McManus.Industry.Environment.Economy.Final.ppt
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Transcript of McManus.Industry.Environment.Economy.Final.ppt
The Government, the Auto The Government, the Auto Industry, the Environment, Industry, the Environment,
and the Economyand the EconomyWalter McManus
Automotive Analysis Division
University of Michigan Transportation Research Institute
Physical infrastructurePhysical infrastructure
America’s Road NetworkAmerica’s Road Network
Ben Fry
US Suburban Population and Vehicles Grew Together, 1900 to 2000
0
10
20
30
40
50
60
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
Perc
en
t of
Pop
ula
tion
0
100
200
300
400
500
600
700
800
900
Veh
icle
s p
er
1,0
00
Pers
on
sPercent of Population in Suburbs
Census Years
Vehicles per 1,000 Persons
Sources: US Census Bureau and Ward's
Legal infrastructureLegal infrastructure
Patents, trademarks, and IP Business laws (including franchise) Bail outs (1980 and 2009)
Ownership (GM & Chrysler) Loans (Ford)
Regulation (more later) National Innovation System
National Innovation SystemNational Innovation System
Education of workforce Basic research University of Michigan $1 billion in federal
research (out of total UM budget ~$6.5b) National energy labs
Safety and emissions
• NHTSA and EPA
Theories of regulation
• Public interest theory
• Capture theory
Public interest theory
• Helping hand
• Markets often fail due to externalities and monopoly
• Governments are capable of correcting market failure through regulation
Public interest theory
• Clean Air Act established clear, measurable targets based on science
• EPCA and EISA was (intentionally) ambiguous
Capture theory
• Invisible hand
• Markets
• Courts
• Government regulators are incompetent, corrupt and captured
National Program
• History– Calif. 1960– Clean Air Act 1970– Energy Policy and Conservation Act 1975
• 2007– Energy Independence and Security Act
NHTSA
EPA
ARB
Can youCan youname that name that vehicle?vehicle?
Industry-Wide Improvements in Fuel Economy and Detroit 3 Profits:Sensitivity Analysis
Walter McManus
Automotive Analysis Division
University of Michigan Transportation Research Institute
We used a future-market simulation to estimate the impacts of higher industry-wide fuel economy requirements. Both supply and demand are affected.
• Baseline “Middle” Market Scenario • Fuel Economy Improvement Scenarios
• 30% (CAFE 2020 or Pavley 2016)• 40%• 50%
• Consumer Demand for Vehicles with Higher Fuel Economy
• Cost of Supplying Vehicles with Higher Fuel Economy• Sensitivity Analysis
• Uncertain Factors• Tornado Diagrams
• Findings
We began our analysis with a scenario that represents a mid-range outlook for the market in the near future.
Sales by Automaker & Segment, Future-Market Mid-Range Scenario
Thousands of Units
Segment Chrysler Ford GM Honda Nissan Toyota Others All
Luxury Car 44 85 237 65 65 199 239 934
Midsize Car 242 403 711 513 272 703 894 3,739
Small Car 131 340 467 487 327 742 606 3,100
Luxury CUV 0 72 44 55 23 76 0 269
Midsize CUV 83 158 178 90 129 137 259 1,035
Small CUV 92 344 400 200 83 307 137 1,563
Minivan 292 0 0 127 0 106 45 570
Large Pickup 411 612 654 0 0 114 0 1,791
Small Pickup 29 0 65 21 96 137 0 349
Large Luxury SUV 0 31 26 0 0 25 51 133
Large SUV 0 52 244 0 0 20 12 327
Midsize SUV 160 102 184 0 94 69 43 651
Midsize Luxury SUV 0 0 0 0 0 0 349 349
Small SUV 94 0 0 0 0 0 11 105
Large Van 15 140 135 0 0 0 0 289
All Segments 1,592 2,339 3,345 1,559 1,089 2,634 2,646 15,204
Source: The Planning Edge, April 2009
Consumer demand was modeled as a system of demand equations (one equation for each automaker by segment market entry).
Expected Fuel Costs of Operating for Entry n
(seg i & oem j)
First YearFuel Price
Retail Price for Entry n
(seg i & oem j)
Consumer Demand for Entry m
Vehicle Lifetime
Consumer Discount
Rate
First Year Miles Driven
Rate of Change in Miles per Year
Expected Fuel Price Growth
Overall Discount Rate
Effective Consumer Price for Segment i from Automaker j
Effective Consumer Price for Segment i from Automaker j
Effective Consumer Price for Segment i from Automaker j
Effective Consumer Price for Segment i from Automaker j
Effective Consumer Price for Entry n(seg i & oem j)
Fuel Economy (MPG) for Entry n
(seg i & oem j)
An industry-wide increase in vehicle fuel economy has impacts on OEMs’ and dealerships’ product costs, on product prices, and on consumers‘ willingness to pay for vehicles—leading to changes in profits.
Profits
DirectIndirect Fuel Cost
RevenuesVariable Costs
VehicleFuel Economy
Price
Vehicles
We used information from J.D. Power and Associates’ Power Information Network (PIN) to define Retail Price, Gross Profit, and Direct and Indirect Costs at the level of the combined enterprise of
an automaker and its dealerships.
• Vehicle Price Less Customer Cash Rebate
• + Customer Cash Rebate
• + Dealer-Installed Options Price
• = Dealer’s Price
• Factory-Configured Vehicle F.O.B.
• + Freight, Advertising, & Holdback
• = Dealer Invoice
• + Cost of Dealer-Installed Options
• = Dealer’s Variable Cost
• Dealer’s Price
• - Dealer’s Variable Cost
• = Dealer’s Gross Profit
• Factory-Configured Vehicle F.O.B.• - OEM’s Variable Vehicle Cost• - Customer Cash Rebate• = OEM’s Gross Profit
Evidence that automakers underestimate the value of fuel economy to consumers leads us to reject the assumption that fuel
economy is optimized in the baseline scenario.
Fuel Economy Improvement:Supply Price and Consumer Willingness to Pay
0% 20% 40% 60% 80% 100% 120%
% Improvement in MPG
$ p
er
Vehic
le
Supply Price
True WTP
Assumed WTP
A
B
D
C
RP0
WTP0
The improvement in fuel economy raises both the vehicle marginal cost and the vehicle marginal revenue curves, and vehicle unit sales could rise or fall,
depending on which marginal curve shifts more. (If we had assumed that in the baseline fuel economy were optimized, then unit sales could only fall.)
Vehicle Marginal Cost & Marginal Revenue
Vehicle Unit Sales
$ /
Ve
hic
le
MR1
MC1
Q1Q0
MR0
MC0
We estimated the detailed impacts on the industry of three levels of inprovement in industry-wide fuel economy: 30%, 40%, and 50%. Industry total gross profit increases relative to the base case in all three scenarios; Detroit 3 gross profits increase roughly $3 billion (8%) relative to the base case in all three scenarios.
Market MPG 26.9 35.0 37.7 40.4
Detroit 3 $39.5 $2.9 $3.2 $3.1
Japan 3 $27.1 $0.9 $0.7 $0.3
Others $18.8 $0.9 $1.0 $1.2
Market Total $85.3 $4.6 $4.9 $4.6
Detroit 3 7,276 527 521 446
Japan 3 5,282 72 (27) (171)
Others 2,646 145 147 133
Market Total 15,204 408 641 408
Sales and Gross Profit ImpactsBase 30% 40% 50%
Gross Profits (billions)Scenario O/(U) Base
base 30% 40% 50%
Vehicle Sales (000)Scenario O/(U) Base
Base 30% 40% 50%
In the auto industry model of fuel economy, costs, demand, and gross profits we identified 11 future-market factors that cannot be predicted with certainty. Analysts such have widely different prior beliefs that most empirical evidence is unpersuasive. Our approach is to do a sensitivity analysis for these factors in each of the three scenarios.
Sensitivity Analysis: Influence Factors Subject to Uncertainty
FactorsRange Used in Sensitivity
AnalysisUnfavorable Base Favorable
1. Fuel economy cost curves multiplier 2.00 1.00 0.502. Indirect cost multiplier 2.20 1.50 1.003. Profit Margin on new technology 0% 5% 10%4. Price of gasoline ($/gallon) $1.50 $3.00 $7.005. Real rate of change in gasoline price -2.0% 0.0% 5.0%6. Rate at which miles driven falls 8.0% 5.2% 2.0%7. Consumer real discount rate 18.0% 7.0% 2.0%8. 1st year miles driven (miles) 10,000 15,000 18,0009. Relative consumer response to operating v capital costs
0.33 1.00 3.00
10. Horizon for valuing expected operating cost (years)
10 15 20
11. Industry size (millions of units) 14.2 15.2 16.3
Profits
DirectIndirect Fuel Cost
RevenuesVariable Costs
VehicleFuel Economy
Price
Vehicles
Tornado 30%
Tornado 40 %
Tornado 50%