by
Daniel B. Klein
dklein@scu.edu
I. Introduction
Automobile emissions-control policy is now in an exciting period of re-examination and
reform. New learning has advanced understanding of the problem, and new technologies have
expanded the set of solutions to consider.
It is now understood that ten percent of the vehicles generate over 50 percent of the
on-road carbon monoxide (CO). The same is true of hydrocarbon (HC) emissions. These are
gross polluters. As shown in Figures 1 and 2, in each case the cleanest 80 percent of cars
-- the low and marginal emitters -- taken together generate less than 12 percent of the
pollution.

Figure 1. Carbon Monoxide Emissions
| Source: Douglas R. Lawson, "Passing
the Test--Human Behavior and California's Smog-Check Program," Journal of Air &
Waste Management Association 43 (December 1993) |
| Note: The 3,755 vehicles were ranked from
cleanest to dirtiest on the basis percentage of CO emissions on the low-idle test, then
divided into 10 equal groups or deciles. The contribution of each decile to total CO
emissions for the entire sample is indicated by the height of the bar. |

Figure 2. Hydrocarbon Emissions
| Source: Douglas R. Lawson, "Passing
the Test--Human Behavior and California's Smog-Check Program," Journal of Air &
Waste Management Association 43 (December 1993) |
| Note: The 3,755 vehicles were ranked from
cleanest to dirtiest on the basis percentage of HC emissions on the low-idle test, then
divided into 10 equal groups or deciles. The contribution of each decile to total HC
emissions for the entire sample is indicated by the height of the bar. |
Furthermore, studies suggest that repairs significantly reduce emissions
only for cars with high emissions. Repairs made to cars only marginally over their
emissions standards do little to reduce emissions, and even often increase emissions.(1) Because of the extreme skewedness of emissions, and
because most emissions reductions will come from the gross polluters, the chief task of a
cost-effective program must be to focus on gross polluters.
A new device called the remote sensor appears to be capable of doing just that. An
infrared beam is shined across the road. As a car passes along the road, the beam travels
through the exhaust plume and is distorted by the gases. The sensor receiving the
distorted beam can infer the pollutant concentrations in the exhaust. The device is very
inexpensive and mobile and can be set up on many streets and highway ramps. If government
can use this device to identify the minority of gross polluters, it can clean the air at
low cost to the public.
Regulators are showing interest in remote sensing, but they have not yet recognized the
full potential of this new technology. Much of the policy debate over Inspection &
Maintenance ("Smog Check" in California) has continued in the old ruts of old
programs.
For ten years the Smog Check program in California has required cars and light trucks
to pass inspection every two years. Inspections are performed at approximately 9,000
private garages licensed by the state. This system has been unsuccessful. Some motorists
get their gross polluting cars through Smog Check by tampering or bribing the private
inspectors. Some station mechanics also tinker with some cars so they can pass the test
without fixing serious problems. Some gross polluters remain unregistered, thereby
avoiding Smog Check altogether.(2) Furthermore, the program
is more costly than it needs to be, as it requires all motorists, even the majority with
clean cars, to incur the costs of obtaining a smog certificate.
Smog Check is unsuccessful because vehicle owners can anticipate inspections, and
because they must past inspection only one day every two years. On the other 729 days of
the biennium the motorist can drive a dirty car.
The U. S. Environmental Protection Agency agrees that programs like California's are
less effective than they should be, but it has identified the problems differently. The
EPA says that the program falls short because the private garages engage in both
inspection and repair of vehicles. This, it believes, creates a conflict of interest for
Smog Check stations and tempts them into corruption and malfeasance. The EPA has called
for the separation of inspection and repair. In its proposed "centralized"
program, cars would report every two years to one of a small number of central,
contractor-run facilities for inspection, and if necessary would go to private garages for
repairs. This proposed program design, in contrast to California's
"decentralized" program, would probably reduce corruption and fraud, although
the new facilities might operate in haste if they are rewarded for throughput. Also, the
EPA has called for the utilization of more expensive testing equipment, called
dynamometers, which are treadmill devices that run cars through a pattern of simulated
stop and go driving. Although the EPA's centralized program has some advantages, its
opponents have been effective in pointing out its serious flaws. The EPA proposal still
allows motorists to anticipate the test, and hence some motorists might still
tamper with their vehicles for the test, although doing so is more difficult for the EPA
program than for the current program. Also, mechanics could make only superficial
adjustments sufficient to pass the test, but not adequate to fixing underlying problems.
More fundamentally, the program is extremely expensive in that all or most motorists would
be required to report for inspection, now at less convenient facilities.
During 1993 California resisted EPA's demands, partly because its officials doubted
that a centralized program would be much of an improvement over the current program, and
partly because it recognized that with remote sensing on the horizon it would be rash to
sink large new investments in anticipated inspection. The conflict between California and
the EPA was resolved, if only temporarily, by a Memorandum of Agreement in March 1994. The
Agreement includes a pilot project that compares different types of test-only equipment, a
pilot remote-sensing study for Sacramento County, and calls for setting up centralized
facilities with the capacity to test 15 percent of vehicles in nonattainment areas. As for
the 9,000 Smog Check stations, except for possible equipment changes and new training,
they will carry on as before.
The Agreement is only a temporary accommodation. The EPA may continue to favor
centralized inspection, and has been promoting other command-and-control policies on
California, like mandatory carpooling in the mold of Los Angeles' Regulation XV. In these
days of ideological change, however, the EPA seems to be reconsidering its
command-and-control agenda. However the politics works out, the advent of remote sensing
may well represent a quantum leap in auto-emissions control. Its potential ought to be
fully explored before any additional programs are brought on line.
This paper has two goals. The first is to explore the potential of remote sensing and
to explain why, if it is really as good as it appears, it should lead us to overhaul
auto-emissions policy. We are careful to elucidate fundamental economic principles and to
show how they apply to our arguments. We lay out a detailed remote-sensing program for the
greater Los Angeles region, and provide a range of cost estimates. The program would not
satisfy current E.P.A. constraints for program type, but that is not our chief purpose.
The proposal is a sort of ideal; it is a description of the most desirable program if
remote sensing turns out to be a fully viable technology. We feel that this exercise
of "looking ahead" is appropriate for the following two reasons: (1)
Policymakers need a vision of where their efforts ought to be headed. Public discussion
too often focuses on the near-term demands placed on policy-makers. We need to discern the
forest from the trees. (2) Remote sensing has, at least to a good extent, already proven
itself a viable technology.
Our second goal is to provide a near-term transition proposal. The near-term proposal,
like most of our discussion, focuses on California and its need to reform the Inspection
& Maintenance program. The discussion of the near-term proposal piggy-backs on the
fuller discussion of the long-term proposal.
Much of our thinking is really just the informed application of fundamental economic
principles. So let us begin with the founder of economics, Adam Smith.
II. Adam Smith Visits Los Angeles
Were the ghost of Adam Smith to come to modern-day Los Angeles, he would no doubt agree
that the air is very bad and that government policy must control auto emissions.
Furthermore, he would have some advice on how to do it.
Smith had explained in The Wealth of Nations that, as consumers seek various
outputs in the marketplace, market processes arrange themselves to deliver those outputs.
Provided that performance at the output stage can be effectively rewarded in the
marketplace, such incentives will induce entrepreneurs to coordinate their activities, as
though "led by an invisible hand," to promote an ultimate end "that was no
part of their intentions." In the market we seek various outputs at the lowest
prices, and we let entrepreneurs, interacting in spontaneous fashion, worry about the
inputs.
When we go into a restaurant, for example, and order a crock of French onion soup, we
specify only the desired output. We do not tell the chef how to slice the onions, grind
the pepper or grate the cheese. We do not tell the restaurant manager where to get the
ingredients, how to store them, or how to train the employees. Customers merely specify
the outputs, and, as Adam Smith explained, entrepreneurs in the market attend to the
inputs. Successful entrepreneurs are expert in the local opportunities for effectively
combining inputs, and they compete for customers by seeking to produce the outputs that
customers desire.
When it comes to air quality, however, Smith would readily recognize that reducing
vehicle emissions is one of those desirable output goals that, as he put it, "the
profit could never repay the expense to any individual [who should privately seek to
achieve the goal]."(3) Instead, the government, in its
role of steward of the commons, must attend to the problem. But Smith's logic of
incentives still applies: if technology permits, the government ought to address the
problem by treating outputs directly, not by treating inputs.
Smith's market-based reasoning stands in sharp contrast command-and-control policies.
These aim to achieve output goals by specifying inputs. Command-and-control advocates seem
not to believe that, once outputs are specified, the market will respond to those
incentives and arrange inputs appropriately. Adam Smith sought to enlighten the
command-and-control advocates of his day. He said that every individual can, "in his
local situation, judge much better than any statesman" in determining what inputs are
most appropriate to producing his desired output. Smith notes the pitfall of
command-and-control: "The statesman, who should attempt to direct private people ...,
would ... load himself with a most unnecessary attention."(4)
Does Adam Smith's reasoning speak to the problem of vehicle emissions? Smith's
market-based approach of treating outputs rather than inputs, presupposes, of course, that
there is a practical way of monitoring and policing performance at the output stage.
Fortunately, there is a way of treating emissions directly, namely, the technology of
remote sensing. Smith would favor a system that penalized motorists directly for excessive
emissions, and that otherwise left motorists and entrepreneurs free to arrange the inputs,
appropriate to their "local situations," to prevent the receiving of penalties.
Just as one man's ceiling is another man's floor, a good or service might be an output
in one context and an input in another. To clarify our meaning, a conceptual diagram for
the Smog Check program is drawn in Figure 3. The state's output goal is fleet-emissions
reduction. One of the processes it has pursued to serve this goal is the Smog Check
program. The program calls all motorists to inspection; passing-the-test is, from the
state's point of view, part of its production process. But from the motorist's point of
view, the program creates the following output goal: passing the test. One way motorists
or their mechanics serve this goal is to keep their cars running clean. But another way is
to tamper with the car, to obtain temporary emission reductions, or to obtain a smog
certificate illegitimately. Because these and other problems are common, we see that the
connection between the state's goal and the motorist's goal is weak and distant. The state
is mandating an input process that doesn't deliver. Furthermore, it is comparatively
expensive.

Figure 3. Input-Output Diagram for Smog-Check Program
By contrast, a remote-sensing program would better connect state and motorist goals
(see Figure 4). The state pursues its output goal by specifying a program, namely on-road
remote sensors and a system of sending citations to gross polluters. For motorists, this
program generates the following output goal: avoiding smog citations. We say that this
program is output-oriented because, as will be argued later, the connection between the
state's goal and the motorist's goal is strong and close. This program is very
similar to the consumer who simply asks for a good bowl of soup and leaves the rest to the
entrepreneurs. Furthermore, this program is comparatively inexpensive.

Figure 4. Input-Output Diagram a Remote-Sensing Program
Now consider the following thought experiment: Suppose that the Heavens performed a
miracle, delivering to us a new technology that could perfectly and costlessly measure the
actual total annual emissions that came from each individual car. With this gift from
Heaven, it would then make sense for the government to use it and to charge for emissions.
We would charge motorists for their depletion of clean air, just as we charge homeowners
for their depletion of tap water or electric power. This heavenly arrangement for
emissions would be the perfect output-oriented program, and its establishment would
recommend the abolition of all other forms of auto-emission control. In reality,
the Heavens have not interceded on our behalf. We do not have a miraculously perfect and
costless technology. We argue in this paper, however, that remote sensing is a major step
toward cost-effective emission control, and that it is time to think about how its
effective deployment might render other auto-emission control programs obsolete.
III. A Market-Based Perspective: Treating Outputs Rather Than Inputs
Smog Check is an input-oriented strategy. Passing Smog Check is not directly connected
to the desired output -- namely, reduced auto emissions -- but is rather an input in a
process that, one would hope, produces the desired output. Let's explore Smith's
philosophy further by explaining why it is wiser for the government to treat
auto-emission outputs, using pervasive and unanticipated remote-sensing surveillance,
rather then inputs, such as anticipated smog-check inspections. There are five fundamental
points, and each is illustrated by actual experience from smog-check programs.
- Strategies that specify inputs tend to be unrefined to individuated conditions, they
tend toward a one-size-fits-all policy. Yet the technique for transforming inputs into
outputs is not singular, but plural. Every motorist has his own distinct opportunities for
getting his car to run clean. And, in the absence of input regimentation by government,
the entrepreneurship of the market would discover better ways to keep cars clean. Required
inspection by a certified station lays down a blanket procedure for getting cars clean, a
procedure that forsakes special opportunities and diverse conditions, and chokes off
entrepreneurial creativity.
Smog-check experience: The smog-check program forces most motorists to
participate in a biennial practice that they may not need. About 70 percent of motorists
have clean-running cars for all relevant pollutants, but most of them must participate in
an input ritual (Smog Check) that is potentially appropriate only for the other 30 percent
of cars.(5) And for motorists within that dirty 30 percent,
they might be able to make their cars clean by obtaining proper and legitimate service
from unlicensed stations or unlicensed inspectors. In the absence of input
mandates, entrepreneurs would come up with better and less expensive ways of serving
motorists' desires to avoid smog penalties.
- A government program that specifies inputs runs the risk of specifying the wrong
inputs. Government proceeds by the blunt forces of democratic and bureaucratic politics.
Rather than relying on competitive market selection of inputs, government adopts an input
strategies that may well be ineffective in producing the desired outputs.
Smog-check experience: California's Smog Check program has not lived up to its
original promises. Independent researchers have given powerful evidence that I/M programs
in general, whether centralized or decentralized, hardly have any smog-reduction benefits
at all.(6) Anticipated inspection at certified stations, it
turns out, is a wrong input for producing cleaner emissions from the fleet.
- Government input-strategies display very little ability to adapt to changing conditions.
Unlike the free-enterprise market, which is driven to discover new combinations of inputs
to produce the outputs that consumers desire, government procedures become locked-in and
very difficult to restructure or dismantle.
Smog-check experience: Smog-check programs have become part of "the
establishment." Because smog-check belongs to the status quo, it has become a focal
point for discussion and planning. And as the status quo, it has created concentrated and
well-organized interest groups that stand behind it, including both private Smog Check
mechanics and entrepreneurs hoping to get the contracts for new inspection facilities.
- A program that specifies inputs inevitably entails large administrative and bureaucratic
costs for managing the program and policing compliance. If these efforts are inadequate,
corruption, fraud, and malfeasance may become widespread.
Smog-check experience: It is well-known that corruption and fraud are common in
decentralized programs;(7) even centralized programs must
attend to the diligence, competence, and honesty of the inspectors. Smog-check programs
must attend to the training of licensed inspectors, the integrity of inspection equipment,
the enforcement of honest inspection service, and evaluation of the program procedures.
Corruption, fraud, and policing costs inevitably grow larger as government requirements
reach deeper into the input stages of the production process.
- The more that programs are connected only indirectly to public-interest goals,
the more likely it is that they will be hijacked and led astray. Influential special
interests, including regulators, are tempted to favor their own convenience in deciding
which inputs should be adopted to produce the public-interest outputs. When policies treat
outputs directly, it is much more difficult for interest-group tendencies to cloud and
usurp the issue.
Smog-check experience: Debates rage over whether anticipated inspection can be a
worthwhile input for producing cleaner emissions from the fleet. For example: Should
anticipated inspection use dynamometers or less expensive equipment? If dynamometers,
should they simulate loads over a continuous range or only at discrete loads? Should they
report an emissions trace over the entire test or should they report only peaks and
averages? And so on. Every interest group takes its place in the political process, and in
doing so often obscures the fundamental issues. These politicized debates could be largely
avoided if we had a strategy that dealt directly with outputs and was silent about inputs.
The public-interest would then be better recognized and better served.
IV. Remote Sensing as a Feasible Technology for Treating Outputs
Accuracy of Remote Sensing
Any kind of test system makes two types of errors. A false failure occurs when the
system identifies a clean car as dirty. False failures cause motorists to incur costs
unnecessarily. A false pass occurs when the system identifies a dirty car as clean; false
passes are undesirable because high-emitting cars are not cleaned up.
It is well-established that remote sensing takes a reasonably accurate snapshot of the
CO and HC emissions from a car's tailpipe.(8) The snapshot
is perhaps a little blurry, if you will, but it tells us whether we gaze at an antelope or
a vulture. What is still debated is whether snapshots provide sufficient evidence, as
opposed to a dynamometer's motion-picture footage of the car's exhaust over a few minutes.
We argue that remote-sensing snapshots are in fact quite adequate. Motion-picture footage
is, after all, just a series of snapshots.
A problem with emission snapshots is that they might capture the car's emissions
performance at an uncharacteristic moment. A simple case is the cold start: during the
first few minutes it takes to warm up, every car produces high emissions. Vehicle
emissions also vary with speed, grade, load, and acceleration. If there were no way to
control for these factors, the usefulness of remote sensing would indeed be doubtful.
But remote-sensing technicians can counteract these factors. Officials can select sites
removed from residences and parking areas, to eliminate the cold-start problem, and find
road features or use orange cones to put narrow bounds on the grade, speed, and
acceleration variables. Remote sensing is most accurate when it reads cars under light
acceleration, so a mild incline would be a benefit. If site selection is not enough to
eradicate variation in driving modes, we can measure speed and acceleration using radar,
and we can detect the cold start using infrared cameras.
In one remote-sensing study, cars that had been read by a remote sensor were pulled
over and given a regular smog check on the spot. Of cars that had exceptionally high CO
readings (above 4 percent), 91 percent failed the smog test.(9)
Other studies have replicated this high correlation,(10)
and further developments would surely make the match even closer. Snapshots and
motion-picture footage get the same story.
Errors Must Be Construed on a System-wide Basis
A report on California's smog check program (Sommerville, p. 129) presents information
on how likely it is that a remote sensor will wrongly identify whether a car is clean or
dirty. Let's say the sensor identifies a car as dirty if it reads the CO emissions as
exceeding 4 percent of adjusted emissions. For a car in the set of clean vehicles, with
"clean" defined in the study, there is, on average, less than a one percent
chance -- 0.64 percent, to be exact -- that it will exceed this 4 percent
"cutpoint" at a single reading. For a car in the set of dirty vehicles, there
is, on average, a 66 percent chance that it will not exceed the cutpoint at a
single reading. If we have to go on merely a single snapshot, it seems that we have to
accept a lot of false passes. Alternatively, we could reduce the false passes by lowering
the cutpoint, but doing so would then increase the false failures.
Fortunately, we do not face such a harsh trade-off. Instead of thinking of the errors
in a remote-sensing program on the basis of a single snapshot, we should construe errors
on a system-wide basis of multiple snapshots. Remote sensing is a remarkably
inexpensive test -- figure a conservative estimate of 75 cents per test -- so we can
multiply the remote sensors on the roads and use a pass/fail criterion based on a pattern
of readings.
Consider, for example, a remote-sensing program for greater Los Angeles such that over
a biennium the average number of readings for the entire fleet were eight. (Here we use
summary figures for a scheme that is fully developed later.) Cars that traveled more than
average would be read more than eight times, and cars that traveled less would be read
less than eight times. Now suppose that we use a standard that fails a car if it exceeds
the 4 percent CO cutpoint at least once over the entire biennium. A clean car, tested
eight times, stands (on average(11)) a 95 percent chance
of never exceeding the cutpoint. That's a 95 percent chance of remaining undisturbed,
which, unless it be a new car, is 95 percent better than its prospects under the current
program! A dirty car, read eight times, stands (on average(12))
a mere 3.5 percent chance of not exceeding the cutpoint and getting away with a false pass
over the course of the biennium. On a system-wide basis, the program commits few
false failures and few false passes!
Remote sensing is a little less accurate at reading HC emissions than it is at reading
CO emissions, but again the issue in not one of pin-point accuracy. As researchers at
Resources for the Future have put it: "The remote sensing [single-]test
identification rate is not a critical determinant of the effectiveness of remote sensing
-- it is important only that super polluting vehicles can be identified by the test."(13) By increasing the cutpoint we can reduce the number of
false failures, and by increasing the number of tests per year we can reduce the number of
false passes.
Moreover, the margin of error can be further reduced. The straight cutpoint criterion
just presented is in fact very crude. The system would accumulate a wealth of information,
and more powerful and more precise criteria could be developed. Consider the case of a
salesman who travels all over Los Angeles in his clean car. He travels so much that his
chance of exceeding the 4 percent CO mark during the biennium is greater than the 5
percent implied above. But for this motorist the system will have registered numerous
clean readings, and on that basis can pardon a single dirty reading. A criterion might
say, for example, that three clean readings cancel a single dirty reading. Or it can
forgive first offenses, or evaluate on the basis of running averages rather than
cutpoint levels. It can blend the readings for the different pollutants into a composite
variable. It can scan for engine behavior that alternates between running clean and
running dirty (sometimes called "flipper" behavior). It can adjust for the
measured speed and acceleration of the vehicle at the moment of emissions readings. It can
take into account the age or model of the vehicle. And so on.
The Outputs that Remote Sensing Does Not Measure
Thus, policymakers can follow Adam Smith's advice of policing CO and HC at the output
stage. But are CO and HC the only outputs that matter? Are there other emissions that in
fact we cannot treat with remote sensing at the output stage, and hence need to treat with
smog-check inspections?
Nitrogen Oxides (NOx)
In fact, CO and HC are not the only outputs we care about. Cars emit many other
compounds, some of which are regulated and most of which are unregulated. Another
important regulated pollutant is nitrogen oxides (NOx). Two manufacturers of remote
sensing (Remote Sensing Technologies Inc. and The Hughes Santa Barbara Research Center)
have developed sensors capable of reading NOx emissions. The accuracy is not as good as
that for CO or even HC, but it is certainly good enough to detect high emissions of NOx.
Higher emitters of NOx emit more than 3000 ppm, and low emitters emit less than 1000 ppm.
Each of the two manufactureres reports that its NOx readings, at least in prototype, are
accurate with a standard deviation of 500 ppm. Hence the sensor is should be capable of
separating high and low emitters.(14) Both Remote Sensing
Technologies and Hughes now market remote sensors that measure all three pollutants, and
they say accuracy will improve with further development.
A more fundamental question about NOx is whether being able to measure NOx really adds
much value to what we can accomplish with the ability to measure CO and HC. The answer
appears to be, "yes." The automotive malfunctions that generate excessive NOx
emissions sometimes also produce excessive CO and HC emissions. Hence, to some extent
cracking down on the CO and HC culprits also means cracking down on the high NOx
polluters. For example, in a study conducted in Michigan in 1992, 37 vehicles with high
on-road emissions of CO and HC were identified by remote sensors and were recruited for
repairs.(15) After repairs were made, the CO emissions
declined by 95 percent, the HC emissions declined by 92 percent, and the Nox emissions
declined by 56 percent. These results, although from a small sample, give some
encouragement. But we do know that most of the worst NOx-emitting cars do not have
high CO or HC readings. For that reason, we should plan on utilizing remote sensing to
read NOx emissions, as well as CO and HC.
Evaporative Emissions
Another source of noxious outputs is evaporative HC emissions. These occur, for
example, when gasoline mixes with air in a carburator, when the fuel line has a leak, or,
most simply, when the gas cap is missing. There is considerable debate over the magnitude
of these types of emissions. Sommerville (1993, p. 97) claims that evaporative emissions
account for over a third of the fleet's HC emissions, and the E.P.A. has suggested the
evaporative portion to be as high as one half.(16) These
claims are based on laboratory tests of only a few vehicles and faulty estimates of the
emissions inventory.(17) More recently, scientists at the
Desert Research Institute have studied the air in highway tunnels; subtracting out the
measured HC emissions coming from car tailpipes, they find that evaporative emissions
account for less than 20 percent of HC emissions.(18) The
tunnel studies do not consider, however, evaporative emissions that occur while a car sits
parked with the engine turned off.
Evaporative emissions of the fleet are declining steadily as new engine technology has
replaced older technology, particularly the replacement of carburators by fuel-injection
systems. Evaporative emissions will decline further if fuel-tank vapor recovery systems
come into use. It is conjectured that a significant portion of evaporative emissions
results from missing gas caps. A simple strategy for addressing the problem would be to
broadcast television messages to inform viewers that not having a gas cap costs them
gasoline, fouls the air, and creates dangerous slick spots when gasoline spills onto the
road.
Remote sensing does not read evaporative emissions, but it might help somewhat in
reducing evaporative emissions nonetheless because these emissions are correlated with
tampering and inadequate maintenance, and these in turn are correlated with high emissions
of CO, HC and NOx. Motorists who are induced to reduce their tailpipe emissions will make
repairs that, in some cases, also act to reduce non-tailpipe emissions. Also, if cars
flagged by remote sensing are required to report for follow-up inspection, then these
follow-up procedures might include a visual inspection for sources of excessive
evaporative emissions.
A final reason that the problem of evaporative emissions does not argue against a pure
remote-sensing program is that, if the problem is a chink in the armor of remote sensing,
it is indeed a chink in the armor of any inspection system. Although the IM-240 protocol
includes tests for evaporative emissions, these tests are time-consuming and of
questionable effectiveness. There is even concern that in performing the tests (known as
the "pressure" and "purge" tests), technicians compromise the
functioning of the emissions control system and consequently cause evaporative emissions
to increase.
Remote sensing, then, is not able to measure the full range of emission outputs that
concern us, but its CO and HC capabilities cover most of the problem, and if NOx
capability is added, even more. The other outputs not treated by remote sensing are
relatively minor, or are not treated in a cost-effective manner by any other inspection
program.
Will Scofflaws Learn to Foil Remote Sensing?
One of the chief reasons to favor an output-oriented policy is that, in leaving inputs
unregulated, entrepreneurship is unleashed to the task of finding creative ways of
producing what customers desire. There is one hazard, however. Strictly speaking, the
output that a remote-sensing program sets for motorists is avoiding-smog-citations. It is
possible that the process of entrepreneurial discovery will respond, not by cleaning up
cars, but by foiling the system. Smog Check itself is an object lesson of this hazard. A
pure remote-sensing program will yield emission reductions only if human cunning cannot
find convenient ways of foiling its efforts. Although the only way to find out really if
motorists can foil remote sensing is by experience, we can try to anticipate. We can see
five basic approaches to foiling remote sensing. In discussing each case we will describe
how the program can respond to the scofflaws. Before doing so, it is necessary that we
briefly introduce an essential component of a sound remote-sensing program.
The remote-sensing program should deploy a small number of on-road pull-over teams. If
a car exhibits a suspicious feature, the computer will blow a whistle or illuminate a
light, and the car can be stopped on the spot. This on-road accost would not occur
for mere gross polluters, but only for those also suspected of subterfuge or rank
noncompliance.
The five methods of foiling remote sensing are as follows:
- Obstructing the license plate, such as by splattering it with mud or putting a trailer
hitch in front of it. This is a problem that could be easily policed by on-road pull-over.
When the computer receives information that a car has an illegible plate and high
emissions, it will blow a whistle in real time and the car is pulled over. Even without
on-road forces, the problem could be combatted with elementary detective work using the
video images of gross-polluting cars that have illegible license plates.
- Keeping the car unregistered so the program is not able to identify the car and notify
the motorist. This is a problem that is encountered by inspection programs of every kind.
Again, the computer could be programed to blow a whistle and the on-road forces could
easily be used to nab unregistered vehicles. For various reasons, however, we may wish to
restrict apprehension of unregistered vehicles to those that are also high emitters.
- Evading remote-sensing sites. This will be difficult for motorists because
remote-sensing sites change by the day and are numerous and unnanounced. One could imagine
motorists with CB radios alerting their fellows, but it is hard to imagine that this
evasive action would be consistently effective. Some have suggested that radio stations
might alert motorists to remote-sensing sites in their traffic reports, but we find it
hard to believe that professional radio stations would engage in such open subversion.
Most radio listeners, after all, are law-abiding citizens who oppose gross polluting. We
could infer the extent of evasion by comparing the rate of high emissions at normal remote
sensing sites with the rates at special stealth sites where motorists cannot tell that
their car's emissions are being read. Also, we could gauge the problem of daily radio
tip-off by comparing rates of high emissions during the first hour of operation at a site
with the rate during later hours. If we found evidence of significant evasion we could
step up numerous tactics to mitigate evasion.
- Doing things to eliminate the exhaust plume as observed by the remote sensor, such as
altering the tailpipe or turning off the car as it passed by a remote sensor. These
tactics are expensive or inconvenient. Again, the computer could flag these cars for
pull-over.
- Tampering to alter the contents of the exhaust plume. This would require an additional
gas source, to be mixed with the true exhaust, or perhaps an additive to the gasoline.
More specifically, motorists might be able to foil remote sensing if they can make their
car emit excessive carbon dioxide emissions, because remote sensing measures CO, HC, and
NOx each as a ratio to carbon dioxide emissions. Increasing the carbon dioxide content
would therefore disguise gross emissions of the regulated pollutants. This kind of
tampering represents the only serious threat to th remote sensing program proposed in
this paper. Whether it is a potent threat is unknown, but even if it is, program
officials would employ their ingenuity in response, perhaps by devising a sensor for
reading the absolute magnitude of carbon dioxide.
It appears that scofflaw tactics (1) through (4) pose no real threat to a program
suited with on-road pull-over power. This power, even if exercised only seldom, would
place a bitter check on subterfuge and would go a long way in controlling the problem of
unregistered high-emitting vehicles. The accumulated record of license-plate snapshots
that are taken concurrently with remote-sensing measurements would supply incontrovertible
evidence in prosecution. Whether tactic (5) poses a serious threat is a question that
deserves further investigation.
V. Recommended Features of a Remote Sensing Program
We discuss in turn the following six components of a good remote-sensing program:
- On-Road Remote-Sensing Units
- No Periodic Inspection
- Citation By Mail
- Enforcement by DMV and On-Road Pull-Overs
- Early Driver Notification
- Repair Subsidies to the Poor
On-Road Remote Sensing Units
The program should have numerous remote sensing teams which deploy themselves at
random. They should not announce their siting plans, and should pick sites to minimize
evasion, congestion, and problems with getting valid readings. Legislation should attempt
to simplify and ease the process for obtaining site permits from state, county, and
municipal authorities.
No Periodic Inspection
The program would deploy mobile remote sensing units in adequate number to read cars an
average of four to eight times over the biennium. A basic question on everyone's mind is,
Should remote sensing merely supplement universal periodic inspection, or should it replace
periodic inspection?
Earlier we likened remote-sensing readings to snapshots and smog-check inspections to
motion-picture footage. We have shown that, from a practical standpoint, each approach
gets the same picture. There are however two major differences between them. First, the
cost of decentralized smog-check inspection is about 60 times the cost of a single
remote-sensing inspection.(19) If we say that on average
cars should receive eight snapshot readings over the biennium, then smock-check inspection
is still seven times as expensive as a biennium's worth of remote sensing testing.
Centralized inspections would probably be even more costly than decentralized inspections.(20)
Second, Smog-Check's motion-picture footage captures behavior that is like a
performance played out on a stage. Motorists can tamper for the Smog Check inspection.
Some motorists today are like a crooked bank teller who sneaks into the bank vault and
pinches some cash. When interrogated the next day the teller simply plays innocent. In the
case of remote sensing, the snapshots captures behavior that is unvarnished and true to
life. Violators are caught in the act.
Defenders of periodic inspection say that motorist deception will be combatted by
remote sensing, which, as a program supplement, will discourage tampering between periodic
inspections. That conclusion follows, but then we must ask: What does periodic inspection
add to the surveillance achieved by remote sensing? If the bank had a video recording of
the bank teller's actions, and could easily scan it to determine whether he had snuck into
the vault, there would then be no point in also interrogating him about his
actions. With remote sensors supplying frequent and unanticipated inspection, periodic
inspection becomes an expensive redundancy. It is the pony-express service that
accompanies electronic mail.
Citation By Mail
The program would issue citations by mail to motorists with high-emitting vehicles. We
will discuss later whether these citations would impose a monetary fine or would summon
motorists to follow-up inspection. For now, assume that the citation calls for some kind
of redeeming action to be made within a time period, such as 21 days. Here we discuss some
of the issues involved with citation by mail.
One concern is that some citations will not be properly received. Sommerville (p. 124)
reports that about seven percent of vehicles in California are unregistered -- a problem
for any inspection program. But for a large portion of these vehicles the registration has
merely lapsed a few months, so a citation would be properly received. As for motorists who
change residence and experience problems in receiving their mail, a smog program should
treat the problem no differently than a credit card company does. People are held
responsible for seeing that they notify others of their change of address and that their
mail is properly forwarded.
Another issue is popular and political acceptability. Sometimes the idea of smog
citation by mail is likened to photo-radar speeding citation by mail (a practice that has
been used in Pasadena and Folsom, California, and Pleasant Valley, Arizona). But comparing
smog to speeding is problematic. Current speed limits are not analogous to "smog
limits." Virtually all motorists exceed speed limits on a regular basis, whereas only
a small minority would exceed smog limits. Many Americans feel that speed limits are too
low and that enforcement is rather arbitrary. When traveling on a major highway, in fact,
traveling at 70 m.p.h. may be safer than traveling at 55 m.p.h., because speed variance is
one cause of accidents.(21) In contrast, owners receiving
a smog citation would be guilty of a real and certain harm to society. As for the problem
of "vicarious responsibility" -- that is, the driver not being the owner -- the
problem is very minor in the case of smog: emissions do not depend on who is behind the
wheel, unless the driver has very peculiar driving habits.(22)
One difference that makes smog citation less acceptable than speeding tickets is
that motorists have a speedometer to tell them how fast they are going, but they do not
have a "smogometer." High emitters might feel that it is unfair to penalize them
for their ignorance. This problem, however, can be mitigated by public-access
remote-sensing facilities, warning notices, and low initial fines. Furthermore, the
actually-enforced emission limits would be much higher than the legally enforceable
emission limits -- proportionally much higher than is the case for speeding enforcement --
so actually-cited motorists would be on very shaky ground in claiming that their car was
within the legally enforceable limits.
A recent article argues that photo-radar programs are on firm ground both
constitutionally and evidentiarily.(23) As for public
opinion, researchers have surveyed citizens on their attitudes toward photo-radar
citations for highway travel and found that 60 percent approved while 35 percent
disapproved.(24) If researchers find this much juridical
and popular support for photo-radar, they are likely to find more support for
remote-sensing smog citation.
Whatever the extent of public objection to remote sensing and citation by mail, the
objection would mainly be based on a claim to privacy. Here the public must be made to
recognize that remote sensing is a sort of social control mechanism, a mechanism to police
good behavior, and that every type of social control mechanism -- whether it be the
criminal justice system, the media, credit reporting, or gossip -- necessarily collides
with privacy in at least a small way. That remote sensing represents a serious invasion of
privacy is doubtful. The roads are public property and the government is the steward of
the airshed. Checking discreetly whether individuals are abusing their access to these
resources is not an "unreasonable search" or an intrusive act. One's exhaust
emissions are hardly a matter of personal intimacy, and it is unlikely that the mere act
of monitoring emissions would give motorists a sense of being invaded. As for preserving
individual privacy within the household, smog citations would not specify the exact
time and place of readings. They should, for example, specify the week during which the
reading was made, and say nothing of the location. The exact information, including video
images, could be made available upon request and used for dispute resolution.
Enforcement: DMV Records and On-Road Pull-Overs
What will induce motorists to comply with smog citations? There are two means of
inducing compliance. First, under current state law the Department of Motor Vehicles can
impose fines, deny vehicle registration, and impound vehicles that do not obtain the
required smog certification.(25) In a remote sensing
program, driver's licenses, vehicle titles, and registration could be frozen until fines
are paid.
Second, by virtue of automatic license-plate readers, on-road units can easily identify
and pull over rank noncompliers and impound their vehicles. Remote sensing is a means
both of identifying gross polluters and of apprehending them. Current law in
California requires the Bureau of Automotive Repair and the Air Resources Board to
institute an on-road enforcement program which may include remote sensing.(26)
A record of remote-sensing violations and noncompliance would certainly supply probable
cause. Other states as well have laws that allow authorities to pull over
"smoking" vehicles; the remote sensor is essentially a means of identifying
"smoking vehicles," although the smoke may be invisible.
We envision the pull-over forces as merely the final enforcer. We do not
envision them accosting the mere high emitter, the mere unregistered vehicle, the mere
license-plate obscurer, etc. They would pull over only the high emitters who are also
unregistered, have illegible license plates, have not complied with previous citations,
etc. Thus, only the hard-core minority of problem will be subjected to on-road pull-over.
If we assume 25 pull-over teams, each working 260 days per year, seven hours per day,
making three pull-overs per hour, all together they make 136,500 pull-overs per year, or
1.6 percent of the vehicle population. These would be the recalcitrant 1.6 percent who
defy the law. Anyone who refused to comply with the program would face a large risk of
pull-over.
The pull-over arm of a remote sensing program should be separate from existing police
forces. The program ought to create its own "smog squad" that enforces only
emissions violations, just as parking patrols enforce only parking violations. If smog
pull-over activities have to depend on conventional police resources, control over
enforcement becomes spread over multiple agencies and coordination becomes difficult. It
may be difficult and undesirable to divert the conventional police from their other
duties. Smog enforcers would better perform their duties if they are specially trained and
specialize in their activities.
Early Driver Notification
An important feature of a good remote-sensing program is driver notification for
motorists whose cars are within smog limits but are approaching the limits or showing
deterioration. The state would invest in a post-card to notify the motorist that he may
wish to service his car. The notification card would cite three good reasons for doing so:
(a) helping to clean the air; (b) improving his gas mileage; and (c) reducing the
likelihood of his being subject to future penalties. Early driver notification would be a
positive service to the motorist, as well as a sort of warning. It would prompt some
people to reduce their emissions preemptively, before being compelled to do so.
Evidence of the power of early notification comes from a remote-sensing demonstration
project conducted in Provo, Utah.(27) Over the course of
several weeks, researchers monitored emissions at highway off-ramps. One group of
gross-polluting motorists were sent a friendly notice telling them that their car was
dirty and that they could take advantage of free repairs to get them cleaned up. Some of
them took up the repair offer, but the motorists relevant to our point here were those in
the notified group who chose not to take up the repair offer. These motorists
nonetheless showed subsequent emissions reductions of 28 percent. Merely being alerted to
the fact that one's car is gross polluting can prompt one to clean it up. Part of this 28
percent reduction should be attributed to the natural tendency for motorists to clean up
their dirty cars, but only part. A second group of gross pulluters acted as a control
group, in that they were not sent any notices or invitations to repairs.
High-emitters in this group showed the natural tendency toward reduced emissions to be
only 14 percent. The difference between the reduction rates of 28 percent and 14 percent
between the two groups -- that is, 14 percent of emission reduction -- indicates the
potential of purely voluntary notification. In a "fully armed"
remote-sensing program, early notification would act not only as a friendly notice but
also as a warning.
The program should also extend a "notice of appreciation" to motorists with
clean cars, perhaps after a series of readings has been compiled. This would serve to
reassure the motorist of his clean status, and it would build good will with the public.
Repair Subsidies and Waivers
For reasons of equity, enhanced compliance, and political acceptability, it makes sense
for the program to offer repair subsidies to the poor. Current California law provides for
a High-Polluter Repair or Removal Account, to provide financial assistance to low-income
people seeking to repair (up to $450) or replace (up to $850) their gross-polluting cars.(28) We favor a repair subsidy program but oppose
"buy-back" or vehicle retirement programs.
Any kind of subsidy program invites individuals to position themselves to be
recipients. In a sense, a repair subsidy creates a demand for high-emitting vehicles, and
individuals will meet this demand if the program does not include countervailing
incentives. The following requirements ought to be built into the repair subsidy program:
- Only repairs certified as necessary to rectifying the car's high emissions are eligible.
A car marginally exceeding its emissions standards is not eligible; instead it should be
granted a waiver.
- The car's emission system must show no signs of deliberate tampering.
- The car must be registered.
- The car owner must have a low income and low wealth, as evidenced by tax returns.
- The car owner must pay a deductable, say of $75, of the total repair bill.
- The car owner must make a copayment for the remaining amount of the bill, say 35
percent. For a total repair bill of $450, therefore, the car owner would pay:
$75 deductable + 35 % of $375 = $206
The state would pay $244.
- No car nor individual could be the recipient of more than one repair subsidy within a
four year period.
Funding for repair subsidies could come from general levies on car registration,
program fees and fines, or corporate contributions to obtain pollution credits.
We are unenthusiastic about buy-back programs because they are expensive (perhaps
$500-$800 per car), and because they tend to remove cars that are in fact driven very
little. With a buy-back program, an individual who is about to junk a car would have a
strong incentive to put it into a condition that made it eligible for a buy-back program.
The buy-back then is not really removing a dirty car from the road. With careful attention
the problems with buy-back programs can be reduced, but we should be reluctant to create
an additional government program when remote sensing might be able to treat the problem
more directly. The remote sensing program would impel owners of high-polluting clunkers to
clean them or retire them. Supplemental buy-back programs could perhaps be initiated by
volunteer citizen efforts, like Project Clean Air in Kern County, California.
Waiver limits are the thresholds at which the repair bill would be so high that the car
is granted an immunity from the program. With a repair subsidy program in place, waiver
limits for gross polluters ought to be very high, or perhaps eliminated altogether. It is
very rare that an untampered car calls for more than $800 in repairs to rectify its
emissions. With the repair program described here, the individual would pay $329 towards
the bill. We recognize that even this amount is a very hefty tab for someone in poverty,
but this is the rare, worst case scenario.
VI. The Recommended System of Penalty: Monetary Fines
When a motorist receives a citation for exceeding the speed limit, driving recklessly,
or parking illegally, he is required to pay a fine. A similar system of penalties could be
utilized for smog violations. The alternative to a system of monetary fines would be a
system that requires cited motorists to report for follow-up inspection. Here we argue
that the best system would utilize monetary fines, and no follow-up inspection.
Let's consider the philosophy behind social control mechanisms in general. There are
three goals that such mechanisms may aim at: (1) compensation to those who suffered by the
misconduct of wrong-doers; (2) protection of life or property (whether public or private)
by deterrence, which is achieved by punishment of wrong-doers; and (3) correction
(or rehabilitation) of the ways of wrong-doers.
Now consider the case of remote-sensing. The concrete objective of the program is the
protection of the airshed from gross polluters. The airshed is a common property of the
citizens, and the government acts on their behalf. Those who respect that property
certainly ought not to be penalized for their good behavior (as they are by any variety of
periodic inspection). But more to the point, it would be just to have those who damage the
common property compensate those who have been harmed. Revenues from fines would go
toward financing the program, which benefits the community as a whole. Making gross
polluters pay fines is one way of achieving community compensation, and of giving the
gross polluters a means of redeeming themselves with the community.
From the point of view of deterence, monetary fines are again at least as good as
follow-up inspection. Like speeding tickets, fines for smog violations can be graduated
with the extent and consistency of the violation. They can give a mere slap on the wrist
to those edging over the (actually enforced) limit, and a stiffer smack to flagrant
offenders. A program of monetary penalties will induce motorists to value, and, if
necessary, to seek in the marketplace, their own prevention of such deterrence. In other
words, motorists will be induced to keep their cars clean.
Finally, there is the issue of corrections or rehabilitation. If the private
individual, in his "local situation," values good advice on getting his car to
pass muster with remote sensors, he will turn to the same sources that he turns to for his
other needs, comforts and pleasures -- namely, his friends, family, neighbors, co-workers
and entrepreneurs in the private marketplace. The remote-sensing program will be creating
a market demand for prevention-of-smog-citations. This good would under such a program be
a normal private good like hamburgers or handkerchiefs; the free, private market will be
best at producing and supplying it. Perhaps consumers would demand and mechanics would
offer a warranty on smog repairs. Perhaps entrepreneurs would open up drive-through
testing facilities that use remote sensing and that charge just a few dollars. Such
testing might become be quicker and cheaper than going for a carwash.
Were the government to require follow-up inspection for dirty cars, it would be
implementing precisely the command-and-control specification of inputs that we have
criticized. The points raised earlier about the problems with specifying inputs -- lack of
local knowledge, chance of specifying the wrong inputs, lack of adaptation and
experimentation, added administrative costs, and heightened politicization of the issue --
all apply with force to the utilization of follow-up inspection. This is an instance where
it is appropriate to invoke the basic truth that capitalism works better than socialism.
Are Monetary Penalties Inequitable?
The first question about equity is whether singling out the gross-polluting minority is
unfair. As compared to a system of universal Smog Check, the answer must be that it is not
unfair. Universal Smog Check may superficially seem more equitable because everyone goes
through a similar experience, but that is the sort of equality that a government achieves
when it makes poverty universal. The goal of a good program must be to pursue the problem
cases; it is no comfort to them to know that the others also have to undergo Smog Checks
or other costly measures. Increasing equality does not necessarily serve true equity
goals.
Most high emitters are lower-income motorists. The repair subsidy program will do much
to ease compliance for these motorists.
Another equity question is whether a system of monetary fines, as opposed to follow-up
inspection, is inequitable. Some might dub monetary fines a payment for the right to
pollute. We see no grounds for a charge of inequity. In a sense, in paying smog fines one
does buy a right to pollute. In this idiom, however, we would also have to say that in
paying speeding tickets one buys the right to speed. And indeed, the rich are in a
position to buy more of such rights. But if the rich decide to buy more polluting rights,
that means that they have less wealth left over to lay claim to larger portions of the pie
in other areas of life, such as food, housing, or entertainment. Once we take a full
account of things, we see that imposing monetary fines does not favor the rich.
Consider the case of the rich playboy who tampers with his Porsche and figures that
he'll routinely pay the smog fines. The remedy would be, as is done with speeding
violations, to escalate the monetary penalties for routine and flagrant offenses. The
fines could be gradually heightened until the wayward Porsche driver can expect to pay an
extra few dollars for every trip he makes.
A concern about the rich buying the right to pollute seems to us, therefore,
unalarming. The important point is that they in fact be made to pay if they are going to
pollute. Denying the opportunity to pay cash, and instead requiring follow-up inspection,
may indeed make life harder for rich gross polluters, but, short of reveling in malice or
envy, no one else will gain comfort from this requirement.
Another way to approach equity concerns is to ask specifically how the poor will fare.
Indeed, monetary fines on the poor will smart, and will induce them to clean up their
cars. The system of warnings and gradually-increasing fines will, however, give them ample
opportunity to avoid the harsher fines. Monetary fines will hurt, but deterrence is a goal
of the program. Whether we impose fines or require follow-up inspection, the deterrent
power comes from punishing wrong-doers, poor and rich alike.
One appealing idea is to give smog violators the option of paying a fine or reporting
for follow-up inspection. This will give the motorists an alternative to paying fines that
strain their budgets. We will return to this idea later in the paper.
One final point about equity: Equity is about the difference of conditions between
groups, but not only income groups. There is also the distinction between those who comply
and those who do not, between the innocent and the guilty. Here equity and justice
considerations would seem to dictate that these groups be treated differently. Equity and
justice would seem to suggest, rather, that the guilty compensate the innocent for their
offenses, at least in an aggregate sense. The best way to do that is by monetary fines.
VII. Estimates of Public-Sector Program Costs and Program Revenues
We have laid out the ideal program: pervasive remote sensing, imposition of monetary
penalties, no follow-up inspection, and on-road pull-over units. Here we estimate the
public-sector costs and revenues for a program for the greater Los Angeles area. The fleet
consists of 8.5 million vehicles.(29) We will assume that
the average number of times that a car's emissions is read by remote sensors per year is
four. In other words, throughout this exercise we are assuming that each year the program
makes 4 X 8.5 M (= 34 M) valid readings per year.
To establish the fullest possible range of estimates, every variable will be given
three possible values: an optimistic value, and intermediate value, and a pessimistic
value. The pessimistic case is really very pessimistic. Nevertheless, even after slanting
cost assumptions against the program in every detail, we still find that the program is
inexpensive relative to Smog Check. In our judgement, a realistic estimate lies somewhere
between the optimistic and the intermediate estimates.
The variables, assigned values, and calculations are shown in Table 1. The table is
divided into six parts: Inspection Capability and Remote Sensing Deployment, Costs of
Equipment, Labor Costs, Miscellany and Administrative Overhead, Costs of Citations, and
On-Road Pull-Over Activities.
| |
Optimistic
Estimate |
Intermediate
Estimate |
Pessimistic
Estimate |
| Inspection
Capability and Remote Sensor Deployment |
|
|
|
| 1. |
Hours of operation per day |
10 |
8 |
7 |
| 2. |
Days per sensor per year |
330 |
300 |
260 |
| 3. |
Hours per sensor per year |
3,300 |
2,400 |
1,820 |
| 4. |
Gross readings per sensor per hour |
650
1/5.5 sec. |
500
1/7.2 sec. |
400
1/9 sec. |
| 5. |
Rate of valid readings |
95% |
88% |
80% |
| 6. |
Valid readings per hour |
618 |
440 |
320 |
| 7. |
Valid readings per sensor per year |
2,037,750 |
1,056,000 |
582,400 |
| 8. |
Number of sensors required for four
valid readings per car per year |
17 |
32 |
58 |
| 9. |
Total sensor hours per year |
55,061 |
77,273 |
106,250 |
| Equipment Costs
per Remote Sensor |
|
|
|
| 10. |
Sensor (to read CO, HC, NOx) and
computer |
$95,000 |
$120,000 |
$160,000 |
| 11. |
Vehicle with A/C, generator, etc. |
$26,000 |
$35,000 |
$40,000 |
| 12. |
Automatic license-plate reader with
video equipment |
$16,000 |
$20,000 |
$30,000 |
| 13. |
Acceleration measurement equipment |
$4,000 |
$5,000 |
$9,000 |
| 14. |
Safety Equipment |
$1,000 |
$2,000 |
$3,000 |
| 15. |
Subtotal, equipment costs |
$138,000 |
$177,000 |
$233,000 |
| 16. |
Annual maintenance and insurance
rate on initial cost of equipment |
0.15 |
0.25 |
0.35 |
| 17. |
Annual maintenance and insurance
costs for equipment |
$20,700 |
$44,250 |
$81,550 |
| 18. |
Life of Equipment (years) |
6 |
4 |
2 |
| 19. |
Annualized purchase cost of
equipment |
$23,000 |
$44,250 |
$116,500 |
| 20. |
Total annualized equipment,
maintenance, and insurance cost per sensor |
$43,700 |
$88,500 |
$198,050 |
| 21. |
Total annualized equipment,
maintenance, and insurance cost for all sensors |
$729,138 |
$2,849,432 |
$11,561,985 |
| Labor |
|
|
|
| 22. |
Number of employees per sensor |
1 |
1.2 |
1.5 |
| 23. |
Cost per employee per hour |
$30 |
$45 |
$60 |
| 24. |
Employee time per hour of remote
sensing |
1.15 |
1.25 |
1.35 |
| 25. |
Total employee cost per hour of
sensing operation |
$34.50 |
$67.50 |
$121.50 |
| 26. |
Total employee cost per year |
$1,899,595 |
$5,215,909 |
$12,909,375 |
| Administrative
Costs |
|
|
|
| 27. |
Annual cost of site selection |
$2,000,000 |
$3,000,000 |
$4,000,000 |
| 28. |
Correlation with DMV data |
$2,000,000 |
$4,000,000 |
$5,000,000 |
| 29. |
Program evaluation and refinement |
$2,000,000 |
$3,000,000 |
$4,000,000 |
| 30. |
Miscellaneous |
$2,000,000 |
$3,000,000 |
$4,000,000 |
| 31. |
Total annualized administrative
costs |
$8,000,000 |
$13,000,000 |
$17,000,000 |
| 32. |
Cost per valid test |
$0.31 |
$0.62 |
$1.22 |
| Citation
Costs |
|
|
|
| 33. |
Cost of documentation, printing, and
handling per notice |
$0.05 |
$0.10 |
$0.15 |
| 34. |
Total annual notification cost |
$4,717,500 |
$5,355,000 |
$5,992,500 |
| |
|
|
|
|
| 35. |
Annual cost of pull-over activities |
$3,000,000 |
$6,000,000 |
$12,000,000 |
| 36. |
Total annualized program cost |
$18,346,233 |
$32,420,341 |
$59,463,860 |
Table 1. Cost Estimate for a Pure Remote-Sensing Program
for the Los Angeles Region
Inspection Capability and RSD Deployment
Lines 1 and 2 give estimates of the average number of deployment hours per day per
remote sensing device (RSD), and the average number of days of deployment per year. The
remote-sensor is technically capable of reading tailpipe emissions much more quickly than
cars in fact pass by on the road, so the constraint in readings per hour is one of traffic
flow. Based on experience in remote-sensing demonstrations,(30)
we set the optimistic estimate at 650 readings per hour (or one every 5.5 seconds), the
intermediate at 500 per hour (one every 7.2 seconds), and the pessimistic at 400 per hour
(one every 9 seconds). The next line acknowledges that for technical reasons the system
may not get a usable measurement and license-plate reading for every car. Along with
estimates for other variables shown in the table, line 8 tells how many RSDs would be
required to make an average of three readings per car in the fleet. Naturally the
optimistic column shows the lowest number of RSDs required.
Equipment Costs
This section of Table 1 itemizes the equipment needed for each on-road unit in the
program: the remote sensor (including beams, sensors, and computer), a vehicle (presumably
a van), automatic license-plate reader, acceleration measurement equipment, and safety
equipment. Estimates are based on a December 1992 survey of prices and market availability
for such equipment (Hughes Environmental Systems, pp. 5.13, 3.4-3.6), and on consultation
(August, 1995) with Dennis Smith of Remote Sensing Technologies Inc. and with Frank Huerta
of Hughes Santa Barbara Research Center (these two firms sell most of this equipment).
Estimates of lifespan, maintenance costs and insurance are also included. Line 21 gives
total annualized cost of equipment for the program.
Labor Costs
There are three variables that go into labor costs: number of employees required per
RSD, hourly cost burden per employee (wage rage, benefits, Social Security taxes, workers'
compensation, etc.), and employee job time per one hour of RSD operation (there will be
down-time while employees are in transit, setting up equipment, etc.) Line 26 gives the
estimates for total labor costs for the program.
Administrative Overhead and Miscellany
Line 31 gives estimates for the annualized cost of setting up the program,
evaluating it, site selection for the remote sensors, correlation of emissions data with
DMV data, and so on.
Cost Per Test
It is useful to estimate the cost per test, based on the assigned values for inspection
capability, equipment cost, labor cost, and administrative overhead. This calculation
therefore includes all costs that go merely into testing cars; it excludes the costs of
citation and pull-over. Line 32 shows a cost-per-test range of 31 cents to $1.22. In our
judgement, the intermediate figure of 62 cents per test can be taken as a conservatively
high estimate.
Cost of Citation
This section of Table 1 estimates the cost of notifying motorists. Line 33 assigns
values to the cost of documentation and printing each notice. For the total cost of
notification, given in line 34, we figure that on average every car ought to be the
subject of at least one notice per year, if only to report to the owner that the car is
clean. Assuming also that some dirty cars receive multiple notices, we assume that each
year the average number of notices received per car in the fleet is 1.5. Also going into
the calculation of line 34 is a postage rate of 32 cents per notice.
On-Road Pull-Over Costs
Line 35 give estimates for the annual costs of on-road pullover activity. A rough
accounting for the intermediate value of $6 million could be made as follows: 25 pull-over
teams, each utilizing three employees, each employee costing in total employment burden
$70,000, each team utilizing equipment and vehicles with combined annualized cost of
$30,000. It is quite possible that pull-over activity would take advantage of on-site
economies of scale by having one peace officer working with several technicians, as well
as the on-site RSD operator. The site would require adequate room to pull over several
vehicles at once.
Costs of Repair Subsidies
We separated the repair-subsidy costs into Table 2. These expenditures achieve
something without analog in the cost calculations for Smog Check presented below, so for
purposes of comparison they have been kept separate from the other costs of the
remote-sensing program. In the Intermediate scenario of Table 2 we assume that 0.5 percent
of the fleet will receive a repair subsidy. To quality for a subsidy the owner must have
low-income status and his car must be high emitting, be registered, not have been
tampered, and not have benefitted from a repair subsidy in the previous four years. We
assume that the average subsidy is $250 (which corresponds to an average total repair bill
of $460 for cars receiving repair subsidies). These assumptions yield total annual
subsidies of $10.6 million.
| |
Optimistic
Estimate |
Intermediate
Estimate |
Pessimistic
Estimate |
| 1. |
Number of cars receiving subsidy
each year |
21,250
(0.25% of fleet) |
42,500
(0.50% of fleet) |
85,000
(1% of fleet) |
| 2. |
Average value of subsidy |
$200 |
$250 |
$300 |
| 3. |
Total cost of subsidy |
$4,250,000 |
$10,625,000 |
$25,500,000 |
Table 2. Repair Subsidy Costs
Total Program Costs, Compared to Costs of the Current Smog Check Program
We have now specified every item in the program. The Intermediate estimate of program
cost is $32 million. Let's consider this amount in comparison with the cost of the current
Smog Check program.
Somerville (1993, pp. 94, 103) estimates the cost current Smog Check. The cost per test
can be broken down into three parts:
| Station Cost |
$21.18 |
| State Cost |
$7.00 |
| Motorist's Time Cost(31) |
$13.88 |
TOTAL COST |
$42.06 |
Cost of Smog-Check per Test
With the estimate of $42.06 per test, we then multiply by an estimated 4.25 million
Smog Checks per year.(32) That would give a total cost for
the Los Angeles area Smog Check program of $179 million. There is, however, one more
significant cost of the current Smog Check program that would be largely avoided in the
remote sensing program: the cost of unnecessary and even counterproductive repairs to
marginal emitters. The Smog Check program enforces a more stringent standard against all
cars, even those that are basically clean but marginally over the limits. These marginal
emitters then go through expensive repairs, even though we know that it is only the gross
polluting 10 or 20 percent that really matter. There is clear evidence that, remarkably,
at least one third of the cars that fail Smog Check and are repaired to pass, subsequently
have higher emissions!(33) This is truly an enormous
and totally useless cost of the current program, and it is a cost that would be largely
avoided by the remote sensing program. (It is, though, a cost that conventional Smog Check
could reduce by utilizing more lenient emissions standards.) Taking this cost of
superfluous repairs into account would heighten the contrast between the cost of the two
programs, but we will leave it aside in what follows.
Using the Intermediate estimate for the remote sensing program (excluding the cost of
repair subsidies), and the very generous estimate for the Smog Check program, we then get
the following:
|
Remote Sensing |
Smog Check |
| Total Program Cost |
$32 M |
$179 M |
The cost of the current Smog Check Program is over five times the cost
of the proposed remote sensing program. Even for the Pessimistic estimate for remote
sensing, the current program costs three times more.
Meanwhile, remote sensing not only costs far less, it promises to really make a huge
difference in the quality of the air. A remote sensing program makes unanticipated tests,
and it tests each car, on average, eight times more often than the current program. The
ratio of cost-effectiveness between the two programs could well run in the hundreds.
Program Revenues
The program also would generate some revenues from the collection of smog fines. In
Table 3, line 1 assigns values for the average dollar amount of all smog fines paid. Line
2 gives estimates of the total number of fines levied, with the Intermediate estimate
corresponding to six percent of the fleet. Line 3 then assigns values for the percentage
of levies that are actually paid. The Intermediate estimate of Total Revenues Collected
(Line 4) shows $15 million, an amount equal to 41 percent of the Intermediate estimate of
total program costs. Aside from the revenues from smog fines, there might also be added
revenues from the increase in the rate of vehicle registration, which would result from
performing on-road pull-overs.
| Revenues |
High
Estimate |
Intermediate
Estimate |
Low
Estimate |
| 1. |
Average fine paid |
$50 |
$35 |
$20 |
| 2. |
Number of fines levied per year |
1,020,0000
(12% of fleet) |
510,000
(6% of fleet) |
85,000
(1% of fleet) |
| 3. |
Percentage of levied fines paid |
95% |
85% |
75% |
| 4. |
Total annual revenues from fines |
$48,450,000 |
$15,172,500 |
$1,275,000 |
Table 3. Program Revenues
VIII. An Inferior But Politically More Viable Penalty: Follow-Up Inspection
What is best is not necessarily appealing to those active in the political process.
Fines might not be politically viable. For that reason we propose another sort of penalty,
one which is clearly inferior.
Plan B would to require smog violators to report for some kind of scheduled follow-up
inspection. In thinking about follow-up inspection, instead of monetary fines, we should
recognize this requirement as serving merely as a different kind of penalty, and not as a
contribution to the process of correction. Plan A, pervasive surveillance with monetary
fines and enforcement pull-overs, specifies a penalty that generates the most efficient
process of corrections: free and private enterprise responding to the needs of consumers.
Plan B simply changes the penalty that causes the motorist to initiate this process. As a
penalty, it is less efficient because it is expensive and basically redundant, given the
pervasive deployment of remote sensors.
Follow-Up Inspection
If we must have follow-up inspection, what kind of inspection should it be? The E.P.A.
favors the highly expensive dynamometer test (IM-240), which puts the car on a treadmill
to simulate stop and go driving. The IM-240 reads CO, HC, and NOx emissions, and gets a
marginally better picture of a car's emissions than does the standard idle-test (BAR-90)
that is currently performed in California Smog Checks.(34)
BAR-90 does not read NOx. The IM-240 test, however, uses more expensive equipment and more
time per test. There has been much controversy over test equipment; the regulators seem to
have a penchant for high-tech approaches. In the debates over which is the best test to be
performed at anticipated inspections, the drama has been mainly between the IM-240 and
idle-tests like the BAR-90. Yet the test that is really the most appropriate is neither:
it is the remote sensor.
The best kind of anticipated inspection would work as follows: The cited motorist would
bring his car to a designated inspection cite. There an employee would get behind the
wheel and take the car on the official test route, which would probably be a test track
but, in uncongested areas, might even utilize public roads. On the test route there would
be three or four remote sensors. The car would pass by at different rates of acceleration
or on different grades. The sensors would test for CO, HC, and NOx. Since the cars would
be tested under carefully controlled conditions, the series of tests would give excellent
results. Some kind of overhead covering, like those at gas stations, would have to keep
rain off the pavement at the points where remote sensors measure emissions. Any marginal
or ambiguous cases could simply be put through the test a second time. The cars that
failed the test could be subjected to under-the-hood inspection.
This test program would do almost everything the IM-240 does. It would not make
readings as accurately as the IM-240, but it certainly would tell if the motorist had
failed to make his car run clean. The basic goal of the program is the transformation of
high emitters into low emitters. The differences that have been observed between the
readings of IM-240 and those of remote sensors -- never mind who gets to claim to be the
more accurate! -- are insignificant.
Yet the remote sensing alternative is less expensive. Since only the cited minority of
vehicles will be called to inspection, the stations would be few in number and located at
out-of-the-way places where land is cheap. The main efficiency gain would come from the
much higher throughput. For the remote-sensing test, only those cars that failed the track
test would need to be funnelled into inspection bays and attended to by technicians. Most
of the labor would be low-skilled program drivers whose only qualification would be to be
able to follow a two-minute driving pattern. Most any high-school senior could learn to
perform the job in a single day.
Another nice feature about using a remote-sensing track for follow-up inspection is
that, because the marginal cost is so low, the facility could even sell its service to the
public. Even motorists who have not been cited may wish to visit the track and pay $3 to
have their car tested. These motorists may wish to do so as a check against future smog
citations, as a way of checking repairs that private mechanics have made to their cars, or
simply for environmental concern.
Combining Follow-Up Inspection with Monetary Penalties
The best system, Plan A, would simply impose monetary penalties. A compromise to the
input-specification (i.e., command-and-control) modus operandi would be to penalize
by requiring follow-up inspection at remote-sensing tracks (Plan B). This Plan B might
have more political currency than Plan A, but there is a way of combining the two to get
us closer to the cost effectiveness of Plan A. Under a modified Plan B, follow-up
inspection could be presented to cited motorists as merely one option. This would make the
citation like a "fix-it" ticket, which gives the motorist the option of paying a
fine or providing proof of having rectified the problem. This is really a very neat
solution. Motorists for whom reporting to follow-up inspection is highly costly would opt
for paying in cash. This is better for motorists and better for the state since it gains
revenues. Motorists with easier access to follow-up inspection or with limited funds can
pay in kind. As we have said, follow-up inspection is significant only as a penalty, not
as a corrections device. Whether motorists pay in cash or in kind, it is the constant
threat of remote sensing on the roads that drives the corrections process.
At this juncture, an earnest reader might suggest that, if we had Plan A (just monetary
fines), the state could help by contracting for some voluntary, public-access remote
sensing tracks at which motorists could assure themselves of low emissions or of the
integrity of repairs made to their car. Such a service may indeed be valuable, but such a
reader has not learned the wisdom of Adam Smith: there is absolutely nothing to prevent
the profit motive from seeing to the provision of this input in the process of preventing
smog citations. Like an oil change or a car wash, the service becomes a normal private
good that is best supplied by decentralized private enterprise.
IX. A Program for the Near-Term
We have laid out a vision for the long-term, a vision that presupposes that remote
sensing will prove to be a fully viable technology. Our goal in this section is to propose
a near-term proposal for the South Coast region. This proposal is less idealistic, more
sensitive to political acceptability, and congruent with current legal guidelines.
Remote sensing is however still the major innovation. We propose that enough
remote-sensing capability be deployed to yield an average number of four valid readings
per year for the entire fleet. Using the assumptions from the Intermediate Column of Table
1, this would require 24 remote-sensing units.
We further propose that the following three features of the long-term program already
set out be included in the near-term plan: citation by mail, on-road pull-overs of problem
cases only, and repair subsidies for low-income motorists. The citations however would
call the car to follow-up inspection rather than impose a fine. The motorist would have to
bring his car either to a conventional Smog Check station, or, if the state were required
to build them, to centralized facilities.
Once remote sensing with pull-overs has been introduced, it makes little sense to
continue calling all cars to biennial inspection. The vast majority of cars would have
been subject to a remote-sensing test during the previous year. Hence we would want to
begin phasing out periodic inspection. We have already begun this process, in that recent
state legislation allows new car owners to buy out of their first Smog Check.(35) This process ought to be accelerated.
With the remote-sensing forces on the road, we should call only a minority, say 15
percent, of the vehicle population to anticipated inspection. There are several possible
criteria for selecting those 15 percent. One alternative would be random selection, so
nobody feels picked on. Alternatively, it would be more effective in terms of emission
reductions to pick on the model-year vehicles that are known to have the highest rates of
excessive emitting; naturally this will strike many as unfair. Third, we might wish to
pick on the cars that have not shown up on the remote-sensing monitors. Probably this
would be because the cars in question are driven infrequently, but possibly it would be
because their owners had figured out ways to evade remote-sensing sites.
If possible the state should resist all pressures to build centralized facilities. It
makes sense to wait and see what remote sensing can achieve before sinking further
investment in anticipated inspection or more expensive inspection equipment.
X. Remarks About Program Benefits
To evaluate the desirability of a program, we would like to get an idea of its cost-effectiveness,
which is defined as its total benefits divided by its total costs. We have already
described and estimated the total costs of a proposed remote sensing program. What about
its benefits? This question calls for some candid remarks.
How many drunk-driving accidents are prevented by the policing of drunk driving? In
other words, how large are the benefits from the policing of drunk driving? We could count
the number of drunk-drivers apprehended during the year, and figure that in each case that
a drunk was prevented from making his journey the risk of accident was correspondingly
reduced. This calculation would however greatly underestimate the benefits because it
neglects the deterrent effect of the policing of drunk driving. The policing
efforts remove not only the drunks who are apprehended but also the drunks who choose not
to drive because they fear being apprehended. Because of the severe penalties for drunk
driving, the deterrent effect of policing is probably far greater than the direct effect
by apprehension. A researcher could hope to estimate the deterrent effect by studying the
different rates of drunk driving accidents in regions where the offense is strictly
policed versus regions where it is not. Even then, estimates of benefits would be very
rough.
In the case of the remote sensing program, we cannot hope to estimate the deterrent
effect until a live program is in place. There is of course good reason to say that the
deterrent effect would be "large," but how large is anybody's guess. There
simply is no definitive scientific procedure for estimating what human response will be in
a setting that is entirely new.
We could hope to get a lower bound on program benefits by forecasting the
direct-apprehension benefits and assuming the deterrent effect to be zero. In the case of
remote sensing, direct-apprehension is itself highly effective, much more so than for the
policing of drunk driving. There are two reasons for this: (1) policing and surveillance
for remote sensing is very inexpensive and pervasive, and (2) once a car is fixed it stays
fixed for at least a while (whereas a man made sober can promptly make himself drunk
again).
What percent of high-emitters would be read by remote sensors an adequate number of
times each year to receive a warning or a citation? Probably the vast majority, since the
average number of readings would be four per car. Those that escaped detection would tend
to be those that traveled little and hence polluted less. And what percent of those
receiving a notice would consequently make their cars clean? Again, probably the vast
majority, since leaving one's car dirty would leave oneself in constant jeopary of
penalty. And how long would a repaired car stay repaired and low-emitting? We really don't
know the answer to this one, but we do know that repairs do vastly reduce the emissions of
high emitters,(36)and we know that if the car resumed high
emissions the system would probably detect it rather promptly.
It seems reasonable to claim that, even with no deterrent effect, the remote sensing
program would probably eliminate the lion's share of the emissions from the high emitters.
Since high and gross emitters generate about 88 percent of the on-road CO and HC, the
direct reduction from the program would be perhaps 30 percent of total on-road fleet
emissions. We will hazard to say that, once we include the deterrent effect of the
program, total on-road fleet emissions would be reduced by 50 percent. This claim is only
an educated guess. (When we say "on-road emissions," we mean only tailpipe
emissions generated after the cold-start mode in vehicle operation.) One could take our
"guestimate" and calculate the corresponding emission reductions (in tons) and
the corresponding cost-effectiveness of the program (in gram reduction per dollar), but we
feel that doing so would be giving a false air of confidence to the figure. Suffice it to
say that the benefits of the program would be huge, Angelinos would breath much better
air, and the cost-effectiveness of the program would be excellent -- much better than any
other program currently in operation or on the drawing-board.
XI. Beyond Inspection & Maintenance: The Remote Sensing Challenge to the Full
Range of Auto Emissions Command-and-Control
This paper has focused on Inspection & Maintenance programs. We have argued that
with remote sensing in place, periodic inspection is likely to become largely redundant.
In that event it should be discontinued. But I & M is just one sort of program aimed
at reducing fleet emissions. Other programs include carpooling mandates, emissions
requirements on new cars, zero-emission vehicle quotas, and alternative fuel mandates.
Our reasoning applies to these other programs as well. As an air quality measure,
carpooling mandates, like Los Angeles's Regulation XV or the EPA's ECO plan, are gravely
ill-considered. They are extreme examples of input oriented strategies that fail to go to
the heart of the problem, yet impose enormous costs. Recent literature shows convincingly
that these programs rate terribly in cost-effectiveness.(37)
What about new-car emission standards imposed on auto makers? Putting aside the issue
of global warming, we must remember that smog is a problem only in certain regions. EPA
emission requirements however mean that many car buyers have to pay more for a new car
even though they are not living in an area with a smog problem. If possible, it ought to
be addressed in regional, decentralized programs. Remote sensing promises to do that.
Again, the success of remote sensing should lead us to reconsider basic policy.
With a functioning remote sensing program, regions can police for low emissions and
thereby induce the automakers and the energy industry to serve the new demand for
clean cars. Motorists will demand clean cars to pass muster with the remote sensors. Again
it is a matter of seeing the problem in the manner of Adam Smith. Let local regions police
emission outputs as they deem necessary, and leave the inputs free to find the most
efficient methods of meeting those output requirements. Those methods might include
alternative fuels and certainly will include low-emitting vehicles, but in this system the
methods are selected by the competitive forces of the market, which does better than
government agencies.
XII. Conclusion
Remote sensing is not a fully proven technology. But the indications look promising and
we should look ahead at the full implications of a viable remote sensing technology.
If remote sensing lives up to its promises, the best feasible way to control auto
emissions is a remote sensing program that punishes persistent high emitters with monetary
fines. The program is simply the policing of the common property that is the airshed.
Protecting the common property with remote sensors should be understood as analogous to
the owners of a bank protecting their common property by setting up video cameras in the
bank lobby to watch for thievery. Like the bank video cameras, remote sensing polices the
outputs -- what we really care about -- rather than plans the inputs. When outputs can be
effectively policed by government, it is best to leave the inputs free to dance their own
steps within the market framework to meet the output demands set by government.
This market-based approach stands in sharp contrast to those who promote elaborate and
costly schemes for reducing auto emissions. Smog Check, mandatory carpooling, emission
requirements on new cars, alternative fuel schemes, and the like are all attempts to reach
back into the production process and specify inputs. Adam Smith described the fallacy of
this modus operandi:
The man of system ... is often so enamored with the supposed beauty of his own ideal
plan of government that he cannot suffer the smallest deviation from any part of it. He
goes on to establish it completely and in all its parts, without any regard either to the
great interests or to the strong prejudices which may oppose it; he seems to imagine that
he can arrange the different members of a great society with as much ease as the hand
arranges the different pieces upon a chess board; he does not consider that ... , in the
great chess board of human society, every single piece has a principle of motion of its
own altogether different from that which the legislature might choose to impress upon it.(38)
If we continue to promote programs that neglect our new-found hope of treating directly
the output in question, and instead command and control the behavior of others to serve a
favorite input scheme, then we fail to take into proper consideration the teachings of
Adam Smith. But if instead the Smithian principles are applied to auto emissions, society
will be less bureaucratic and the air will be cleaner.
Endnotes
1. Douglas R. Lawson, "Costs of "M" in I?M --
Reflections on Inspection/Maintenance Programs," Journal of the Air & Waste
Management Association, 45, June 1995, 465-76.
2. Douglas R. Lawson, ""Passing the Test" -- Human
Behavior and California's Smog Check Program," Journal of the Air & Waste
Management Association, vol. 43, (Dec., 1993);" Amihai Glazer, Daniel B. Klein,
Charles Lave, "Clean on Paper, Dirty on the Road: Troubles With California's Smog
Check," Journal of Tranport Economics and Policy (forthcoming, 1995).
3. Wealth of Nations, p. 681.
4. Adam Smith, The Wealth of Nations, Edwin Cannan ed., (New
York: Modern Library, 1937 [1776]), p. 423.
5. California I/M Review Committee, "Evaluation of the
California Smog Check Program and Recommendations for Program Improvements," Fourth
Report, February 16, 1993, p. 10; U. S. Environmental Protection Agency, "EPA
Responses to Questions," Prepared for the Joint Public Meeting of the California I/M
Review Committee, California Air Resources Board, and Bureau of Automotive Repair, July
29, 1992.
6. Lawson, "Costs of "M"," Huel C. Scherrer and
David B. Kittelson, "I/M Effectiveness as Directly Measured by Ambient CO Data,"
SAE Technical Paper Series 940302, 1994.
7. See Glazer, Klein, and Lave, "Clean on Paper."
8. Douglas R. Lawson et al, "Emissions from In-use Motor
Vehicles in Los Angeles: A Pilot Study of Remote Sensing and the Inspection and
Maintenance Program," Journal of Air & Waste Management Association, 40,
(1990); Lowell L. Ashbaugh et al, "On-Road Remote Sensing of Carbon Monoxide
and Hydrocarbon Emissions During Several Vehicle Operating Conditions," in PM10
Standards and Nontraditional Particulate Source Controls, Vol. II, J.C. Chow and D.M.
Ono, eds., (Pittsburgh, PA: Air & Waste Management Association, 1992), pp. 885-898.
9. Lawson et al (1990).
10. E.g., Ashbaugh et al 1992.
11. We should further recognize that, of the cars in the set
defined as "clean," it will be the relatively dirty ones that tend to fail. They
may not be officially guilty, but they won't be entirely innocent.
12. It will be the relatively less-guilty cars that tend to sneak
by.
13. See the "Conclusions" page of "Overview of RFF
Analysis of Remote Sensing," April 1993.
14. NOx sensing will most faithfully distinguish dirty cars from
clean when the cars are under load; hence the Nox sensor will work best when mobilized on
uphill grades.
15. Robert D. Stephens et al., "The Michigan Remote
Sensing Study: A Preliminary Review of Repair Induced Emissions Reductions," ms.
1993.
16. E.P.A. Guidelines, Federal Register, v. 57, no. 215,
November 5, 1992.
17. See Douglas R. Lawson, letter to Richard J. Sommerville,
November 6, 1992.
18. A.W.. Gertler et al., "Apportionment of VOC Tailpipe vs.
Running and Resting Losses in Tuscarora and Fort McHenry Tunnels," presented at the
EPA/A&WMA International Conference on the Emission Inventory: Perception and Reality,
Pasadena, California, October, 1993.
19. This ratio is based on the Intermediate estimate of the
remote-sensing cost per test (line 32 of Table 1) and the $42 dollar estimate for the cost
of a Smog Check (see below). The cost per remote sensing test used here excludes the costs
of citation, pull-overs, and repair subsidies.
20. That centralized inspection has a higher total social cost per
test than decentralized Smog Check is disputed by the California I/M Review Committee,
Fourth Report (1993), and some E.P.A. officials (see Eugene J. Tierney, "I/M Network
Type: Effects on Emission Reductions, Costs, and Convenience," EPA Document
EPA-AA-TSS-IM-I/M-89-2, January 1991, pp. 45, 46). For a treatment that counters the claim
as made by the I/M Review Committee, see Amihai Glazer, Daniel B. Klein, and Charles Lave,
"Clean for a Day: Troubles With California's Smog Check," University of
California Transportation Center Working Paper No. 163, August 1993, pp. 21-25.
21. See Charles Lave, "Speeding, Coordination, and the 55
M.P.H Limit," American Economic Review, 75(5) , December 1985, 1159-1164.
22. Sierra Research hired a professional race-car driver to show
that emissions from a clean car could be made to look dirty to remote sensing. This
demonstration scarcely poses a challenge to the remote sensing agenda, because
remote-sensing sites would be chosen for appropriate conditions, and because the program
measures speed and accleration of the car. See Thomas C. Austin, Francis J. Di Genova, and
Thomas R. Carlson, "Analysis of the Effectiveness and Cost-Effectiveness of Remote
Sensing Devices," report prepared by Sierra Research for the U.S. Environmental
Protection Agency, May 18, 1994.
23. Janice, V. Alcee, Jonathan C. Black, Robyne R. Law, Peter M.
Wendzel, and Cheryl W. Lynn, "Legal Issues Concerning the Use of Photo-Radar," Transportation
Research Record, 1375, 1992, pp. 17-25.
24. Cheryl W. Lynn, Wayne S. Ferguson, and Nicholas J. Garber,
"Feasiblity of Photo-Radar for Traffic Speed Enforcement in Virginia," Transportation
Research Record, no. 1375, 1992, pp. 11-16.
25. California Health and Safety Code, Section 44081,
enacted March 30, 1994.
26. California Health and Safety Code, see Sections
44081-44095, enacted March 30, 1994.
27. Gary A. Bishop, Donald H. Stedman, James E. Peterson, Theresa
J. Hosick, and Paul L. Guenther, "A Cost-Effectiveness Study of Carbon Monoxide
Emissions Reduction Utilizing Remote Sensing," Journal of the Air & Waste
Management Association, 43, 1993, 978-988.
28. California Health and Safety Code, Sections 44090-44095,
enacted March 30, 1994.
29. This figure is based on the count of registered vehicles of 7.9
million (I/M Review Committee, p. 74), and then adjusting for unregistered vehicles (which
account for about seven percent of the fleet; p. 124).
30. During a four-day remote-sensing study in Baton Rouge, 24,000
readings were taken by two remote sensors. Assuming eight-hour days, that translates into
375 readings per hour, or one reading every 9.6 seconds. See Babak Naghavi and Peter R.
Stopher, "Remote Sensing, Means, Medians, and Extreme Values: Some Implications for
Reducing Automobile Emissions," Transportation Research Board pre-print, 1993, p. 8.
31. The Motorist's Time Cost is based on an estimate of 83.25
minutes of the motorist's time devoted to the chore of getting the car through the test,
at a cost rate of $10.00 per hour. The rate of $10.00 per hour is most likely an
under-estimate since dealing with Smog Check is an irregular and anxiety-filled task.
32. There are some minor factors to consider in this assumption. We
are supposing that there are 8.5 million Smog Checks every biennium, even though there are
only 7.9 million registered vehicles at any one time. However, many of the unregistered
vehicles have merely lapsed in their registration a couple of months. And cars must pass
through Smog Check not only on a scheduled biennial basis but also whenever they change
ownership. On the other hand, a new law allows new car owners to buy out of their first
Smog Check.
33. Lawson, "The Costs of "M"."
34. Lawson, "Costs of "M"."
35. California Health and Safety Code, Sections 44090-44095,
enacted March 30, 1994.
36. Lawson, "Costs of "M"."
37. Kenneth C. Orski, "Evaluation of Employee Trip Reduction
Programs Based on California's Experience with Rule 1501, An Informal Report of the
Institute of Transportation Engineers," Resource Papers for the 1994 ITE
International Conference, January 1994.
38. Adam Smith, The Theory of Moral Sentiments [6th ed.,
1790], Part IV, Sect. II, Ch. II.
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