Surveying Canadians’ Climate Change Beliefs, Attitudes and Behaviours Over Time

Methodological Report

Prepared For:
Privy Council Office

Contract Information

  • Supplier name: Advanis
  • Contract number: 35035-211260/001/CY
  • Contract value: $247,673.76 (tax included)
  • Award date: November 24, 2021
  • Delivery date: March 16, 2023
Registration number:
POR 049-21

For more information on this report, please contact the Privy Council Office at: Por-rop@pco-bcp.gc.ca

Ce rapport est aussi disponible en français.

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Prepared for the Privy Council Office
Supplier Name: Advanis
March 2023

This report presents the methodological details for the Surveying Canadians’ Climate Change Beliefs, Attitudes and Behaviours Over Time conducted by Advanis on behalf of the Privy Council Office. The probability-based, online survey was administered 8 times between December 2021 and March 2023. Each wave surveyed approximately 2,000 members of the Canadian public aged 18 or older. Wave 2 through 7 targeted collecting 1,500 completes from respondents who had completed at least one previous wave of the study. Wave 8 did not include longitudinal sample.

Ce rapport est aussi disponible en français sous le titre : Enquête sur les convictions, les attitudes et les comportements des Canadiens en matière de changement climatique au fil du temps

This publication may be reproduced for non-commercial purposes only. Prior written permission must be obtained from the Privy Council Office. For more information on this report, please contact Privy Council Office at:

Privy Council Office
Blackburn Bldg RM 228
85 Sparks St.
Ottawa, Ontario K1A 0A3

© His Majesty the King in Right of Canada, as represented by the Minister of Public Works and Government Services, 2023.

Executive Summary

The Privy Council Office (PCO) required ongoing quantitative data collection and analysis to support a trilateral program of research based in applied behavioural science (BeSci). The program of research required real-time representations of Canadians’ evolving beliefs, attitudes, and behaviours relating to climate change, in order to help the Government of Canada to develop and refine policy development, regulatory practices, program implementation, and communication strategies.

The study employed a probability-based, online survey administered to a national sample of adult Canadians 18 years of age and older. Respondents were recruited by telephone to the online survey. After the initial survey wave, respondents who had agreed to be recontacted, were invited to take the following wave(s), targeting 1,500 completes from recontact sample for waves 2 through 7. Each wave of the survey took approximately 20 minutes to complete.

A total of 17,324 surveys were completed across the 8 waves of the survey between December 2021 and March 2023, with response rates ranging by wave between 28.9% to 48.5% and a margin of error ranging +/-1.86% to +/-2.18% at the national scale (19 times out of 20, at a 95 percent confidence interval). The data was weighted based on geographic region, gender and age, using the 2016 Canadian Population Census for waves 1 to 3, and the 2021 Census data for waves 4 to 8. The total cost of the study was $247,673.76 including taxes.

Political Neutrality Statement and Contact Information

I hereby certify as a Senior Officer of Advanis that the deliverables fully comply with the Government of Canada political neutrality requirements outlined in the Communications Policy of the Government of Canada and Procedures for Planning and Contracting Public Opinion Research.

Specifically, the deliverables do not contain any reference to electoral voting intentions, political party preferences, standings with the electorate, or ratings of the performance of a political party or its leader.

Signed:
Signature
Nicolas Toutant
Vice-President, Research and Evaluation
Advanis
nicolas.toutant@advanis.ca

1. Background and Objectives

In partnership with the Environment and Climate Change Canada (ECCC) and Natural Resources Canada (NRCan), the Privy Council Office (PCO) required ongoing quantitative data collection and analysis to support a trilateral program of research based in applied behavioural science (BeSci). The program of research required real-time representations of Canadians’ evolving beliefs, attitudes, and behaviours relating to climate change. Insights garnered from this quantitative study will enable the Government of Canada to further develop and refine policy development, regulatory practices, program implementation, and communication strategies.

Climate change is undoubtedly a challenge with deep - and increasingly complex - behavioural roots. High-profile efforts are already underway through federal levers that further the Government’s goals for decarbonization, electrification, energy-efficiency, and nature-based solutions. An additional tool to contribute to these efforts is evidenced-based, data-driven behavioural science (BeSci), which can enhance our understanding of what drives individual and collective behaviour, what barriers stand in the way of greater climate action, and how to design and test solutions that lead to meaningful behaviour change in Canada.

The Impact and Innovation Unit (IIU)’s Centre of Expertise at PCO is partnering with NRCan and ECCC to increase BeSci capacity within the Government of Canada through a three-phase program of applied behavioural research. The program of research was designed as a value add to policy development, regulatory practices, program implementation, and communication strategies. Notably, in serving this new function, the program of applied research will generate evidence of where behavioural gaps exist and test solutions in a rapid format. Feeding back into domain areas across NRCan and ECCC, these insights can then be leveraged to sharpen response techniques across the continuum of Government functions.

The goal of this survey was to provide PCO, ECCC, and NRCan with research-based information on Canadians’ beliefs, attitudes, and behaviours relating to climate change. This included:

Insights generated from this quantitative study will enable the Government of Canada to further develop and refine climate change-focused policy, programs, communications, and regulations to meet the specific needs of Canadians.

The total expenditure of this research was $247,673.76 including taxes.

2. Methodology

The Privy Council Office sought to conduct 8 waves of a 20-minute online survey with 2,000 Canadians aged 18 years and older. Aiming for a total of 16,000 completed surveys across 8 waves. The study used Advanis’ proprietary, probability-based General Population Representative Sample (GPRS). The probability-based study was conducted using a two-step approach where respondents were recruited by telephone to participate in an online web survey. Respondents were recruited to the online study by either email or SMS (text message), based on their preference at the time of recruitment. After the initial invitation, if respondents had not yet completed the survey, they were sent a reminder message. Reminder messages were sent 3 and 6 days after the initial recruit.

In subsequent waves Advanis recontacted those who had agreed to participate in future waves, aiming to collect 1,500 surveys from the longitudinal sample, and topping up the remaining 500 surveys with new participants. For every wave, respondents continued to be contacted by phone first, regardless of whether they had participated in a previous wave, before they were sent a link to the latest wave of the study.

In wave 7, in order to have year over year comparison data, the targets were adjusted to collect what could be obtained from those who had completed either wave 1, or at least 2 between wave 2 and wave 6, and to collect 2,000 new surveys with the general population to compare with the initial wave. For wave 8, an entirely new sample of 2,000 respondents was collected.

Overall, 45,372 respondents were recruited to participate in the study across all 8 waves. This resulted in a total of 17,324 completed surveys. Details regarding the number of surveys conducted and response rates per wave can be found in section 2.2.

2.1 Survey Design

The survey was designed by Environment and Climate Change Canada (ECCC), Natural Resources Canada (NRCan), and the Privy Council Office (PCO), and programmed by Advanis ensuring all required standards for public opinion research in the Government of Canada were met. These requirements included but were not limited to notifications regarding privacy and voluntary participation, and adaptability of content based on device (e.g., smartphone, laptop screen). Standards for pre-testing were also adhered to, with a pretest conducted in both English and French during each wave of the study. Results of the pretest were provided to the Privy Council Office (PCO), and if necessary changes were made to adjust the survey. Changes were required after waves 1,2,6 and 8 pretest to reduce the survey length. In other waves, changes made were limited to minor text adjustments to clarify questions when needed.

The initial survey wave involved 2 survey pretests, the first was conducted December 9th, 2021 during which 83 Canadians completed the survey (70 in English, 13 in French). After this pretest it was determined that the average survey length was 31 minutes long and needed to be reduced. The survey instrument was reviewed and assessed for length, with several questions being removed. All completes from this initial pretest were removed from the data given the extent of the survey changes made afterwards. On December 13th, a second pretest was conducted collecting 289 surveys. The survey length from this 2nd pretest was still out of scope at 26 minutes, so it was required that additional questions be removed from the survey. When the survey length was re-assessed on December 15th after these additional questions were removed the average survey length was down to 23 minutes. Given the timing and how close to the holidays, it was decided to proceed with the survey as-is in order to complete data collection prior to the holiday season.

Pretest details for the remaining survey waves were:

Question naming and numbering was kept consistent across waves for data comparisons and merging purposes. Question wording was adjusted slightly across waves, but any changes that altered the meaning of the question was assigned a new question number.

Mapping of the questions asked in each wave can be found in table 1 below. The full survey questionnaires can be found in Appendix B.

Table 1: Survey question mapping
Question # Wave 1 Wave 2 Wave 3 Wave 4 Wave 5 Wave 6 Wave 7 Wave 8
A0 X X X X X X
A1 X X X X X X X X
A1a X X X X X X X X
A2 X X X X X X X X
A3 X X X X X X X X
A4 X X X X X X X X
A5 X X X X X X X X
A6 X X X X X X X X
B2 Levels: 1,2,4,5 Levels: 1,2,5,6 Levels: 1,2,4,5,6 Levels: 1,2,3,5,6,7 Levels: 1,2,4,5,6 Levels: 1,2,4,5,6 Levels: 1,2,4,5,6 Levels: 1,2,4,5
B2a X
B1 Levels: 1,2,3,4,5 Levels: 6,7,8,9,10,11 Levels: 1,2,3,4,5 Levels: 6,7,8,9,10,11 Levels: 1,2,3,4,5 Levels: 6,7,8,9,10,11 Levels: 1,2,3,4,5 Levels: 1,2,3,4,5
B13a X
B13b X
B13c X
B13d X
B11 X
B1b X
B1c X
B1d X
B3 Levels: 1,3,4 Levels: 1,3,4,5
B5 Levels: 2,4,5,8 Levels: 5 Levels: 2,4,5,8
B8 X
B8a X
B8b X X X X X X
B12 X
B9a X
B10 Levels: 1 to 10 Levels: 11 to 24
B8c X
B13 X
B13a2 X
B13b2 X
B11a X
B11b X
B11k X
B11i X
B11d X
C1 Levels: 1,2,3 Levels: 2 Levels: 2 Levels: 2 Levels: 2 Levels: 2 Levels: 1,2 Levels: 2
C2 X
C1f1 X
C1f2 X
C2a Levels: 1 to 11 Levels: 1 to 6 Levels: 1 to 6 Levels: 1 to 12 Levels: 1 to 6, 13 Levels: 1 to 6, 13 Levels: 1 to 8 Levels: 13,14
C2b X X X X X X X
C3a Levels: 1 to 5 Levels: 1 to 3, 6 Levels: 1 to 5
C3b X X X
C3e X
C3f X
C4 X X X X X X X
C5 X X X X X X X
C6 X X X
C13 X
C13a X
C13b X
C7 X
C7a X
C7b X
C7c X
C6a X
C6b X
C1a X X
C8 Levels: 3 to 15 Levels: 16 to 25 Levels: 7,8,16,26 to 32 Levels: 3,7,9,32 to 34 Levels: 7,22,30 Levels: 4,7 to 15 Levels: 7,20,36 to 38
C8a X
C8b X
C8c X
C8d X
C8e X
C8f X
C8g X
C14 X
C14a X
C14b X
C14c X
C14d X
C15 X
C15a X
C16 X
C16a X
C17 X
C17b X
C17c X
C18 X
C11 X
C11a X
C11b X
C11c X
C11d X
C11e X
C11f X
C9 X X
C13c X
C13d X
C15b X
D1 Levels: 1 to 8 Levels: 9 to 18 Levels: 1,5,11,15 Levels: 1,5,11,15 Levels: 1,5,11,15 Levels: 1,5,11,15 Levels: 1,5,11,15
D4a X
D2 Levels: 1 to 5 Levels: 2,3 Levels: 2,3 Levels: 2,3 Levels: 2,3 Levels: 2,3 Levels: 2,3 Levels: 2,3
D3 Levels: 1 to 3 Levels: 1 Levels: 1 Levels: 1 Levels: 1,2 Levels: 1,2 Levels: 1,2 Levels: 1
D4 X X
D5 X X X X
D5a X
D5b X
D6 X X
D6c Levels: 2 to 13 Levels: 2 to 6, 14 to 17
D6a X
D6b Levels: 1 to 8 Levels: 1,4,5,9 Levels: 1,4,5,9 Levels: 1,4,5,9
D6d X
D6e X
D6f X
D7 X X
D7a Levels: 1 to 10 Levels: 1 to 6, 9, 11 to 16 Levels: 1 to 6, 9, 11 to 16 Levels: 1 to 6, 9, 17 to 19
D7b X
D7e X
D7c X
D7d X
D8 X
D8a X
D9 X
D10 X
D12 X
E1 X X X X X X X X
E2 X X X X X X X X
E3a X X X X X X X X
E3b X X X X X X X X
E4 X X X X X X X X
E5 X X X X X X X X
E13 X X X X X X X X
E6 X X X X X X X X
E7 X X X X X X X X
E8 X X X X X X X X
E9 X X X X X X X X
E11 X X X X X X X X
E12 X X X X X X X X
C3g X
Followup X X X X X X
F1 X

2.2 Sampling and Administration

The target audience for this project was Canadians 18 years and older, aiming for appropriate representation of age, gender and regional split. Initially the requirements were aimed for 2,000 completes in wave 1, and then 1,500 completes from longitudinal sample in subsequent waves (those who had agreed to participate in follow up waves), and top up with an additional 500 new sample. The amount of available longitudinal sample was increasing after each wave as additional sample was added to the longitudinal base.

Each wave, the focus was to collect as many surveys as possible from the longitudinal sample, and then top up with new sample in age/gender/region segments that may have been behind target.

The study was conducted using a two-step approach where respondents were recruited by telephone to participate in an online web survey. Respondents were recruited to the online study by either email or SMS (text message), based on their preference at the time of recruitment. After the initial invitation, if respondents had not yet completed the survey, they were sent a reminder message. Reminder messages were sent 3 and 6 days after the initial recruit. Respondents could opt out at any time by replying “STOP” to the text message.

Table 2: Survey sample by region by wave
Region Target Wave 1 Wave 2 Wave 3 Wave 4 Wave 5 Wave 6 Wave 7 * Wave 8
BC/YT 212 325 300 286 264 271 266 343 332
AB/NT 197 256 259 231 222 245 230 366 285
MB/SK/NU 175 191 189 207 202 206 236 309 203
ON 465 557 674 664 633 655 690 928 677
QC 300 533 503 497 481 470 434 587 326
Atlantic 151 242 218 195 218 214 195 253 256
Total 100% 2,104 2143 2080 2020 2061 2051 2786 2,079
Longitudinal 1500 n/a 1260 1451 1630 1535 688 785 n/a
* For wave 7 only longitudinal sample who completed wave 1 or more than 1 wave in waves 2-6 were invited to participate.

Overall, 45,372 Canadians were invited to participate in the eight waves, and a total of 17,324 surveys were completed for an overall response rate of 38.2%. A detailed breakdown of field dates, recruitment, response rate, margin of error, and survey length for each wave is available in table 3 below.

Table 3. Field details by wave
Detail Wave 1 Wave 2 Wave 3 Wave 4 Wave 5 Wave 6 Wave 7 Wave 8
Field dates Dec 13, 2021 - Jan 3, 2022 Feb 15 - Mar 9, 2022 Apr 25 - May 15, 2022 Jun 20 - Jul 7, 2022 Aug 16 - Sep 6, 2022 Oct 17 - Nov 9, 2022 Nov 24 - Dec 23, 2022 Feb 23 - Mar 12, 2023
Invited 7,269 4421 4321 4678 4896 6964 5939 6884
Completed 2,104 2,143 2,080 2,020 2,061 2,051 2,786 2,079
Response rate (completed / invited) 28.9% 48.5% 48.1% 43.2% 42.1% 29.5% 46.9% 30.2%
Margin of error +/-2.14% +/-2.12% +/-2.15% +/-2.18% +/-2.16% +/-2.16% +/-1.86% +/-2.15%
Survey length (min) 25.16 18.59 24.19 20.42 22.88 18.73 19.20 20.46

Inclusive participation is a requirement of public opinion research contracted by the Government of Canada. For example, the online surveys were programmed to adapt to mobile devices, limit large tables of scaled questions, support screen readers, and support use of tab-key functions to navigate screens. Alternative formats (e.g., interviews) were also available if requested. The measures Advanis puts in place appears to have addressed the needs of participants who may have had challenges since no one requested additional support.

2.3 Weighting and Data Cleaning

The data was weighted by three key variables - region, sex and age. The data for waves 1, 2 and 3 were weighted based on the 2016 Canadian Population Census. The 2021 Canadian Population Census data was made available between waves 3 and 4, so wave 4 and subsequent waves were weighted to reflect the updated census numbers. The following six regions were used for weighting: Atlantic Canada, Quebec, Ontario, Manitoba / Saskatchewan / Nunavut, Alberta / Northwest Territories, and British Columbia / Yukon. The following three age categories were used for weighting: 18 to 34, 35 to 54, and 55 and older.

All demographic and derived variables used in the analysis and/or weighting were included in the dataset. The open ended responses were coded when applicable. Coded and original verbatim responses were maintained in the dataset. Questions were crossed with themed categories to provide insight into the results. Banners were generated for each individual wave, as well as a banner comparing the waves throughout data collection. Banner percentages are weighted to the population.

The values attributed to the different weight categories can be found in Appendix A.

Data cleaning involved bringing forward historic demographic information for longitudinal sample, since questions were not asked again unless the respondent had indicated that a metric had changed. Recoding was done in some cases to rebase responses where appropriate to the full base if they were only shown to certain demographic groups. Strings were adjusted to ensure that there were no hard returns within verbatim responses, as this caused problems when converting data to a CSV format. Multi response questions were recoded into non-dichotomous variables at the request of PCO.

Several variables were created by recoding existing variables into more condensed versions to be used as banner categories in reporting. For example, 5 point scale metrics were often recoded into top 2, middle, bottom 2 variables for banners. This was done consistently across waves when appropriate. If questions were included in subsequent waves, but the banner variable was not required for that wave, the data was still calculated in case it was needed for future requests.

Upon reviewing the final data, discrepancies were identified within the longitudinal sample. These inconsistencies included variations in demographic information, such as the age of the respondent. Investigation revealed that a data tabulation error was responsible for this issue for 306 respondents. A revised data file has been created to address this issue, but additional inconsistencies remain.

2.4 Quality Control

Advanis employs a number of quality control measures to ensure success across the entire life cycle of the project. These measures are detailed below.

Survey Programming: Advanis utilizes technology to maximize quality control in survey programming. Having developed a proprietary survey engine tool, Advanis professionals are able to design and program a survey in a browser-based environment, eliminating the need to involve a programmer who is less familiar with the survey subject matter. Below are the steps followed to ensure the quality of the survey.

CATI Methodology: The CATI recruit script was programmed on Advanis’ proprietary platform with no unforeseen challenges. Advanis was able to leverage its experience for the survey programming and the reminder process to achieve high quality standards. Advanis implemented the following to ensure high quality data collection:

To ensure high interview quality, interviewers are trained to use various interviewing techniques. As well as maintaining a professional attitude, interviewers must be convincing, read word-for- word, take notes, probe deeper on semi-open and open questions, systematically confirm the information given, and listen to the respondent.

Web Methodology: All Advanis online surveys are hosted internally by Advanis, and employ a rigorous and stringent set of data collection control mechanisms to ensure the highest quality for the data collected. These mechanisms include:

Data Handling and Reporting: For the data collected, Advanis develops rules to check the validity of the data. These rules include items such as:

Advanis staff have used the SPSS Statistics Software for over 20 years and are very proficient users of the software. All data cleaning performed on projects are outlined in syntax files with intermediate data files saved throughout the process. This ensures that the original raw data file is never overwritten, and that if an error is discovered in our code, we can quickly and easily rerun the syntax to produce a new data file. Individuals developing code incorporate internal checks in their code (e.g., crosstabs) to ensure the syntax had the desired effect. In addition, all syntax is reviewed by another team member or technical specialist for accuracy.

3. Non Response Bias

Non-response bias occurs when non-responders differ in a meaningful way from respondents and this difference impacts the information gathered. It is difficult to assess the presence of non-response bias since information about why non-responders did not participate is usually not unavailable. That said, one way to gauge the potential impacts of non-response bias is to evaluate if the sample is representative by comparing the respondents' characteristics and gauge if they reflect known population characteristics. Where possible, we can check the distribution of respondents across various demographics (e.g., age and gender) and geographic categories and compare those distributions against known population characteristics. If the variation is fairly small and we have no reason to believe there are other factors impacting respondents’ willingness to participate, we can conclude that the likelihood of non-response bias impacting the information gathered in the study is minimal. This is the case with the current study.

Several strategies were employed to increase response rates and reduce the effects of non-response bias. This includes:

Appendix A: Weights

Table 4. Weights
Segment Wave Unweighted N Weighted N Weight
Atlantic Male 18 to 34 1 32 15 0.47861
Atlantic Male 35 to 54 1 40 26 0.64035
Atlantic Male 55 plus 1 51 27 0.53287
Atlantic Female 18 to 34 1 24 15 0.64201
Atlantic Female 35 to 54 1 39 27 0.70249
Atlantic Female 55 plus 1 56 31 0.54550
Quebec Male 18 to 34 1 51 58 1.14533
Quebec Male 35 to 54 1 86 94 1.08922
Quebec Male 55 plus 1 143 87 0.60927
Quebec Female 18 to 34 1 45 58 1.28815
Quebec Female 35 to 54 1 77 94 1.21852
Quebec Female 55 plus 1 131 99 0.75720
Ontario Male 18 to 34 1 84 102 1.21975
Ontario Male 35 to 54 1 105 153 1.45708
Ontario Male 55 plus 1 95 132 1.38626
Ontario Female 18 to 34 1 59 102 1.73057
Ontario Female 35 to 54 1 91 163 1.79370
Ontario Female 55 plus 1 123 151 1.22720
MB/SK/NU Male 18 to 34 1 48 19 0.40380
MB/SK/NU Male 35 to 54 1 29 27 0.92305
MB/SK/NU Male 55 plus 1 32 22 0.69502
MB/SK/NU Female 18 to 34 1 32 19 0.59172
MB/SK/NU Female 35 to 54 1 21 27 1.28999
MB/SK/NU Female 55 plus 1 29 25 0.85965
AB/NT Male 18 to 34 1 31 35 1.14509
AB/NT Male 35 to 54 1 46 52 1.12675
AB/NT Male 55 plus 1 58 34 0.58181
AB/NT Female 18 to 34 1 43 35 0.80351
AB/NT Female 35 to 54 1 40 51 1.27797
AB/NT Female 55 plus 1 38 36 0.95019
BC/YT Male 18 to 34 1 29 35 1.21971
BC/YT Male 35 to 54 1 57 54 0.93878
BC/YT Male 55 plus 1 60 50 0.83934
BC/YT Female 18 to 34 1 28 35 1.24612
BC/YT Female 35 to 54 1 51 57 1.11002
BC/YT Female 55 plus 1 100 56 0.55981
Atlantic Male 18 to 34 2 25 16 0.62397
Atlantic Male 35 to 54 2 40 26 0.65222
Atlantic Male 55 plus 2 44 28 0.62909
Atlantic Female 18 to 34 2 24 16 0.65391
Atlantic Female 35 to 54 2 36 28 0.77514
Atlantic Female 55 plus 2 49 31 0.63498
Quebec Male 18 to 34 2 51 59 1.16656
Quebec Male 35 to 54 2 73 95 1.30698
Quebec Male 55 plus 2 138 89 0.64305
Quebec Female 18 to 34 2 39 59 1.51387
Quebec Female 35 to 54 2 72 96 1.32729
Quebec Female 55 plus 2 130 101 0.77716
Ontario Male 18 to 34 2 102 104 1.02312
Ontario Male 35 to 54 2 129 156 1.20798
Ontario Male 55 plus 2 105 134 1.27749
Ontario Female 18 to 34 2 67 104 1.55218
Ontario Female 35 to 54 2 124 166 1.34074
Ontario Female 55 plus 2 147 154 1.04588
MB/SK/NU Male 18 to 34 2 44 20 0.44867
MB/SK/NU Male 35 to 54 2 36 27 0.75735
MB/SK/NU Male 55 plus 2 35 23 0.64722
MB/SK/NU Female 18 to 34 2 23 19 0.83852
MB/SK/NU Female 35 to 54 2 26 28 1.06123
MB/SK/NU Female 55 plus 2 25 25 1.01568
AB/NT Male 18 to 34 2 32 36 1.12987
AB/NT Male 35 to 54 2 50 53 1.05583
AB/NT Male 55 plus 2 55 34 0.62492
AB/NT Female 18 to 34 2 40 35 0.87979
AB/NT Female 35 to 54 2 46 52 1.13188
AB/NT Female 55 plus 2 36 37 1.02157
BC/YT Male 18 to 34 2 21 36 1.71558
BC/YT Male 35 to 54 2 57 55 0.95619
BC/YT Male 55 plus 2 63 51 0.81418
BC/YT Female 18 to 34 2 25 36 1.42152
BC/YT Female 35 to 54 2 44 58 1.31046
BC/YT Female 55 plus 2 90 57 0.63354
Atlantic Male 18 to 34 3 23 15 0.65829
Atlantic Male 35 to 54 3 29 25 0.87316
Atlantic Male 55 plus 3 40 27 0.67166
Atlantic Female 18 to 34 3 19 15 0.80171
Atlantic Female 35 to 54 3 30 27 0.90282
Atlantic Female 55 plus 3 54 30 0.55925
Quebec Male 18 to 34 3 47 58 1.22863
Quebec Male 35 to 54 3 72 93 1.28617
Quebec Male 55 plus 3 140 86 0.61523
Quebec Female 18 to 34 3 35 57 1.63730
Quebec Female 35 to 54 3 71 93 1.30642
Quebec Female 55 plus 3 132 98 0.74289
Ontario Male 18 to 34 3 107 101 0.94664
Ontario Male 35 to 54 3 120 151 1.26041
Ontario Male 55 plus 3 112 130 1.16244
Ontario Female 18 to 34 3 66 101 1.52938
Ontario Female 35 to 54 3 115 161 1.40317
Ontario Female 55 plus 3 144 149 1.03628
MB/SK/NU Male 18 to 34 3 34 19 0.56357
MB/SK/NU Male 35 to 54 3 35 26 0.75608
MB/SK/NU Male 55 plus 3 45 22 0.48860
MB/SK/NU Female 18 to 34 3 23 19 0.81387
MB/SK/NU Female 35 to 54 3 36 27 0.74391
MB/SK/NU Female 55 plus 3 34 25 0.72487
AB/NT Male 18 to 34 3 32 35 1.09665
AB/NT Male 35 to 54 3 39 51 1.31383
AB/NT Male 55 plus 3 51 33 0.65412
AB/NT Female 18 to 34 3 37 34 0.92316
AB/NT Female 35 to 54 3 39 51 1.29579
AB/NT Female 55 plus 3 33 36 1.08168
BC/YT Male 18 to 34 3 25 35 1.39872
BC/YT Male 35 to 54 3 51 53 1.03726
BC/YT Male 55 plus 3 56 50 0.88903
BC/YT Female 18 to 34 3 18 34 1.91629
BC/YT Female 35 to 54 3 36 56 1.55458
BC/YT Female 55 plus 3 100 55 0.55342
Atlantic Male 18 to 34 4 21 16 0.75752
Atlantic Male 35 to 54 4 38 20 0.52123
Atlantic Male 55 plus 4 59 30 0.50673
Atlantic Female 18 to 34 4 16 15 0.96628
Atlantic Female 35 to 54 4 34 21 0.62087
Atlantic Female 55 plus 4 50 33 0.66721
Quebec Male 18 to 34 4 43 58 1.35067
Quebec Male 35 to 54 4 73 73 1.00667
Quebec Male 55 plus 4 141 96 0.68190
Quebec Female 18 to 34 4 27 57 2.10510
Quebec Female 35 to 54 4 66 73 1.10990
Quebec Female 55 plus 4 131 107 0.81742
Ontario Male 18 to 34 4 73 110 1.50236
Ontario Male 35 to 54 4 133 121 0.90669
Ontario Male 55 plus 4 125 148 1.18050
Ontario Female 18 to 34 4 56 106 1.88827
Ontario Female 35 to 54 4 102 129 1.26206
Ontario Female 55 plus 4 144 168 1.16394
MB/SK/NU Male 18 to 34 4 24 19 0.80551
MB/SK/NU Male 35 to 54 4 38 21 0.55189
MB/SK/NU Male 55 plus 4 42 24 0.57560
MB/SK/NU Female 18 to 34 4 27 19 0.68553
MB/SK/NU Female 35 to 54 4 30 21 0.70753
MB/SK/NU Female 55 plus 4 41 27 0.65378
AB/NT Male 18 to 34 4 25 33 1.30870
AB/NT Male 35 to 54 4 41 41 0.99170
AB/NT Male 55 plus 4 52 39 0.74048
AB/NT Female 18 to 34 4 32 32 1.00169
AB/NT Female 35 to 54 4 35 41 1.16220
AB/NT Female 55 plus 4 37 41 1.11983
BC/YT Male 18 to 34 4 23 38 1.64679
BC/YT Male 35 to 54 4 33 44 1.32677
BC/YT Male 55 plus 4 66 56 0.84551
BC/YT Female 18 to 34 4 14 37 2.63305
BC/YT Female 35 to 54 4 38 46 1.21128
BC/YT Female 55 plus 4 90 62 0.69161
Atlantic Male 18 to 34 5 19 16 0.85426
Atlantic Male 35 to 54 5 37 20 0.54619
Atlantic Male 55 plus 5 55 31 0.55462
Atlantic Female 18 to 34 5 11 16 1.43402
Atlantic Female 35 to 54 5 36 22 0.59827
Atlantic Female 55 plus 5 56 34 0.60781
Quebec Male 18 to 34 5 33 59 1.79569
Quebec Male 35 to 54 5 71 75 1.05604
Quebec Male 55 plus 5 139 98 0.70576
Quebec Female 18 to 34 5 34 58 1.70563
Quebec Female 35 to 54 5 57 75 1.31123
Quebec Female 55 plus 5 136 109 0.80334
Ontario Male 18 to 34 5 94 112 1.19041
Ontario Male 35 to 54 5 116 123 1.06067
Ontario Male 55 plus 5 130 151 1.15813
Ontario Female 18 to 34 5 68 108 1.58660
Ontario Female 35 to 54 5 92 131 1.42764
Ontario Female 55 plus 5 155 171 1.10328
MB/SK/NU Male 18 to 34 5 30 20 0.65749
MB/SK/NU Male 35 to 54 5 37 21 0.57832
MB/SK/NU Male 55 plus 5 41 25 0.60161
MB/SK/NU Female 18 to 34 5 19 19 0.99395
MB/SK/NU Female 35 to 54 5 29 22 0.74678
MB/SK/NU Female 55 plus 5 50 27 0.54698
AB/NT Male 18 to 34 5 40 33 0.83454
AB/NT Male 35 to 54 5 35 41 1.18529
AB/NT Male 55 plus 5 65 39 0.60441
AB/NT Female 18 to 34 5 26 33 1.25788
AB/NT Female 35 to 54 5 41 42 1.01226
AB/NT Female 55 plus 5 38 42 1.11249
BC/YT Male 18 to 34 5 26 39 1.48634
BC/YT Male 35 to 54 5 43 45 1.03888
BC/YT Male 55 plus 5 71 57 0.80192
BC/YT Female 18 to 34 5 17 38 2.21240
BC/YT Female 35 to 54 5 35 47 1.34179
BC/YT Female 55 plus 5 79 64 0.80391
Atlantic Male 18 to 34 6 19 16 0.85011
Atlantic Male 35 to 54 6 37 20 0.54354
Atlantic Male 55 plus 6 54 30 0.56215
Atlantic Female 18 to 34 6 12 16 1.30814
Atlantic Female 35 to 54 6 25 21 0.85733
Atlantic Female 55 plus 6 48 34 0.70568
Quebec Male 18 to 34 6 37 59 1.59379
Quebec Male 35 to 54 6 72 75 1.03632
Quebec Male 55 plus 6 118 98 0.82732
Quebec Female 18 to 34 6 32 58 1.80344
Quebec Female 35 to 54 6 66 74 1.12693
Quebec Female 55 plus 6 109 109 0.99747
Ontario Male 18 to 34 6 95 111 1.17216
Ontario Male 35 to 54 6 120 122 1.02034
Ontario Male 55 plus 6 145 150 1.03329
Ontario Female 18 to 34 6 61 107 1.76009
Ontario Female 35 to 54 6 105 131 1.24481
Ontario Female 55 plus 6 164 170 1.03768
MB/SK/NU Male 18 to 34 6 24 20 0.81787
MB/SK/NU Male 35 to 54 6 31 21 0.68690
MB/SK/NU Male 55 plus 6 62 25 0.39591
MB/SK/NU Female 18 to 34 6 21 19 0.89493
MB/SK/NU Female 35 to 54 6 29 22 0.74316
MB/SK/NU Female 55 plus 6 69 27 0.39444
AB/NT Male 18 to 34 6 32 33 1.03811
AB/NT Male 35 to 54 6 39 41 1.05856
AB/NT Male 55 plus 6 57 39 0.68589
AB/NT Female 18 to 34 6 23 33 1.41505
AB/NT Female 35 to 54 6 40 41 1.03253
AB/NT Female 55 plus 6 39 42 1.07871
BC/YT Male 18 to 34 6 34 38 1.13110
BC/YT Male 35 to 54 6 42 44 1.05846
BC/YT Male 55 plus 6 71 57 0.79803
BC/YT Female 18 to 34 6 15 37 2.49523
BC/YT Female 35 to 54 6 38 47 1.22986
BC/YT Female 55 plus 6 66 63 0.95758
Atlantic Male 18 to 34 7 22 22 0.99729
Atlantic Male 35 to 54 7 43 27 0.63530
Atlantic Male 55 plus 7 63 42 0.66507
Atlantic Female 18 to 34 7 13 20 1.52308
Atlantic Female 35 to 54 7 39 31 0.78687
Atlantic Female 55 plus 7 72 45 0.62177
Quebec Male 18 to 34 7 43 80 1.86286
Quebec Male 35 to 54 7 83 101 1.22113
Quebec Male 55 plus 7 162 133 0.82366
Quebec Female 18 to 34 7 61 78 1.28510
Quebec Female 35 to 54 7 102 101 0.99051
Quebec Female 55 plus 7 136 147 1.07801
Ontario Male 18 to 34 7 131 151 1.15466
Ontario Male 35 to 54 7 159 166 1.04603
Ontario Male 55 plus 7 211 204 0.96455
Ontario Female 18 to 34 7 71 146 2.05410
Ontario Female 35 to 54 7 154 178 1.15289
Ontario Female 55 plus 7 202 231 1.14438
MB/SK/NU Male 18 to 34 7 42 27 0.65032
MB/SK/NU Male 35 to 54 7 42 28 0.65738
MB/SK/NU Male 55 plus 7 84 33 0.39227
MB/SK/NU Female 18 to 34 7 33 27 0.82349
MB/SK/NU Female 35 to 54 7 39 30 0.77039
MB/SK/NU Female 55 plus 7 69 36 0.52814
AB/NT Male 18 to 34 7 50 46 0.92090
AB/NT Male 35 to 54 7 66 57 0.86274
AB/NT Male 55 plus 7 85 52 0.61042
AB/NT Female 18 to 34 7 32 43 1.33968
AB/NT Female 35 to 54 7 65 55 0.85003
AB/NT Female 55 plus 7 68 59 0.86584
BC/YT Male 18 to 34 7 46 52 1.13563
BC/YT Male 35 to 54 7 52 60 1.16128
BC/YT Male 55 plus 7 89 77 0.86478
BC/YT Female 18 to 34 7 24 51 2.11839
BC/YT Female 35 to 54 7 46 63 1.38006
BC/YT Female 55 plus 7 87 86 0.98677
Atlantic Male 18 to 34 8 25 16 0.65490
Atlantic Male 35 to 54 8 40 20 0.50963
Atlantic Male 55 plus 8 60 31 0.51284
Atlantic Female 18 to 34 8 26 16 0.61200
Atlantic Female 35 to 54 8 43 22 0.50526
Atlantic Female 55 plus 8 62 34 0.55379
Quebec Male 18 to 34 8 24 60 2.49064
Quebec Male 35 to 54 8 66 76 1.14596
Quebec Male 55 plus 8 65 99 1.52241
Quebec Female 18 to 34 8 39 58 1.49995
Quebec Female 35 to 54 8 62 75 1.21602
Quebec Female 55 plus 8 70 110 1.57441
Ontario Male 18 to 34 8 77 113 1.46592
Ontario Male 35 to 54 8 122 124 1.01731
Ontario Male 55 plus 8 145 152 1.04740
Ontario Female 18 to 34 8 47 109 2.31556
Ontario Female 35 to 54 8 116 132 1.14215
Ontario Female 55 plus 8 170 173 1.01472
MB/SK/NU Male 18 to 34 8 33 20 0.60293
MB/SK/NU Male 35 to 54 8 32 22 0.67452
MB/SK/NU Male 55 plus 8 38 25 0.65477
MB/SK/NU Female 18 to 34 8 30 19 0.63500
MB/SK/NU Female 35 to 54 8 32 22 0.68268
MB/SK/NU Female 55 plus 8 38 28 0.72599
AB/NT Male 18 to 34 8 40 34 0.84183
AB/NT Male 35 to 54 8 69 42 0.60648
AB/NT Male 55 plus 8 44 40 0.90067
AB/NT Female 18 to 34 8 18 33 1.83280
AB/NT Female 35 to 54 8 71 42 0.58965
AB/NT Female 55 plus 8 43 43 0.99172
BC/YT Male 18 to 34 8 37 39 1.05358
BC/YT Male 35 to 54 8 52 45 0.86658
BC/YT Male 55 plus 8 80 57 0.71792
BC/YT Female 18 to 34 8 22 38 1.72452
BC/YT Female 35 to 54 8 59 47 0.80293
BC/YT Female 55 plus 8 82 64 0.78126

Appendix B: Questionnaire

Advanis Logo

Climate Change

Government of Canada

Languages: English, French

LoginPage

Si vous préférez répondre au sondage en français, veuillez cliquer sur français.

The Government of Canada is conducting a research study to understand opinions and behaviours about current issues of interest to Canadians. Advanis has been hired to administer this survey. This survey uses Advanis' TellCityHall data collection methodology. Your answers will remain anonymous and confidential. To view Advanis’ Privacy policy, click here . The survey should take about 20 minutes to complete.

If you get interrupted while doing the survey, you can click on the same link to pick up right where you left off.

If you have any questions about this survey, please contact iiu-uii@pco-bcp.gc.ca

By clicking "Start the Survey" below:

© 2022 Advanis adheres to the CRIC Pledge

LoginPage1

Si vous préférez répondre au sondage en français, veuillez cliquer sur français.

Thank you for completing a previous version of this survey. It has been one year since it first launched, and this is the last time you will be asked to participate . We would greatly appreciate your participation this last time so that we can understand year-over-year changes in Canadians’ opinions and behaviours.

As a reminder, the Government of Canada is conducting a research study to understand opinions and behaviours about current issues of interest to Canadians. Advanis has been hired to administer this survey, which uses their TellCityHall data collection method. Your answers will be confidential and anonymous, meaning that no identifying information will be collected and the researchers will never know who you are. To view Advanis’ Privacy policy, click here . The survey should take about 20 minutes to complete.

If you get interrupted while doing the survey, you can click on the same link to pick up right where you left off.

If you have any questions about this survey, please contact iiu-uii@pco-bcp.gc.ca .

By clicking "Start the Survey" below:

© 2022 Advanis adheres to the CRIC Pledge .

TermConsent

Thank you for your time!

(Status code 501)

A0

About You Thank you for agreeing to participate in this study one last time. Have any of the following changed since you last answered this survey in <<sample.last_wave_taken.text>>? Select all that apply

A1


About You

Thank you for deciding to participate in this study. First, please provide us with some information about yourself.

In what year were you born?

____________________

A1A

In which of the following age categories do you belong?

TA1

Thank you for your interest in this survey, but you must be 18 or older to participate.

(Status code 502)

A2

What was your sex at birth? Sex refers to sex assigned at birth.

A3

What is your gender? Refers to current gender which may be different from sex assigned at birth and may be different from what is indicated on legal documents.

A4

In which province or territory do you live?

TA4

Thank you for your interest in this survey, but you must be living in Canada to participate.

(Status code 503)

A5

Which best describes the building where you live?

A6

Are your living quarters...

BIntro

About the Environment The following questions concern your beliefs about the environment. Though they may seem repetitive at times they are important for us to understand your views in relation to past work in this area. We respect and appreciate your honest responses.

B2

How do you currently feel about the issue of climate change?

B2a

In your opinion, what percentage of Canadians currently feels very or extremely worried about the issue of climate change?

____________________

B1

Please rate your agreement or disagreement with the following statements.

B13a

How important is the issue of global warming to you personally?

B13b

How worried are you about global warming?

B13c

How much do you think global warming will harm you personally?

B13d

How much do you think global warming will harm future generations of people?

B11

Overall, how would you describe your level of knowledge about climate change?

B1b

In your opinion, what percentage of the Earth’s warming since the 1950s has been caused by human activity, like burning fossil fuels:

____________________

B1c

Please rate your agreement or disagreement with the following statements about the issue of climate change.

B1d

Please rate your agreement or disagreement with the following statements about the issue of climate change.

B3

In your opinion, what percentage of people in each of the following groups believes climate change is a threat that requires urgent action?

B5

To what extent do you think the following group should be doing more or less to help limit climate change?

B8Intro

In the next question, we will ask about your experiences with weather and climate.

B8

Over the LAST TWO YEARS , how many times have you personally experienced any of the following extreme weather-related events in your local Canadian area?

B8a

Please rate your agreement or disagreement with the following statement:

B8b

Over the LAST TWO MONTHS , which of the following extreme weather-related events have you personally experienced in your local Canadian area? Select all that apply

B12

In your opinion, how much of a threat, if any, are climate change and its future impacts to…

B9a

Based on what you may have seen, read or heard, please categorize the following actions as high, medium, or low impact in terms of reducing annual greenhouse gas emissions (e.g., carbon dioxide, methane).

B10

To the best of your knowledge, how accurate or inaccurate are the claims in the following statements?

B8c

Compared to usual, how much extreme weather have you personally experienced in your local Canadian area over the LAST TWO YEARS ? Examples of extreme weather-related events are flooding, droughts, severe wind storms, hurricanes, periods of excessive heat or cold, wildfires, and ice storms.

B13

In the LAST FIVE YEARS or so (i.e., since 2018), have you and/or anyone you know experienced any of the following as a result of a wildfire or wildfire smoke? Select all that apply

B13a2

In the LAST FIVE YEARS or so (i.e., since 2018), have you taken any of the following wildfire-related actions? Select all that apply

B13b2

FireSmart™ Canada is a national program designed to help Canadians increase neighbourhood resilience to wildfire and minimize its negative impacts. Some provinces, territories, and municipalities also have their own FireSmart™ programs. Prior to this survey, how familiar were you with FireSmart™?

B11Intro

The next few questions ask about the science of climate change. Please answer to the best of your knowledge, whether or not you believe in climate change.

B11a

Which one of these gases contributes to global warming?

B11b

What are the processes leading to global warming?

B11k

As global average temperature rises...

B11i

Which of the following is NOT a greenhouse gas?

B11d

Among the following groups of countries, which has the largest per capita emissions of greenhouse gases?

CIntro

Actions and Policies The following questions ask about your recent actions related to the environment, as well as your opinion of potential environmental policies. We respect and appreciate your honest responses.

C1

Please rate your agreement or disagreement with the following statement.

C2

In your opinion, what percentage of Canadians would somewhat or strongly agree that they are willing to make substantial changes in their lives to help limit climate change?

____________________

C1f1

In your own words, please explain your willingness to make changes in your life to help limit climate change.

Please do not enter personally identifying information (e.g., name, email address, phone number, mailing address), as anything you enter may be shared with the sponsor of this research.

____________________

C1f2

In your own words, please explain your unwillingness to make changes in your life to help limit climate change.

Please do not enter personally identifying information (e.g., name, email address, phone number, mailing address), as anything you enter may be shared with the sponsor of this research.

____________________

C2aIntro

Please select the option that is most accurate for you. There are no right or wrong answers.

C2a

In the LAST TWO MONTHS , how frequently or infrequently have you done the following things?

C2b

In the LAST TWO MONTHS , how frequently or infrequently have you done the following things?

C3a

Please indicate whether you have each of the following:

C3b

Please note whether you have each of the following in your home/residence :

C3e

Have you ever heard of a heat pump (for heating and cooling your home)?

C3f

To your knowledge, what are the advantages or disadvantages of using a heat pump to heat and cool your home?

Please do not enter personally identifying information (e.g., name, email address, phone number, mailing address), as anything you enter may be shared with the sponsor of this research.

____________________

C4

In the LAST TWO MONTHS , have you done any of the following things? Select all that apply

C5

In the LAST TWO MONTHS , have you been able to afford enough energy (e.g., electricity, natural gas, gasoline, wood fuel) to meet your daily needs?

C6

Please indicate whether you have each of the following:

C13

For the next three questions, think about a park (or other natural space) close to your home where you would want to spend time. How would you normally get there from your home?

C13a

Using the method of transportation you chose in the previous question, how long would it take to get there from your home?

C13b

When comparing this park (or natural space) to others in your part of the country, how would you rate its overall quality?

C7

In the LAST TWO MONTHS , were there any other actions that you took with climate change in mind? If so, please specify.

Please do not enter personally identifying information (e.g., name, email address, phone number, mailing address), as anything you enter may be shared with the sponsor of this research.

____________________

C7a

For the following set of questions, environmentally friendly means choosing items or acting in ways that are less harmful to land, air, water, and/or wildlife compared to available alternatives. Please rate your agreement or disagreement with the following statements:

C7b

How willing , if at all, are you to take each of the following actions to save energy?

C7c

How effective , if at all, do you think each of the following measures are in saving energy?

C6a

Please indicate whether you have each of the following:

C6b

Please rate your agreement or disagreement with the following statements:

C1a

How much more, if anything, would you be able or willing to pay for products and services that help limit climate change?

C8

How much do you support or oppose the following environmental policies ?

C8a

In the previous set of questions, you indicated that you somewhat or strongly support a national price on carbon pollution (sometimes referred to as a 'carbon tax'). What are the main reasons for which you support this policy?

Please do not enter personally identifying information (e.g., name, email address, phone number, mailing address), as anything you enter may be shared with the sponsor of this research.

____________________

C8b

In the previous set of questions, you indicated that you somewhat or strongly oppose a national price on carbon pollution (sometimes referred to as a 'carbon tax'). What are the main reasons for which you oppose this policy?

Please do not enter personally identifying information (e.g., name, email address, phone number, mailing address), as anything you enter may be shared with the sponsor of this research.

____________________

C8c

If the Government of Canada were to support the following goals, which of them would you prioritize? Please select up to five.

Select all that apply

C8d

In the previous exercise, you indicated that the following were your top priorities among those shown. If you had 10 cheques of $1 million each, how would you distribute them among your priorities? The total across all items should be 10.

C8e

In the past two months, have you heard, read, or seen anything related to the Climate Action Incentive Payment (CAIP)? Climate Action Incentive Payments are quarterly payments made by the federal government to eligible households, designed to offset the costs of carbon pricing in provinces covered by the federal carbon pricing system.

C8f

To the best of your knowledge, has anyone in your household received a Climate Action Incentive Payment (CAIP) in the past two months?

C8g

In your opinion, what percentage of Canadians somewhat or strongly supports the following policies?

C14

Does your home have a lawn that you (or someone in your household) maintains using a lawn mower?

C14a

What kind of lawn mower do you (or someone in your household) currently use?

C14b

Regardless of what you currently use, if you were to purchase a new lawn mower for your household today, what kind would you buy?

C14c

To your knowledge, what are the advantages of owning a battery-powered lawn mower? (Please focus on advantages only, disadvantages will be asked in the following question).

Please do not enter personally identifying information (e.g., name, email address, phone number, mailing address), as anything you enter may be shared with the sponsor of this research.

____________________

C14d

To your knowledge, what are the disadvantages of owning a battery-powered lawn mower?

Please do not enter personally identifying information (e.g., name, email address, phone number, mailing address), as anything you enter may be shared with the sponsor of this research.

____________________

C15

Based on your opinion, please complete the following sentence using the one or two words that first come to mind. People who care a lot about the environment don't care about _____.
People who care a lot about climate change don't care about _____.
People who care a lot about the economy don’t care about _____.
People who care a lot about climate change also care about _____.

Character limit: 30

____________________

C15a

In your opinion, is it more important to limit climate change or to grow Canada’s economy?

C16IntNone

In the next few questions, you will be asked about Canada’s national price on carbon pollution (sometimes referred to as a ‘carbon tax’). For the provinces where this system is in place, most of this money is returned to households through regular payments.

C16IntNeutral

In the next few questions, you will be asked about Canada’s national price on carbon pollution (sometimes referred to as a ‘carbon tax’). For the provinces where this system is in place, most of this money is returned to households through regular payments. Carbon pricing has been identified as an efficient and effective way to limit climate change in Canada.

C16IntEconomist

In the next few questions, you will be asked about Canada’s national price on carbon pollution (sometimes referred to as a ‘carbon tax’). For the provinces where this system is in place, most of this money is returned to households through regular payments. Economists have identified carbon pricing as an efficient and effective way to limit climate change in Canada.

C16IntClimSci

In the next few questions, you will be asked about Canada’s national price on carbon pollution (sometimes referred to as a ‘carbon tax’). For the provinces where this system is in place, most of this money is returned to households through regular payments. Climate scientists have identified carbon pricing as an efficient and effective way to limit climate change in Canada.

C16

Do you agree or disagree that carbon pricing…

C16a

How much would you support or oppose a national price on carbon if you found out that the money collected were used to…

C17

Have you ever heard of offset credits (also known as carbon credits or carbon offsets)?

C17aInt

Offset credits are issued to industry for the voluntary reduction, or removal from the atmosphere, of greenhouse gas emissions. Firms can then sell these credits in a carbon market, where other firms may buy and use them to comply with regulations or meet voluntary emissions reduction goals.

Regular Canadians can also buy these credits to reduce the impact of their product purchases or activities. For example, when booking a flight you could buy offset credits to account for the flight's environmental impact.

C17b

How much do you support or oppose the following environmental policies ?

C17c

Please rate your agreement or disagreement with the following statements:

C18Int

'Repairability' refers to how easily something can be repaired and maintained. It might include the cost of repairs, how available parts, tools, or manuals are, and how easy it is to repair something yourself instead of taking it to a professional.

C18

Think about what's important to you when deciding to purchase each of the following types of products. For each group, how important is repairability compared to other factors like cost, design, brand, features, and quality?

C11

How long ago, if ever, did you last buy or sign a lease on a personal vehicle (e.g., your own car)?

C11a

Was that vehicle new or used?

C11b

What class of vehicle was it?

C11c

What type of vehicle was it (i.e., in terms of motor/engine)?

C11d

Have you ever owned or leased an electric vehicle that’s not a hybrid?

C11e

To your knowledge, what are the main advantages of owning or leasing an electric vehicle?

Please do not enter personally identifying information (e.g., name, email address, phone number, mailing address), as anything you enter may be shared with the sponsor of this research.

____________________

C11f

To your knowledge, what are the main disadvantages of owning or leasing an electric vehicle?

Please do not enter personally identifying information (e.g., name, email address, phone number, mailing address), as anything you enter may be shared with the sponsor of this research.

____________________

C9

Please indicate whether you support or oppose further development of the following energy resources in Canada.

C13c

Do you have a park (or other natural space), where you would generally want to spend time, within a five minute walk from your home? This might be year-round, or just in certain seasons.

C13d

You indicated that you do not have a park (or other natural space) where you would generally want to spend time within a five minute walk of your home. Please tell us a bit more about what you mean by that and why (e.g., there are no parks nearby, the nearby parks are not high quality, they are only appealing during certain times of year, etc.).

____________________

C15b

If the federal government had a budget surplus, should it use it to reduce taxes or increase spending on social services?

D1

About the World Around You Below you will find brief descriptions of different people. Please read each description carefully and indicate how much this person is like you.

D4a

Please rate your agreement or disagreement with the following statements.

D2

Please rate your agreement or disagreement with the following statements.

D3

Please rate your agreement or disagreement with the following statement.

D4

Please give your opinion on the following statement. I am the type of person who acts in an environmentally-friendly way .

D5

All things considered, how satisfied are you with your life as a whole?

D5a

To what extent do you feel that the things you do in your life are worthwhile?

D5b

Would you say your health is… ?

D6

To what extent do you trust or distrust the following people/groups to make good decisions about climate change?

D6c

To what extent do you trust or distrust the following people/groups to make good decisions about climate change?

D6a

In general, to what extent do you trust or distrust the following people/groups to make good decisions in the best interest of Canadians?

D6b

Please rate your agreement or disagreement with the following statements.

D6d

Please indicate whether, in general, you trust or distrust the Canadian federal government.

D6e

Please rate your agreement or disagreement with the following statements about the Canadian federal government :

D6f

To what extent do you trust or distrust the Government of Canada to make decisions about climate change that are in the best interest of Canada?

D7

How often do you come across information about climate change from the following sources?

D7a

In general, how often do you use the following sources of information?

D7b

How closely, if at all, have you been following news on climate change over the past month?

D7e

In your own words, please list the main sources that you use when looking for information about climate change (e.g., specific websites, radio or TV channels, organizations, individuals, social media, or any other preferred source).

Please do not enter personally identifying information (e.g., name, email address, phone number, mailing address), as anything you enter may be shared with the sponsor of this research.

____________________

D7c

To what extent do you trust or distrust the following sources for information on climate change?

D7d

In the past month, how often did you use each of the following platforms?

D8

Please rate your agreement or disagreement with the following statements.

D8a

For each of the statements below, please use the scale (0%-100%) to indicate how likely it is that the statement is true. Remember that there are no “objectively” right or wrong answers. We are interested in your personal opinion.

D9

Please indicate the extent to which you agree with the following statements.

D10

How concerned are you about the spread of misinformation and disinformation online (i.e. news information about important topics that is verifiably false)?

D12

Below are five descriptions summarizing different ways in which Canadians think about climate change. Please read all five descriptions, and then select the description that you think most closely resembles your own thinking.

E1

A Bit More About You What is the highest level of formal education that you have completed?

E2

Which of the following best describes the place where you now live?

E3a

Are you a parent?

E3b

Are any of your children under 18?

E4

Which of the following categories best describes your current employment status?

E5

Where were you born?

E13

In what year did you immigrate to Canada?

____________________

E6

Are you First Nations, Métis or Inuk (Inuit)?

E7

You may belong to one or more racial or cultural groups on the following list. Are you…? Select all that apply

E8

Which of the following categories best describes your total household income in 2022? That is, the total income of all persons in your household combined, before taxes.

E9

How many people live in your home, including yourself?

____________________

E11

Which language do you speak most often at home?

E12

Finally, what are the first three characters of your postal code? This question is asking only to understand some things about the area you live in.

____________________

C3g

To help us improve how we ask questions and better understand the answers we receive, we would like to ask you one last follow-up question. While your identity is not disclosed, our records show that you previously reported having a heat pump in your home, and then reported not having one in a later survey. What best describes the reason for this change?

F1

Thank you for taking the time to complete this survey. What was your level of satisfaction with the survey experience? What did you like, and what would you suggest improving?

____________________

FollowUp

Thank you. We appreciate your participation and responses. There will be several follow up surveys for this study throughout the year that will allow us to track opinions and actions on this topic. Would you like to participate in the next follow up survey in a couple of months? Some questions will be different, and the survey could be shorter. Your continued participation will be greatly appreciated.

EndS

Thank you. We really appreciate your participation in this survey. Your answers will contribute to scientific knowledge and help improve government policy. If you have any questions about this survey, please contact iiu-uii@pco-bcp.gc.ca .

(Status code -1)