarthy, power plant regulations
Institute for Energy Research , Bio and Archives--June 16, 2014
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SOURCE: Page ES-23 of EPA “Regulatory Impact Analysis…for Power Plants.”
The table shows that EPA has broken the benefits from the proposed regulations into two main components: (1) “Climate Benefits,” referring to the reduction in future climate change damages because now US power plants won’t be emitting as many tons of greenhouse gases; and (2) “Air pollution health co-benefits,” referring to the reduction in human health problems (including premature mortality) stemming from the reduction in power plant contributions to the everyday-sense of the term “air pollution.” In other words, it doesn’t hurt anybody’s lungs when power plants emit carbon dioxide, so EPA is segregating climate-change damages (and hence benefits) into the first category, while reserving the second category of benefits for things like soot that actually might harm people when they breathe.
Because the benefits from both categories (i.e. reduction in climate change damage and also commonplace air pollution) are spread out over many years into the future, their present-discounted-value can only be expressed once we’ve picked a discount rate. The lower the discount rate, the greater weight we place on futureevents, which is why the reported benefits shown in the table go up.
In case the reader is puzzled, let’s review the odd construction of the table, where the numbers for climate benefits seem to exist in a column all their own, in between the column headers of “3%” and “7%” discount rates. The reason for this is that the Office of Management and Budget guidelines specify that federal cost/benefit analyses should be reported at both a 3% and 7% rate. However, the Obama Administration Working Group never bothered to report the “social cost of carbon” at a 7% rate—presumably because the number would be too low. Therefore, the table above reports the “social cost of carbon” values for the year 2030, from a 2.5% discount rate up through a 5% discount rate, forcing the reader to use an incorrect calculation if he or she wants to conduct a cost/benefit analysis at 7%.
This is a crucial issue. Look again at the table above: Going from a 3% to a 5% discount rate, the 2030 estimated climate benefits of the power plant rules drop from $31 billion to $9.5 billion. If instead we used a discount rate of 7%, the benefits would drop even further still. We can’t know by exactly how much, because the Administration won’t release the necessary numbers to make such a calculation, but they would probably be below the EPA’s own estimated compliance cost (in the year 2030) of $8.8 billion (also shown in the table, near the bottom) for the power plant rules.
Let me repeat that: Using the EPA’s own estimate of the compliance cost of its power plant rules,[1] the proposed regulations would probably fail a cost/benefit test, if we only looked at the climate change impacts and used one of the OMB’s required discount rates for federal regulatory analysis. The reason for this is that even on the Administration’s own terms, the majority of climate change benefits would occur many decades into the future, when most of the people who have paid the costs of this rule during this generation are dead.
Now we see why EPA is placing so much weight on the air pollution health “co-benefits.” EPA knows that its power plant rules are on very shaky ground, if EPA were to rely solely on climate change analysis. Indeed, look again at the table, to see how much bigger the “co-benefits” are, relative to the climate benefits. At a 3% discount rate, the climate benefits are reported at $31 billion, while the “co-benefits” range from $27 billion to $62 billion, meaning that co-benefits account for about one-half to two-thirds of the total gross benefits.
Things are worse if we look at the EPA’s handling of the 7% discount rate. Even using the 5% figure for the climate benefits of $9.5 billion (which is actually too generous since the climate benefits would be lower at the correct 7% discount rate), in the 7% case EPA tells us that the co-benefits range from $24 billion to $56 billion. Putting the two numbers together means that in the 7% scenario, the co-benefits account for somewhere between 72% and 85% of the total gross benefits of the rule.
This should be quite disturbing to anyone who wants federal regulations to have some basis in economic logic: Far from being icing on the cake, the air pollution “co-benefits” are the main course. The Administration touts its new power plant rules as part of the valiant fight against climate change, but its own analysis shows that climate change considerations may account for as little as 15% of the gross benefits, using one of OMB’s required discount rates for such analyses. Any reasonable person should be suspicious that the EPA’s own numbers show such a small contribution coming from greenhouse gas reductions, when that’s supposedly what the crackdown on power plants is all about.
[R]eaders unfamiliar with the literature on PM2.5 health risks should be aware that the estimates of PM2.5-attributed deaths (such as the 6,800 to 17,000 that EPA is attributing to the Proposed Rule [in 2011 on utilities—RPM]) are based entirely on statistical associations between total mortality rates in various locations of the US and their respective monitored, region-wide ambient PM2.5concentrations….EPA’s estimate of 6,800 to 17,000 PM2.5-related premature deaths avoided in 2016 as a result of the [2011] Proposed Rule [on utilities—RPM] is based on an assumption that 130,000 to 320,000 deaths, respectively, of 2005’s US deaths were hastened by breathing ambient PM2.5….And yet, EPA identifies not a single death during 2005 that was attributed, even in part, to exposure to ambient PM2.5. If PM2.5 is indeed having this estimated effect on the public health, there is no evidence indicating when or where these events occurred, or who was affected. Rather, these mortality estimates are merely inferences drawn after making a host of assumptions about how to convert a statistical association into a concentration-response function. No one really even knows what types of deaths might be implicated. A common belief among researchers is that the deaths are primarily cardiovascular in nature, but this is far from an established fact: everything from cardiovascular causes to diabetes to lung cancer has been mentioned as having such an association in one paper or another. There is no clinical evidence to inform these inferences either, despite at least 15 years of efforts by researchers to find a clear physiological mechanism to explain and lend credibility to these estimates based solely on statistical correlations.Thus we see that the deeper one delves into the EPA’s justifications for its various rules on electricity producers, the more it becomes obvious that they rest on quicksand.
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