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El costo del status quo: Valoración económica del costo social de la contaminación atmosférica en ciudades latinoamericanas. Luis A. Cifuentes Center for the Environment and Industrial Engineering Dept School of Engineering P. Universidad Católica de Chile. - PowerPoint PPT Presentation
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1
El costo del status quo:Valoración económica del
costo social de la contaminación atmosférica en
ciudades latinoamericanas
Luis A. Cifuentes
Center for the Environment and Industrial Engineering DeptSchool of Engineering
P. Universidad Católica de Chile
Sesión 3: Política Fiscal y Medio Ambiente
CEPAL, Santiago de Chile, 31 de enero de 2007
Contenido
1. Introducción a la valoración económica de los impactos de la contaminación atmosférica 1. Método de la función de daño
2. Requerimientos de Información - Aplicabilidad en países en desarrollo
2. Valoración económica del impacto por contaminación aérea en ciudades latinoamericanas. 1. Estimación de la perdida económica y de bienestar resultante de
los actuales niveles de contaminación en 39 ciudades la Latinoamérica
3. Costos en salud evitados en Santiago de Chile debido al proceso de descontaminación iniciado en 1990. Costos económicos evitados por el Plan de Descontaminación Comparación con Costo de las medidas de reducción de
emisiones
2
Introducción a la valoración económica de los impactos de la contaminación atmosférica
1. Fundamentos
2. Método de la función de daño
3. Requerimientos de Información
4
5
Efectos de la contaminación atmosférica
• Efectos en la salud de la población
• Efectos en vegetacion y cultivos
• Efectos en materiales
• Efectos estéticos (visibilidad)
6
Efectos en Materiales
German Ornamental Figure, 1908 (left) and 1968 (right), Herten Castle, Germany. Source: Westfalisches Amt Fur denkmalpflege, Munster)
7
Efectos en vegetación
Daño a bosques en Alemania
Baja de productivid
ad de cosechas
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Visibilidad: Ciudad de México
Efectos en Salud…
9
La primera pregunta que nos debemos hacer es:
¿puede la contaminación atmosférica tener un impacto negativo en la salud de la población?
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Londres, Invierno 1953Mortalidad Semanal vs. Concentraciones de SO2
Fuente: Bell, M. L. and D. L. Davis (2001). “Reassessment of the lethal London fog of 1952: novel indicators of acute and chronic consequences of acute exposure to air pollution.” Environ Health Perspect 109 Suppl 3: 389-94.
13
London Killer Smog
14
SO4 and mortality rates in USA in 1980
Source: Ozkaynak, H. and G. D. Thurston (1987). “Associations Between 1980 U.S. Mortality Rates and Alternative Measures of Airborne Particle Concentration.” Risk Analysis 7(4): 449-461.
SO2 NAAQS Annual Avg: 80 ug/m3
15
Long term study: Pope et al, 2002• DESIGN, SETTING, AND PARTICIPANTS
Vital status and cause of death data collected by the American Cancer Society as part of the Cancer Prevention II study, for 1.2 million adults in 1982.
Participants completed a questionnaire detailing individual risk factor data (age, sex, race, weight, height, smoking history, education, marital status, diet, alcohol consumption, and occupational exposures).
The risk factor data for approximately 500 000 adults were linked with air pollution data for metropolitan areas throughout the United States and combined with vital status and cause of death data through December 31, 1998
• RESULTS: Fine particulate and sulfur oxide--related pollution were associated with all-cause, lung
cancer, and cardiopulmonary mortality. Each 10-ug/m3 of PM2.5 associated with approximately a 4%, 6%, and 8% increased
risk of all-cause, cardiopulmonary, and lung cancer mortality, respectively. Measures of coarse particle fraction and total suspended particles were not consistently
associated with mortality.
• CONCLUSION: Long-term exposure to combustion-related fine particulate air pollution is an important
environmental risk factor for cardiopulmonary and lung cancer mortality.
16
Chronic Effects: All Cause Mortality
Source: Pope III, C. A., R. T. Burnett, M. J. Thun, E. E. Calle, D. Krewski, K. Ito and G. D. Thurston (2002). “Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution.” Jama 287(9): 1132-41.
PM2.5 NAAQS Annual Avg: 15 ug/m3
17
Chronic Effects: All Cause MortalityExtrapolation to Santiago
Source: Pope III, C. A., R. T. Burnett, M. J. Thun, E. E. Calle, D. Krewski, K. Ito and G. D. Thurston (2002). “Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution.” Jama 287(9): 1132-41.
25 30 35 40 45 50
SantiagoPromedio 1989-2001Santiago
2001
Rango de estudio en EE.UU
Promedio Anual de PM2.5 [ug/m3]
¿ Cómo estimar el impacto de la CA?
20
21
Método de la Función de Daño
Daño SocialReducción de
Emisiones
PoblaciónExpuesta
RelacionConcentración
Respuesta
Cambios enConcentraciones
Efectos en laSalud
ConcentraciónBase
Valoraciónde Efectos
Requerimientos de Informacion
• Modelo de calidad del aire Monitoreo ambiental Inventarios de emisiones
• Impacto en salud Demografía Estadísticas de salud de la población Funciones Concentración-Respuesta
• Valoración de los efectos Costos médicos Costos de productividad Perdida Disposición a pagar
• Integración de los resultados22
Valoración económica del impacto por contaminación aérea en ciudades latinoamericanas.
Estimación de la perdida económica y de bienestar resultante de los actuales niveles de contaminación en 40 ciudades la Latinoamérica
(Trabajo realizado para el BID: Cifuentes, L. A., A. Krupnick, R. O'Ryan and M. Toman(2005). Urban Air Quality And Human Health In Latin America And The Caribbean. Washington, DC., Interamerican Development Bank. Disponible en http://www.iadb.org/sds/ENV/publication/publication_2492_4240_e.htm
24
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Epidemiologic studies of air pollution and health effects in Latin America and the Caribbean.
Source: An Assessment of Health Effects of Ambient Air Pollution in Latin America and the Caribbean, Working Draft, November 2004, Area of Sustainable Development and Environmental Health, Pan American Health Organization, World Health Organization
Effects studied include
• Premature Mortality
• Hospital admissions
• Emergency Room Visits
• Child Medical Visits
27
Health Effects considered:
Type of Exposure Type of Endpoint Endpoint (specific cause)
City/Country providing C-R functions
Mortality Premature Mortality (All and Cardiopulmonary causes)
USA Chronic Exposure Illness or Disease Chronic Bronchitis USA
Mortality Premature Mortality (All causes) LA cities / USA
Cardiovascular disease (ICD9 390-429) USA
Dysrhytmias (ICD9 427) USA
Respiratory Causes (ICD9 460-519) Sao Paulo/USA Hospital Admissions
Pneumonia (ICD9 480-487) Sao Paulo/USA
Asthma (ICD9 493) Sao Paulo
Cardiovascular disease Sao Paulo
Respiratory Causes Santiago
Emergency Room Visits
Upper respiratory symptoms (ICD9 460, 465, 487) Santiago
Pneumonia (ICD9 480-486) Santiago
Asthma (ICD9 493) Ciudad Juarez
Child Medical Visits Lower Respiratory Symptoms Santiago, Mexico
Medical Actions
Medical Visits
Child Medical Visits Upper Respiratory Symptoms Santiago
Asthma Attacks USA Illness or Disease
Acute Bronchitis USA
Work Loss Days (WLD) USA
Restricted Activity Days (RAD) USA
Minor Restricted Activity Days (MRAD) USA
Acute Exposure
Days with Restriction in Activity
Shortness of Breath Days USA
30
Valuation of the Health Effects
There are three components of the social value assigned to each health effect avoided:
1. Medical treatment: costs of the actual effect (for example, the cost of a visit to the emergency room)
2. Lost Productivity : the value of the labor lost due to the incidence of the health effect (e.g., while in the hospital and while recovering, work is missed)
3. Disutility: the direct welfare loss associated to the health effects (e.g the nuisance of experience an asthma attack)
The first two components can be estimated directly, and are referred to as the Cost of Illness (COI)
For disutility values, the method of choice is Contingent Valuation. There are very few CV studies in LAC.
31
Transference of Unit Values
• If not local values are available, they can be transferred from other countries, using ratio of per-capita income:
• Income elasticity: can vary from 0.4 to 1. If 0.4, values are less sensitive to income differences.
• Purchase Power Parity (PPP) can also be used. The difference between countries will be smaller.
)(euw
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32
Values used
• For this work, we considered medical costs values from Mexico and Chile, and Willingness to Pay values from Chile transferred to all countries.
• We also used willingness to pay values from the USA transferred to all countries.
• There is a big difference of the two source of values: For example, the Value of a Statistical Life (VOSL) from the Chilean study is $634 thousand, while the VOSL from the USA studies in $6.3 million.
Medical Unit Costs(US$ per case)
• Medical costs were transferred to other cities using the ratio of GNP in PPP terms
33
Buenos Aires Santiago
Age Group Conte Grand 2002
Cesar et al 2000 McKinley 2003 Holz 2000
Hospital Costs
Chronic Bronchitis All 218 17,750 2,667
Hospital AdmissionsRespiratory ( ICD 460-519) All 1,870 2,186 1,455Pneumonia (ICD 480-487) All 6,293 2,111 1,455
COPD (ICD 490-496) All 6,233 17,750Asthma (ICD 493) Adult 1,455
All 4,982 603 1,455Cardiovascular disease (ICD 390-429) All 7,377 5,611 10,890 3,267
Congestive Heart Failure (ICD 428) All 13,300Ischemic Heart Failure (ICD 410-414) All 8,481
Dysrhythmias (ICD 427) All 3,267
Emergency Room VisitsRespiratory ( ICD 460-519) All 91 269 65 Pneumonia (ICD 480-486) All 65
Upper respiratory symptoms (ICD 460, 465, 487)
All 65Asthma (ICD 493) All 154 317 65
Medical VisitsLower respiratory symptoms Children 44
Illness and SymptomsAsthma Attacks All 337
Respiratory Symptoms All 10
Mexico City
Endpoint
34
Value of Statistical Life1000 US$/case
Ctiy
Buenos Aires, AR 475 4,070 Cordoba, AR 369 3,681 Mendoza, AR 313 3,446
Campinas, BR 490 4,185 Canoas, BR 922 5,389 Caxias, BR 423 3,945
Sao Jose Do Campos, BR 490 4,185 Sao Paulo, BR 422 3,943 Sorocaba, BR 490 4,185
Vitoria, BR 323 3,545 Calama, CL 320 3,305
Santiago, CL 475 3,869 Temuco, CL 463 3,828 Bogota, CO 325 3,897
Cali, CO 189 3,137 San Salvador, ES 201 2,762 Tegucigalpa, HO 38 1,535 Mexico City, MX 761 3,980
Monterrey, MX 570 3,547 Puebla, MX 570 3,547
Lima, PE 213 2,904 Montevideo, UR 421 4,062
Caracas, VZ 522 3,222
Note: Values from the US transfered using PPPI ratios and an elasticity of 0.4. Values from LA transferred using PCI ratios and an elasticity of 1.0.
Source of VSL Value
LA USA
36
Ambient Pollutant Concentrations
• Data for 39 LAC cities was gathered from different sources: state-run monitoring networks, research monitors, etc.
• The quality of data was an issue: we separated the ‘good’ quality cities from the not so good, or unknown quality.
• Analyses scenarios: We analyzed two control scenarios: C1: a uniform 10% reduction in actual levels C2: the attainment of a 50 ug/m3 reference
level
(this level is similar to many countries annual standards. New WHO guidelines are 40–20 ug/m3)
370 50 100 150 200 250
Buenos Aires, ARCordoba, ARMendoza, AR
Campinas, BRCanoas, BRCaxias, BR
Ciudad De Puebla, BRCubatao, BRCuritiba, BRItaguai, BR
Porto Alegre, BRRio De Janeiro, BR
Sao Paulo, BRSao Jose Do Campos,
Sao Joao De Meriti, BRSorocaba, BR
Vitoria, BRCalama, CL
Santiago, CLTemuco, CLBogota, CO
Cali, COHeredia, CR
San Jose, CRGuayaquil, EC
Quito, ECSan Salvador, ESTegucigalpa, HO
Kingston, JAGuadalajara, MX
Juarez, MXMexico City, MXMonterrey, MX
Valle De Toluca, MXManagua, NI
Panama City, PALima, PE
Montevideo, URCaracas, VZ
ug/m3
Reduction in C2 (less C1)
Reduction in C1
PM10 annual concentrations 2000-03
38
Population exposure to PM10
All, 83.9
Children, 27.6
Adult, 50.4
Elder, 5.9
0
10
20
30
40
50
60
70
80
90
100
0 20 40 60 80 100 120 140 160
Mill
ion
s
PM10 Concentrations [ug/m3]
Exp
ose
d P
op
ula
tion
to C
on
c >
C
Reference: 50
Reduction in Mortality and Morbidity (cases per year)
40
Scenario Endpoint Group C1 - 10% reduction
C2- Annual Standard
Premature Mortality 3,200 10,400
LAC Hospital Admissions 9,800 32,000
Emergency Room Visits 29,000 83,000
Medical Visits 71,000 240,000
Premature Mortality 3,900 13,500
USA Chronic Bronchitis 21,000 61,000
Hospital Admissions 31,000 100,000
Emergency Room Visits 4,900 15,000
Work Loss Days 3,800,000 12,000,000
Restricted Activity Days 21,000,000 64,000,000
Symptoms 39,000,000 110,000,000
42
Per Capita Benefits(US$/person/yr)
Benefits Scenario
WTPLAC 17 70 USA 201 883
COILAC 1 5 USA 22 83
C1 10%
reduction
C2 Annual
Standard
43
0% 5% 10% 15%
J uarezMonterrey
Mexico CityPuebla
CanoasValle De Toluca
CaracasCuritiba
Sao J ose Do CamposI taguai
CubataoSorocaba
GuadalajaraSantiago
CampinasSao Paulo
TemucoSan Salvador
CaxiasQuito
CalamaVitoriaBogota
GuayaquilSao J oao De Meriti
San J oseKingston
Porto AlegreLimaCali
Rio De J aneiroMendoza
Buenos AiresHeredia
Panama CityCordobaManagua
MontevideoTegucigalpa
Benefits as % of income for a 10% reduction in PM10 levels
A 10% reduction in PM10 levels results in considerable benefits as % of income.
The differences stem from different actual levels, and from mortality rates.
Summary
• This analysis shows that there is a significant benefit to be accrued if ambient concentrations of PM are reduced, i.e. there is a significant damage being done now!
• Although the biggest figures are for lost of welfare (expressed as willingness to pay measures), the cost of illness figures are important
• For the scenario in which the annual PM standars are met, the benefits amount to up tp 83 US$/person per year (For Santiago, is 49 US/person, for Ciudad Juarez, Mexico, 97 US$/person). These are significant numbers.
45
Costos en salud evitados en Santiago de Chile debido al proceso de descontaminación iniciado en 1990.
• Costos económicos evitados por el Plan de Descontaminación
• Comparación con Costo de las medidas de reducción de emisiones
47
Puntos Principales• Monitoreo de PM2.5 permite centrarse en la fraccion fina
del material particulado, que es la mas peligrosa.
• Estudios epidemiológicos realizados en Santiago brindan una mayor confianza a los resultados, y ayudan a sobreponerse al síndrome ‘esto no le ocurre a nuestra población’
• Datos detallados de atenciones de salud nos permiten asignar los costos a los diferentes agentes: estado, población, sector privado
• Desarrollo de inventarios de emisiones permite, en forma aproximada, estimar el impacto de reducciones en emisiones en la calidad ambiental, y por ende, cuantificar los beneficios de estas reducciones, y realizar un análisis costo beneficio para las medidas de mitigación.
48
50
PM2.5 [ug/m3]
Mue
rtes
Dia
rias
0 50 100 200
5055
6065
70
PM10-2.5 [ug/m3]
Mue
rtes
Dia
rias
20 60 100 140
5055
6065
70
PM2.5 - PM10-2.5 Mortalidad Diaria según Tamaño de Partícula
Fuente: Cifuentes, L., J. Vega, K. Kopfer and L. Lave (2000). “Effect of the fine fraction of particulate matter vs the coarse mass and other pollutants on daily mortality in Santiago, Chile.” Journal of the Air & Waste Management Association 50(August): 1287-1298.
53
Excess effects in Santiago for year 2000
Effects computed for the whole population in Santiago, 4.8M people, for a change in PM2.5 concentrations from the current 35.1 ug/m3 to a reference level of 15 ug/m3 (the US standard). Chronic effects computed for a change from 52.5 to 15 ug/m2 of the long term average concentrations.
3,100
523
5,5003,2262,085
21,252
117,157986,484
3,375,150
100
1,000
10,000
100,000
1,000,000
10,000,000
MRADS &
Sym
ptom
Day
s
Wor
k Los
s Day
s
Asthm
a Atta
cks
All Em
erge
ncy
Room
Visi
ts
Acute
Bro
nchi
tis
Chron
ic Bro
nchi
tis
All Hos
pital
Adm
Prem
. Mor
tality
(lon
g-te
rm)
Prem
. Mor
tality
(sho
rt-te
rm)
54
Quien recibe los beneficios?
SectorMedical
treatmentLost
Productivity Disutility TotalGovernment 1.1% 11.1% 12.2%
Private 0.5% 3.4% 3.8%Population 0.3% 6.3% 77% 83.9%
Total 1.9% 20.8% 77.3% 100%
• Usando la adscripción de la población a los diferentes sistemas de salud (publico, privado e independientes), y su empleador (que es responsable del pago de las licencias medicas), pudimos asignar los beneficios a cada sector:
55
Benefits for the 1997 Santiago Decontamination Plan
0
10
20
30
40
50
60
70
80
1997 2000 2003 2006 2009 2012
Pm
2.5
(u
g/m
3)
No Plan
Plan
• In 1997 a Atmospheric Decontamination and Prevention Plan (PPDA) was signed into law.
• The Plan The Plan calls for a gradual reductions in AP concentrations, aiming to comply with the current Chilean PM10 and ozone standards in a 15 year time frame.
• The baseline conditions assume an increase in concentrations due to increase in population and in economic conditions
57
Number of cases avoided by the Decontamination Plan
• Total number of cases accrued from 1997 to 2011, if the reduction in concentrations is achieved.
mid mid
Prem. Mortality (short-term) 9,157 (5,436 - 12,882) 1,001 (332 - 1,669)
Prem. Mortality (long-term) 61,668 (38,198 - 85,256)
All Hospital Adm 37,465 (25,150 - 51,393) 41,088 (19,544 - 67,611)
Chronic Bronchitis 95,867 (40,054 - 154,865)
Acute Bronchitis 187,363 -(1,257 - 403,829)
All Emergency Room Visits 218,509 (79,618 - 357,567) 356,577 (253,468 - 458,229)
Asthma Attacks 4,636,093 (3,328,309 - 5,990,541) 1,080,463 (409,643 - 1,744,095)
Work Loss Days 18,501,260 (16,164,860 - 20,853,300)
MRADS & Symptom Days 93,141,380 (81,812,550 - 104,760,400) 53,842,600 (23,955,610 - 87,009,140)
Endpoint90% CI 90% CI
PM2.5 Effects Ozone Effects
0
10
20
30
40
50
60
70
80
1997 2000 2003 2006 2009 2012
Pm
2.5
(ug
/m3)
No Plan
Plan
58
Beneficios en Salud del PPDA 1997-2011(Mill. US$ de 2000)
Millones de dólares del 2000
EstadoSector Privado
Población Total
Mortalidad Prematuras 70 21 2,692 2,783 Bronquitis Crónica 335 106 218 659
Días de Actividad Restringida Menor - - 280 280 Días de Pérdida de Trabajo 124 37 57 217
Síntomas Respiratorios - - 55 55 Admisiones Hospitalarias 24 10 7.7 42
Ataques de Asma - - 12 12 Consultas Infantiles IRA Baja 5.6 2.8 1.2 9.5
Visitas Sala de Emergencia 1.8 0.4 1.4 3.7 Bronquitis Aguda - - 0.6 0.6
Total 560 178 3,324 4,061
EfectoSector
59
Razón Beneficio/Costo para medidas de reducción
• Razón calculada como el Valor Presente de los beneficios sobre el valor presente de los costos, durante toda la vida útil de la medida, usando una tasa de descuento social del 12%. Beneficios bajos calculados considerando solo muertes de corta exposición. Beneficios altos incluye muertes debido a exposición prolongada.
• El beneficio incluye el beneficio de las reducciones de PM2.5 y de ozono. No se han valorado las reducciones de CO2.
B/CCriterio paralizacion FF 8 (13 -6)
PPC VL 15.7 (8.2 -24.3)
Norma Tier 1 VL INFNorma LEV VL 10.4 (4.8 -16.5)
Buses GNC 5.7 (2.7 -21.3)
Buses Hibridos 7.0 (4.3 -10.3)
Convertidor CC buses diesel 3.1 (1.8 -4.2)
Retrofitting CC buses EPA94 3.0 (1.8 -4.6)
Retrofitting CC buses EPA91 5.1 (3.3 -6.8)
Norma Euro III camiones 3.4 (2.2 -4.7)
Mejora calidad del diesel 3.0 (2.0 -3.8)
Aspirado de calles 2.6 (0.4 -5.3)
Pavimentado de calles 4.5 (0.6 -9.3)
IC 90%Medida
60