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The Value of Strategic Oil Stocks Under Reduced U.S. Oil Imports
Presented at the meeting of the U.S. Association for Energy Economics,
July 29, 2013
Paul N. Leiby*, David Bowman**, Gbadebo Oladosu*, Rocio Uria-
Martinez*, Kenneth Vincent***
*Oak Ridge National Laboratory, **Econotech, ***U.S. Dept. of Energy
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1. Context and Objective· Changing oil market conditions and expectations
– Increases in tight oil production in U.S.– Decreasing consumption and imports of oil
· Interest in implications for U.S. oil security
· Strategic petroleum reserve benefits– Response to severe global and local shocks– Avoided GDP losses– Reduced oil import expenditures
· Evaluate how major increases in U.S. oil production will change benefits of oil stocks to U.S.
· Paper does not advocate any particular policy course of action, it speaks to contemporary debates.
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Outline – rest of talk
1. Context and objective
2. Approach (method and assumptions)
3. Results1. Comparison of world views: AEO2010 vs. 2013
2. Alternative future cases
3. Sensitivity to assumptions
4. Conclusions1. Key insight(s)
2. Limitations, Outstanding Issues for Future Work
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2. Approach
· Simulation model to quantify benefit of emergency stocks, with disruption– Focus on global crude oil supply shocks– Economic benefits are quantified in terms of
avoided GDP losses and import costs
· Compare benefits of stocks in different cases– coordinated use of U.S./IEA emergency stocks
))
~(())
~((
))~
(())~
((
0
0
wtIwtt
T
tt
T
tstkwtIstkwttt
SPCSPGDPE
SSPCSSPGDPEB
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Benefits of Emergency Oil Stocks: Simulation Framework
Reference Market
Conditions
Projected Spare Capacity
IEA Emergency Oil Stock
Capabilities
Non-IEA Member Emergency Oil
Stock Capabilities
Oil Supply Disruption
Module (Loss Quantities and Durations)
Market & Economic Response Module
(Price Elasticities of Supply, Demand &
GDP)
STOCKHOLDING BENEFITS MODEL
Post Disruption Supply, Demand
& Price Levels (before
IEA Response) Collective Benefits
-GDP Loss Avoidance-Oil Import Savings
INPUT
OUTPUT Post Disruption Supply, Demand
& Price Levels (after
IEA Response)
· Various reference world oil market conditions compared.
· Storage sizes, capabilities characterized
· 30 year time horizon Monte Carlo simulation, including the possibility of disruptions (generated using EMF probabilities).
· Economic Benefits of storage and drawdown estimated.
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Model Features and Inputs· Disruption risks (event sizes, durations, probabilities)
– Based on EMF/Huntington/Beccue 2005
· Price determination during shocks
· Market demand responses – short & long-run elasticities – higher range -0.11 to -0.25 annual elas., depending on disruption– lower range -0.05 to -0.19 (Dargay & Gately 2010)
· GDP responses to prices– Estimated range, based on prior studies and review of recent
literature (range -0.0316 to -0.0086, Mean -0.024, for U.S.)
· Other Data Sources– Global oil market projection based on EIA Annual Energy
Outlook (AEO)· base, undisrupted prices, supplies, demand, capacities, imports
– Stock levels: IEA
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Market Factors that Influence Stock Benefits under Increasing U.S. Oil production in the United States· Domestic production levels
· Consumption levels
· => Import levels
· Reference prices
· World oil supply at risk
· Spare production capacity (global)
· GDP growth rates
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U.S. Liquid Fuels Net Imports
0
5
10
15
20
25
2000 2005 2010 2015 2020 2025 2030 2035 2040
MM
BD
Year
U.S. Liquid Fuels Net Imports
AEO 2010 Base Case
AEO 2013 Base Case
AEO 2013 High Oil Price Case
AEO 2013 Low Oil Price Case
AEO 2013 Lower Oil Resources Case
AEO 2013 Higher Oil Resources Case
Historic
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World Oil Prices
0
50
100
150
200
250
300
2000 2005 2010 2015 2020 2025 2030 2035 2040
$201
0/B
BL
Year
Average Imported Refiners Acquisition Cost (World Oil Price)
AEO 2010 Base Case
AEO 2013 Base Case
AEO 2013 High Oil Price Case
AEO 2013 Low Oil Price Case
AEO 2013 Lower Oil Resources Case
AEO 2013 Higher Oil Resources Case
Historic
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OPEC Liquid Fuels Supply
20
25
30
35
40
45
50
55
60
2000 2005 2010 2015 2020 2025 2030 2035 2040
MM
BD
Year
OPEC Liquid Fuels Supply
AEO 2010 Base Case
AEO 2013 Base Case
AEO 2013 High Oil Price Case
AEO 2013 Low Oil Price Case
AEO 2013 Lower Oil Resources Case
AEO 2013 Higher Oil Resources Case
Historic
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In AEO2013, new supply sources diminish global reliance on risky supply
40%
45%
50%
55%
60%
65%
2000 2005 2010 2015 2020 2025 2030 2035 2040
%
Year
At Risk Supply as a Percent of World Supply
AEO 2010 Base Case
AEO 2013 Base Case
AEO 2013 High Oil Price Case
AEO 2013 Low Oil Price Case
AEO 2013 Lower Oil Resources Case
AEO 2013 Higher Oil Resources Case
Historic
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OPEC Spare Capacity
· Consistent with OPEC statements and some DOE projections: assume target ~2.8 MMBD
· In cases where OPEC supply declines, assume spare capacity expands, but trends back to target over 10 years.
0
1
2
3
4
5
6
7
8
2000 2005 2010 2015 2020 2025 2030 2035 2040
MM
BD
Year
OPEC Spare Capacity
AEO 2010 Base CaseAEO 2013 Base CaseAEO 2013 High Oil Price CaseAEO 2013 Low Oil Price CaseAEO 2013 Lower Oil Resources CaseAEO 2013 Higher Oil Resources CaseHistoric
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IEA Max Drawdown Rate as a Function of Size for Year 2013
1 2 3 4 5 6 7 80
5
10
15
20
25
302,496 1,612 754 453 244 93 13 0
Month
Max
Dra
wd
own
Rat
e (M
MB
D)
Total IEA Remaining Reserve Size (Month Beginning, MMB)
IEA Asia Pacific Industry Obligated Stocks
IEA Europe Industry Obligated Stocks
IEA Asia Pacific Public Stocks
IEA Europe Public Stocks
IEA North America Public Stocks
Industry Obligated Stocks
PublicStocks
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3. Results
· Results calculated and presented in terms of benefits timepaths, NPV and average dollar benefits per barrel per year, with confidence intervals
· Includes a reference case as well as sensitivity cases with different potential levels of U.S. oil output, consumption and imports
· Other benefits that are potentially important but more difficult to quantify not included
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0
10
20
30
40
50
60
70
80
90
100
2010 2015 2020 2025 2030 2035 2040 2045
$/B
BL
, Un
dis
cou
nte
d
Year
U.S. Benefits of IEA Emergency Oil Stockpiling
AEO 2010: Base Case
AEO 2013: Base Case
0
10
20
30
40
50
60
70
2010 2015 2020 2025 2030 2035 2040 2045
Bil
lion
s $2
010,
Un
dis
cou
nte
d
Year
Annual U.S. Benefits of IEA Emergency Oil Stockpiling
AEO 2010: Base Case
AEO 2013: Base Case
Annual U.S. Benefits of Emergency Oil Stockpiling: Implications of Evolving World View (AEO2010 vs AEO2013 Base)
Undiscounted time stream
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0
10
20
30
40
50
60
70
80
90
2010 2015 2020 2025 2030 2035 2040 2045
$/B
BL
/, U
nd
isco
un
ted
Year
U.S. Benefits of IEA Emergency Oil Stockpiling
AEO 2013: Base Case
AEO 2013: Lower U.S. Oil Resources Case
AEO 2013: Higher U.S. Oil Resources Case
0
10
20
30
40
50
60
70
2010 2015 2020 2025 2030 2035 2040 2045
Bil
lion
s $2
010,
Un
dis
cou
nte
d
Year
Annual U.S. Benefits of IEA Emergency Oil Stockpiling
AEO 2013: Base Case
AEO 2013: Lower U.S. Oil Resources Case
AEO 2013: Higher U.S. Oil Resources Case
Annual U.S. Benefits of Emergency Oil Stockpiling: AEO2013 Higher and Lower U.S. Resource Cases (with Base)
Undiscounted time stream
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0
100
200
300
400
500
600
AEO 2010: Base Case
AEO 2013: Base Case
AEO 2013: High Oil Price
Case
AEO 2013: Low Oil Price
Case
AEO 2013: Lower U.S. Oil Resources Case
AEO 2013: Higher U.S. Oil Resources Case
Bil
lion
s $2
010,
7%
Dis
cou
nt
Rat
eU.S. Benefits of IEA Emergency Oil Stockpiling
SPR Net Revenue
Avoided Net Import Costs
Avoided GDP Losses
U.S. Benefits of IEA Emergency Oil Stockpiling, Higher Demand Elasticities
Discount Rate 7%
NPV over 2013-2043
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0
200
400
600
800
1,000
1,200
1,400
1,600
AEO 2010: Base Case
AEO 2013: Base Case
AEO 2013: High Oil Price
Case
AEO 2013: Low Oil Price
Case
AEO 2013: Lower U.S. Oil Resources Case
AEO 2013: Higher U.S. Oil Resources Case
Bil
lion
s $2
010,
7%
Dis
cou
nt
Rat
eU.S. Benefits of IEA Emergency Oil Stockpiling
SPR Net Revenue
Avoided Net Import Costs
Avoided GDP Losses
U.S. Benefits of IEA Emergency Oil Stockpiling, Lower Demand Elasticities
Discount Rate 7%
NPV over 2013-2043
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Sensitivity Cases with Uncertainty Ranges(Annual U.S. Benefits per Barrel of Emergency Stockpiling,
Variations on AEO2013 Base Outlook)
0
20
40
60
80
100
120
140
Bas
e
50%
of
Bas
e
150%
of
Bas
e
75%
of
Bas
e
125%
of
Bas
e
25%
75%
1 M
MB
D
3 M
MB
D
0%
100% 0%
Base Sensitivity of GDP toOil Price
Price Elasticity ofDemand
Saudi Arabia SpareCapacity (Base: 50%)
Drawdown Threshold(Base: 2 MMBD)
Obligated IndustryStock Availability
(Base: 100%)
Non-U.S.IEA Stock
Availability(Base:100%)
$/B
BL
/Yr.,
Und
isco
unte
d
High Low Mean
Undiscounted U.S. Benefits in $/BBL/Yr of U.S. Storage.Higher demand elasticities case.
Base Sensitivity of GDP to Oil Price
SR Price Elasticity of Demand
Saudi Arabian Spare Capacity (base=50%)
Drawdown Threshold (Base: 2 MMBD)
Obligated Industry Stock Availability (Base: 100%)
Non-U.S. IEA Stock Availa-bility (Base: 100%)
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4. Conclusions
· Shock costs (& stock benefits) decrease with U.S. Imports, but not completely
· Core conclusion: – While wealth transfer caused by oil shocks is much-decreased in some futures, – The GDP impact of oil shocks could still prove greatly harmful so long as U.S. is
major oil consumer and integrated with global market
· Other unquantified benefits strategic oil stockpiles such as the deterrent capability and added foreign policy freedom that they give to importer governments, arguably unchanged by imports
· Sensitivity of these results – Short-run demand elasticity and GDP sensitivity to shock– Level of global spare oil production capacity– Threshold at which drawdowns are initiated
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Limitations, Outstanding Issues for Future Work
· Problems with understanding spare capacity, supplier risk – Need for renewed examination of global disruption
risks
· Importance of how market flexibility, and GDP sensitivity to shocks, may be evolving– Consider evidence of declining demand elasticities
· Hard to understand short-run elasticities for potential unprecedented large disruptions, emergency conditions
– Still need for further study of how macroeconomic sensitivity to oil shocks may be changing
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SUPPLEMENTARY SLIDES
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Recent Arguments that Oil Demand Becoming More Inelastic· Related work e.g. by Hughes et al., 2008; Dargay & Gately, 2010; Baumeister
and Peersman, 2011
· Multiple explanations are offered for this trend:– The low hanging fruit (of energy conservation/substitution) already picked
· Becomes more difficult to reduce quantities demanded as prices increase. · Elimination of large amount of dual-fired electric generation capacity, Low fraction used in electricity generation
– Increased/increasing fraction of oil consumed by non-OECD countries· non-OECD countries are (or, at least, have been until now) more inelastic than OECD
– Increased/increasing fraction of oil consumed in the transportation sector· more inelastic than the average elasticity across all uses (Dargay and Gately, 2010)
– As transportation fuel efficiency increases, less fuel-price-elastic (Hughes et al., 2008)
– Changes in the way oil trading is conducted. (Baumeister and Peersman, 2011)
– Complex interplay between the supply and demand sides of the market: · OPEC producers realized in the 80s that demand had become less responsive, slowed
capacity additions· Give shrinking spare capacity, consumers become more risk averse, precautionary
demand increases (Baumeister and Peersman, 2011)
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Update on compiling oil price-GDP elasticities: Surveyed recent literature, focused on 13 applicable studies
1. Alessandro Cologni and Matteo Manera (2008) Oil Prices, Inflation and Interest Rates in a Structural Cointegrated VAR Model for the G-7 Countries. Energy Economics 30 (2008) 856–888
2. Makena Coffman (2010) Oil price shocks in an island economy: an analysis of the oil price-macroeconomy relationship. Ann Reg Sci (2010) 44:599–620 DOI 10.1007/s00168-008-0271-6
3. Marcelo Sánchez (2011) Oil shocks and endogenous markups: results from an estimated euro area DSGE model. Int Econ Econ Policy (2011) 8:247–273 DOI 10.1007/s10368-010-0159-7
4. Surender Kumar (2009) The Macroeconomic Effects of Oil Price Shocks: Empirical Evidence for India. Economics Bulletin 29(1): 15-37
5. Luis J. Álvarez, Samuel Hurtado, Isabel Sánchez, Carlos Thomas (2010). The impact of oil price changes on Spanish and euro area consumer price inflation. Economic Modelling 28 (2011) 422–431
6. Lutz Kilian. A Comparison of the effects of exogenous oil supply shocks on output and inflation in the G7 countries. Journal of the European Economic Association 6 (1): 78-121
7. Levent Aydin, Mustaf Acar. Economic impact of oil price shocks on the Turkish economy in the coming decades: A dynamic CGE analysis. Energy Policy 39 (2011) 1722–1731
8. Limin Dua, Yanan He, Chu Wei. The relationship between oil price shocks and China’s macro-economy: An empirical analysis. Energy Policy 38 (2010) 4142–4151
9. Gert Peersman, Ine Van Robays. Cross-country differences in the effects of oil shocks. Energy Economics xxx (2011) xxx–xxx (In Press)
10. Christian Lutz, Bernd Meyer Economic impacts of higher oil and gas prices: The role of international trade for Germany. Energy Economics 31 (2009) 882–887
11. Iikka Korhonen, Svetlana Ledyaeva. Trade linkages and macroeconomic effects of the price of oil. Energy Economics 32 (2010) 848–856
12. Katsuya Ito. The Impact of Oil Price Hike on the Belarusian Economy. Transit Stud Rev (2010) 17:211–216 DOI 10.1007/s11300-010-0140-8
13. Ana Gómez-Loscos, Antonio Montañés, M. Dolores Gadea. The impact of oil shocks on the Spanish economy. Energy Economics 33 (2011) 1070–1081
25
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Study Data Covers mostly OECD economies
• Estimates were annualized• Substantial variation across studies and regions
26
-10%-8%-6%-4%-2%0%2%4%6%8%
10%C
anad
a
Fra
nce
Ger
man
y
Ital
y
Jap
an UK
US
A
Haw
aii
Eu
ro A
rea
Ind
ia
Sp
ain
Tu
rkey
Ch
ina
Sw
itze
rlan
d
Au
stra
lia
Nor
way
OP
EC
Ru
ssia
Net
her
lan
ds
Fin
lan
d
Bel
giu
m
Bel
aru
sia
Estimates of the Annual oil price-GDP elasticity from the recent literature (percent change in GDP for a doubling of the oil price)
High Low Mean
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Explored Extrapolation of Study Estimates to Other Countries/Regions on Basis of Determinants of Vulnerability
• Regressed GDP elasticities from study results against commonly hypothesized indicators of country vulnerability:
• Energy intensity of GDP (Energy/GDP)• Oil intensity (Oil Consumption/Energy consumption)• Oil imports (Oil Imports/Oil Consumption)
• These indicators can only partially explain variations in estimated GDP elasticities, not surprisingly
• R2 ~50%• Weak significance (except Oil intensity)
• Relationship may be explored further, but current version provides guidance for adjusting average IEA elasticities to Non-IEA.
27
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Oil Intensity of U.S. GDP
0%
1%
2%
3%
4%
5%
6%
2000 2005 2010 2015 2020 2025 2030 2035 2040
% V
alu
e S
har
e
Year
Oil Intensity of U.S. GDP
AEO 2010 Base CaseAEO 2013 Base CaseAEO 2013 High Oil Price CaseAEO 2013 Low Oil Price CaseAEO 2013 Lower Oil Resources CaseAEO 2013 Higher Oil Resources CaseHistoric
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EMF 2005 Semi-Continuous Disruption Probabilities
0%
5%
10%
15%
20%
25%
30%
0% 2% 4% 6% 8% 10% 12% 14% 16% 18% 20%
Pro
bab
ilit
y of
Dis
rup
tion
>=
X%
X% of Year 2020 World Supply
Inverse Cumulative Probability Disruption DistributionYear 2020
Saudi Arabia
Other Persian Gulf
West of Suez
Russia and Caspian Region
Total At Risk Supply
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EMF 2005 Discrete Disruption Probabilities
Event Probabilities Note: Size/Length 0.00% 20.00% 50.00% 90.00%Saudi Arabia 3 50% 2.74% 0.62% 0.22%Saudi Arabia 12 22% 0.43% 0.13% 0.07%Saudi Arabia 18 23% 0.21% 0.07% 0.06%Saudi Arabia Any 95% 3.38% 0.83% 0.35%West of Suez 3 32% 4.48% 0.82% 0.03%West of Suez 12 45% 2.78% 0.74% 0.03%West of Suez 18 14% 0.13% 0.06% 0.00%West of Suez Any 91% 7.38% 1.63% 0.07%Other Persian Gulf 3 34% 7.62% 0.78% 0.09%Other Persian Gulf 12 28% 1.80% 0.39% 0.05%Other Persian Gulf 18 27% 0.61% 0.19% 0.03%Other Persian Gulf Any 88% 10.03% 1.35% 0.16%Russia and Caspian Region 3 87% 2.16% 0.46% 0.00%Russia and Caspian Region 12 8% 0.03% 0.01% 0.00%Russia and Caspian Region 18 3% 0.00% 0.00% 0.00%Russia and Caspian Region Any 97% 2.18% 0.47% 0.00%
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Basis for Excess Capacity Assumptions· IEA, EIA, is consistent
with other estimates· "Saudi Arabia will continue with its
current plan to maintain spare production capacity at levels between 1.5 and 2.0 million barrels per day." EIA's International Energy Outlook 2011, p. 35
· "'Given that the kingdom has total production capacity of 12.5 million b/d, of which 72% is currently being exploited, actual production to end 2030 will be maintained at this assumed level within this available capacity,' he added. 'This will be enough to meet anticipated production [requirements] while maintaining through this period spare capacity that will reach 1.7 million b/d by 2030, within the kingdom's declared aim of maintaining spare capacity of 1.5-2 million b/d,' Moneef said." Platts - 2011
Average Effective Spare Capacity Share (2007-2011) Saudi Arabia 71%Other Persian Gulf 21%West of Suez 9%
Future Saudi Arabian Effective Spare Capacity (MMBD)
Source: IEA, Discussion May, 2013. Saudi Arabia 2.00Other Persian Gulf 0.58West of Suez 0.25OPEC Total 2.83
which gives us or constant levels.
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U.S. Liquid Fuels Supply
0
5
10
15
20
25
2000 2005 2010 2015 2020 2025 2030 2035 2040
MM
BD
Year
U.S. Liquid Fuels Supply
AEO 2010 Base CaseAEO 2013 Base CaseAEO 2013 High Oil Price CaseAEO 2013 Low Oil Price CaseAEO 2013 Lower Oil Resources CaseAEO 2013 Higher Oil Resources CaseHistoric
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U.S. Liquid Fuels Demand
0
5
10
15
20
25
2000 2005 2010 2015 2020 2025 2030 2035 2040
MM
BD
Year
U.S. Liquid Fuels Demand
AEO 2010 Base Case
AEO 2013 Base Case
AEO 2013 High Oil Price Case
AEO 2013 Low Oil Price Case
AEO 2013 Lower Oil Resources Case
AEO 2013 Higher Oil Resources Case
Historic
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0
10
20
30
40
50
60
70
80
90
2010 2015 2020 2025 2030 2035 2040 2045
$/B
BL
, Un
dis
cou
nte
d
Year
U.S. Benefits of IEA Emergency Oil Stockpiling
AEO 2013: Base Case
AEO 2013: High Oil Price Case
AEO 2013: Low Oil Price Case
0
10
20
30
40
50
60
2010 2015 2020 2025 2030 2035 2040 2045
Bil
lion
s $2
010,
Un
dis
cou
nte
d
Year
Annual U.S. Benefits of IEA Emergency Oil Stockpiling
AEO 2013: Base Case
AEO 2013: High Oil Price Case
AEO 2013: Low Oil Price Case
Annual U.S. Benefits of Emergency Oil Stockpiling: AEO2013 High and Low Oil Price Cases (with Base)
Undiscounted
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U.S. Benefits of IEA Emergency Oil Stockpiling are Asymmetrically Distributed(Mean and 95% Confidence Interval, AEO 2013 Base Case)
-50
0
50
100
150
200
250
300
350
400
450
500
550
2010 2015 2020 2025 2030 2035 2040 2045
Bil
lion
s $2
010,
Un
dis
cou
nte
d
Year
Annual U.S. Benefits of IEA Emergency Oil StockpilingMean and 95% Confidence Interval
Upper CI
Mean
Lower CI
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Variant Studies: Cost Benefit Analysis Crude Mix, Regional Oil Stocks, and/or Product Reserve
· General idea is to consider relative merits of– Crude Oil Stocks in U.S. Gulf region– Heating Oil Stocks in Northeast– Gasoline Stocks in West Coast, or inland from Gulf Coast– Alternative Regional Energy Security measures
· For Crude oil stocks, a related question is “Crude Mix”– Past ICF and ORNL studies indicated refinery flexibility sufficient to accommodate
wide crude mix, but these conclusions may no longer be valid
· Regional Petroleum Product Reserve – Early 1990s ORNL“RPPR” Study highlighted distinct
economic and risk implications of regional product stocks– 1997 revisitation– Major new study completed 2010-2011 focusing on Hurricane
risk
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2011 RPPR Study: Assess the need for a Southeast Refined Petroleum Product Reserve to address hurricane related product supply shortages.
Gulf Coast Hurricane Vulnerability
Petronius
Blind Faith
Thunder HawkThunder Horse
Devil’s Tower
URSAMars
Droshky
SS 332
Neptune
AtlantisShenzi
Mad Dog
PoseidonConstitution
Ticonderoga
Tahiti
CascadeChinook
Jack
St. Malo
LOOP
Auger
Perdido
Odyssey
Mo
un
taineer
Cap
line
U.S Department of EnergyStrategic Petroleum Reserve Program
Washington, D.C. 20585
Platform
Offshore Port
Refinery
Major Pipeline
SPR Site
Gulf of Mexico
11 Refiners Capacity
2,347 MBD
9 Refiners Capacity
2,325 MBD
7 RefinersCapacity
1,817 MBD
4 Refiners Capacity688 MBD
2 Refiners Capacity410 MBD
HOUSTON PASCAGOULA
CORPUS CHRISTI
FREEPORT
TEXAS CITY
PORT ARTHUR
LAKE CHARLES
BATON ROUGE
NEW ORLEANS
Bryan Mound
Big Hill
West Hackberry
Bayou Choctaw
SPR3315.PPT
Hurricane Activity
(Number, Timing, Category, Landfall
location)
Gulf Coast Refinery Outages
(Category, Ref. Proximity)
Product Price Increases
(With and Without RPPR)
GDP Losses
Expected Reduction in GDP Losses over 30 Years for 30 MMB RPPR by Region
0.06%($2.19b)
0.08%($1.33b)
0.04% ($1.05b)
0.05% ($0.24b)
0.08%($1.79b)
0.06%($1.65b)
0.07%($0.58b)
Analysis For Each Hurricane Season
Study Conclusion: Analysis supported a reserve of at least 30 million barrels.
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38 Leiby 11/06/2007
Stockpile Benefits Spillover, But “Public Good” Analogy is Inadequate
· Spillover means some “Global Public Good” properties– But many benefits, e.g. import cost savings and particularly
non-economic and indirect benefits, flow to stock owners
· Use care, Some game-theory analogies poor· E.g. “Common property” and “Prisoners Dilemma”
– “Access” (stock use) not guaranteed· Cooperating means sharing in drawdown decision
– “Free-riding” (non-cooperation) not a good strategy.
· Can show:– Gains of Free Ride much less than Losses if No Ride is
provided
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39 Leiby 11/06/2007
Summary: Insights from Past Single-country and Cooperative Stock Analyses
· Oil Market is Unstable, and Oil Shocks Matter– True for essentially all world consuming regions
· Economic value to stock expansion for many large regions
· Benefit-payoff structure supports (in some cases, requires) collaborative stockpiling initiatives.– Collective groups of countries sharing a reserve prefer larger
size and – achieve greater benefits than the sum of individual countries
acting alone
· Longer run demand reduction and flexibility worthwhile
· Diplomatic actions and relations are critical
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Main Assumptions
· Disruption Risks– EMF/Huntington/Beccue 2005
· Demand Elasticities
· GDP response to prices– Estimated range, based on prior studies and review of
recent literature (range -0.0316 to -0.0086, Mean -0.024)
· Excess capacity ~2.8 MMBD
· Drawdown threshold: 2.0 MMBD
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Annual per Barrel U.S. Benefits of Emergency Stockpiling for a Variety of Sensitivities· Sensitivity to GDP Elasticity w.r.t. Price
– An important sensitivity, Base case assumes triangular distribution based upon meta study.
· Price Elasticity of Demand– Also important. Base case from Dargay and Gately (2010). Several studies points towards recent move to oil
demand being more inelastic.
· Saudi Arabia Spare Capacity– Uncertainty surrounds size and likely of Saudi drawdown. Increase in draw % reduces the need for reserves
and therefore the benefits.
· Drawdown Threshold– Base assumes all net disruptions above a hypothetical 2 MMBD threshold addressed if possible. Raising
draw threshold increases exposure to smaller but more numerous and still damaging disruptions. Lowering the threshold results in more frequent intervention.
· IEA Obligated Industry Stocks– Assumed to be ~800 MMB and capable of very fast drawdown. Diminishing returns to emergency stocks
means that increasing availability is less beneficial than damage from reducing it.
· Non-U.S. Emergency Stock Availability– U.S. acts alone. Loss 1,300 MMB Non-U.S. IEA stocks (Public + Available Industry Stocks) results in loss of
spillover benefits and reduced ability to cover disruptions in terms of both size and length.
42 Managed by UT-Battellefor the Department of Energy
Evolving Demand Elasticity and Market Responsiveness [???draft]
· Factors cited for declining demand elasticity (e.g. Hughes et al., 2008; Dargay and Gately, 2010)– xxx
· Possible sources of increasing demand elasticity– Dahl’s cross-country comparison finds gasoline demand elasticity increases with price and with income (diesel,
she elasticities decrease with income)– A significant increase in dual/flex-fueled vehicles (e.g., FFVs, PHEVs) could be another mechanism for
increasing oil demand elasticity
· Note IMF 2011 annual elasticity value
· World oil demand elasticities Frequency of data used Period of analysis Oil demand elasticity
· Dargay and Gately (2010) plus IEO 2011 Annual 1971-2008 -0.24 (constructed value for elasticity in production 2013)
· Baumeister and Peersman (2011) Quarterly 1974-2010 -0.1 (estimated posterior median for elasticity in production 2010)
– -0.26 (average posterior median for elasticity in production 1974-2010)– show notably declining demand elasticities in recent years (about -0.1 in 2005-2010)
· Killian and Murphy (2012) Monthly 1973-2008 -0.26 (posterior median for elasticity in use for 1973-2008)[1]
· Plenty of support for the idea of decreasing elasticities over the last few decades– Alternative view from recent Killian and Murphy 2012 paper is an outlier– Baumeister and Peersman (2011) uses similar approach focusing on time-varying elasticity, and show notably
declining demand elasticities in recent years (about -0.1 in 2005-2010)