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Health Effects of Air Pollution C. Arden Pope III Mary Lou Fulton Professor of Economics National Association of Clean Air Agencies Spring Membership Meetings St. Louis, Missouri May 5-8, 2013

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Health Effects of Air Pollution

C. Arden Pope III

Mary Lou Fulton Professor of Economics

National Association of Clean Air Agencies Spring Membership Meetings

St. Louis, Missouri May 5-8, 2013

The Global Burden of Disease 2010

Breathing contaminates contributes to global burden of disease (GBD)

Number of attributable

deaths

Disability adjusted life-years (DALYs)

Tobacco Smoking 5.7 mil. 5.7% Second Hand Smoke 0.6 mil. 0.6% Household air pollution from solid fuels 3.5 mil. 4.5% Ambient PM air pollution 3.2 mil. 3.1% Ambient Ozone 0.2 mil. 0.1%

Early “Killer smog” episodes demonstrated that air pollution at extreme levels can contribute to respiratory and cardiovascular disease and death

Dec. 5-9, 1952: London--1000’s of excess deaths

Dec. 1-5, 1930: Meuse Valley, Belgium 60 deaths (10x expected)

Oct. 27-31, 1948: Donora, PA 20 deaths, ½ the town’s population fell ill

Respiratory and cardiovascular disease and death

Presenter
Presentation Notes
As noted in the short video that we just watched, severe air pollution episodes in the early and mid 1900s in Meuse Valley Belgium, Donora PA, and London, England demonstrated that extreme levels of air pollution, even for just a few days, can contribute substantially to cardiovascular and respiratory disease and death. These extreme episodes were often referred to as “killer smog episodes.”

London Fog Episode, Dec. 1952

From: Brimblecombe P. The Big Smoke, Methu

Utah Valley, 1980s • Winter inversions trap local pollution • Natural test chamber

• Local Steel mill contributed ~50% PM2.5 • Shut down July 1986-August 1987 • Natural Experiment

Presenter
Presentation Notes
For example, in the 1980s I moved to the Provo/Orem area of Utah. This metro area is situated in a mountain valley. Temperature inversions often trap air pollution near the valley floor which serves as a natural test chamber for pollution exposure. Furthermore, in the 1980s the largest local source of air pollution, the Geneva Steel Mill, shut down for 13-months and then reopened, providing a novel natural experiment.

Large difference in air quality when inversions trap air pollution in valley

Utah Valley: Clean day

Utah Valley: Dirty day (PM10 = 220 µg/m3)

Presenter
Presentation Notes
On days without an inversion, like the one in this photo, the air in Utah Valley is very clean. However, as illustrated in this photo on the right, when inversions trap local air pollution, air quality can get very bad—but not as bad as the killer smog episodes of Meuse Valley, Donora, or London. If you look closely, you can see “thermal bubbles” on the top of the inversion layer above smoke stacks of the steel mill.

Sources: Pope. Am J Pub Health.1989; Pope. Arch Environ Health. 1991

When the steel mill was open, total children’s hospital admissions for respiratory conditions approx. doubled.

µ g/m

3 /Num

bers

of A

dmis

sion

s

0

50

100

150

200

250

300

PM10 concentrations Children's respiratory hospital admissions

Mean PM10

levels forMonthsIncluded

Mean HighPM10

levels forMonthsIncluded

PneumoniaandPleurisy

Bronchitisand Asthma

Total

Mill Open

Mill Closed

Presenter
Presentation Notes
The intermittent operation of the steel mill provided a natural experiment, where the primary source of pollution in our natural exposure chamber was shut off for 13 months and then turned back on. We used this opportunity to study pollution effects on children’s respiratory hospitalizations. The operation of the mill clearly contributed to elevated levels of air pollution and pediatric hospital admissions for bronchitis, asthma, and total respiratory conditions were approximately doubled.

Health studies take advantage of highly variable air pollution levels that result from inversions.

98 99 00 01 02 03 04 05 06 07 08 09 100

10

20

30

40

50

60

70

80

90

100

Utah Valley (Lindon Monitor)

Salt Lake Valley (Hawthorn Monitor)

g/

m3

Presenter
Presentation Notes
This plot illustrates the concentrations of fine particulate matter air pollution in Utah valley over the last 12 years. There is clearly a lot of exposure variability, largely a result of the inversion lid being put on and then taken off of this large natural exposure chamber. We have taken advantage of this exposure variability in various health studies.

Daily changes in air pollution daily death counts

Time (days)

# of

Dea

ths

Utah Valley

Presenter
Presentation Notes
Illustrated here are daily death counts plotted over a 5-year period in Utah Valley. In the blue plot on the right, these counts are sorted and mean death counts are plotted over quartiles of air pollution. We can easily observe that increased air pollution is associated with increased daily death counts. More sophisticated statistical analyses controlling for time-trends, seasonality, temperature, etc. also demonstrate similar associations.

% in

crea

se in

mor

talit

y

0

1

2

3

Estimates frommeta analysis

Estimates from Multicity studies

29 c

ities

(Lev

y et

al.

2000

)

GA

M-b

ased

stu

dies

(Stie

b et

al.

2002

, 200

3)

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erso

n et

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2005

)

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.S. c

ities

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mm

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2003

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ities

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ities

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ver

(Sch

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004)

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MA

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, 20-

100

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. citi

es(D

omin

ici e

t al.

2003

)A

PH

EA

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opea

n ci

ties

(Kat

souy

anni

et a

l. 20

03)

9 Fr

ench

citi

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e Te

rtre

et a

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02)

13 J

apan

ese

citie

s(O

mor

i et a

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Non

GA

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ased

stu

dies

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, 200

3)

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licat

ion

bias

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d (A

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orea

n ci

ties

(Lee

et a

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00)

20

g/m

3 PM

10

20

g/m

3 PM

10

20

g/m

3 PM

10

20

g/m

3 PM

10

20

g/m

3 PM

10

10

g/m

3 PM

2.5

20

g/m

3 PM

10

10

g/m

3 PM

2.5

10

g/m

3 PM

2.5

20

g/m

3 PM

10

20

g/m

3 PM

10

20

g/m

3 PM

10

20

g/m

3 BS

40

g/m

3 TS

P

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M

Rev

iew

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stud

ies

(HE

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ort,

Tabl

e TS

2)20

g/

m3 P

M10

20

g/m

3 PM

10

20

g/m

3 PM

10

Estimates frommeta analysisfrom Asian Lit

PA

PA

Stu

dies

--4

stud

ies

(HE

I Rep

ort,

Tabl

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2)

Asi

an L

it. in

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18 L

atin

Am

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dies

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AH

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005)

20

g/m

3 PM

10

10 µg/m3 PM2.5 or 20 µg/m3 PM10 → 0.4% to 1.5% increase in relative risk of mortality—Small but remarkably consistent across meta-analyses and multi-city studies.

Daily time-series studies ***of over 200 cities***

Methods: Case-crossover study of acute

ischemic coronary events (heart attacks and unstable angina) in 12,865 well-defined and followed up cardiac patients who lived on Utah’s Wasatch Front

…and who underwent coronary angiography

Jeffrey Anderson

2006;114:2443-48

y t

0

1

t

Binary Data, classic time-series

y t

0

1

t

Binary Data, case-crossover

Conditional Logistic Reg.

Each subject serves as his/her own control. Control for subject-specific effects, day of week, season, time-trends, etc.—by matching

Prob (Yt = 1) 1 - Prob (Yt = 1)

α1 + α2 + α3 + . . . + α12,865 + β(w0Pt + w1Pt-1 + w2Pt-2 + . . .) Control by matching for: All cross-subject differences (in this case, 12,865 subject-level fixed effects), Season and/or month of year, Time trends, Day of week

( ) = ln

Conditional logistic regression:

Modeling controversies: How to select control or referent periods. Time stratified referent selection approach (avoids bias that can occur due to time trends in exposure) (Holly Janes, Lianne Sheppard, Thomas Lumley Statistics in Medicine and Epidemiology 2005)

%

0.00

5.00

10.00

15.00

Figure 1. Percent increase in risk (and 95% CI) of acute coronary events associated with 10 g/m3 of PM2.5, or PM10 for different lag structures.

Con

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ent d

ay

Con

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ovin

g av

.

PM2.5

PM10

%

-10.00

-5.00

0.00

5.00

10.00

15.00

20.00

Figure 2. Percent increase in risk (and 95% CI) of acute coronary events associated with 10 µg/m3 of PM2.5, stratified by various characteristics.

All a

cute

cor

onar

y

Subs

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nt M

I

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=65

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Short-term PM exposures contributed to acute coronary events, especially among patients with underlying coronary artery disease.

Dale Renlund

Abdallah Kfoury

Benjamin Horne

Short-term changes in air pollution exposure are associated with:

• Daily death counts (respiratory and cardiovascular)

• Hospitalizations

• Lung function

• Symptoms of respiratory illness

• School absences

• Ischemic heart disease

• Etc.

Presenter
Presentation Notes
The selected studies that I have just shown, are illustrative of a large and growing body of published literature that has explored the effects of short-term air pollution exposure on respiratory and cardiovascular health. Small but remarkably consistent associations between air pollution and deaths, hospitalizations, lung function, symptoms of respiratory illness, school absences, ischemic heart disease events, and related health outcomes have been observed in 100s of studies.

Longer-term air pollution exposure has been linked to even substantially larger health effects.

Presenter
Presentation Notes
Research has also indicated that substantially larger health effects occur with longer-term air pollution exposure.

Median PM2.5 for aprox. 1980

8 10 12 14 16 18 20 22 24 26 28 30 32 34

Adj

uste

d M

orta

lity

for 1

980

(Dea

ths/

Yr/1

00,0

00)

600

650

700

750

800

850

900

950

1000

Age-, sex-, and race- adjusted population-based mortality rates in U.S. cities for 1980 plotted over various indices of particulate air pollution (From Pope 2000).

An Association Between Air Pollution and Mortality in Six U.S. Cities

1993

Dockery DW, Pope CA III, Xu X, Spengler JD, Ware JH, Fay ME, Ferris BG Jr, Speizer FE.

Methods: 14-16 yr prospective follow-up of 8,111adults living in six U.S. cities.

Monitoring of TSP PM10, PM2.5, SO4, H+, SO2, NO2, O3 .

Data analyzed using survival analysis, including Cox Proportional Hazards Models.

Controlled for individual differences in: age, sex, smoking, BMI, education, occupational exposure.

Average Polluted cities

Highly Polluted cities

Clean cities

Adjusted risk ratios (and 95% CIs) for cigarette smoking and PM2.5

Cause of Death

Current Smoker, 25 Pack years

Most vs. Least Polluted City

All 2.00 (1.51-2.65)

1.26 (1.08-1.47)

Lung Cancer

8.00 (2.97-21.6)

1.37 (0.81-2.31)

Cardio-pulmonary

2.30 (1.56-3.41)

1.37 (1.11-1.68)

All other

1.46 (0.89-2.39)

1.01 (0.79-1.30)

25 July 1997

Dan Krewski Rick Burnett Mark Goldberg and 28 others

Legal uncertainty largely resolved with 2001 unanimous ruling by the U.S. Supreme Court.

Perc

ent i

ncre

ase

in m

orta

lily

risk

(95%

CI)

-10

0

10

20

30

40

50

60

70

80

90

100

110

120180

190All Cause CPD CVD IHD

U.S. Medicare Cohort studies: •Eftim et al. Epidemiology 2008 •Zegar et al. EHP 2008 Cohorts of Medicare participants cities of the 6-cities and ACS study, plus all U.S.

U.S. Medicare Cohort Studies

Presenter
Presentation Notes
In the meantime, in addition to the Harvard Six-Cities and ACS studies there have also been several other important prospective cohort studies of air pollution that have demonstrated somewhat consistent air pollution related mortality effects across studies.

Modern air pollution science has resulted in new and tighter standards in the U.S. for air pollution—especially PM2.5

Contemporary Science

Public Policy Results 1997: New PM2.5 standards (24-hr 65 µg/m3, annual 15 µg/m3) 2006: PM2.5 24-hr standard revised (35 µg/m3) 2012: PM2.5 annual standard revised (12 µg/m3)

1990 - 2013: Continued general improvements in air quality

1989+ Time-series studies 1993+ Prospective cohort mortality studies 1997+ 100’s of other including tox., clinical, etc.

Presenter
Presentation Notes
So, the studies of short-term and long-term exposure to air pollution that I have very briefly discussed, and many, many others that I do not have time to discuss, have led to tightening of U.S. national ambient air quality standards (especially PM2.5, but also ozone).

So, an obvious question—

Has reducing air pollution resulted in substantial and measurable improvements in human health?

Presenter
Presentation Notes
So, this has led us to an obvious question: has reducing air pollution resulted in substantial and measurable improvements in health?

- Matching PM2.5 data for 1979-1983 and 1999-2000 in 51 Metro Areas - Life Expectancy data for 1978-1982 and 1997-2001 in 211 counties in 51 Metro areas - Evaluate changes in Life Expectancy with changes in PM2.5 for the 2-decade period of approximately 1980-2000.

Fine-Particulate Air Pollution and Life Expectancy in the United States

C. Arden Pope, III, Ph.D., Majid Ezzati, Ph.D., and Douglas W. Dockery, Sc.D.

January 22, 2009

Do cities with bigger improvements in air quality have bigger improvements in health, measured by life expectancy?

Presenter
Presentation Notes
Recently Majid Ezzati, Doug Dockery, and I published a paper that used matching air pollution and life expectancy data from across the U.S. for the beginning and ending of the two-decade period of approximately 1980-2000. In this study, we treat this nation-wide effort as a natural experiment and ask the question: did cities with bigger improvements in air quality have bigger improvements in health, measured by life expectancy?

Reduction in PM2.5, 1980-2000

0 2 4 6 8 10 12 14

0.0

Reduction in PM2.5, 1980-2000

0 2 4 6 8 10 12 14

Res

idua

l cha

nges

in L

E c

ontro

lling

for c

ovar

iate

s

-2.5

-2.0

-1.5

-1.0

-0.5

0.0

0.5

1.0

1.5

2.0

2.5

22

47 49

45 4

10 17

19

46

48 6 43 50

24

21

36 8

34

20 7

25

1

11

12

14

44 51

27 3 28

30

32 13

18

26

9

29

23

37

38 40

15

33

5

2

35 31

16 39

41 42

B

YES. On average, the greater the reduction in air pollution, the greater the increase in life expectancy.

Presenter
Presentation Notes
The answer was basically yes. On average, the greater the reduction in air pollution, the greater the increase in life expectancy. Based on various statistical models that controlled for changes in socioeconomic, demographic, and smoking variables, we estimated that a 10 µg/m3 reduction in fine particulate matter air pollution was associated with an increase in life expectancy equal to nearly a full year—similar to derived estimates using life-table analysis and excess risks from the prospective cohort studies.

Francesca Dominici

Presenter
Presentation Notes
More recently we published a similar analysis of 545 U.S. counties from 2000-2007 and also observed continued differential improvements in life expectancy associated with differential improvements in air pollution.

Cardiovascular disease as part of chronic and acute inflammatory processes.

By the early 2000s, there was increasingly compelling evidence that inflammation is a major accomplice with LDL cholesterol in the initiation and progression of atherosclerosis.

Furthermore, inflammation contributes to acute thrombotic complications of atherosclerosis, increasing the risk of making atherosclerotic plaques more vulnerable to rupture, clotting, and precipitating acute cardiovascular or cerebrovascular events (MI or ischemic stroke).

Interactive effects of hs-CRP (marker of inflammation) and blood lipids. Ridker PM. 2001;103:1813-1818.

Paul Ridker

Fine Particulate exposure

↓ Pulmonary and

systemic inflammation

and oxidative stress

(along with blood lipids) ↓

Progression and destabilization of

atherosclerotic plaques

Experimental evidence of biological effects of PM extracted from filters (Ghio, Costa, Devlin, Kennedy, Frampton, Dye, et al. 1998-2004)

• Acute airway injury and inflammation in rats and humans • In vitro oxidative stress and release of proinflammatory mediators by cultured respiratory epithelial cells • Differential toxicities of PM when the mill was operating versus when it was not (metals content and mixtures?)

PM exposure ↓

Pulmonary inflammation ↓

Systemic inflammatory responses (including release of inflammatory

mediators, bone marrow stimulation and release of leukocytes and platelets)

↓ Progression and destabilization of

atherosclerotic plaques

In rabbits naturally prone to develop atherosclerosis they found that:

PM exposure ↓↓

Accelerated progression of atherosclerotic plaques with greater vulnerability to plaque rupture

A series of studies by van Eeden, Hogg, Suwa et al. (1997-2002) suggest:

Stephan van Eeden

James Hogg

Sun et al. (JAMA 2005)

Representative Photomicrographs of Aortic Arch Sections Normal Chow High-Fat Chow

Clean Filtered Air

Clean Filtered Air

PM Polluted Air PM Polluted Air

apoE-/- mouse Sun QH Lippmann M

Blood • Altered rheology

• Increased coagulability • Translocated particles • Peripheral thrombosis

• Reduced oxygen saturation

Systemic Inflammation Oxidative Stress

• Increased CRP • Proinflammatory mediators

• Leukocyte & platelet activation

PM Inhalation

Brain

• Increased cerebrovascular ischemia

Heart

• Altered cardiac autonomic function

• Increased dysrhythmic susceptibility

• Altered cardiac repolarization

•Increased myocardial Ischemia

•Heart failure exacerbation

Vasculature • Atherosclerosis,

accelerated progression of and destabilization of plaques • Endothelial dysfunction

• Vasoconstriction and Hypertension

Lungs • Inflammation

• Oxidative stress • Accelerated progression

and exacerbation of COPD • Increased respiratory symptoms

• Effected pulmonary reflexes • Reduced lung function

Pope and Dockery, JAWMA 2006.

Brook, Rajagopalan, Pope, et al. 2011 AHA Scientific Statement, PM and CVD

Biggest criticisms regarding the overall results: 1. The effects aren’t big enough to be compelling (need RR > 2.0)

2. The effects are too large to be biologically plausible based on

an extrapolation of smoking literature.

0 60 120 180 240

Adju

sted

Rel

ativ

e R

isk

1.0

1.5

2.0

estimated daily dose of PM2.5, mg

18-22cigs/day

Pack-a-day smoker: RR ~ 2 Daily inhaled dose ~ 240 mg

Live in polluted city or With smoking spouse RR ~ 1.15 – 1.35 Daily inhaled dose ~ 0.2–1.0 mg

0 60 120 180 240 300

Adju

sted

Rel

ativ

e R

isk

1.0

1.5

2.0

2.5

<3cigs/day

estimated daily dose of PM2.5, mg

23+cigs/day

8-12cigs/day

13-17cigs/day

18-22cigs/day

4-7cigs/day

Pope, Burnett, Krewski, et al. 2009.

Figure 1. Adjusted relative risks (and 95% CIs) of IHD (light gray), CVD (dark gray), and CPD (black) mortality plotted over estimated daily dose of PM2.5 from different increments of current cigarette smoking. Diamonds represent comparable mortality risk estimates for PM2.5 from air pollution. Stars represent comparable pooled relative risk estimates associated with SHS exposure from the 2006 Surgeon General’s report and from the INTERHEART study.

0.1 1.0 10.0 100.0

Adju

sted

Rel

ativ

e R

isk

1.0

1.5

2.0

2.5

estimated daily dose of PM2.5, mg

Exposure from

Second hand cigarette smoke: Stars, from 2006 Surgeon General Report and INTERHEART studyAnd air pollution: Hex, from Womens Health Initiative cohort Diamonds, from ACS cohort Triangles, Harvard Six Cities cohort

Exposure from smoking<3, 4-7, 8-12, 13-17, 18-22, and 23+

cigarettes/day

Figure 2. Adjusted relative risks (and 95% CIs) of ischemic heart disease (light gray), cardiovascular (dark gray), and cardiopulmonary (black) mortality plotted over baseline estimated daily dose (using a log scale) of PM2.5 from current cigarette smoking (relative to never smokers), SHS, and air pollution.

0 60 120 180 240 300 360 420 480 540

Adju

sted

Rel

ativ

e R

isk

1.0

1.5

2.0

2.5

3.0

(<3)

Estimated daily dose of PM2.5, mg (cigarettes smoked per day)

(4-7)

Adju

sted

Rel

ativ

e R

isk

5

10

15

20

25

30

35

40

(8-12) (13-17) (18-22) (23-27) (28-32) (33-37) (38-42) (>42)

Lung Cancer

Ischemic heart (light gray)Cardiovascular (dark gray)Cardiopulmonary (black)

0.0 0.5 1.01.00

1.25

1.50

0.0 0.5 1.01.00

1.25

1.50

Ambient Concentrations (g/m3)

$

C* CH

Marginal Costsof Abatement

Marginal HealthCosts of Pollution

CNC

Presenter
Presentation Notes
So one stylized way to illustrate the complexities of the public policy issue is in the above figure. Several important stylized results from the literature are illustrated in this figure:

Ambient Concentrations (g/m3)

$

C* CH

Marginal Costsof Abatement

Marginal HealthCosts of Pollution

CNC

Presenter
Presentation Notes
First, marginal costs of pollution are very high, but because of the supra-linear nature of the exposure-response function, the marginal or incremental health costs of pollution may actually decline at higher levels. Second, the level of pollution that is completely safe is extremely low or essentially zero.

Ambient Concentrations (g/m3)

$

C* CH

Marginal Costsof Abatement

Marginal HealthCosts of Pollution

CNC

Pollution Abatement

Presenter
Presentation Notes
Third, marginal costs of abatement are low initially but rise as it becomes increasingly difficult and costly to abate more and more pollution.

Ambient Concentrations (g/m3)

$

C* CH

Marginal Costsof Abatement

Marginal HealthCosts of Pollution

CNC

Presenter
Presentation Notes
Fourth, given the high marginal costs of pollution, the economically efficient level of pollution (C*) is relatively low and in fact is a challenging target given that these costs are mostly externality costs but the costs of abatement are more directly faced or internalized by polluters.

Ambient Concentrations (g/m3)

$

C* CH

Marginal Costsof Abatement

Marginal HealthCosts of Pollution

CNC

Presenter
Presentation Notes
Fifth, efforts to date to clean up air pollution in the U.S. seem to have had very large health benefits--much larger than the costs. The cumulative benefits of abatement far exceed the cumulative costs.

Ambient Concentrations (g/m3)

$

C* CH

Marginal Costsof Abatement

Marginal HealthCosts of Pollution

CNC

Presenter
Presentation Notes
Sixth, there is likely room for even additional cost effective improvements but the marginal or incremental costs of pollution abatement will likely increase substantially.