DOI: 10.25338/b80p8d
title: The role of gender in consumer markets for electric vehicles

description: This dataset contains data from a survey of new-car buying households in
 13 US states conducted December 2014 to January 2015. The original study
 is described in these technical reports: Kurani, K S., N. Caperello, J.
 TyreeHageman New Car Buyers' Valuation of Zero-Emission
 Vehicles: California, Institute of Transportation Studies, University of
 California, Davis, Research Report UCD-ITS-RR-16-05 (2016).
 https://escholarship.org/uc/item/28v320rq Kurani, K.S., N. Caperello, J.
 TyreeHageman NCST Research Report: Are We Hardwiring Gender Differences
 into the Market for Plug-in Electric Vehicles? Institute of Transportation
 Studies, University of California, Davis, Research Report UCD-ITS-RR-18-05
 (2018). https://itspubs.ucdavis.edu/publication_detail.php?id=2888 This
 dataset is associated specifically with a subsequent technical
 report:  Kurani, K.S. and K. Buch Across Early Policy
 and Market Contexts Women and Men Show Similar Interest in Electric
 Vehicles, National Center for Sustainable Transportation, University of
 California, Davis, Research Report. 2019.
  https://escholarship.org/uc/item/9zz8n5x5 Data are from
 households who had a acquired at least one household vehicle as new
 (rather than used) since January 2008. The questionnaire was administered
 on-line to households in the following US states: California, Connecticut,
 Delaware, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New
 York, Oregon, Rhode, Island, Vermont, and Washington. Most of these states
 are so called “ZEV states,” i.e., they had adopted California’s Zero
 Emission Vehicle (ZEV) Mandate. Those states that were not ZEV states were
 included to facilitate regional analysis or because they were otherwise
 important to the initial launch of retail ZEV sales in 2011. The primary
 regional analysis was for the Northeast States for Coordinated Air Use
 Management (NESCAUM). The NESCAUM member states are Connecticut, Maine,
 Maryland, Massachusetts, New Hampshire, New Jersey, New York, Rhode
 Island, and Vermont. The total sample size is 5,654 for all states;
 individual state samples sizes are available in the above referenced,
 Kurani et al (2016). Analyses were conducted at the state and regional,
 i.e., NESCAUM, levels. Thus, there are individual data sets for each state
 for which there is a state-level analysis (California, Delaware, Maryland,
 Massachusetts, New Jersey, New York, Oregon, and Washington) and NESCAUM.
 Data for California are included in this release despite the fact its
 analysis was previously conducted under a separate study. California
 serves as the reference case because it has the most supportive policy and
 market context for ZEVs and its analysis is specifically referenced in the
 report associated with these data sets. Since the goal was to produce the
 best possible analysis for each state or region, there are differences in
 their data sets. While variable names and codes follow consistent rules
 across all the data sets, which variables are in the data does vary across
 states and the NESCAUM region. The data released here are those required
 to replicate the analyses in the associated report. For each state and
 region, data are available in two formats indicated by their file
 extensions: .jmp and .csv. Files with the .jmp extension are proprietary
 to the JMP© statistics program from SAS Institute. These files contain the
 data and as well as information about variable coding, variable values,
 value ordering, and other information in column notes. In effect, the .jmp
 files contain the data and the code book. The .csv files are generally
 accessible for import into a wide variety of analytical software but
 contain no explanatory notes. Finally, an annotated version of the on-line
 questionnaire is available as Appendix F of the original report from
 California (Kurani et al 2016) cited above. The on-line instrument is
 customized to each respondent as they complete it. More than simple skip
 patterns, as respondents answer questions content of subsequent questions
 is populated with information participants provide. Some of this requires
 calls to data external to the survey instrument; some of these data are
 proprietary and some are no longer available. Therefore, no “live” version
 of the on-line questionnaire from 2014 is maintained. The annotated
 version and the description of the survey provided in the linked report
 are provided to assist data users. While household ownership and purchase
 of all light-duty passenger cars and trucks approach gender parity, to
 date zero emission vehicles (ZEVs) are being purchased by far more men
 than women. Prior analysis of data from California finds no reason based
 in the prospective interest in ZEVs of female and male respondents why
 this difference should persist. The present report extends the California
 analysis to 12 other US states with varying ZEV policy and market
 contexts.  Among many other contextual, socio-economic,
 demographic, and attitudinal measures, the survey solicited participants’
 prospective interest in acquiring an ZEV, that is, their interest in their
 next new car. Participants then indicated why they were motivated to
 select a ZEV or what motivated them to not select one. Factor analysis was
 used to reduce the dimensionality of participants’ prior awareness,
 experience, knowledge, and assessments of ZEVs. Via nominal logistic
 regression modeling, differences in prospective interest in ZEVs between
 female and male respondents are examined. Given their prospective
 interest, the motivations of female and male respondents are
 compared.  Overall, no difference between female and male
 participants in prospective interest in a ZEV rises to the level of the
 observed differences in real markets. Further, the multivariate modeling
 indicates no statistically significant effect of a sex indicator on
 prospective interest in ZEVS almost anywhere in these states. Where there
 is a difference, female participants are estimated to be more likely to
 choose a ZEV than their male counterparts.  While participants
 from both sexes tend to give high scores to the same ZEV (de)motivations,
 differences in their rank orders repeat generalizations from other
 research. On average, female respondents score environmental motivations
 higher than do male respondents. On average, interest in “new technology”
 is more motivating to male than female participants. Conversely, on
 average female respondents who do not select a ZEV score “unfamiliar
 technology” more highly than their male counterparts.  Within the
 variation in policy and market contexts represented by the states in this
 study, no finding here explains why similar prospective interest among
 female and male participants in ZEVs from the beginning of 2015 has yet to
 be turned toward equal participation in ZEV markets. Explanations may lie
 in factors not modeled here.
description: Data were collected via on-line survey in the late 2014 and early 2015 under contract with the California Air Resources Board and Northeast States for Coordinated Air Use Management. Data were collected via an online survey and in-home interviews of new-car buying households. There are eight state-level data sets for these states: CA, DE, MD, MA, NJ, NY, OR, and WA. A ninth data set covers the region defined by NESCAUM: CT, ME, MA, NH, NJ, NY, RI, and VT. The versions of these nine data sets required to reproduce the analysis reported here are archived for public use. Data cleaning, recoding, and analysis was done in JMP<sup>©</sup> from SAS Institute. Second versions of these nine data sets are also provided as comma-delimited text files.
description: All of the data are available from a single URL: https://doi.org/10.25338/B80P8D. Files with the suffix .jmp contain data and notes about variable coding, value ordering, and other information. The .csv files may be imported into a wide variety of analytical software but contain no explanatory notes. This is full list of data files: CA ZEV Survey 12-07-20.csv<br> CA ZEV Survey 12-07-20.jmp DE ZEV Survey 12-07-20.csv<br> DE ZEV Survey 12-07-20.jmp MA ZEV Survey 12-07-20.csv<br> MA ZEV Survey 12-07-20.jmp MD ZEV Survey 12-07-20.csv<br> MD ZEV Survey 12-07-20.jmp NJ ZEV Survey 12-07-20.csv<br> NJ ZEV Survey 12-07-20.jmp NY ZEV Survey 12-07-20.csv<br> NY ZEV Survey 12-07-20.jmp NESCAUM ZEV Survey 12-07-20.csv<br> NESCAUM ZEV Survey 12-07-20.jmp OR ZEV Survey 12-07-20.csv<br> OR ZEV Survey 12-07-20.jmp WA ZEV Survey 12-07-20.csv<br> WA ZEV Survey 12-07-20.jmp To aid those using the .csv files, an annotated version of the on-line questionnaire is available at: https://escholarship.org/uc/item/28v320rq. The on-line instrument is customized to each respondent as they complete it. More than simple skip patterns as respondents answer questions, content of subsequent questions is populated with either the information respondents provide or is based on such information. Some of this requires calls to data external to the survey instrument; some of these data are proprietary and some are no longer available. Given all this, no “live” version of the on-line questionnaire from 2014 is maintained.