Encouraging Energy Efficiency: Product Labels Facilitate Temporal Tradeoffs David J. Hardisty,...
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![Page 1: Encouraging Energy Efficiency: Product Labels Facilitate Temporal Tradeoffs David J. Hardisty, University of British Columbia Yoonji Shim, University of.](https://reader036.fdocuments.in/reader036/viewer/2022062315/5697c02b1a28abf838cd8b52/html5/thumbnails/1.jpg)
Encouraging Energy Efficiency: Product Labels
Facilitate Temporal TradeoffsDavid J. Hardisty, University of British Columbia
Yoonji Shim, University of British ColumbiaDaniel Sun, University of Calgary
Dale Griffin, University of British Columbia
![Page 2: Encouraging Energy Efficiency: Product Labels Facilitate Temporal Tradeoffs David J. Hardisty, University of British Columbia Yoonji Shim, University of.](https://reader036.fdocuments.in/reader036/viewer/2022062315/5697c02b1a28abf838cd8b52/html5/thumbnails/2.jpg)
Co-authors
Dale Griffin Yoonji Shim Daniel Sun
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An Economic Mystery
Price: $0.97Watts: 60Lumens: 820
Price: $17.99Watts: 13Lumens: 800(Saves $188 on energy over lifetime of the bulb)
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Consumer don’t know? Or don’t care?
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Background
Future POTSJDMFuture President of the Society for Judgment and Decision Making
• Information gap?• Education about energy efficiency generally improves knowledge but does
NOT change choices (Abrahamse et. al 2005)• …but operational cost information improves choices
(Camilleri & Larrick, 2014; Min et. al, 2014; Larrick & Soll 2008)
• People don’t care about the future?• People have really high discount rates (Frederick et. al, 2002)• For real-world energy efficiency choices, too (Hausman, 1979) • Discount future gains more than future losses
(Thaler, 1981; Hardisty & Weber 2009)
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Our Theory
• Consumers have a latent goal to minimize long term dollar costs• “10-year energy cost” labels activate this goal, leading to more energy
efficient choices
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Outline
• Study 1a & 1b: 10-year cost labelling in the field and the lab• Study 2: Measuring long-term cost goals• Study 3: Alternative activation of long-term cost goals• Study 4: Goal specificity• Other studies: Boundary conditions
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Study 1a: Field Study
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Study 1: Methods
• Run in 5 drug stores over 6 weeks• Two types of lightbulbs on store endcaps:• 72w Halogen bulb (2-pack) for $4.29• 23w CFL bulb (2-pack) for $12.99
• IV: Control label vs “10-year energy cost” label• Labels switched once per week, counterbalanced across stores• DV: proportion of CFLs purchased
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Study 1 Methods: Control Labels
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Study 1 Methods: 10-year Energy Cost Labels
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Study 1a: Results
12% chose efficient option
48% chose efficient option
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Study 1b
• Online survey of 147 residential energy customers in Vancouver• Partnered with local energy company, BC Hydro• Products: Light bulbs, furnaces, TVs, vacuums
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Study 1b methods
• Price: $999.95• Estimated Electricity Use (W): 121• Standby energy consumption: 0.2w• Brand: Samsung• Size: 50”• Resolution: 1080p
• Price: $749.95• Estimated Electricity Use (W): 181• Standby energy consumption: 0.4w• Brand: Samsung• Size: 50”• Resolution: 1080p
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Study 1b methods
• Price: $999.95• 10-year estimated cost: $600• Estimated Electricity Use (W): 121• Standby energy consumption:
0.2w• Brand: Samsung• Size: 50”• Resolution: 1080p
• Price: $749.95• 10-year estimated cost: $1,000• Estimated Electricity Use (W): 181• Standby energy consumption:
0.4w• Brand: Samsung• Size: 50”• Resolution: 1080p
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Study 1b: Results
Furnace Light Bulb TV Vacuum0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1 Control
10-Year CostE
nerg
y ef
fici
ent c
hoic
e pr
opor
tion
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Study 1 Discussion
• 10-year energy cost labels are effective
• Why? • Goal activation?• Planning horizon?• Information provision?• Attribute scaling?
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Study 2: Measuring goals
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Study 2: Methods
• Similar to Study 1b, but ran on Mturk• Added 1-year cost and 5-year cost conditions, and three process
questions:• As you consider purchasing a new [TV], what product features are
most important to you? Please list the three most important product features. • When purchasing a new [TV], roughly how far ahead do you plan?
(1 = not at all, 2 = up to one week, …., 7 = 10 years or more)• Please imagine that you purchased the [TV] above. How much do you
estimate your household would spend on energy to use this [TV] in your home, over a period of 10 years? $_______
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Light Bulb TV Furnace Vacuum0
0.10.20.30.40.50.60.70.80.9
1Cntrl1yr5yr10yr
Prop
ortio
n ch
oosi
ng th
e ef
-fic
ient
opti
on
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Light Bulb TV Furnace Vacuum0
0.20.40.60.8
11.21.41.61.8
2Cntrl1yr5yr10yr
Goa
l Pro
min
ence
: lo
ng-t
erm
cos
t
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Light Bulb TV Furnace Vacuum1
1.5
2
2.5
3
3.5
4
4.5Cntrl1yr5yr10yr
Plan
ning
hor
izon
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Light Bulb TV Furnace Vacuum0123456789
10Cntrl1yr5yr10yrGiven
Ln lo
ng te
rm c
ost e
stim
ation
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Modeling
Bulb TV Furnace Vacuum
p r2 p r2 p r2 p r2
cost estimate .43 .00 .03 .02 .39 .00 .87 .00
planning horizon .002 .04 .22 .01 .59 .00 .08 .01
goal prominence <.001 .11 <.001 .08 <.001 .06 <.001 .15
condition .01 .05 .25 .02 .24 .02 .09 .03
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10-year cost labelling
Long-term cost goal prominence
Energy efficient choices
(β = 0.66, p < .001)
(β = 0.19, p < .001)
β = 0.15, p < .001
(β = 0.25, p < .001)
β = 0.15, p = .01
Study 2: Mediation
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Study 2 Discussion
•10-yr energy cost labeling is effective•Why? • Activates energy cost reduction goal (biggest r2) • Improved cost estimation is NOT an important factor for
influencing choices• Attribute scaling (10yr vs 5yr vs 1yr) is also somewhat
helpful•But is “goal activation” really driving choices?
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Study 3: Alternative goal activation
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Study 3: Methods
• 184 MTurkers• 3 conditions: control, 10-year cost, and subjective estimation:• "How many dollars do you estimate you would spend on energy costs to use
product A, over a period of 10 years?“ $_______• "How many dollars do you estimate you would spend on energy costs to use
product B, over a period of 10 years?“$_______
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Study 3: Results
Furnace Light Bulb TV Vacuum0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1 Control 10-Year Subjective EstimationE
nerg
y E
ffic
ient
Cho
ice
Prop
orti
on
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Study 3 Discussion
• Subjective estimation has the same effect at 10-year cost labels• Strong evidence that information provision is not a necessary
condition
• Is this just attribute salience? Or attribute counting? • What if we frame as:• Dollar savings• kWh energy savings • % energy savings
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Study 4: Goal Specificity
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Study 4: Methods
• 1,155 Mturkers• Lightbulbs only (same bulbs as Study 1a)• 1 (control) + 2 (positive vs negative) x 3 (dollars, kWh, % energy)
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Study 4: Control
• Price: $4.29• Lumens: 1490• Watts: 72• Number of bulbs: 2
• Price: $12.99• Lumens: 1600• Watts: 23• Number of bulbs: 2
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Study 4: 10-year dollar cost
• Price: $4.29• 10-year energy cost: $207• Lumens: 1490• Watts: 72• Number of bulbs: 2
• Price: $12.99• 10-year energy cost: $66• Lumens: 1600• Watts: 23• Number of bulbs: 2
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Study 4: 10-year dollars saved
• Price: $4.29• 10-year energy saved: $81• Lumens: 1490• Watts: 72• Number of bulbs: 2
• Price: $12.99• 10-year energy saved: $222• Lumens: 1600• Watts: 23• Number of bulbs: 2
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Study 4: 10-year energy cost
• Price: $4.29• 10-year energy cost: 1837 kWh• Lumens: 1490• Watts: 72• Number of bulbs: 2
• Price: $12.99• 10-year energy cost: 586 kWh• Lumens: 1600• Watts: 23• Number of bulbs: 2
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Study 4: 10-year energy saved
• Price: $4.29• 10-year energy saved: 718 kWh• Lumens: 1490• Watts: 72• Number of bulbs: 2
• Price: $12.99• 10-year energy saved: 1969 kWh• Lumens: 1600• Watts: 23• Number of bulbs: 2
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Study 4: 10-year % cost
• Price: $4.29• 10-year energy cost: 28% less• Lumens: 1490• Watts: 72• Number of bulbs: 2
• Price: $12.99• 10-year energy cost: 77% less• Lumens: 1600• Watts: 23• Number of bulbs: 2
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Study 4: 10-year % saved
• Price: $4.29• 10-year energy saved: 28% more• Lumens: 1490• Watts: 72• Number of bulbs: 2
• Price: $12.99• 10-year energy saved: 77% more• Lumens: 1600• Watts: 23• Number of bulbs: 2
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Study 4b: Results
Control $ Cost kWh Cost
% Cost $ Saved kWh Saved
% Saved
0
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0.2
0.3
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0.5
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0.7
0.8
0.9
1
Ener
gy e
ffici
ent c
hoic
e pr
opor
-tio
n
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Study 4: Discussion
• Goal activation is specific to dollar costs• Also a small effect of attribute salience (or attribute counting)
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Other studies: Boundary Conditions
• Not effective when the baseline is already ~80% or higher• Not effective if 10-year labels are only applied to two options in a
multi-option display • but is effective if 10-year labels put on all items in multi-item display
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Conclusions
• 10-year energy cost labelling is an effective, low-cost way to increase energy efficient choices • Win-win-win• Easy to scale up
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Thank You!
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Study 3 Subjective Estimates: Wisdom of crowds?
Experimenters' Estimate
Participants' Estimate
Efficient Inefficient Efficient Inefficient
Furnace $5,500 $7,500 $5,511.70 $6,178.66
Light Bulb $51.87* $239.40 $180.92* $353.38
TV $600 $1,000 $882.86 $1,146.91
Vacuum $60.97* $120.66* $433.27* $586.93*