handout - The Ohio State University
Transcription
handout - The Ohio State University
Air Pollution Emissions, 2008 (thousand tons) Pollution Costs of Urban Transportation Philip A. Viton February 9, 2012 Source NH3 CO NOx PM10 PM2.5 SO2 VOC Total emissions 4,043 77,685 16,339 14,805 4,892 11,429 15,927 Fuel combustion stationary sources Industrial processes Highway vehicles O¤-highway Miscellaneous 58 206 308 3 3,457 5,283 3,737 38,866 18,036 11,731 5,597 1,047 5,206 4,255 260 1,330 1,461 171 304 11,540 1,006 751 110 283 2,742 9,872 1,025 64 456 85 1,450 7,142 3,418 2,586 1,332 7.6 50.0 31.9 1.2 2.2 0.6 21.5 Highway contrib. (%) Key: NH3: ammonia; CO: carbon monoxide; NOx: oxides of nitrogen; PM: particulate matter (-diameter); SO2: sulfur dioxide; VOC: volatile organic compounds O¤ highway: agricultural/construction machinery, recreational marine vessels etc. Miscellaneous: forest …res, other burning, dust, natural sources. Philip A. Viton CRP 776 () — Pollution February 9, 2012 1 / 47 The Good News I Philip A. Viton CRP 776 () — Pollution February 9, 2012 2 / 47 February 9, 2012 4 / 47 The Good News II Standards Period < 1970 1970 1975–6 1980 1993 1994 2004-6 CO 84.0 34.0 15.0 7.0 3.4 3.4 1.7 US VOC 10.6 4.1 1.5 0.4 0.4 0.3 0.1 NOx 4.1 NS 3.1 2.0 1.0 0.4 0.2 CO 84.0 34.0 9.0 9.0 3.4 3.4 3.4 CA VOC 10.6 4.1 0.9 0.4 0.1 0.1 0.08 Total Emissions NOx 4.1 NS 2.0 1.0 0.4 0.4 0.2 Pollutant 1970 2008 % Change CO VOC NOx PM-10 SO2 204.0 34.7 26.8 13.0 31.2 77.7 15.9 16.3 14.8 11.4 61.9 54.2 39.2 +13.8 63.5 Units:millions of tons Units: gm/mi for light-duty vehicles Philip A. Viton CRP 776 () — Pollution February 9, 2012 3 / 47 Philip A. Viton CRP 776 () — Pollution The Good News III The Good News IV % Change in Transportation-Related Emissions, 1985–1994 Highway-Vehicle Emissions Pollutant 1970 2008 % Change 88.0 13.0 7.4 0.4 38.9 3.4 5.2 0.2 56 74 30 50 172.0 0.0 CO VOC NOx PM-10 Lead Area Units:millions of tons (Lead: thous. tons) Philip A. Viton CRP 776 () — Pollution February 9, 2012 5 / 47 Nature of the Problem VOC NOx NY-NJ Pittsburgh 33 46 7 26 26 37 18 31 Dallas-Fort Worth Miami 46 35 17 +6 35 14 25 7 LA SF Portland 32 30 28 9 16 5 26 22 23 18 25 12 Philip A. Viton CO CRP 776 () — Pollution PM10 February 9, 2012 6 / 47 Strategy Air pollution is an externality for the same reason as tra¢ c congestion We want to know: Individuals have no incentive to take account of the damage their emissions do to other’s health What is the nature of the physical damage done by pollutants emitted by transportation vehicles As with congestion, the solution is pollution tolls, to equalize price individuals face for their activities with total social costs of those activities What is the (marginal) value of that damage More formally we know: We address these following our usual strategy: users will make their decisions based on their perceived average costs : this will characterize the equilibrium distribution of travel the (cost-minimizing system) optimum is based on users’making decisions based on marginal cost, which incorporates the impact they impose on others Formally: MC = AC + Q ∂AC /∂Q : the second term is the external damage Philip A. Viton CRP 776 () — Pollution February 9, 2012 7 / 47 We …rst outline the general physical impacts of selected pollutants Then we discuss a way to estimate the value of (part of) the damage due to transportation Philip A. Viton CRP 776 () — Pollution February 9, 2012 8 / 47 Volatile Organic Compounds (V0Cs) I Volatile Organic Compounds (V0Cs) II Sources Transport: emitted by burning fuel Impacts: Also by chemicals found in the home or emitted by products like glues and permanent markers Irritate eyes, nose, throat Home-emissions of VOCs are considered more of a problem than transportation emissions Cause headaches However, according to the EPA, not much is known about the health e¤ects from levels usually found in homes Suspected carcinogens in humans (and, more certainly, in animals) Damage liver, kidneys, central nervous systems EPA regulates only formaldehydes in non-industrial settings (cf. post-Katrina mobile homes) Philip A. Viton CRP 776 () — Pollution February 9, 2012 9 / 47 Carbon Monoxide (CO) I Philip A. Viton CRP 776 () — Pollution February 9, 2012 10 / 47 Carbon Monoxide (CO) II Impacts: at high levels Description Can lead to vision problems Colorless, odorless gas formed when fuel is incompletely burned Reduced ability to work or learn Sources Reduced manual dexterity Transport vehicles contribution about 50% of all CO emissions nationwide, with upwards of 85% in urban areas Other outdoor sources: metals processing, residential wood burning Impacts: at low levels Indoor sources: wood-burning stoves, gas stoves, cigarette smoke, unvented gas/kerosene heaters. Philip A. Viton CRP 776 () — Pollution February 9, 2012 Poisonous to humans at very high levels. EPA strongly recommends CO detectors in the home to control for this possibility (remembering that CO is colorless and odorless). Very detrimental to people with heart disease 11 / 47 Philip A. Viton CRP 776 () — Pollution February 9, 2012 12 / 47 Oxides of Nitrogen (NOx) I Oxides of Nitrogen (NOx) II Description Impacts: Formed when fuel is burned at high temperatures NO2 : respiratory problems Contributes to formation of acid rain Sources Contributes to nutrient overload that deteriorates water quality Motor vehicles Aesthetic damage (visibility impairment) Utilities Reacts to form other toxic chemicals Industrial/commercial/residential May contribute to global warming Philip A. Viton CRP 776 () — Pollution February 9, 2012 13 / 47 Sulfur Oxides (SOx) I Philip A. Viton CRP 776 () — Pollution February 9, 2012 14 / 47 Sulfur Oxides (SOx) II Description Impacts: (primarily SO2 ) Family of gases produced when sulfur is burned Respiratory damage, particularly on children from both gaseous and particulate emissions Sources Contributes to acid rain, which also damages plants and water Fuel burning electric utilities Contributes to haze (visibility impairment) Other fuel-burning industrial sources Aesthetic damage: accelerates deterioration of building materials & paints O¤-road vehicles Metals processing Philip A. Viton CRP 776 () — Pollution February 9, 2012 15 / 47 Philip A. Viton CRP 776 () — Pollution February 9, 2012 16 / 47 Lead (Pb) I Lead (Pb) II Impacts: Sources: (recent) Damages kidneys and liver A¤ects brain an nervous system. Particularly acute for fetuses and young children Metals processing (> 50 %) Waste disposal ( 16%) O¤-road vehicles ( Fuel combustion ( With high blood pressure, can lead to heart disease 13%) In animals: same as people 13%) In …sh: reproductive damage Note that this problem has been e¤ectively eliminated in on-road transportation Philip A. Viton CRP 776 () — Pollution February 9, 2012 17 / 47 Ground-Level Ozone Philip A. Viton CRP 776 () — Pollution February 9, 2012 18 / 47 Particulate Matter (PM) I VOC + NOx + Sunlight = Ozone ‘Good’ozone: Occurs 20–30 miles above earth’s surface Protects against solar rays Mixture of solid particles and liquid droplets in the air ‘Bad’ozone: Occurs in lower atmosphere Prolonged exposure: permanent lung damage Low levels: can irritate lung airways and cause in‡ammation; can cause aggravated asthma, reduced lung capacity, increased susceptibility to pneumonia, bronchitis. Impact on ecosystem: interferes with ability of plants to produce and store food, making them more susceptible to disease, insects etc Aesthetic damage to leaves etc Reduces crop and forest yields Philip A. Viton CRP 776 () — Pollution February 9, 2012 19 / 47 Diameter measured in micrometers = microns (µm) Typical diameter: 2.5µm : 1/70 width of human hair Philip A. Viton CRP 776 () — Pollution February 9, 2012 20 / 47 Particulate Matter (PM) II Damage Estimation Methodologies The literature has distinguished at least three ways to estimate the costs of transportation pollutants Particles less than 10µm in diameter (PM10) can get into lungs and cause irritation of airways, aggravated asthma, bronchitis, irregular heartbeats Direct method PM2.5 (Fine Particulates) is a major source of haze Indirect (hedonic) methods EPA does not currently regulate particles of diameter > 10 microns (PM10): these are particles like sand or dust. estimate physical deaths / sicknesses caused by pollutants multiply by peoples’wtp to avoid this Assume that (eg) property values re‡ect wtp to avoid polluted area Regulatory lower bound estimate of damage is inferred from costs of meeting regulations We follows Small + Kazimi (1995), who use the direct method Philip A. Viton CRP 776 () — Pollution February 9, 2012 21 / 47 Small+Kazimi: Assumptions Damage to humans only: morbidity + mortality February 9, 2012 22 / 47 There is some controversy on just which aspect of particulate emissions causes human mortality: TSP = Total Suspended Particulates No aesthetic damage No CO impact : data was not available, and environmental impact is highly controversial LA only: $$1992. Note that the topography of LA makes it especially susceptible to generating large impacts from pollutants. Other areas may be very di¤erent. Linearity of damage function CRP 776 () — Pollution CRP 776 () — Pollution Assumptions: Particulates I Speci…cally aimed at transportation impacts: thus they examine only the damage from particulates and ozone. Philip A. Viton Philip A. Viton February 9, 2012 23 / 47 PM10 PM2.5 = Fine Particulates SO4 = sulfates, mainly aerosols of aluminum sulfate Small + Kazimi tend to follow the Evans study and attribute mortality to PM10, rather than to other measurements. Philip A. Viton CRP 776 () — Pollution February 9, 2012 24 / 47 Assumptions: Particulates II Small+Kazimi: Illustration Impact of particulates can be from two sources: For purposes of illustration, I now focus on one element of the Small+Kazimi calculation A vehicle emits particles directly. These are the direct impacts, and is what is listed in the Small + Kazimi tables, in columns headed PM10 The impact on human mortality of particulate matter in NOx emissions A vehicle emits some other substance, eg VOCs, which themselves contain particles. These are what is being measured in the other columns of their tables: eg the VOC columns measure the impacts of particulate matter in VOCs. Philip A. Viton CRP 776 () — Pollution February 9, 2012 I refer to this as NOx particles. Other impacts are similarly calculated This is pp. 18-19, and note 11 of the paper 25 / 47 Small+Kazimi : Outline of Calculations Philip A. Viton CRP 776 () — Pollution February 9, 2012 26 / 47 Small+Kazimi : PM10 in the Air To assess the impact of particles emitted in NOx, Small + Kazimi need to know: Emissions: How much particulate matter (PM10) is there in the air? NOx Concentration: How much of that is due to NOx? How does the NOx contribution relate to mortality? How much particulate matter (PM10) is there in the air? Estimated from 4 years observations at the downtown LA monitoring station Estimate: 57.8 µg /m3 . (paper, p. 19 …rst full paragraph). So each cubic meter of air is estimated to contain 57.8 microns of PM10 particles. How much of the NOx contribution is caused by motor-vehicle emissions? What is the cost impact (wtp) of the motor–vehicle related emissions? What is the cost impact for a speci…c vehicle type? Philip A. Viton CRP 776 () — Pollution February 9, 2012 27 / 47 Philip A. Viton CRP 776 () — Pollution February 9, 2012 28 / 47 Small+Kazimi : NOx Concentration Small+Kazimi : Implications for Mortality How do particles in NOx contribute to mortality? How much of the observed PM10 is due to NOx particles? NOx is estimated to contribute 10.5% of PM10 (paper p. 19, line 1) Therefore: NOx contribution to PM10: 57.8 µg /m3 . 0.105 = 6. 069 In other words, each cubic meter of air is estimated to contain about 6.1 microns of NOx-caused particles. Based on epidemiological studies Regress death rates (deaths per 100,000 population) on causes (here, ambient concentrations of pollutants). Small+Kazimi prefer an estimate due to Evans (paper, p. 18): 0.338 deaths per 100,000 population per year per µg /m3 of PM10 emissions. 0.338 = 2. 051 3 So the contribution of NOx particles is 6.069 deaths/100,000 population LA’s population is about 12 million = 120 100, 00 2.0513 = 246.1586 So annual deaths due to NOx particles are 120 people per year Philip A. Viton CRP 776 () — Pollution February 9, 2012 29 / 47 Small+Kazimi : Costs I Philip A. Viton CRP 776 () — Pollution February 9, 2012 30 / 47 Small+Kazimi : Costs II What is the cost? This is the most controversial part of any study Small and Kazimi adopt a value-of-life approach Deaths due to NOx in PM10: 246.1586 per year How much is one willing to pay for a statistical life? That is, what is one willing to pay for a reduction in the probability of death (Not wtp for avoiding one’s own certain demise). Value of individual life: $4.87 million So mortality cost of NOx in PM10: 246.1586 million/year (= $1.199 b/yr) 4.87 = 1198. 8 $ Estimate: $4.87 million per life saved (paper, Table 5, note (a)). They also explore the implications of valuing a (statistical) life at $11.3 million or $2.1 million Philip A. Viton CRP 776 () — Pollution February 9, 2012 31 / 47 Philip A. Viton CRP 776 () — Pollution February 9, 2012 32 / 47 Small + Kazimi : Total Vehicle-Related Costs Small+Kazimi : Attribution to Speci…c Vehicles NOx emissions due to motor vehicles are extrapolated from monitoring stations in LA Estimate: 762 tons / day due to motor vehicles So we estimate 762 motor vehicles 365 = 278 , 130 tons / year of NOx emitted by What is the cost of the damage done by a speci…c vehicle? This is straightforward, based on EPA-conducted tests Mortality cost per ton per year of motor-vehicle related NOx emissions : 1198.8 106 278130 = 4310. 188 tons/year For example, for the CA ‡eet in 1992, an average gasoline-powered car emitted 1.26 gm/mi of NOx 1 Ton = 914,286 grams Mortality cost of NOx emissions would be: 1.26 c//mi. So annual mortality cost of NOx particles emitted by motor vehicles is 4310. 188 914286 = 4. 714 3 10 3 0.4714 = 0.594 Of course, we can be more speci…c as to vehicle type (see below). $/gm = 0.0047143 $/gm = 0.4714 c//gm Philip A. Viton CRP 776 () — Pollution February 9, 2012 33 / 47 Small+Kazimi : Further Work Philip A. Viton Source Then they study mortality and morbidity impacts of other pollutants emitted by transportation vehicles, including direct PM10 emissions Finally, ozone (morbidity only) Mortality from particulates Morbidity from particulates Morbidity from ozone Total Obviously, a huge data crunch; but the calculations are in principle very similar to the one illustrated here. CRP 776 () — Pollution February 9, 2012 34 / 47 Small+Kazimi : Baseline Damage Costs To complete the study of NOx impact, Small and Kazimi need to study the morbidity impact of NOx particles Philip A. Viton CRP 776 () — Pollution February 9, 2012 35 / 47 VOC NOx SOx PM10 1.69 0.08 1.15 2.92 8.45 0.42 1.81 10.67 104.80 5.20 0.00 109.90 97.20 4.80 0/00 102.00 Units: $1000 in 1992 per ton of emissions Philip A. Viton CRP 776 () — Pollution February 9, 2012 36 / 47 Small + Kazimi : Results for Transportation Vehicle, Assumption 1992 CA Fleet avg car Baseline case Low estimate High estimate 1992 CA Heavy-duty truck Baseline case Low estimate High estimate VOC NOx SOx Small + Kazimi : Results for Transportation PM10 Total Baseline Assumptions Vehicle 1.21 0.67 3.69 0.76 0.42 2.31 1.48 0.57 5.64 18.45 7.06 70.24 0.46 0.12 2.02 6.98 1.79 30.59 0.13 0.03 0.56 26.51 6.80 116.16 3.28 1.38 11.91 52.70 16.07 219.30 Entries are pollution damage in c//vm VOC NOx SOx PM10 Total 1977 car in 1992 1.51 0.78 1.58 2.79 6.65 1992 CA Fleet averages Gasoline car Light-duty truck Heavy-duty truck 1.21 0.12 0.76 1.48 1.75 18.45 0.46 1.48 6.98 0.13 4.44 26.51 3.28 7.79 52.70 2000 Estd CA ‡eet avg Gasoline car Light-duty truck Heavy-duty truck 0.58 0.13 0.64 0.81 1.81 14.48 0.10 1.35 6.30 0.11 1.36 13.27 1.61 4.64 34.69 The Baseline assumptions do not correspond exactly to the calculations described above: see paper, p. 23, note (a). Philip A. Viton CRP 776 () — Pollution February 9, 2012 37 / 47 Pollution Tax on Cars Philip A. Viton CRP 776 () — Pollution February 9, 2012 38 / 47 Pollution Tax on Cars I We address this via the concept of elasticity For CA ‡eet-average gasoline-powered car, 1992 pollution damage is 3.3 c//vm Suppose we assessed this as an (additional) tax Elasticity = % change in behavior % change in cost where here, we take Behavior to mean miles driven In 1992 gasoline in California cost about $1.20 per gallon What behavior impact would we expect? Average fuel economy was about 23 mpg So cost per mile is about 120 23. = 5. 217 4 c//mile A pollution tax would increase this to 5.2 + 3.3 = 8. 5 c//mile, roughly a 63% increase Philip A. Viton CRP 776 () — Pollution February 9, 2012 39 / 47 Philip A. Viton CRP 776 () — Pollution February 9, 2012 40 / 47 Pollution Tax on Cars II Pollution Tax on Trucks Elasticity estimate (Greene 1992): 0.05 to 0.15 This says that each 1% increase in driving cost reduces driving by about 0.05% to 0.15% For ‡eet-average heavy-duty diesel truck: pollution cost Note: driving seems not very sensitive to cost: we say that driving is price-inelastic Pollution tax represents change of between 13% and 41% 53c//vm Operating costs for trucks: $1.30 – $4.20 /vm So a 63% increase in cost (due to pollution tax) would reduce driving by about 3% to 9.5% (63 0.05 = 3.2 ; 63 0.15 = 9.45). We know that truckers’behavior is much more responsive to price changes than private drivers So we would expect a fairly large response However, if tax varied by vehicle, there would also be an incentive to change the ‡eet structure. This is not addressed. Philip A. Viton CRP 776 () — Pollution February 9, 2012 41 / 47 Externalities — A Last Look Philip A. Viton CRP 776 () — Pollution February 9, 2012 42 / 47 February 9, 2012 44 / 47 Externalities Consider Urban expressway at capacity under current (not optimized) conditions BPR time function Free-‡ow speed: 65mph ; speed when q/c = 1 : 30 mph Cars : CA 2000 Fleet average PCE factor = 1 ; ESAL factor = 0 Value of time: $17.25 pce/hr Trucks : CA 2000 light-duty ‡eet average SU3 at GVW 55,000 lbs PCE factor: 1.5 Vehicle, Toll source $/vm Cars Congestion cost Durability cost Pollution cost Total external cost 1.23 0.00 0.03 1.26 Trucks Congestion cost Durability cost Pollution cost Total external cost 1.85 0.33 0.07 2.25 In‡ation: all values have been updated to roughly $$2010 Philip A. Viton CRP 776 () — Pollution February 9, 2012 43 / 47 Philip A. Viton CRP 776 () — Pollution Externalities — Caveats Externalities with Spread Peak These are …rst-round (peak) tolls only It is very likely that imposing them would lead to signi…cant changes in behavior Let’s suppose we get peak spreading so that the peak q/c ratio falls to 0.9 Philip A. Viton CRP 776 () — Pollution February 9, 2012 45 / 47 References D. L. Greene. “Vehicle use and fuel economy: How big is the ‘rebound’e¤ect?”. Energy Journal, 13 (1) : 117–143, 1992. Arnold M. Howitt and Alan Altshuler. “The politics of controlling air pollution”. In Jose Gómez-Ibañez, William B. Tye, and Cli¤ord Winston, editors, Essays in Transportation Economics and Policy, pages 223–256. Brookings Institution Press, Washington D.C., 1999. Kenneth A. Small and Camilla Kazimi. “On the costs of air pollution from motor vehicles”. Journal of Transport Economics and Policy, 29: 7–32, January 1995. United States Department of Commerce. Statistical Abstract of the United States. U.S. Government Printing O¢ ce, Washington, D.C., 2012. Philip A. Viton CRP 776 () — Pollution February 9, 2012 47 / 47 Philip A. Viton Vehicle, Toll source $/vm Cars Congestion cost Durability cost Pollution cost Total external cost 0.81 0.00 0.03 0.84 Trucks Congestion cost Durability cost Pollution cost Total external cost 1.22 0.33 0.07 1.62 CRP 776 () — Pollution February 9, 2012 46 / 47