Study of the Impacts of the Regional Greenhouse Gas Initiative Deeply Flawed
Institute for Energy Research , Bio and Archives--March 7, 2012
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The text first discusses the savings to consumers and says:
Although CO2 allowances tend to increase electricity prices in the near term, there is also a lowering of prices over time because the states invested a substantial amount of the allowance proceeds on energy efficiency programs that reduce electricity consumption. After the early impacts of small electricity price increases, consumers gain because their overall electricity bills go down as a result of this investment in energy efficiency. All told, electricity consumers overall--households, businesses, government users, and others--enjoy a net gain of nearly $1.1 billion, as their overall electric bills drop over time...Consumers of natural gas and heating oil saved another $174 million. Figure ES3 shows the net bill reductions to consumers. [pp. 3–4]
Here is Figure ES3:
Already we see an apparent anomaly: The first figure (ES2) showed savings to consumers of $2.1 billion, which the next figure (ES3) shows savings of just under $1.2 billion. This is a very large discrepancy, to which we will return in a moment.
But first, we must resolve the issue of when consumers save money. The two graphs--especially since the study is touted as one that "follows the money" and is apparently evaluating the actual experience of the years 2009–2011--give the impression that the consumers in these states already benefited from these savings.
Yet this isn't true. The main text is vague, even choosing its verb tenses in a confusing way. (For example saying electricity consumers "enjoy a net gain of nearly $1.1 billion," making it sound as if the gain is currently being reaped.) Footnote 6 makes things a bit clearer, though not much:
During the 2009-2011 period, we estimate that RGGI increased consumers' overall payments for electricity by 0.7 percent; over the long run, however, this investment, which states used to support a variety of economic activity (of which approximately 48 percent went to support energy efficiency programs) led to net savings in electricity bills to all consumers in all states, relative to an electric system that did not include RGGI for the 2009-2011 period. [Bold added.]
Again, make note of the misleading verb tenses. The footnote clearly admits that during the actual period for which we have real numbers, i.e. 2009–2011, electricity bills went up because of the program. Yet then it says "over the long run" the investment "led to net savings," as if those were observed to have occurred. Yet this is impossible, for the simple reason that the study was published in late 2011.
Here's what is happening: The Analysis Group study ran two different computer simulations of the economies of the participating states, first with the RGGI program and then without. In the computer simulations, the first run (with RGGI) led to higher electricity prices for a few years, and then lower prices, compared to the simulation baseline that had no RGGI program. Using a discount rate of 3 percent, the study authors conclude that electricity consumers in the simulation with RGGI would save about $1.1 billion in present-value terms, measured in 2011 dollars.
In other words, the only benefits of RGGI that the Analysis Group found were the results of models, not actual experience. They did find, however, find that electricity prices have already increased because of RGGI.
In macroeconomic studies of this nature, direct effects refer to the increased economic activity from a particular cause, whether a tax cut, boost in government spending, or (in this case) reduction in utility bills. The indirect and induced effects refer to the increased spending flowing from these direct effects, including the extra spending from workers who are now employed or who have higher incomes because of the original round of effects. Thus the Analysis Group study is apparently claiming that the direct savings of $1.2 billion to consumers (in the form of reduced utility bills) leads to an additional $900 million in benefits to the economy as this spending ripples through various sectors.
We see a similar pattern with the blue rectangle, denoting the government expenditures of the auction revenues from the RGGI program. There are first of all the direct economic benefits from the original expenditures, and then the indirect and induced benefits as this original government activity leads to further rounds of spending.
There are two major problems with this analysis. In the first place, even on its own terms, the alleged indirect and induced impacts of the consumer savings make no sense because...the consumers have yet to see those savings. Remember, through 2011 thus far, the consumers are actually poorer because of the RGGI program--footnote 6 quantified it precisely as bills being 0.7 percent higher. So these "indirect" and "induced" impacts are themselves still pure conjecture; we actually would currently see negative impacts because the consumers are having to cut back their spending elsewhere (due to higher utility bills), meaning those sectors will have to lay off workers, etc. etc. in outward ripples.
Yet there is another major problem with the basic premise of this approach. Simply put, the Analysis Group study is quite naively claiming that if the government raises $1 billion from one sector of the economy (in this case, by auctioning off permits to do something--emit greenhouse gases--that previously was free of charge), and then spends that $1 billion in another sector of the economy, that somehow total GDP is higher and jobs are created on net. On the face of it, this is nonsensical, akin to using a bucket to take water from the deep end of a swimming pool and dumping it in the shallow end, hoping to raise the level of the water.
To be sure, there are sophisticated "New Keynesian" models of the economy in which government taxing and spending could boost total output in this fashion, if the economy happened to start in a position of large-scale unemployment. Yet the Analysis Group study makes no mention of these caveats. The average policymaker would get the impression that these alleged "economic value added" benefits are available to any taker with the wisdom to implement a comparable greenhouse gas program. But clearly, if a state already starts out with a fully-employed labor force, then no amount of shuffling of money can create jobs on net. We then fall back to the more fundamental question: What institution is more likely to create efficient, well-paying jobs: the private sector or the political sector?
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