1 using bass diffusion models to estimate product-specific net-to-gross ratios for market...
TRANSCRIPT
1
Using Bass Diffusion Models To Estimate Product-Specific Net-To-Gross Ratios for Market Transformation Programs
November 13, 2014
Residential PLA Program
2
Today’s Agenda
• RPP Program Overview and Market Transformation Review
• Review of Bass Diffusion Models
• Applying the Bass Model to Air Cleaners
• Caveats
Residential PLA Program
3
RPP Program Review
• Program Approach:‒ Utilize retailer engagement to increase the demand and supply of more energy
efficient appliance and consumer electronic products
• Measures: ‒ RPP offers a portfolio of consumer energy efficiency measures that are delivered
through the retail channel partners
• Incentive Structure:‒ Incentives are paid to participating retailers for each program-qualified product sold.
• Evaluation Framework:‒ While this mid-stream program is primarily a market transformation program, it
contains elements of a resource acquisition program.
Residential PLA Program
4
Market Transformation (MT) Review
• MT produces long-lasting, sustainable changes in the structure or functioning of a market achieved by reducing barriers to the adoption of energy efficiency measures to the point where continuation of the same publicly funded intervention is no longer appropriate in that specific market. (Prahl and Keating, 2014)
• Strategic MT is a program approach that uses ‘the tools of market transformation to make a deliberate and rigorous effort to intervene in [targeted], clearly defined markets.’ Strategic MT programs are expected to have market-transforming effects. (Prahl and Keating 2014)‒ This views MT as a proactive effort, not an aspirational outcome.
‒ Transforming markets can be hard –it may not work
‒ Not all markets can be transformed and not all acquisition programs will transform markets.
‒ Acquisition programs can support and be part of a strategic intervention.
‒ A strategic effort must be informed and focused to be actionable – and, frankly, evaluable.
‒ History has shown powerful examples of success
Residential PLA Program
5Program-Level Conceptualization of Net Savings
Total Savngs
Naturally Occurring Outside Program Savings (Total Savings minus Spillover and
Within Program Savings)
Non-Free Riding Program Participation(Within Program minus
Free Riding ProgramParticipation
Naturally Occurring Savings (also called
Baseline or Counterfactual)
Program-InducedSavings
Within ProgramSavings
Free Riding Program Participation
(Naturally OccurringInside Program
Strategic MarketTransformation
Spillover
Market Effects
Market Transformation
Strategic Market Transformation
Participating Retailers MWh
Total Program MWH
Nonparticipating Retailers MWh
Residential PLA Program
6
Today’s Agenda
• RPP Program Overview and Market Transformation Review
• Review of Bass Diffusion Models
• Product Example: Air Cleaners
• Caveats
Residential PLA Program
7A Traditional S-Shaped Diffusion of Innovation Curve
Residential PLA Program
8The Bass Model and Two Types of Adopters
• Innovators:‒ Adopt new products independent of the actions of others
‒ Their adoption rate is represented as ‘p’, or the “coefficient of innovation.”
• Imitators‒ Their adoption is influenced by the adoption rate of others ‒ Their adoption rate is represented as ‘q’, or the “coefficient of imitation.”
• Defining the Innovator – Imitator Relationship: ‒ Imitator first-time adoption rate is a linear function of the number of previous adopters.‒ Actual number of adopters limited by total market size, represented by m in the model.
Residential PLA Program
9
The Extended Bass Model
p q P A B p q P A B
Participating Retailer
Nonparticipating Retailer
With Without
• The basic Bass model has been extended to include price, advertising and assortment and associated elasticities.
• The extended model considers the role of price, advertising, assortment and consumer behavior (via p and q) as well as retailer behavior in product adoption.
• Provides a structured environment within which to systematically conduct sensitivity analysis using Monte Carlo simulations in order to converge on plausible NTGRs.
Residential PLA Program
10
NTGR Calculation
With Scenario Savings for
Participating Retailers
Without Scenario Savings for
Participating Retailers
Net Savings Participating
Retailers
With Scenario Savings for
Nonparticipating Retailers
Without Scenario Savings for
Nonparticipating Retailers
Net Savings Nonparticipating
Retailers
Total Net Program Savings
Total Gross Savings for
Participating Retailers
NTGR
Residential PLA Program
11
Model Focus
• This approach focuses on estimating retailer share of program-qualified models over time (rather than total volume).
• Program success based on increasing the share of program qualified products sold.
• The focus is on participating retailers with the expectation that non-participating retailers will, over time, be affected through causal mechanisms identified in the program theory and logic model.
Residential PLA Program
12
Extended Bass Diffusion Model
Nt = p P-eM Bg + (1+q – p)Nt-1 – (q/Af P-eM Bg)Nt-1 2 Af
Where
p= Coefficient of innovation (i.e.,external influence)
q= Coefficient of imitation (i.e., internal influence)
M= Total potential ratio of sales of energy-efficient products to total sales
N0= Percentage of energy-efficient products sold at time 0.
P0= Ratio of price for energy-efficient product to price for standard product at time 0
e= Coefficient of sensitivity (elasticity) for price term
A 0= Ratio of advertising expenditure with the program to without the program at time 0
f= Coefficient of sensitivity (elasticity) for advertising B0= Ratio of energy-efficient assortment with the program to without the program at time 0 g= Coefficient of sensitivity (elasticity) for assortment
Residential PLA Program
13
Today’s Agenda
• RPP Program Overview and Market Transformation Review
• Review of Bass Diffusion Models
• Product Example: Air Cleaners
• Caveats
Residential PLA Program
14
Product Example: Air Cleaners
•Technology Characteristics:‒UES: 120 kWh/yr.
‒EUL: 7 years
‒Incremental Cost: $18
• Market Characteristics:‒634,000 households with products in PG&E territory (~12% saturation).
‒90,500 in annual sales
‒23,000 sales from participating retailers (25% of total).
‒2,300 of these sales are program qualified (~10%).
Residential PLA Program
15Without Scenarios: Participating and Nonparticipating Retailers
• Represents the base case, i.e., business as usual
Parameter Without Analog/Source
p: 0.000000044
Room air conditioner (Jiang, Zhengrui, Frank Bass and Portia Isaacson Bass. "Virtual Bass Model and the left-hand data-truncation bias in diffusion of innovation studies." International Journal of Research in Marketing 23 (2006) 93–106. URL: http://www.bus.iastate.edu/zjiang/research/vbm_ijrm.pdf)
q: 0.5701
Room air conditioner (Jiang, Zhengrui, Frank Bass and Portia Isaacson Bass. "Virtual Bass Model and the left-hand data-truncation bias in diffusion of innovation studies." International Journal of Research in Marketing 23 (2006) 93–106. URL: http://www.bus.iastate.edu/zjiang/research/vbm_ijrm.pdf)
M: 0.5 Program Design & Theory
N0: 0.1 Residential Solutions Workbook (http://www.calmac.org/results.asp?t=2)
P0: 1.10 Assumed Incremental Cost
e: 0.10Typical short-term price elasticity (Economics: Private and Public Choice, James D. Gwartney and Richard L. Stroup, eighth edition 1997, seventh edition 1995.
r: 0.01
Desroches, Louis-Benoit. (2013). Trends in the cost of efficiency for appliances and consumer electronics . Presented at eceee 2013 Summer Study on energy efficiency, France, June 3-8, 2013 (http://www.escholarship.org/uc/item/6cv286q0) and expert judgement
A0: 1.00 Program Design & Theory
f: 0.425 20111006_BuR_Adv.Elasticities_WebApp1_Advertising Elasticity Database_AED.xlsx, cell O380
v: 0.00 Program Design & Theory
B0: 1.00 Program Design & Theory
g: 0.21 Eisend, Martin, "Shelf space elasticity: A meta-analysis", Journal of Retailing 90 (2, 2014) p. 175
Residential PLA Program
16With Scenario: Participating Retailers
• Builds on Without scenario which represents business as usual
Parameter With Source
p: 0.019999956
Room air conditioner (Jiang, Zhengrui, Frank Bass and Portia Isaacson Bass. "Virtual Bass Model and the left-hand data-truncation bias in diffusion of innovation studies." International Journal of Research in Marketing 23 (2006) 93–106. URL: http://www.bus.iastate.edu/zjiang/research/vbm_ijrm.pdf) & Program Design & Theory
q: 0.1299
Room air conditioner (Jiang, Zhengrui, Frank Bass and Portia Isaacson Bass. "Virtual Bass Model and the left-hand data-truncation bias in diffusion of innovation studies." International Journal of Research in Marketing 23 (2006) 93–106. URL: http://www.bus.iastate.edu/zjiang/research/vbm_ijrm.pdf) & Program Design & Theory
M: 0.2 Program Design & Theory
N0: 0 Residential Solutions Workbook (http://www.calmac.org/results.asp?t=2) & Program Design and Theory
P0: 0 Assumed Incremental Cost
e: 0Typical short-term price elasticity (Economics: Private and Public Choice, James D. Gwartney and Richard L. Stroup, eighth edition 1997, seventh edition 1995.
r: 0.025
Desroches, Louis-Benoit. (2013). Trends in the cost of efficiency for appliances and consumer electronics . Presented at eceee 2013 Summer Study on energy efficiency, France, June 3-8, 2013 (http://www.escholarship.org/uc/item/6cv286q0) and expert judgement & Program Design
A0: 0.2 Program Design & Theory
f: 020111006_BuR_Adv.Elasticities_WebApp1_Advertising Elasticity Database_AED.xlsx, cell O380 & Program Design and Theory
v: 0.02 Program Design & Theory
B0: 0.27 Program Design & Theory
g: 0 Eisend, Martin, "Shelf space elasticity: A meta-analysis", Journal of Retailing 90 (2, 2014) p. 175
Residential PLA Program
17With Scenario: Nonparticipating Retailers
• Builds on Without scenario which represents business as usual
Parameter With Source
p: 0.009999956
Room air conditioner (Jiang, Zhengrui, Frank Bass and Portia Isaacson Bass. "Virtual Bass Model and the left-hand data-truncation bias in diffusion of innovation studies." International Journal of Research in Marketing 23 (2006) 93–106. URL: http://www.bus.iastate.edu/zjiang/research/vbm_ijrm.pdf) & Program Design & Theory
q: 0.0799
Room air conditioner (Jiang, Zhengrui, Frank Bass and Portia Isaacson Bass. "Virtual Bass Model and the left-hand data-truncation bias in diffusion of innovation studies." International Journal of Research in Marketing 23 (2006) 93–106. URL: http://www.bus.iastate.edu/zjiang/research/vbm_ijrm.pdf) & Program Design & Theory
M: 0.03 Program Design & Theory
N0: 0 Residential Solutions Workbook (http://www.calmac.org/results.asp?t=2) & Program Design and Theory
P0: 0 Assumed Incremental Cost
e: 0Typical short-term price elasticity (Economics: Private and Public Choice, James D. Gwartney and Richard L. Stroup, eighth edition 1997, seventh edition 1995.
r: 0.025
Desroches, Louis-Benoit. (2013). Trends in the cost of efficiency for appliances and consumer electronics . Presented at eceee 2013 Summer Study on energy efficiency, France, June 3-8, 2013 (http://www.escholarship.org/uc/item/6cv286q0) and expert judgement & Program Design and Theory
A0: 0.07 Program Design & Theory
f: 020111006_BuR_Adv.Elasticities_WebApp1_Advertising Elasticity Database_AED.xlsx, cell O380 & Program Design and Theory
v: 0.01 Program Design & Theory
B0: 0.14 Program Design & Theory
g: 0 Eisend, Martin, "Shelf space elasticity: A meta-analysis", Journal of Retailing 90 (2, 2014) p. 175
Residential PLA Program
18Air Cleaner: Participating Retailers With & Without Program
0.000
0.100
0.200
0.300
0.400
0.500
0.600
0.700
0.800
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Reta
iler S
hare
Years
Without
With
Residential PLA Program
19NTGR, Sales, Benefits and Lifecycle Savings
• Net-To-Gross Ratio:
• Total Net Sales: 306,000
• Total NPV Benefits: $4,545,000
Source MWhTotal Net Market Lifecycle Savings 159,561 Total Net Direct Program Lifecycle Savings 97,193 Total Net Program Lifecycle Savings 256,754 Total Gross Program Lifecycle Savings 277,259 NTGR 0.93
Residential PLA Program
20Program-Level Conceptualization of Net Savings
Total Savngs
Naturally Occurring Outside Program Savings (Total Savings minus Spillover and
Within Program Savings)
Non-Free Riding Program Participation(Within Program minus
Free Riding ProgramParticipation
Naturally Occurring Savings (also called
Baseline or Counterfactual)
Program-InducedSavings
Within ProgramSavings
Free Riding Program Participation
(Naturally OccurringInside Program
Strategic MarketTransformation
Spillover
Market Effects
Market Transformation
Strategic Market Transformation
97,193 MWH
256,754 MWH
159,561 MWH
Source MWhTotal Net Market Lifecycle Savings 159,561 Total Net Direct Program Lifecycle Savings 97,193 Total Net Program Lifecycle Savings 256,754 Total Gross Program Lifecycle Savings 277,259 NTGR 0.93
Residential PLA Program
21
Today’s Agenda
• RPP Program Overview and Market Transformation Review
• Review of Bass Diffusion Models
• Product Example: Air Cleaners
• Caveats
Residential PLA Program
22
Caveats: Forecasting Is Inherently Uncertain
• We plan to periodically revisit model assumptions
• Incorporate new data as it is available
• Adjust model as appropriate
Residential PLA Program
23
Risk Management
Ó Martin Joseph and Alec Finney, AstraZeneca
From forecasts to informed decisions……
Most Likely
ForecastUncertaint
y
Assess Risk
Plan & Accept Risk
Monitor
Assumptions
Quality
Behavior
Residential PLA Program
24
Next Steps
• Incorporating Cal TF member feedback into NTGR methodology.oWould you like any additional information about the proposed estimation
approaches?
oDo you have any changes you would recommend to our proposed methods?
• Application of the NTGR method to all RPP product categories to incorporate into a Cal TF work paper.