Estimating the impact of monetary incentives on PEV buyers Alan Jenn Scott Hardman Gil Tal. STEPS Fall 2017 Symposium

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Estimating the impact of monetary incentives on PEV buyers Alan Jenn Scott Hardman Gil Tal STEPS Fall 2017 Symposium

Goal: A better understanding of incentive impacts We employ a stated preference (survey based) modeling approach using a comprehensive survey dataset of over 10,000 respondents Provides a more nuanced view of incentives than would normally be available through market-based revealed preference data Our analysis focuses on changes in purchase intention due to the presence of incentives

CVRP based surveys 2015-2017 N=14,000 2000 1500 1000 500 0 CHEVROLET VOLT NISSAN LEAF TESLA MODEL S TOYOTA PRIUS PLUG IN FORD C MAX ENERGI FORD FUSION ENERGI BMW I3 FIAT 500E CHEVROLET BOLT EV VOLKSWAGEN E GOLF TOYOTA RAV4 EV TOYOTA PRIUS PRIME FORD FOCUS ELECTRIC CHEVROLET SPARK EV OTHER HONDA FIT EV KIA SOUL EV HONDA ACCORD PLUG IN HYBRID AUDI A3 SPORTBACK E TRON MERCEDES BENZ B CLASS ELECTRIC DRIVE CADILLAC ELR TESLA MODEL X MITSUBISHI I MIEV VOLVO XC90 CHRYSLER PACIFICA HYBRID Count Survey Year 2015 2016 2017 Vehicle Model

Likert Scale and Slider Bars: Estimating the Importance of Incentives

Design Game web survey (SP survey)

Importance of Incentives

Claims for federal credits varies widely The line indicates what a respondent should have received The downward bias is likely a result of individuals who are unable to claim the full tax credit Incorrect claims (particularly upward biased) may still be processed unless audited by the IRS Federal Credit Amount (received, thousands of $) 15 10 5 0 664 25 664 180 1 3 4 5 6 7 Federal Credit Amount (actual, thousands of $) 3553

What are the two most importance incentives? Respondents rate the importance of a number of incentives to their purchase decision The graph depicts respondents top two incentives The federal tax credit, CVRP, and HOV access account for 95.7% of top two incentives Second most important incentive Workplace Charging Utility Credit State Rebate Preferred Parking Other Local Rebate HOV Access Home Charger Subsidy Federal Tax Credit Discounted Parking Discounted Parking Federal Tax Credit Home Charger Subsidy HOV Access Local Rebate Other Preferred Parking Most important incentive State Rebate Utility Credit Workplace Charging n 500 1000 1500 2000

Distinct clusters of incentive importance Only HOV are important All incentives are important HOV.Access Federal.Tax.Credit HOV.Access Age Workplace.Charging Preferred.Parking State.Rebate Local.Rebate Size of Cluster 227 604 179 401 117 State.Rebate Federal.Tax.Credit HouseholdSize Size of Cluster 183 322 176 217 292 333 Income.Index Discounted.Parking Home.Charger Monetary and HOV are important Education.Index Incentives vs Demographics

Purchase Intentions

Understanding purchase intentions via MNL analysis Removing an incentive can affect purchase decision in the following ways: No change Not to buy/lease a vehicle at all Instead purchase a conventional vehicle Instead purchase a non plug-in hybrid Instead purchase another plug-in vehicle Other How do these decisions change across factors of: % discounted from incentive Buyer generation PEV Type Demographics: age, income, education, household size The following slides display graphical summaries of large scale models that incorporate all of the mentioned factors

The federal tax credit affects various PEVs differently The discount percentage has a very large difference in purchase behavior: $7,500 is only 7% of a Tesla Model S: 65% - No change $7,500 is 23% of a Nissan Leaf: 40% - No change, 20% - Won t buy/lease a car, 15% - Buy conventional vehicle Probability 0.8 0.6 0.4 0.2 0.0 0.00 0.25 0.50 0.75 1.00 Discount Change in purchase decision A conventional vehicle Another plug in vehicle Not to buy lease a vehicle at all A hybrid non plug in vehicle No change Other

Age appears to be an important determinant Even controlling for income, older respondents are substantially less likely to change their minds without the incentive compared to younger respondents Substitution between conventional vehicle and not buying a car switches at older age ranges Probability 0.6 0.4 0.2 0.0 20 40 60 80 Age Change in purchase decision A conventional vehicle Another plug in vehicle Not to buy lease a vehicle at all A hybrid non plug in vehicle No change Other

Slight differences by PEV type There are significant differences between PEV decision types when removing the incentive PHEVs are more likely to buy a hybrid vehicle and a conventional vehicle BEVs are more likely to not buy/lease a vehicle at all Probability 0.6 0.4 0.2 0.0 No change Another plug in vehicle A hybrid (non plug in) vehicle A conventional vehicle Other Not to buy/lease a vehicle at all Change in purchase decision PEV Type BEV PHEV

Incentives are more important for new generation of buyers Newer generations of buyers are more likely to change their decision about purchasing a PEV without the federal tax credit Respondents are increasingly likely to buy a conventional vehicle or not buy/lease a vehicle at all as time passes Probability 0.6 0.4 0.2 0.0 2 4 6 8 10 Model.Year Change in purchase decision A conventional vehicle Another plug in vehicle Not to buy lease a vehicle at all A hybrid non plug in vehicle No change Other

Incentives are becoming more important over time Probability 0.8 0.6 0.4 Model Year 2010 Model Year 2016 ~25% discount for Leaf/Volt, take the incentive away: In 2010 50% don t change their minds In 2016 35% don t change their minds Probability 0.8 0.6 0.4 ~25% discount for Leaf/Volt, take the incentive away: In 2010 15% don t buy a car In 2016 25% don t buy a car 0.2 0.2 0.0 0.0 0.00 0.25 0.50 0.75 1.00 Vehicle Discount 0.00 0.25 0.50 0.75 1.00 Vehicle Discount Change in purchase decision Change in purchase decision No change A hybrid (non plug in) vehicle Other No change A hybrid (non plug in) vehicle Other Another plug in vehicle A conventional vehicle Not to buy/lease a vehicle at all Another plug in vehicle A conventional vehicle Not to buy/lease a vehicle at all

Other findings of interest Unsurprisingly, the federal tax credit has substantially greater influence on purchase decisions than the CVRP When removing either the federal credit or CVRP: PHEVs are more likely to switch to conventional vehicles or hybrids BEVs are more likely to forego purchasing/leasing a vehicle Neither household size or education provide much variation in purchase decision changes

Discussion and take-aways The importance of incentives is growing over time. When can we expect it to change? What is the impact of lower MSRP? Larger PEVs? Lower income household who buy PEVs? Do we need to incentivize BEVs more than PHEVs?

Thank you