Perceptions of CO2 Report - Global CCS Institute

CO 2 relatedactivityInformationgatheringtopicsDemographicsNationalNGO - -0.075 ** -0.050 *LocalNGO -0.054 ** - -0.060 **Friend - - -Website - - 0.045 *UNagency 0.093 ** 0.102 ** 0.080 **Activity - - -0.066 **Nature - - -Environment - - -0.078 **Physics - - -News - -0.062 ** -Technology - - -Biology - - -Science - - -Univ_dmy - - 0.049 *Female_dmy -0.094 ** -0.118 ** -0.078 **U20s_dmy - - -a30s_dmy - - -a40s_dmy - - -a50s_dmy - - 0.054 **O60s_dmy 0.041 * - 0.078 **Csea_dmy - - -Adjusted R-squared 0.137 0.134 0.173Note) *: significant level below 5%, **: significant level below 1%(MC): the covariate is excluded from the regression analysis because of high multicollinearity with other covariate(VIF is higher than 10)Although the adjusted R-squared (0.134 – 0.173) indicates the regressions did not fully explain thefactors that influence respondents’ opinion formation about CCS implementation, the covariates ofvalue and beliefs category and trustworthy source category did mainly explain the opinions on CCSimplementation across the three regressions as found below.• The largest covariates to explain opinion on CCS in country were “Developer” (trustworthysource) providing a positive effect, “Female dummy” providing a negative effect, UNAgency” (trustworthy source) providing a positive effect, “NationalGov” (nationalgovernment as a trustworthy source) providing a positive effect and “Risk” (support for theopinion for our society to accept some risks related to new technologies) providing apositive effect.• The largest covariates to explain opinion on CCS onshore (neighbourhood) were“Developer” providing a positive effect, “Female dummy”, “NationalGov” providing a positiveeffect, “MoreTax” (refusal to pay more tax to address climate change) providing a negativeeffect, “UN Agency” providing a positive effect, and “Risk” providing a positive effect.• The largest covariates to explain opinion on CCS offshore (neighbourhood) were“NationalGov” providing a positive effect, “Risk” providing a positive effect, “MoreTax”,“Developer” providing a positive effect, “Scientist” providing a positive effect and “UNAgency” providing a positive effect.• Some covariates were commonly statistically significant across the three regressions.“Risk” has a positive influence (beta 0.08-0.11, p < 0.01) and “More tax” had a negativeinfluence (beta -0.06 – -0.1, p < 0.01) in the value and beliefs category. A person’s tendencyto accept technology related risk and support for using tax money to address climatechange correlated to support of CCS implementation.88 | Understanding how individuals perceive carbon dioxide