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Health Benefits of Air Pollution 
Milan Ščasný Charles University in Prague Second Ad-hoc Technical Workshop on CIRCLE 2-3 October 2014, OECD Paris
Contribution 
Agenda: How can air pollution impacts be monetised and linked to specific economic activities and what additional work is required to do so? 
•Linking the economic model with AQ-benefit assessment: Drivers of the pressures 
•Identifying impacts: Going from pressure to impacts 
•Deriving benefits: Moving from (health) impacts to monetary valuation 
•Linking the modeling approaches on the top: Economic assessment within a general equilibrium framework
From econ model to AQ-benefits 
< Impact pathway approach > 
POLLUTANT 
& NOISE 
EMISSIONS 
MONETARY 
VALUATION 
TRANSPORT 
& CHEMICAL 
TRANSFORMATION 
DIFFERENCES OF 
PHYSICAL IMPATS 
3
From econ model to AQ-benefits 
Drivers 
Output-linked 
coeff 
Fuel-linked 
coeff 
Fuel-linked 
projections 
(CIRCLE?) 
Scale 
The change in performance of the 
whole economy 
    
Composition The change in relative sizes of sector    
Fuel Intensity 
The change in fuel consumption per 
unit of value added 
  
Fuel Mix 
The change in fuel-mix used in 
production 
  
Emission 
Intensity 
The change in emission volume per unit 
of fuel used (affected by end-of-pipe) 
 
1 
• MR EE IOTs (EXIOBASE, CREEA) is very rich and useful source on fuel-specific 
country-specific emission coefficients, but it describes economy in the past (2007)
From pressures to impacts 
CIRCLE: 
•mortality, morbidity, pain attributable to airborne pollutants (SO2, NOx,PM2.5,OC,BC,NH3) 
•primarily health benefits, but effect on crop, biodiversity, cultural heritage later Comments 
•building materials soiled or corroded  the ExternE project series 
•benefits can be valued only if reliable DRFs/ERFs/CRFs exist 
PMcoarse, NMVOC, heavy metals  ExternE (NEEDS, DROPS, HEIMTSA,…) 
(GHGs health effects included in DICE, FUND, PESETA, GLOBAL-IQ, …)
externalities 
External costs from power sector in Czech Rep. (2005) 
mil. € 
% total 
externalities 
% classic 
pollutants 
mortality 956.75 32.4% 54.1% 
chronic YOLL 947.43 32.1% 53.6% 
acute YOLL 8.30 0.3% 0.5% 
infant mortality 1.02 0.0% 0.1% 
morbidity 484.89 16.4% 27.4% 
chronic bronchitis 150.07 5.1% 8.5% 
RAD 98.54 3.3% 5.6% 
LRS 82.87 2.8% 4.7% 
cough 3.02 0.1% 0.2% 
HA 0.95 0.0% 0.1% 
broncholidator 0.17 0.0% 0.0% 
WLD 149.27 5.1% 8.4% 
crops 16.07 0.5% 0.9% 
materials 75.74 2.6% 4.3% 
loss of biodiversity 184.32 6.2% 10.4% 
North hemispheric 50.00 1.7% 2.8% 
micro-pollutants 16.63 0.6% 
climate change (21€/t) 1 171.32 39.6% 
TOTAL 2 955.71 100.0% 
Work-loss-days
Valuing benefits < monetary valuation > 
CIRCLE: 
•Market and non-market value 
•GBD-based? Comments 
•GPD measured via QALY or DALY does not conform to welfare economics  
•quantify welfare changes due to avoiding specific health outcome or risk 
MEDCOST - Medical treatment costs 
medical costs paid by the health service (covered by insurance), and any other personal out-of-pocket expenses 
LOSSPROD - Indirect (opportunity) costs in terms of loss productivity 
work time loss, lower efficiency of performance, and the opportunity cost of leisure 
DISUTILITY 
 welfare loss due to inconvenience, suffer, pain, or premature death
Valuing benefits /2 < Are they any values? WTP for other health outcomes? > 
•benefits can be valued only if monetary values (willingness-to-pay) are available 
…reviews by Mike Holland & Anna Alberini 
respiratory illness  NEEDS (cough, hosp admission, etc.); HEIMTSA (COPD, chronic bronchitis), ECHA-WTP (asthma) 
fertility  Value of a Statistical Pregnancy of approx. €30,000 in ECHA-WTP study (Ščasný & Zvěřinová 2014) 
developmental toxicity 
WTP - €4,000 minor birth defects; €130,000 defects of internal organs, metabolic and genetic disorder; €125,000 very low birth weight  ECHA-WTP 
€5-20,000 loss of earnings due to one point IQ  DROPS 
carcinogens 
VSL as well as VSCC for cancer, controlling for quality of life and pain impact (Alberini and Ščasný, 2014) 
skin sensitisation and dose toxicity 
WTP for dermatitis and renal failure by Máca and Braun Kohlová (2014)
Valuing benefits /3 < methodological issues > 
VSL vs. VOLY (Value of a Statistical Life vs. Value of a Statistcal Life Year) 
–due to shorter expected lifespans of elderlies, the VOLY assigns a lower value  VOLY called as "senior death discount“ 
–EPA‘s SAB rejected using the VOLY approach (2008), similarly OECD CBA by Pearce et al. (2006) is recommending using VSL rather than VOLY 
–Economic theory suggests to value changes in risk of dying  WTP for ‘a micromort’  Value of a Statistical Life 
–My suggestion: 
use WTPs for mortality risk reduction and link it with Risk Rates estimated in epidemiological studies 
If RR are transferred into Life Losts, use VSL 
If RR are transferred into YOLLs, use VOLY if it was based on WTP for risk reductions (partly in Desaigues et al. (2007; 2011) 
do not link VOLY on QALYs/DALYs, or make it with very caution
Valuing benefits /4 < methodological & normative issues > 
•Premiums in a Value of a Statistical Case 
10% ‘malus’ for morbidity associated with mortality risk 
50% bonus for infants 
no strong evidence for such premiums (Alberini and Ščasný 2012 for ‘child’ premium; Alberini and Ščasný 2014 for QoL in cancer risks) 
but, benefits for premature death should include both DISUTILITY (hence VSL) and Cost-Of-Illness (for instance, MEDCOST of cancer treatment is €6,000 and LOSSPROD are €40,000 in Czech Rep; Ščasný & Máca 2008)
Linking the models on the top MEDCOST and LOSSPROD 
•MEDCOST - Medical treatment costs 
medical costs paid by the health service (covered by insurance), and any other personal out-of-pocket expenses 
both public health service (sector in SAM) and personal out-of-pocket expenses (final use in SAM) 
Premature death may reduce governmental expenditures on pensions and health care (final use in SAM) 
public health system may affect the length of sickness leave  LOSSPROD 
•LOSSPROD - Indirect (opportunity) costs in terms of loss productivity 
work time loss, lower efficiency of performance, and the opportunity cost of leisure 
average wage, GDP per capita / employee – D(L) 
costs of absenteeism (CBI 1999), direct and indirect – P(L), MPL 
friction costs based on a concept of replacement (Koopmanschap et al. 1995)
< normative issue: social planner perspective > 
One value across countries and regions ? 
•WTP for pain, inconveniences, or premature death 
consensus 
•MEDCOST 
 so far one ‘average’ value used, maybe for simplicity 
•LOSSPROD 
one value for whole EU, as far as I know, but the value is a population weighted average, at least for the EU
Linking the models on the top 
WTPs in GE framework /2 
• One ‘EU-average’ WTP values used in EcoSenseWeb tool (ESW)  using 
different values matter 
Table: Health-related externalities due to pollution from power sector in the Czech Republic if different 
monetary values are used. Source: Máca and Ščasný 2009 (NEEDS project) 
• one average value of MEDCOST and LOSSPROD is not consistent with SAM 
• using one WTP value of DISUTILITY (pain, mortality, fertility) may be fine because 
there is no its counterpart in SAM, and no component in the CGE utility function 
0 
200 
400 
600 
800 
1000 
1200 
1400 
1600 
ESW 
ESWindex 
ESWindex CZ 
ESWwealth 
ESWwealth CZ 
LITRVindex 
LITRVindex CZ 
LITRVwealth 
LITRVwealth CZ 
mil. € 
outside of CZ 
within the CZ 
PPP-adjusted 
GDP-adjusted 
Based on our literature 
review 
EU-wide 
values
Linking the models on the top 
WTPs in GE framework /3 
• Impacts, and hence benefits, are NOT distributed among emitting-country residents only 
Table: Health-related externalities due to pollution from power sector in the Czech Republic disaggregated according 
to the region where the impact would occur, % of total . Source: Máca and Ščasný 2009 (NEEDS project) 
• To ensure consistency with SAM, physical impacts (health outcomes) should be derived for 
country/regions, as used in CGE regional structure 
• Otherwise, one would need to assume that damage attributable to emissions released by 
region x are affecting residents from region x only 
0% 
10% 
20% 
30% 
40% 
50% 
60% 
70% 
80% 
90% 
100% 
ESW LITRVindex LITRVwealth ESWindex ESWwealth 
% of total externalities 
rest 
TR+YU+HR 
UA+RUS 
HU+RO+SVK 
POL 
CZ 
NL+UK+BE 
ITA+FRA+AT 
DE
Linking the models on the top WTPs in GE framework /4 
•Keep WTP value over time constant (when income may increase)? 
where g is percentage change in income per capita in period t (i.e. endogenous in CGE), ε is elasticity of WTP wrt income (invariant in time?) 
•present value of WTPt to be consistent with CGE  utility discounting (PRTP) vs. consumption discounting (PRTP + g*εy), where εy is the elasticity of the marginal utility of consumption 
•consistency between variations (coming from CLI in CGE) and surpluses (CSU/ESU coming form stated preference valuation studies) 
•WTP values reported in FINAL prices, however, expenditures in SAM are recorded in BASIC prices (i.e. excluding taxes) – to be consistent with national accounts, WTP values would have to be ‘cleaned’ (taxes put out) 
푊푇푃푡=푊푇푃∙(1+푔푡∙휀푡)
Thanks for your attention Milan Ščasný Univerzita Karlova v Praze milan.scasny@czp.cuni.cz

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SESSION 6_Milan Scasny_Health Benefits of air pollution- CIRCLE workshop Oct. 2014

  • 1. Health Benefits of Air Pollution Milan Ščasný Charles University in Prague Second Ad-hoc Technical Workshop on CIRCLE 2-3 October 2014, OECD Paris
  • 2. Contribution Agenda: How can air pollution impacts be monetised and linked to specific economic activities and what additional work is required to do so? •Linking the economic model with AQ-benefit assessment: Drivers of the pressures •Identifying impacts: Going from pressure to impacts •Deriving benefits: Moving from (health) impacts to monetary valuation •Linking the modeling approaches on the top: Economic assessment within a general equilibrium framework
  • 3. From econ model to AQ-benefits < Impact pathway approach > POLLUTANT & NOISE EMISSIONS MONETARY VALUATION TRANSPORT & CHEMICAL TRANSFORMATION DIFFERENCES OF PHYSICAL IMPATS 3
  • 4. From econ model to AQ-benefits Drivers Output-linked coeff Fuel-linked coeff Fuel-linked projections (CIRCLE?) Scale The change in performance of the whole economy     Composition The change in relative sizes of sector    Fuel Intensity The change in fuel consumption per unit of value added   Fuel Mix The change in fuel-mix used in production   Emission Intensity The change in emission volume per unit of fuel used (affected by end-of-pipe)  1 • MR EE IOTs (EXIOBASE, CREEA) is very rich and useful source on fuel-specific country-specific emission coefficients, but it describes economy in the past (2007)
  • 5. From pressures to impacts CIRCLE: •mortality, morbidity, pain attributable to airborne pollutants (SO2, NOx,PM2.5,OC,BC,NH3) •primarily health benefits, but effect on crop, biodiversity, cultural heritage later Comments •building materials soiled or corroded  the ExternE project series •benefits can be valued only if reliable DRFs/ERFs/CRFs exist PMcoarse, NMVOC, heavy metals  ExternE (NEEDS, DROPS, HEIMTSA,…) (GHGs health effects included in DICE, FUND, PESETA, GLOBAL-IQ, …)
  • 6. externalities External costs from power sector in Czech Rep. (2005) mil. € % total externalities % classic pollutants mortality 956.75 32.4% 54.1% chronic YOLL 947.43 32.1% 53.6% acute YOLL 8.30 0.3% 0.5% infant mortality 1.02 0.0% 0.1% morbidity 484.89 16.4% 27.4% chronic bronchitis 150.07 5.1% 8.5% RAD 98.54 3.3% 5.6% LRS 82.87 2.8% 4.7% cough 3.02 0.1% 0.2% HA 0.95 0.0% 0.1% broncholidator 0.17 0.0% 0.0% WLD 149.27 5.1% 8.4% crops 16.07 0.5% 0.9% materials 75.74 2.6% 4.3% loss of biodiversity 184.32 6.2% 10.4% North hemispheric 50.00 1.7% 2.8% micro-pollutants 16.63 0.6% climate change (21€/t) 1 171.32 39.6% TOTAL 2 955.71 100.0% Work-loss-days
  • 7. Valuing benefits < monetary valuation > CIRCLE: •Market and non-market value •GBD-based? Comments •GPD measured via QALY or DALY does not conform to welfare economics  •quantify welfare changes due to avoiding specific health outcome or risk MEDCOST - Medical treatment costs medical costs paid by the health service (covered by insurance), and any other personal out-of-pocket expenses LOSSPROD - Indirect (opportunity) costs in terms of loss productivity work time loss, lower efficiency of performance, and the opportunity cost of leisure DISUTILITY  welfare loss due to inconvenience, suffer, pain, or premature death
  • 8. Valuing benefits /2 < Are they any values? WTP for other health outcomes? > •benefits can be valued only if monetary values (willingness-to-pay) are available …reviews by Mike Holland & Anna Alberini respiratory illness  NEEDS (cough, hosp admission, etc.); HEIMTSA (COPD, chronic bronchitis), ECHA-WTP (asthma) fertility  Value of a Statistical Pregnancy of approx. €30,000 in ECHA-WTP study (Ščasný & Zvěřinová 2014) developmental toxicity WTP - €4,000 minor birth defects; €130,000 defects of internal organs, metabolic and genetic disorder; €125,000 very low birth weight  ECHA-WTP €5-20,000 loss of earnings due to one point IQ  DROPS carcinogens VSL as well as VSCC for cancer, controlling for quality of life and pain impact (Alberini and Ščasný, 2014) skin sensitisation and dose toxicity WTP for dermatitis and renal failure by Máca and Braun Kohlová (2014)
  • 9. Valuing benefits /3 < methodological issues > VSL vs. VOLY (Value of a Statistical Life vs. Value of a Statistcal Life Year) –due to shorter expected lifespans of elderlies, the VOLY assigns a lower value  VOLY called as "senior death discount“ –EPA‘s SAB rejected using the VOLY approach (2008), similarly OECD CBA by Pearce et al. (2006) is recommending using VSL rather than VOLY –Economic theory suggests to value changes in risk of dying  WTP for ‘a micromort’  Value of a Statistical Life –My suggestion: use WTPs for mortality risk reduction and link it with Risk Rates estimated in epidemiological studies If RR are transferred into Life Losts, use VSL If RR are transferred into YOLLs, use VOLY if it was based on WTP for risk reductions (partly in Desaigues et al. (2007; 2011) do not link VOLY on QALYs/DALYs, or make it with very caution
  • 10. Valuing benefits /4 < methodological & normative issues > •Premiums in a Value of a Statistical Case 10% ‘malus’ for morbidity associated with mortality risk 50% bonus for infants no strong evidence for such premiums (Alberini and Ščasný 2012 for ‘child’ premium; Alberini and Ščasný 2014 for QoL in cancer risks) but, benefits for premature death should include both DISUTILITY (hence VSL) and Cost-Of-Illness (for instance, MEDCOST of cancer treatment is €6,000 and LOSSPROD are €40,000 in Czech Rep; Ščasný & Máca 2008)
  • 11. Linking the models on the top MEDCOST and LOSSPROD •MEDCOST - Medical treatment costs medical costs paid by the health service (covered by insurance), and any other personal out-of-pocket expenses both public health service (sector in SAM) and personal out-of-pocket expenses (final use in SAM) Premature death may reduce governmental expenditures on pensions and health care (final use in SAM) public health system may affect the length of sickness leave  LOSSPROD •LOSSPROD - Indirect (opportunity) costs in terms of loss productivity work time loss, lower efficiency of performance, and the opportunity cost of leisure average wage, GDP per capita / employee – D(L) costs of absenteeism (CBI 1999), direct and indirect – P(L), MPL friction costs based on a concept of replacement (Koopmanschap et al. 1995)
  • 12. < normative issue: social planner perspective > One value across countries and regions ? •WTP for pain, inconveniences, or premature death consensus •MEDCOST  so far one ‘average’ value used, maybe for simplicity •LOSSPROD one value for whole EU, as far as I know, but the value is a population weighted average, at least for the EU
  • 13. Linking the models on the top WTPs in GE framework /2 • One ‘EU-average’ WTP values used in EcoSenseWeb tool (ESW)  using different values matter Table: Health-related externalities due to pollution from power sector in the Czech Republic if different monetary values are used. Source: Máca and Ščasný 2009 (NEEDS project) • one average value of MEDCOST and LOSSPROD is not consistent with SAM • using one WTP value of DISUTILITY (pain, mortality, fertility) may be fine because there is no its counterpart in SAM, and no component in the CGE utility function 0 200 400 600 800 1000 1200 1400 1600 ESW ESWindex ESWindex CZ ESWwealth ESWwealth CZ LITRVindex LITRVindex CZ LITRVwealth LITRVwealth CZ mil. € outside of CZ within the CZ PPP-adjusted GDP-adjusted Based on our literature review EU-wide values
  • 14. Linking the models on the top WTPs in GE framework /3 • Impacts, and hence benefits, are NOT distributed among emitting-country residents only Table: Health-related externalities due to pollution from power sector in the Czech Republic disaggregated according to the region where the impact would occur, % of total . Source: Máca and Ščasný 2009 (NEEDS project) • To ensure consistency with SAM, physical impacts (health outcomes) should be derived for country/regions, as used in CGE regional structure • Otherwise, one would need to assume that damage attributable to emissions released by region x are affecting residents from region x only 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% ESW LITRVindex LITRVwealth ESWindex ESWwealth % of total externalities rest TR+YU+HR UA+RUS HU+RO+SVK POL CZ NL+UK+BE ITA+FRA+AT DE
  • 15. Linking the models on the top WTPs in GE framework /4 •Keep WTP value over time constant (when income may increase)? where g is percentage change in income per capita in period t (i.e. endogenous in CGE), ε is elasticity of WTP wrt income (invariant in time?) •present value of WTPt to be consistent with CGE  utility discounting (PRTP) vs. consumption discounting (PRTP + g*εy), where εy is the elasticity of the marginal utility of consumption •consistency between variations (coming from CLI in CGE) and surpluses (CSU/ESU coming form stated preference valuation studies) •WTP values reported in FINAL prices, however, expenditures in SAM are recorded in BASIC prices (i.e. excluding taxes) – to be consistent with national accounts, WTP values would have to be ‘cleaned’ (taxes put out) 푊푇푃푡=푊푇푃∙(1+푔푡∙휀푡)
  • 16. Thanks for your attention Milan Ščasný Univerzita Karlova v Praze milan.scasny@czp.cuni.cz