The simple math of green jobs
By CostBenefit on Oct 30, 2009 | In Energy, Climate Change GHG Carbon CO2, Economic Development and Green Jobs, Regulatory Analysis, Costs and Benefits, Opinion (Not Likely Ours EV&CBN), Free Report at Time of Entry | 1 feedback »
Link: http://www.env-econ.net/2009/10/the-simple-math-of-green-jobs.html#more
From time to time we have reported on green job projections. Many reputable economists question these studies, among them Tim Haab and John Whitehead at The Environmental Economics Blog www.env-econ.net.
On October 29, 2009 Tim Haab pointed out that Dan Reicher, director of climate change initiatives at Google told the Senate Committee on Environment and Public Works that climate change "can ... provide an economic opportunity of vast proportions ... creating new jobs in solar, wind and geothermal power ... [and] help push investments to develop an efficient and robust power grid that would combine with information from the Internet.... That would create new jobs in new technologies across a range of companies, he said. The Web could send information from the "smart grid" to help consumers save money on power bills during peak demand periods and help them determine the cheapest time to charge electric cars that would cut emissions and oil imports."
Haab agrees but notes that Bill Klesse, the chief executive of oil refiner Valero Energy Corp, told the panel the bill would cut jobs in his industry because it would force companies to buy billions of dollars worth of carbon credits. He said the costs would hurt refiners who have already lost jobs as the recession cuts fuel demand.
Haab agree with that too.
He then explore the math "Env-Econ style" ...
Let P be the total number of potentially employable people in the U.S. Define a person's employment status in one of three ways: Green (G), Brown (B) or Unemployed (U), where by definition a brown job is any job that isn't green and for now we are ignoring transitional unemployment, so in times of full employment, U=0. Combining everything we get what I will call the Job/Unemployment Identity and Creation Equation (JUICE):
P=G+B+U
So how does job creation work? Consider 2 cases:
Case 1: Full employment (U=0). When we are in a situation of full employment, JUICE concentrates (get it?)to:
P=G+B
Now suppose the government invests in a green job creation program so that G increases by g. To maintain the JUICE, B must decrease by g (unless of course the government can somehow increase P. And although I'm not a scientist, last time I checked, creating P is still beyond our current technologies*).** In words, any increase in Green Jobs has to be countered by losses in Brown Jobs in times of full employment. The net result? No net job increase.
Case 2: Unemployment (U>0). Introducing unemployment into the mix makes this more complicated. Now the government's green job creation program has two sources from which to draw jobs: B and U. To balance JUICE, the net change in B and U must now equal g***. But, U had to come from somewhere. Since we are trying to create green jobs it seems logical that we are starting from a situation in which there are very few G jobs even in times of full employment, so most U must come from B. Assuming all U comes from B, then G comes from U which came from B. Nevertheless, the end result is no net job increase.
So what do we end up with? In either case, we get more G, less B and no more P.
To simplify this whole discussion, the simple math of green jobs is this: 1-1=0.
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FOR FULL POST GO TO:
http://www.env-econ.net/2009/10/the-simple-math-of-green-jobs.html#more
Environmental Economics Blog www.env-econ.net
1 comment
If you make an assumption in your silly little equation that ALL employable people are coming from brown industries, and then becoming the unemployed, that will then become the employable to the green jobs, of course (by your stated assumptions!) your conclusion will not result in added employable people in the green sector!
Your definitions and conclusion are a self serving redundancy- too narrow to say anything of significance.
And your 'Calculus for Dummies' that you so superiorly thought would benefit the readers, isn't going to help you think or convince anybody.
I can't believe this got published.
