Table 1.
Research questions and the data sources used to answer each.
Table 2.
Details of proposals developed by the jury.
Fig 1.
Polling results: Levels of support for each proposal (See S3 Text for exact question wording for each proposal).
Fig 2.
Levels of agreement in poll responses with the statement: “Introducing this measure would help reduce consumption of high-carbon products and services”.
Table 3.
The name, percentage of respondents and mean proposal support scores for each cluster.
Table 4.
Demographic and attitudinal markers for each cluster.
Fig 3.
Results of final voting on proposals by jury members.
Table 5.
approximation of percentage of variance in support for each proposal explained by clusters. Calculated using Nagelkerke’s pseudo-R2.
Table 6.
The impact of efficacy on likelihood of higher support for each proposal (odds ratio) and overall fit of the model (percentage of variance).