Mark,
Thanks for sharing this interesting
case. I enjoyed both your critique and Joe’s subsequent analysis. I tend to
agree specifically with Joe’s commentary and would like to suggest the
following. American auto manufacturers, such as GM, Ford and Chrysler has been
using rigorous economic analysis as a tool for many years. Their efforts have placed
an unwavering focus in improving productivity and efficiency, Yet, despite this
emphasis, these companies are less efficient than
As both you and Joe have pointed out,
conventional economic analysis or what you call econometric analysis has many
shortcomings. In one sense, the situation you describe fits the mode of a
classical optimization problem in operational research. However, the founders
of the field of operational research, Russ Ackoff, C. West Churchman, and much later
Peter Checkland, all grew disenchanted with using standard econometric analytical
tools to solve problems in complex dynamic systems. They went on to found Soft
Systems Thinking as an alternative approach. I think you have pointed out some
of the limitations of economics for handling such complex messes.
Economics is not a social science, because
it is neither socially-oriented nor scientific in the way it is practiced.
Steve
From:
Corporate_Sustainability_Management@yahoogroups.com [mailto:Corporate_Sustainability_Management@yahoogroups.com]
On Behalf Of eisai@...
Sent: Thursday, January 22, 2009
10:14 PM
To: Corporate Sustainability
Management
Cc: Corporate Sustainability
Management
Subject: Re:
[Corporate_Sustainability_Management] Perils of Triple Bottom Line Metrics
Mark,
I agree and think your reasoning is flawless, if a bit complicated, due to
being cast in the triple bottom line framework.
Long ago, I began to think that "productivity" as an idea needs an
overhaul. Defining it solely in terms of an economic outcome might work if
economics worked well as a Science. However, I think that this is not the case.
Economic phenomena are not largely isolable from other social phenomena. The
truth is that economic inputs give rise to all sorts of outputs including
environmental ones, and that productivity needs to be measured relative to the
full range of consequences of inputs. If it was measured this way, then the
productivity gain posited by your client would have to be adusted for the
negative impact on water use as well as any other negative impacts resulting
from introduction of the new technology.
Anyway, I hope these vague high level thoughts aren't too confusing.
Best,
Joe
----- Original Message -----
From: "Mark W. McElroy" <mmcelroy@vermontel.
To: "Corporate Sustainability Management" <Corporate_Sustainab
Sent: Thursday, January 22, 2009 9:11:33 PM GMT -05:00
Subject: [Corporate_Sustaina
All:
I had an experience with a client
recently that is worth sharing. We've been working with a new metric that
deals with the sustainability of water use, corporate water use. As
always, we advocate for measuring and expressing such use in terms of per
capita levels of impact, adjusted for employee time spent at work versus not at
work. That way we (a) allocate sustainability impacts to activities found
only at work, and (b) avoid the problem of double counting, which would occur
if we counted employee impacts at work and not at work without adjusting for
such divisions of time.
Anyway, the client raised the objection
that if we are expressing, say, water use on a per capita basis (adjusted),
then if a company were to, say, invest in some technology which had nothing to
do with water use, but had the effect of lowering head count and increasing
productivity in econometric terms, performance on the water front would suffer.
For example, imagine a technology that lowered head count by 50 percent,
without reducing water use. This would have the effect of increasing
water use per capita by 100 percent. From an environmental sustainability
standpoint, this would be a step backwards, even as it would be a step forwards
from a financial standpoint (i.e., fewer employees means less cost).
Ergo, my client argued, our water metric
was flawed.
Our client's logic, however, is seriously
flawed. It is the basic nature of triple bottom line measurement and
reporting that the metrics involved proceed along parallel and never
intersecting lines, even though single impacts (i.e., investing in some
productivity enhancing technology) can affect one or more of them at the same
time. In this case, it is entirely possible that an investment in
productivity enhancing technology can, at once, increase productivity, lower
costs and head count, and worsen environmental performan! ce. &nbs p;To say
that the effects on productivity, head count and costs should somehow trump
environmental performance, or that the fact that environmental performance has
been worsened even as one's econometric performance has improved must mean that
one's environmental metrics must be flawed, is to fundamentally misunderstand
the difference between monetary and natural capital. The fact is that the
growth of monetary capital usually comes at the expense of impacts on natural
capital. So shouldn't our metrics reflect that?
Indeed, it is certainly often the case
that impacts have positive impacts on one type of capital even as they have
negative impacts on another. So what? The fact that this is the
case is not to invalidate metrics that faithfully record and report either type
of impact. Rather, it is to affirm the fact that they do. Let us
not shoot the metrics any more than we shot the messenger, shall we? To
object to what a metric accurately reports is not to critique it (the metric),
much less invalidate it. Rather, it is to call attention to what some
would have us all hear, despite the truth of what is really happening in the
world. This should be resisted in the strongest possible terms!
Regards,
Mark
Mark W. McElroy,
Ph.D.
Executive Director
Center for
Sustainable Innovation
www.sustainableinno
(802) 785-2293
(office)
(802) 296-1928
(mobile)
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