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Electronic Supplemental Material for the study "Are Measuring Concern About the Global Climate Change Correctly? Testing a Novel Measurement Approach with the Data from 28 Countries"

Appendix 1: Socio-demographic characteristics of national samples (rel. frequencies, means, and counts).

Country Proportion of males [%]

Avr. age

Proportion of people with university or college education [%]1

Sample size

Austria 47.4 47.7 22.5 1019Belgium 48.5 49.6 49.1 1077Bulgaria 46.7 49.6 34.5 1026Croatia 44.3 42.9 35.3 1002Cyprus (Republic) 46.8 49.3 36.6 500Czech Republic 42.1 46.0 23.5 1018Denmark 48.6 54.9 80.3 1010Estonia 40.7 50.3 49.7 1012Finland 45 55.0 61.6 971France 46.3 50.5 42.3 1022Germany 49.5 51.0 33.6 1600Greece 48.6 47.3 39.2 1007Hungary 41.5 48.4 21.1 1012Ireland 44 47.0 36.3 1007Italy 44 46.9 28.2 1019Latvia 45.5 43.2 43.6 1011Lithuania 45.4 46.3 47.8 1023Luxembourg 40.6 51.1 49.6 510Malta 40.6 55.1 18.6 500Netherlands 45.5 52.3 56.8 1037Poland 38.8 48.2 39.2 1000Portugal 44.6 51.2 23.1 1055Romania 50.5 48.9 34.1 1013Slovakia 42.8 46.1 28.6 1000Slovenia 41.7 50.7 38.3 1113Spain 46.9 47.2 32.1 1013Sweden 50.6 57.1 70.8 1011United Kingdom 46.5 52.0 28.8 1331

Note: 1 People who finished their full-time studies education at age of 20 or at higher age.

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Appendix 2: Wording and coding of items used in the Campbellian scale of GCC concern.

Item QuestionAnswer categories coded as 1 (0 otherwise)

CarYou have bought a new car and its low fuel consumption was an important factor in your choice. Yes (No).

TransportYou regularly use environmentally-friendly alternatives to using your private car such as walking, biking, taking public transport or car-sharing. Yes (No).

Insulation You have insulated your home better to reduce your energy consumption. Yes (No).Home You have bought a low-energy home. Yes (No).

AppliancesWhen buying a new household appliance e.g. washing machine, fridge or TV, you choose it mainly because it was more energy efficient than other models. Yes (No).

SupplierYou have switched to an energy supplier which offers a greater share of energy from renewable sources than your previous one. Yes (No).

Food You buy locally produced and seasonal food whenever possible. Yes (No).Flying You avoid taking short-haul flights whenever possible Yes (No).Waste You try to reduce your waste and you regularly separate it for recycling. Yes (No).

DisposableYou try to cut down on your consumption of disposal items whenever possible, e.g. plastic bags from the supermarket, excessive packaging. Yes (No).

GccpolicyFighting climate change and using energy more efficiently can boost the economy and jobs in the EU.

Totally agree, tend to agree (tend to disagree, totally disagree coded).

Fossilpolicy Reducing fossil fuel imports from outside the EU could benefit the EU economically.

Totally agree, tend to agree (tend to disagree, totally disagree coded).

Renewpolicy

How important do you think it is that the our [nationality specified for each national sample] government sets targets to increase the amount of renewable energy used, such as wind or solar power, by 2030? (1=very important; 2=fairly important; 3=not very important; 4=not at all important)

Very important, fairly important (not very important, not important at all).

Efficpolicy

How important do you think it is that the our [nationality specified for each national sample] government provides support for improving energy efficiency (for example, by encouraging people to insulate their home or purchase low energy light bulbs) by 2030?

Very important, fairly important (not very important, not important at all).

Note: Names of evaluative items are in italics.

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Appendix 3: Country-specific evaluative rating of GCC concern (rel. probabilities).

Concern rating AT BE BG HR CY CZ DK EE FI FR DE GR HU IE IT LV1 = Not at all a serious problem 0% 1% 0% 2% 2% 1% 2% 8% 3% 1% 1% 1% 1% 2% 0% 5%

2 1% 1% 1% 1% 1% 2% 2% 3% 2% 1% 1% 0% 0% 2% 1% 4%3 2% 2% 2% 2% 2% 3% 4% 7% 4% 2% 3% 1% 1% 4% 1% 5%4 4% 4% 4% 3% 3% 4% 4% 8% 8% 4% 4% 1% 3% 6% 1% 7%5 7% 9% 9% 13% 8% 13% 16% 25% 14% 16% 11% 6% 6% 19% 5% 23%6 10% 13% 14% 10% 10% 9% 14% 12% 15% 11% 8% 5% 8% 14% 7% 14%7 14% 24% 15% 16% 13% 17% 19% 16% 21% 21% 15% 15% 15% 21% 14% 15%8 21% 25% 19% 20% 21% 20% 20% 9% 20% 20% 21% 26% 24% 17% 25% 13%9 13% 10% 15% 11% 12% 12% 6% 5% 5% 8% 11% 20% 14% 8% 14% 4%

10 = An extremely serious problem 28% 12% 21% 22% 28% 20% 13% 7% 8% 16% 27% 24% 28% 8% 32% 10%N (valid) 1009 1072 994 1000 497 1014 1007 989 965 1012 1595 1007 999 988 1015 992

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Appendix 3 (continued).

Concern rating LT LU MT NL PL PT RO SK SI ES SE UK1 = Not at all a serious problem 3% 2% 1% 3% 3% 0% 1% 1% 1% 1% 1% 3%

2 2% 1% 0% 1% 2% 1% 1% 0% 0% 1% 1% 3%3 3% 1% 2% 4% 4% 2% 4% 1% 3% 1% 3% 5%4 3% 4% 2% 5% 5% 3% 4% 2% 2% 2% 4% 8%5 16% 14% 10% 14% 12% 7% 13% 7% 9% 6% 11% 21%6 10% 10% 12% 16% 10% 8% 11% 7% 10% 7% 10% 15%7 14% 21% 15% 27% 17% 13% 17% 16% 17% 19% 24% 20%8 19% 19% 24% 21% 20% 24% 18% 24% 20% 23% 22% 13%9 12% 9% 10% 4% 10% 16% 12% 13% 11% 14% 8% 5%

10 = An extremely serious problem 17% 20% 24% 5% 18% 26% 18% 28% 27% 26% 17% 7%N (valid) 1006 507 492 1030 974 1038 968 995 1097 998 1009 1298

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Appendix 4: OLS regression analysis of background variables predicting the evaluative measure of GCC concern.

  Austria Belgium Bulgaria Croatia  b SE t p b SE t p b SE t p b SE t pIntercept 7.24 0.29 24.89 .000 7.00 0.27 25.69 .000 8.42 0.33 25.79 .000 7.22 0.30 23.99 .000Female 0.27 0.14 1.98 .048 -0.15 0.12 -1.22 .224 -0.16 0.13 -1.21 .225 0.28 0.15 1.87 .061Age 15-29 -0.19 0.23 -0.81 .421 -0.18 0.23 -0.79 .429 -0.73 0.28 -2.63 .009 -0.36 0.23 -1.53 .126Age 30-44*Age 45-64 0.36 0.18 1.97 .050 -0.08 0.19 -0.45 .656 -0.33 0.19 -1.77 .078 0.18 0.20 0.90 .368Age 65+ 0.31 0.22 1.41 .158 -0.24 0.21 -1.13 .261 -0.47 0.22 -2.16 .031 0.44 0.28 1.59 .111Rural 0.46 0.16 2.81 .005 0.06 0.14 0.45 .656 -0.20 0.18 -1.07 .283 0.27 0.17 1.56 .120Small & mid-sized towns*Large towns 0.23 0.17 1.34 .179 0.31 0.17 1.82 .069 -0.62 0.17 -3.68 .000 0.24 0.21 1.13 .260Hhsize 0.00 0.09 -0.01 .995 0.01 0.07 0.18 .858 -0.02 0.07 -0.36 .720 -0.04 0.07 -0.51 .613Kids 0.56 0.19 2.99 .003 -0.04 0.17 -0.24 .814 -0.12 0.19 -0.65 .517 0.16 0.18 0.87 .384University 0.28 0.20 1.41 .160 0.39 0.13 2.94 .003 0.55 0.17 3.25 .001 -0.27 0.18 -1.51 .131Low class -0.20 0.15 -1.34 .180 0.15 0.14 1.11 .267 0.04 0.18 0.22 .824 -0.25 0.16 -1.53 .125Middle class*High class -0.12 0.39 -0.31 .757 -0.27 0.40 -0.67 .502 0.10 1.33 0.08 .940 0.27 0.41 0.67 .506Wealth - low -0.06 0.33 -0.18 .855 0.14 0.26 0.55 .585 0.12 0.16 0.72 .470 -0.05 0.25 -0.21 .835Wealth - middl*Wealth - high -0.12 0.16 -0.76 .448 0.08 0.14 0.53 .597 -0.53 0.17 -3.08 .002 0.10 0.17 0.59 .556Adj. R2 .024 .006 .042 .015F-test F(13,806) = 2.556, p= .002 F(13,945) = 1.44, p= .135 F(13,774) = 3.683, p < .001 F(13,811) = 1.965, p= .021

Note: Unstandardized regression coefficient, b, is reported. The following background variables were included in the regression model: female (1 if respondent was female, 0 if he was male), age (4 dummy-coded variables for age categories: 15-29, 30-44, 45-64, 65 and more), type of living area (3 dummy-coded variables: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the household), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, 0 otherwise), social class (3 dummy-coded variables capturing self-reported social class: low, middle, high), wealth (3 dummy-coded variables capturing self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never" respectively). Asterisk (*) denotes reference category for dummy-coded variables.

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Appendix 4 (continued).

  Cyprus (Republic) Czech Republic Denmark Estonia  b SE t p b SE t p b SE t p b SE t pIntercept 7.44 0.47 15.92 .000 7.51 0.30 25.25 .000 6.29 0.49 12.73 .000 5.79 0.39 14.82 .000Female 0.56 0.21 2.66 .008 0.16 0.14 1.14 .254 0.18 0.14 1.28 .201 0.60 0.17 3.63 .000Age 15-29 -0.35 0.40 -0.89 .375 -0.40 0.24 -1.68 .094 -0.36 0.40 -0.89 .376 -0.50 0.29 -1.70 .089Age 30-44*Age 45-64 -0.34 0.30 -1.12 .263 -0.39 0.19 -2.08 .038 0.07 0.24 0.29 .772 -0.51 0.25 -2.05 .041Age 65+ -0.12 0.34 -0.35 .724 0.13 0.25 0.54 .591 -0.16 0.26 -0.59 .553 -0.55 0.27 -2.03 .043Rural -0.30 0.26 -1.12 .263 0.29 0.17 1.76 .078 -0.50 0.17 -2.98 .003 -0.29 0.20 -1.43 .153Small & mid-sized towns*Large towns -0.23 0.25 -0.90 .368 0.27 0.18 1.55 .121 0.07 0.18 0.37 .715 -0.25 0.21 -1.18 .238Hhsize 0.09 0.11 0.86 .390 0.08 0.07 1.06 .288 0.03 0.10 0.31 .760 -0.09 0.10 -0.87 .385Kids 0.03 0.27 0.11 .910 -0.40 0.18 -2.20 .028 0.38 0.23 1.63 .104 -0.38 0.23 -1.62 .105University -0.30 0.25 -1.20 .230 0.17 0.19 0.87 .385 0.37 0.18 2.07 .039 0.22 0.18 1.24 .217Low class 0.36 0.23 1.58 .115 -0.42 0.15 -2.75 .006 0.19 0.18 1.06 .289 0.19 0.18 1.07 .283Middle class*High class -0.06 0.71 -0.09 .929 -0.34 0.46 -0.74 .458 0.25 0.39 0.63 .530 0.34 0.79 0.43 .664Wealth - low 0.14 0.27 0.53 .597 0.07 0.26 0.26 .795 -1.69 1.01 -1.67 .096 0.16 0.34 0.46 .643Wealth - middl*Wealth - high 0.11 0.25 0.45 .657 -0.25 0.16 -1.60 .109 0.10 0.38 0.26 .795 0.10 0.20 0.49 .627Adj. R2 .005 .017 .024 .016F-test F(13,430) = 1.186, p= .286 F(13,892) = 2.222, p= .007 F(13,867) = 2.636, p= .001 F(13,820) = 2.018, p= .017

Note: Unstandardized regression coefficient, b, is reported. The following background variables were included in the regression model: female (1 if respondent was female, 0 if he was male), age (4 dummy-coded variables for age categories: 15-29, 30-44, 45-64, 65 and more), type of living area (3 dummy-coded variables: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the household), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, 0 otherwise), social class (3 dummy-coded variables capturing self-reported social class: low, middle, high), wealth (3 dummy-coded variables capturing self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never" respectively). Asterisk (*) denotes reference category for dummy-coded variables.

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Appendix 4 (continued).

  Finland France Germany Greece  b SE t p b SE t p b SE t p b SE t pIntercept 6.35 0.42 14.97 .000 6.79 0.30 23.04 .000 6.94 0.28 24.85 .000 8.19 0.25 32.66 .000Female 0.62 0.15 4.06 .000 0.03 0.13 0.18 .854 0.55 0.12 4.76 .000 0.20 0.12 1.74 .083Age 15-29 -0.04 0.36 -0.10 .921 -0.51 0.24 -2.15 .032 0.16 0.23 0.68 .494 0.12 0.22 0.54 .591Age 30-44*Age 45-64 -0.07 0.27 -0.27 .786 0.17 0.21 0.79 .431 0.26 0.18 1.43 .154 0.17 0.16 1.09 .276Age 65+ 0.00 0.29 -0.01 .994 -0.02 0.24 -0.06 .949 -0.13 0.20 -0.64 .526 0.16 0.19 0.83 .407Rural 0.23 0.18 1.23 .218 0.06 0.15 0.43 .667 -0.06 0.14 -0.46 .646 -0.25 0.17 -1.52 .129Small & mid-sized towns*Large towns 0.34 0.20 1.76 .079 0.54 0.19 2.80 .005 -0.34 0.14 -2.35 .019 -0.03 0.15 -0.21 .837Hhsize 0.02 0.11 0.13 .895 0.06 0.08 0.77 .440 0.08 0.08 1.07 .284 -0.07 0.06 -1.11 .267Kids 0.27 0.26 1.06 .291 0.00 0.19 0.02 .983 -0.19 0.18 -1.06 .290 0.01 0.16 0.08 .936University 0.33 0.17 1.98 .048 0.24 0.15 1.58 .115 0.05 0.14 0.37 .712 -0.06 0.14 -0.45 .653Low class -0.39 0.16 -2.39 .017 0.13 0.15 0.88 .378 0.17 0.13 1.27 .206 -0.31 0.13 -2.38 .018Middle class*High class -0.07 0.39 -0.19 .849 0.02 0.41 0.06 .954 -1.06 0.37 -2.84 .005 0.55 0.87 0.63 .529Wealth - low 0.31 0.46 0.66 .509 0.10 0.21 0.47 .638 0.10 0.31 0.31 .755 0.17 0.13 1.32 .186Wealth - middl*Wealth - high -0.54 0.25 -2.14 .032 -0.19 0.16 -1.20 .230 0.30 0.17 1.79 .074 0.10 0.20 0.51 .609Adj. R2 .052 .014 .029 .006F-test F(13,755) = 4.229, p < .001 F(13,912) = 2.005, p= .018 F(13,1375) = 4.204, p < .001 F(13,880) = 1.43, p= .139

Note: Unstandardized regression coefficient, b, is reported. The following background variables were included in the regression model: female (1 if respondent was female, 0 if he was male), age (4 dummy-coded variables for age categories: 15-29, 30-44, 45-64, 65 and more), type of living area (3 dummy-coded variables: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the household), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, 0 otherwise), social class (3 dummy-coded variables capturing self-reported social class: low, middle, high), wealth (3 dummy-coded variables capturing self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never" respectively). Asterisk (*) denotes reference category for dummy-coded variables.

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Appendix 4 (continued).

  Hungary Ireland Italy Latvia  b SE t p b SE t p b SE t p b SE t pIntercept 7.82 0.29 26.97 .000 6.73 0.33 20.52 .000 8.15 0.23 35.60 .000 5.89 0.35 17.06 .000Female 0.12 0.13 0.94 .348 0.08 0.14 0.56 .575 0.18 0.12 1.48 .139 0.33 0.17 1.96 .050Age 15-29 0.02 0.22 0.08 .937 -0.43 0.25 -1.77 .078 0.07 0.23 0.30 .763 -0.13 0.24 -0.55 .586Age 30-44*Age 45-64 -0.21 0.17 -1.23 .221 0.05 0.20 0.25 .803 -0.04 0.15 -0.29 .771 -0.03 0.22 -0.13 .897Age 65+ -0.01 0.22 -0.07 .948 -0.17 0.24 -0.68 .497 -0.24 0.20 -1.22 .221 -0.27 0.28 -0.94 .346Rural -0.44 0.16 -2.83 .005 -0.39 0.19 -2.07 .039 0.05 0.17 0.28 .777 0.18 0.20 0.88 .381Small & mid-sized towns*Large towns 0.19 0.16 1.20 .229 -0.23 0.18 -1.26 .208 0.32 0.16 2.07 .039 0.18 0.21 0.85 .394Hhsize 0.08 0.08 0.97 .331 -0.01 0.08 -0.13 .894 -0.05 0.06 -0.91 .361 0.01 0.08 0.07 .943Kids -0.18 0.17 -1.08 .280 -0.30 0.18 -1.72 .086 0.01 0.15 0.04 .965 -0.14 0.20 -0.67 .503University 0.14 0.18 0.77 .441 0.38 0.17 2.19 .029 -0.14 0.15 -0.89 .377 0.08 0.17 0.46 .646Low class 0.19 0.14 1.34 .180 0.02 0.15 0.15 .882 0.03 0.13 0.25 .802 -0.31 0.18 -1.76 .079Middle class*High class -0.02 0.72 -0.03 .975 0.28 0.68 0.41 .684 -1.04 0.29 -3.63 .000 0.47 0.63 0.76 .449Wealth - low 0.52 0.20 2.61 .009 0.43 0.21 2.09 .037 0.12 0.18 0.69 .488 0.23 0.24 0.94 .346Wealth - middl*Wealth - high -0.13 0.14 -0.88 .377 0.02 0.16 0.10 .922 0.39 0.14 2.89 .004 0.08 0.18 0.44 .661Adj. R2 .025 .009 .02 .001F-test F(13,854) = 2.678, p = 0.001 F(13,831) = 1.593, p = 0.081 F(13,845) = 2.347, p = 0.004 F(13,837) = 1.07, p = 0.382

Note: Unstandardized regression coefficient, b, is reported. The following background variables were included in the regression model: female (1 if respondent was female, 0 if he was male), age (4 dummy-coded variables for age categories: 15-29, 30-44, 45-64, 65 and more), type of living area (3 dummy-coded variables: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the household), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, 0 otherwise), social class (3 dummy-coded variables capturing self-reported social class: low, middle, high), wealth (3 dummy-coded variables capturing self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never" respectively). Asterisk (*) denotes reference category for dummy-coded variables.

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Appendix 4 (continued).

  Lithuania Luxembourg Malta Netherlands  b SE t p b SE t p b SE t p b SE t pIntercept 6.55 0.35 18.73 .000 7.26 0.47 15.61 .000 7.10 0.50 14.32 .000 6.72 0.34 20.05 .000Female 0.41 0.16 2.58 .010 0.40 0.20 2.02 .044 0.07 0.20 0.37 .712 0.17 0.13 1.33 .185Age 15-29 0.71 0.26 2.71 .007 0.00 0.40 0.01 .993 -0.30 0.42 -0.71 .478 -0.29 0.29 -1.02 .310Age 30-44*Age 45-64 0.30 0.23 1.28 .200 0.16 0.29 0.55 .582 0.41 0.36 1.16 .248 0.11 0.20 0.56 .573Age 65+ 0.34 0.27 1.24 .217 -0.02 0.32 -0.05 .959 0.51 0.38 1.32 .186 -0.28 0.23 -1.20 .230Rural 0.15 0.20 0.75 .456 -0.53 0.22 -2.47 .014 -0.30 0.22 -1.37 .171 -0.27 0.15 -1.85 .065Small & mid-sized towns*Large towns -0.12 0.19 -0.66 .509 0.10 0.30 0.31 .755 0.22 0.29 0.77 .443 0.19 0.17 1.15 .252Hhsize -0.05 0.09 -0.50 .615 -0.21 0.11 -1.88 .060 0.04 0.09 0.43 .669 -0.17 0.09 -1.93 .054Kids 0.59 0.22 2.68 .008 0.16 0.26 0.62 .538 -0.02 0.31 -0.08 .939 0.00 0.19 0.00 .997University 0.00 0.17 -0.01 .993 0.45 0.21 2.11 .036 0.50 0.29 1.74 .083 0.38 0.14 2.72 .007Low class 0.05 0.18 0.25 .799 0.39 0.27 1.47 .142 -0.11 0.20 -0.55 .585 -0.25 0.17 -1.45 .147Middle class*High class 0.56 0.51 1.11 .269 -0.02 0.39 -0.04 .970 2.21 1.41 1.57 .117 0.24 0.20 1.23 .221Wealth - low 0.06 0.21 0.27 .791 0.57 0.54 1.06 .291 0.52 0.32 1.62 .106 -0.06 0.31 -0.18 .861Wealth - middl*Wealth - high -0.05 0.18 -0.27 .790 0.00 0.29 -0.01 .989 0.15 0.22 0.68 .500 -0.05 0.18 -0.30 .767Adj. R2 .016 .024 .017 .031F-test F(13,800) = 2.001, p = 0.018 F(13,438) = 1.864, p = 0.032 F(13,443) = 1.603, p = 0.081 F(13,893) = 3.235, p < .001

Note: Unstandardized regression coefficient, b, is reported. The following background variables were included in the regression model: female (1 if respondent was female, 0 if he was male), age (4 dummy-coded variables for age categories: 15-29, 30-44, 45-64, 65 and more), type of living area (3 dummy-coded variables: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the household), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, 0 otherwise), social class (3 dummy-coded variables capturing self-reported social class: low, middle, high), wealth (3 dummy-coded variables capturing self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never" respectively). Asterisk (*) denotes reference category for dummy-coded variables.

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Appendix 4 (continued).

  Poland Portugal Romania Slovakia  b SE t p b SE t p b SE t p b SE t pIntercept 7.08 0.35 20.39 .000 8.36 0.28 29.56 .000 7.59 0.32 23.73 .000 8.22 0.27 29.97 .000Female -0.01 0.17 -0.06 .955 -0.10 0.13 -0.77 .444 0.22 0.15 1.45 .148 0.21 0.13 1.60 .111Age 15-29 -0.25 0.27 -0.96 .337 0.02 0.22 0.07 .945 -0.39 0.27 -1.41 .158 -0.09 0.24 -0.39 .699Age 30-44*Age 45-64 0.30 0.23 1.32 .188 0.02 0.18 0.09 .930 -0.21 0.21 -1.00 .318 0.02 0.18 0.09 .929Age 65+ 0.48 0.27 1.75 .081 0.00 0.20 -0.01 .990 -0.23 0.25 -0.92 .356 -0.41 0.23 -1.75 .080Rural -0.43 0.19 -2.32 .021 0.18 0.15 1.22 .221 -0.54 0.19 -2.83 .005 -0.12 0.15 -0.81 .421Small & mid-sized towns*Large towns 0.07 0.21 0.35 .725 0.16 0.16 1.00 .319 -0.26 0.20 -1.28 .201 -0.63 0.19 -3.39 .001Hhsize -0.10 0.08 -1.18 .240 -0.11 0.07 -1.68 .094 0.04 0.08 0.55 .584 -0.05 0.06 -0.82 .411Kids 0.40 0.22 1.85 .065 0.09 0.17 0.51 .609 -0.01 0.21 -0.04 .968 -0.28 0.18 -1.57 .117University -0.14 0.19 -0.73 .467 0.19 0.19 1.02 .308 0.12 0.18 0.69 .488 0.13 0.18 0.72 .469Low class 0.34 0.18 1.88 .060 -0.38 0.19 -2.01 .045 0.07 0.16 0.45 .656 0.04 0.15 0.27 .788Middle class*High class -0.74 0.40 -1.85 .065 0.54 0.94 0.57 .566 -0.09 0.50 -0.18 .857 0.08 0.43 0.19 .850Wealth - low -0.52 0.37 -1.41 .158 0.50 0.15 3.37 .001 -0.49 0.31 -1.56 .119 0.37 0.31 1.17 .241Wealth - middl*Wealth - high -0.04 0.18 -0.24 .809 -0.42 0.16 -2.57 .010 -0.23 0.16 -1.42 .156 0.01 0.15 0.04 .970Adj. R2 .021 .025 .008 .014F-test F(13,804) = 2.361, p = 0.004 F(13,845) = 2.724, p = 0.001 F(13,826) = 1.5, p = 0.111 F(13,829) = 1.936, p = 0.023

Note: Unstandardized regression coefficient, b, is reported. The following background variables were included in the regression model: female (1 if respondent was female, 0 if he was male), age (4 dummy-coded variables for age categories: 15-29, 30-44, 45-64, 65 and more), type of living area (3 dummy-coded variables: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the household), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, 0 otherwise), social class (3 dummy-coded variables capturing self-reported social class: low, middle, high), wealth (3 dummy-coded variables capturing self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never" respectively). Asterisk (*) denotes reference category for dummy-coded variables.

11

Appendix 4 (continued).

  Slovenia Spain Sweden United Kingdom  b SE t p b SE t p b SE t p b SE t pIntercept 7.72 0.30 26.19 .000 8.44 0.27 30.85 .000 6.72 0.46 14.73 .000 6.64 0.32 20.77 .000Female 0.32 0.14 2.35 .019 0.18 0.12 1.43 .152 0.82 0.13 6.31 .000 0.15 0.13 1.13 .260Age 15-29 -0.41 0.29 -1.42 .156 -0.06 0.21 -0.29 .774 -0.58 0.53 -1.10 .273 -0.48 0.24 -2.06 .040Age 30-44*Age 45-64 -0.08 0.20 -0.39 .694 -0.15 0.16 -0.95 .343 -0.18 0.22 -0.83 .405 -0.27 0.21 -1.32 .189Age 65+ -0.08 0.22 -0.35 .723 -0.47 0.20 -2.29 .022 -0.17 0.24 -0.72 .472 -0.82 0.22 -3.70 .000Rural -0.04 0.16 -0.25 .805 -0.19 0.14 -1.39 .165 -0.47 0.17 -2.75 .006 -0.17 0.16 -1.07 .286Small & mid-sized towns*Large towns 0.54 0.18 3.00 .003 0.26 0.18 1.45 .149 -0.10 0.15 -0.67 .505 0.03 0.15 0.16 .870Hhsize -0.13 0.07 -1.96 .050 -0.05 0.07 -0.78 .439 -0.07 0.09 -0.80 .425 0.07 0.08 0.86 .390Kids -0.10 0.19 -0.52 .601 -0.28 0.15 -1.88 .061 0.25 0.22 1.18 .237 -0.49 0.19 -2.63 .009University 0.43 0.15 2.93 .004 0.25 0.15 1.67 .096 0.34 0.15 2.27 .023 0.35 0.16 2.20 .028Low class 0.41 0.15 2.77 .006 -0.08 0.14 -0.54 .591 -0.06 0.17 -0.35 .725 0.22 0.14 1.54 .123Middle class*High class 1.38 0.57 2.43 .015 1.78 1.81 0.99 .324 0.57 0.41 1.37 .173 1.71 0.97 1.76 .078Wealth - low -0.29 0.24 -1.23 .219 0.11 0.20 0.54 .591 -0.64 0.76 -0.84 .402 -0.10 0.26 -0.40 .691Wealth - middl*Wealth - high -0.34 0.16 -2.11 .036 -0.23 0.15 -1.52 .129 0.24 0.34 0.70 .486 -0.52 0.18 -2.90 .004Adj. R2 .04 .019 .064 .031F-test F(13,916) = 3.961, p < .001 F(13,862) = 2.297, p = 0.005 F(13,909) = 5.821, p < .001 F(13,1110) = 3.794, p < .001

Note: Unstandardized regression coefficient, b, is reported. The following background variables were included in the regression model: female (1 if respondent was female, 0 if he was male), age (4 dummy-coded variables for age categories: 15-29, 30-44, 45-64, 65 and more), type of living area (3 dummy-coded variables: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the household), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, 0 otherwise), social class (3 dummy-coded variables capturing self-reported social class: low, middle, high), wealth (3 dummy-coded variables capturing self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never" respectively). Asterisk (*) denotes reference category for dummy-coded variables.

12

Appendix 5: Difficulty and fit estimates for items forming the Campbellian GCC concern measure (binary Rasch model).

  Austria Belgium Bulgaria Croatia Cyprus (Rep.) Czech Rep. Denmark EstoniaItem δ MS δ MS δ MS δ MS δ MS δ MS δ MS δ MSCar 2.52 0.88 1.83 0.98 2.48 0.78 1.86 0.89 1.87 0.96 1.85 0.93 1.11 1.01 1.76 0.91Transport 0.63 1.03 0.54 1.01 1.31 0.86 0.15 1.02 1.79 0.94 0.67 0.92 0.31 1.04 0.29 0.94Insulation 2.04 0.89 0.54 0.93 -0.10 0.95 0.65 0.98 1.27 0.83 0.85 0.90 0.84 1.01 -0.24 1.02Home 3.93 0.86 3.02 0.91 3.37 0.77 4.22 0.71 3.24 0.88 4.11 0.81 3.11 0.88 2.69 0.84Appliances 0.15 0.95 0.12 0.87 -0.40 0.94 0.42 0.83 0.36 0.85 -0.36 0.98 -0.31 0.90 -0.12 0.95Supplier 2.46 0.96 1.99 0.98 3.28 0.77 2.99 0.92 2.80 0.83 2.95 0.85 2.22 0.97 3.52 0.82Food -0.46 0.86 0.30 0.86 -0.29 0.99 -0.50 0.87 0.76 0.80 0.21 0.86 0.18 0.84 -0.49 0.92Flying 1.24 0.93 2.53 0.79 3.37 0.78 2.71 0.79 3.10 0.84 1.72 0.79 2.12 0.81 2.11 0.77Waste -1.53 0.94 -1.45 0.85 -0.04 0.92 -0.73 0.92 -1.15 0.94 -1.70 0.92 -0.99 0.88 -1.25 0.98Disposable -0.45 0.87 -0.51 0.90 -0.34 0.98 -0.43 0.89 1.24 0.77 -0.80 0.91 -0.37 0.90 -0.95 0.95Economy -1.93 0.89 -1.96 0.97 -2.99 0.80 -2.84 0.82 -2.42 0.84 -1.98 0.98 -1.90 0.95 -1.44 0.98Exports -1.98 0.93 -1.10 1.16 -2.11 0.94 -1.74 1.10 -1.77 1.09 -1.68 1.01 -0.60 1.13 -0.71 1.12Policyrenew -3.32 0.71 -2.95 0.82 -3.02 0.83 -3.67 0.74 -5.31 0.67 -2.73 0.89 -2.64 0.81 -2.41 0.85Efficiency -3.30 0.69 -2.91 0.84 -4.53 0.75 -3.10 0.85 -5.77 0.68 -3.11 0.77 -3.07 0.77 -2.76 0.82

Note: Names of evaluative items are in italics.

13

Appendix 5 (continued).

  Finland France Germany Greece Hungary Ireland Italy LatviaItem MS δ MS δ MS δ MS δ MS δ MS δ MS δ MS δCar 0.91 1.78 1.03 1.68 0.89 1.53 0.98 2.64 0.85 2.77 0.84 2.05 0.90 2.28 0.92 1.80Transport 0.94 0.35 1.00 0.96 0.95 0.11 1.03 0.69 0.92 0.73 0.94 1.28 0.88 0.99 1.10 0.01Insulation 1.02 1.33 0.99 0.57 1.02 1.37 0.92 1.21 0.84 0.86 1.00 0.45 0.98 1.42 0.96 0.53Home 0.84 3.46 0.84 2.67 0.88 3.34 0.88 3.72 0.81 2.89 0.88 3.45 0.94 2.54 0.95 3.37Appliances 0.95 0.78 0.88 0.22 0.88 0.07 0.91 0.53 0.91 -0.03 0.94 0.70 0.84 0.45 0.90 0.18Supplier 0.82 2.49 0.92 2.93 0.87 2.56 0.86 3.51 0.84 3.55 0.83 2.41 0.93 2.47 0.87 3.08Food 0.92 0.27 0.87 -0.46 0.85 -0.01 0.89 -0.03 0.97 0.35 0.87 0.39 0.85 0.16 0.84 -1.06Flying 0.77 1.24 0.82 3.25 0.73 1.30 0.83 3.11 0.76 2.26 0.76 3.04 0.76 2.15 0.83 2.65Waste 0.98 -1.37 0.85 -2.13 0.91 -1.82 0.92 -1.37 0.96 -0.83 0.93 -1.52 0.97 -0.97 0.92 -0.34Disposable 0.95 -0.53 0.85 -0.67 0.91 -1.12 0.90 0.18 0.90 -0.70 0.91 -0.67 0.91 -0.39 0.88 -0.47Economy 0.98 -2.04 0.92 -2.27 0.90 -1.66 0.93 -3.24 0.86 -2.33 0.95 -2.56 0.83 -2.18 0.81 -1.92Exports 1.12 -1.29 1.10 -1.09 1.10 -1.10 1.11 -2.56 0.87 -1.65 0.99 -1.96 0.98 -2.09 0.87 -1.19Policyrenew 0.85 -3.31 0.78 -2.73 0.80 -2.19 0.83 -4.50 0.63 -3.97 0.70 -3.12 0.77 -3.33 0.63 -2.98Efficiency 0.82 -3.15 0.85 -2.92 0.79 -2.36 0.88 -3.89 0.68 -3.89 0.75 -3.94 0.70 -3.49 0.59 -3.65

Note: Names of evaluative items are in italics.

14

Appendix 5 (continued).

  Lithuania Luxembourg Malta Netherlands Poland Portugal Romania SlovakiaItem δ MS δ MS δ MS δ MS δ MS δ MS δ MS δ MSCar 2.34 0.87 1.05 1.03 2.12 0.82 1.87 1.00 2.52 0.84 3.21 0.81 1.84 0.90 2.23 0.84Transport 1.36 0.88 0.76 1.01 1.21 0.92 0.01 0.88 1.08 0.90 0.99 0.97 0.86 0.85 0.58 0.96Insulation 0.72 0.91 0.76 0.93 2.12 0.89 0.99 0.95 1.08 0.88 1.17 0.78 0.13 0.91 0.79 0.97Home 3.94 0.74 2.65 0.90 3.45 0.80 2.68 0.90 2.58 0.94 3.53 0.80 3.17 0.86 4.61 0.74Appliances 0.30 0.87 0.21 0.87 0.20 0.75 -0.01 0.94 0.03 0.86 0.70 0.83 0.24 0.88 0.15 0.88Supplier 3.29 0.81 2.65 1.01 2.58 0.93 2.54 0.91 2.62 0.86 3.89 0.76 3.23 0.85 3.55 0.76Food -0.16 0.86 0.06 0.83 0.03 0.90 0.51 0.90 0.24 0.85 0.60 0.82 0.01 0.93 -0.16 0.87Flying 2.64 0.75 2.15 0.84 3.16 0.74 2.58 0.78 2.98 0.80 3.04 0.84 3.23 0.77 2.53 0.83Waste -1.12 0.97 -2.18 0.92 -1.63 0.98 -1.52 0.82 -1.54 1.00 -1.75 0.79 -0.12 0.95 -1.83 0.99Disposable -0.71 0.90 -0.99 0.86 -0.56 0.79 -0.78 0.89 -0.51 0.86 -0.65 0.92 0.13 0.88 -0.97 0.93Economy -2.35 0.90 -1.95 0.92 -1.99 0.94 -1.20 1.08 -2.22 0.93 -3.59 0.86 -2.78 0.87 -2.60 0.85Exports -1.94 0.99 -0.56 1.18 -1.05 1.23 -0.46 1.15 -1.86 1.03 -3.10 0.95 -1.88 1.03 -1.76 0.99Policyrenew -3.90 0.74 -2.46 0.81 -4.75 0.65 -3.64 0.76 -3.37 0.74 -3.93 0.73 -3.85 0.70 -3.23 0.75Efficiency -4.44 0.73 -2.16 0.84 -4.87 0.62 -3.57 0.75 -3.62 0.70 -4.11 0.70 -4.21 0.87 -3.88 0.74

Note: Names of evaluative items are in italics.

15

Appendix 5 (continued).

  Slovenia Spain Sweden United KingdomItem δ MS δ MS δ MS δ MSCar 2.17 0.93 2.71 0.80 1.18 1.06 1.77 0.95Transport 0.46 0.97 0.67 0.89 -0.23 0.99 0.93 0.89Insulation 0.82 0.98 2.05 0.82 1.45 0.98 0.24 0.94Home 3.23 0.88 3.88 0.83 4.21 0.80 3.54 0.84Appliances 0.15 0.86 0.36 0.81 0.76 0.97 0.43 0.86Supplier 2.78 0.83 3.15 0.85 2.75 0.84 3.03 0.88Food 0.00 0.85 0.36 0.85 -0.02 0.89 0.11 0.81Flying 2.28 0.83 3.29 0.82 0.80 0.91 2.24 0.85Waste -1.69 0.84 -2.09 0.86 -1.81 0.86 -1.93 0.82Disposable -0.70 0.93 -0.70 0.84 -0.40 0.92 -0.75 0.83Economy -1.86 0.93 -3.02 0.84 -2.93 0.77 -1.83 1.07Exports -0.84 1.18 -2.34 1.02 -0.50 1.06 -1.29 1.21Policyrenew -3.12 0.73 -4.02 0.75 -2.84 0.82 -2.61 0.92Efficiency -3.67 0.75 -4.30 0.64 -2.42 0.91 -3.88 0.77

Note: Names of evaluative items are in italics.

16

Appendix 6: OLS regression analysis of background variables predicting the Campbellian measure of GCC concern.

  Austria Belgium Bulgaria Croatia  b SE t p b SE t p b SE t p b SE t pIntercept -0.76 0.18 -4.19 .000 -0.48 0.17 -2.82 .005 -1.45 0.21 -6.96 .000 -1.14 0.16 -7.26 .000Female 0.31 0.09 3.58 .000 0.03 0.08 0.36 .719 0.00 0.09 0.00 .999 0.12 0.08 1.54 .124Age 15-29 -0.44 0.15 -3.05 .002 -0.20 0.14 -1.43 .153 -0.31 0.18 -1.77 .078 -0.16 0.12 -1.28 .200Age 30-44*Age 45-64 0.05 0.12 0.43 .664 -0.01 0.12 -0.07 .942 -0.29 0.12 -2.48 .013 0.19 0.11 1.77 .076Age 65+ 0.12 0.14 0.87 .386 -0.27 0.13 -2.04 .042 -0.61 0.14 -4.36 .000 -0.13 0.14 -0.87 .384Rural 0.34 0.10 3.31 .001 0.18 0.09 2.10 .036 -0.06 0.12 -0.54 .589 -0.03 0.09 -0.35 .724Small & mid-sized towns*Large towns 0.22 0.11 2.03 .042 -0.15 0.11 -1.40 .161 0.29 0.11 2.67 .008 0.06 0.11 0.53 .594Hhsize 0.15 0.06 2.65 .008 0.06 0.04 1.31 .189 0.04 0.04 1.05 .295 0.01 0.04 0.36 .720Kids 0.10 0.12 0.87 .387 -0.14 0.11 -1.30 .194 -0.19 0.12 -1.60 .110 0.16 0.10 1.68 .094University 0.31 0.13 2.44 .015 0.36 0.08 4.37 .000 0.41 0.11 3.75 .000 0.22 0.09 2.39 .017Low class -0.12 0.09 -1.33 .185 -0.26 0.09 -3.04 .002 -0.10 0.12 -0.86 .391 -0.20 0.09 -2.32 .021Middle class*High class -0.14 0.24 -0.58 .564 -0.36 0.25 -1.42 .156 -0.51 0.71 -0.73 .467 -0.23 0.21 -1.06 .288Wealth - low -0.10 0.20 -0.48 .633 0.17 0.16 1.02 .307 0.04 0.10 0.35 .729 0.08 0.13 0.65 .515Wealth - middle*Wealth - high -0.01 0.10 -0.12 .907 0.36 0.09 3.98 .000 0.16 0.11 1.40 .161 0.16 0.09 1.88 .060Adj. R2 .057 .081 .089 .033F-test F(13,810) = 4.811, p < .001 F(13,949) = 7.535, p < .001 F(13,789) = 7.063, p < .001 F(13,813) = 3.179, p < .001

Note: Unstandardized regression coefficient, b, is reported. The following background variables were included in the regression model: female (1 if respondent was female, 0 if he was male), age (4 dummy-coded variables for age categories: 15-29, 30-44, 45-64, 65 and more), type of living area (3 dummy-coded variables: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the household), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, 0 otherwise), social class (3 dummy-coded variables capturing self-reported social class: low, middle, high), wealth (3 dummy-coded variables capturing self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never" respectively). Asterisk (*) denotes reference category for dummy-coded variables.

17

Appendix 6 (continued).

  Cyprus (Republic) Czech Republic Denmark Estonia  b SE t p b SE t p b SE t p b SE t pIntercept -0.19 0.32 -0.61 .542 -1.10 0.15 -7.41 .000 -0.58 0.25 -2.35 .019 -1.04 0.18 -5.83 .000Female -0.01 0.14 -0.09 .931 0.16 0.07 2.26 .024 0.30 0.07 4.15 .000 0.30 0.08 3.92 .000Age 15-29 -0.33 0.27 -1.21 .228 -0.29 0.12 -2.40 .017 0.03 0.20 0.16 .875 -0.07 0.13 -0.53 .597Age 30-44*Age 45-64 -0.29 0.20 -1.41 .160 0.11 0.09 1.15 .252 -0.01 0.12 -0.12 .908 -0.13 0.11 -1.11 .266Age 65+ -1.04 0.23 -4.48 .000 0.22 0.12 1.78 .076 -0.06 0.13 -0.50 .621 -0.21 0.12 -1.72 .085Rural -0.18 0.18 -0.99 .321 0.21 0.08 2.50 .013 -0.06 0.08 -0.73 .466 0.05 0.09 0.57 .571Small & mid-sized towns*Large towns 0.11 0.17 0.61 .542 -0.15 0.09 -1.71 .088 0.04 0.09 0.40 .693 0.11 0.10 1.15 .252Hhsize -0.01 0.07 -0.14 .890 0.07 0.04 1.74 .081 0.18 0.05 3.44 .001 0.09 0.05 1.83 .068Kids -0.09 0.19 -0.47 .637 0.12 0.09 1.28 .201 0.11 0.12 0.98 .325 0.07 0.11 0.66 .512University 0.22 0.17 1.28 .200 0.02 0.10 0.20 .840 0.24 0.09 2.66 .008 0.10 0.08 1.31 .192Low class -0.46 0.16 -2.96 .003 -0.06 0.08 -0.82 .415 -0.32 0.09 -3.60 .000 -0.17 0.08 -2.10 .036Middle class*High class -0.36 0.48 -0.74 .457 0.26 0.23 1.13 .260 0.18 0.20 0.89 .372 0.08 0.36 0.22 .825Wealth - low -0.60 0.18 -3.26 .001 0.08 0.13 0.66 .512 -0.63 0.50 -1.25 .211 -0.05 0.16 -0.34 .737Wealth - middle*Wealth - high 0.16 0.17 0.94 .346 0.15 0.08 1.92 .055 0.08 0.19 0.44 .661 0.11 0.09 1.24 .215Adj. R2 .124 .038 .071 .043F-test F(13,433) = 5.861, p < .001 F(13,893) = 3.752, p < .001 F(13,870) = 6.199, p < .001 F(13,837) = 3.935, p < .001

Note: Unstandardized regression coefficient, b, is reported. The following background variables were included in the regression model: female (1 if respondent was female, 0 if he was male), age (4 dummy-coded variables for age categories: 15-29, 30-44, 45-64, 65 and more), type of living area (3 dummy-coded variables: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the household), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, 0 otherwise), social class (3 dummy-coded variables capturing self-reported social class: low, middle, high), wealth (3 dummy-coded variables capturing self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never" respectively). Asterisk (*) denotes reference category for dummy-coded variables.

18

Appendix 6 (continued).

  Finland France Germany Greece  b SE t p b SE t p b SE t p b SE t pIntercept -0.85 0.24 -3.64 .000 -0.76 0.17 -4.36 .000 -0.30 0.14 -2.15 .032 -0.78 0.20 -3.98 .000Female 0.36 0.08 4.25 .000 0.07 0.08 0.84 .399 0.05 0.06 0.86 .391 0.07 0.09 0.80 .425Age 15-29 0.01 0.20 0.06 .949 -0.47 0.14 -3.42 .001 -0.15 0.12 -1.29 .198 -0.20 0.17 -1.20 .231Age 30-44*Age 45-64 -0.07 0.15 -0.49 .623 0.13 0.13 1.03 .304 0.08 0.09 0.94 .350 0.26 0.12 2.09 .037Age 65+ -0.17 0.16 -1.03 .306 -0.10 0.14 -0.71 .477 -0.09 0.10 -0.91 .363 -0.25 0.15 -1.65 .099Rural 0.13 0.10 1.27 .206 0.18 0.09 2.13 .033 0.10 0.07 1.52 .129 -0.07 0.13 -0.50 .615Small & mid-sized towns*Large towns -0.05 0.11 -0.43 .664 -0.12 0.11 -1.02 .306 -0.07 0.07 -1.00 .320 0.06 0.12 0.53 .596Hhsize 0.17 0.06 2.74 .006 0.09 0.05 1.94 .052 0.00 0.04 0.08 .939 0.00 0.05 0.06 .952Kids 0.25 0.14 1.74 .083 -0.05 0.11 -0.41 .685 0.04 0.09 0.43 .669 0.30 0.12 2.45 .014University 0.33 0.09 3.63 .000 0.46 0.09 5.14 .000 0.39 0.07 5.81 .000 0.09 0.11 0.81 .417Low class -0.16 0.09 -1.79 .074 -0.14 0.09 -1.64 .101 -0.21 0.07 -3.21 .001 -0.15 0.10 -1.41 .158Middle class*High class 0.25 0.21 1.17 .244 -0.13 0.24 -0.54 .593 -0.02 0.18 -0.08 .933 0.09 0.68 0.12 .901Wealth - low 0.21 0.26 0.81 .421 -0.20 0.13 -1.58 .116 -0.19 0.15 -1.25 .212 -0.22 0.10 -2.11 .035Wealth - middle*Wealth - high -0.17 0.14 -1.24 .214 0.07 0.09 0.78 .434 0.20 0.08 2.45 .015 0.21 0.16 1.33 .183Adj. R2 .089 .07 .068 .043F-test F(13,757) = 6.782, p < .001 F(13,919) = 6.373, p < .001 F(13,1379) = 8.843, p < .001 F(13,880) = 4.091, p < .001

Note: Unstandardized regression coefficient, b, is reported. The following background variables were included in the regression model: female (1 if respondent was female, 0 if he was male), age (4 dummy-coded variables for age categories: 15-29, 30-44, 45-64, 65 and more), type of living area (3 dummy-coded variables: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the household), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, 0 otherwise), social class (3 dummy-coded variables capturing self-reported social class: low, middle, high), wealth (3 dummy-coded variables capturing self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never" respectively). Asterisk (*) denotes reference category for dummy-coded variables.

19

Appendix 6 (continued).

  Hungary Ireland Italy Latvia  b SE t p b SE t p b SE t p b SE t pIntercept -1.36 0.18 -7.63 .000 -1.25 0.21 -5.97 .000 -0.70 0.16 -4.42 .000 -1.36 0.15 -8.84 .000Female 0.06 0.08 0.75 .451 0.05 0.09 0.50 .620 0.04 0.08 0.42 .672 0.08 0.08 1.05 .294Age 15-29 -0.33 0.14 -2.42 .016 -0.34 0.16 -2.19 .029 0.11 0.16 0.70 .483 -0.16 0.11 -1.53 .127Age 30-44*Age 45-64 -0.04 0.11 -0.42 .676 0.31 0.13 2.43 .015 0.15 0.10 1.45 .147 0.03 0.10 0.32 .752Age 65+ -0.35 0.13 -2.69 .007 0.15 0.16 0.97 .334 -0.05 0.14 -0.33 .740 -0.12 0.13 -0.97 .332Rural 0.18 0.10 1.87 .062 -0.07 0.12 -0.61 .543 0.45 0.11 3.97 .000 0.23 0.09 2.56 .011Small & mid-sized towns*Large towns 0.53 0.10 5.47 .000 0.10 0.12 0.83 .409 0.10 0.11 0.93 .352 0.33 0.09 3.59 .000Hhsize 0.13 0.05 2.73 .006 0.09 0.05 1.89 .059 -0.02 0.04 -0.54 .593 0.07 0.04 1.76 .079Kids 0.02 0.10 0.19 .847 0.19 0.11 1.68 .093 0.00 0.10 -0.01 .990 -0.07 0.09 -0.80 .425University 0.40 0.11 3.58 .000 0.46 0.11 4.11 .000 0.10 0.11 0.91 .366 0.20 0.08 2.55 .011Low class -0.07 0.09 -0.78 .435 -0.04 0.10 -0.40 .693 -0.07 0.09 -0.80 .426 -0.31 0.08 -3.92 .000Middle class*High class 0.41 0.44 0.92 .358 -0.25 0.44 -0.57 .572 -0.50 0.20 -2.53 .011 -0.12 0.28 -0.44 .662Wealth - low 0.12 0.12 0.97 .334 0.00 0.13 0.00 .999 -0.22 0.12 -1.86 .063 -0.08 0.11 -0.80 .427Wealth - middle*Wealth - high 0.12 0.09 1.33 .185 0.27 0.10 2.67 .008 0.22 0.09 2.31 .021 0.06 0.08 0.76 .445Adj. R2 .079 .046 .035 .054F-test F(13,864) = 6.819, p < .001 F(13,846) = 4.172, p < .001 F(13,847) = 3.434, p < .001 F(13,851) = 4.764, p < .001

Note: Unstandardized regression coefficient, b, is reported. The following background variables were included in the regression model: female (1 if respondent was female, 0 if he was male), age (4 dummy-coded variables for age categories: 15-29, 30-44, 45-64, 65 and more), type of living area (3 dummy-coded variables: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the household), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, 0 otherwise), social class (3 dummy-coded variables capturing self-reported social class: low, middle, high), wealth (3 dummy-coded variables capturing self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never" respectively). Asterisk (*) denotes reference category for dummy-coded variables.

20

Appendix 6 (continued).

  Lithuania Luxembourg Malta Netherlands  b SE t p b SE t p b SE t p b SE t pIntercept -1.28 0.20 -6.35 .000 0.23 0.27 0.86 .392 -0.01 0.34 -0.03 .975 -0.25 0.21 -1.24 .215Female 0.13 0.09 1.36 .173 0.27 0.12 2.31 .021 -0.12 0.13 -0.91 .366 0.45 0.08 5.75 .000Age 15-29 0.11 0.15 0.72 .469 -0.20 0.23 -0.86 .388 -0.14 0.29 -0.49 .626 -0.56 0.18 -3.20 .001Age 30-44*Age 45-64 -0.07 0.14 -0.53 .595 0.17 0.17 1.05 .296 -0.22 0.24 -0.91 .363 -0.05 0.12 -0.41 .685Age 65+ -0.47 0.16 -3.01 .003 -0.21 0.19 -1.14 .256 -0.56 0.26 -2.14 .033 -0.44 0.14 -3.09 .002Rural 0.11 0.11 1.00 .318 -0.15 0.13 -1.18 .241 0.12 0.15 0.81 .417 -0.18 0.09 -1.99 .047Small & mid-sized towns*Large towns -0.10 0.11 -0.90 .367 0.00 0.18 0.01 .995 0.32 0.20 1.61 .109 -0.19 0.10 -1.92 .055Hhsize -0.03 0.05 -0.51 .613 -0.04 0.06 -0.57 .568 -0.03 0.06 -0.45 .656 0.03 0.05 0.51 .608Kids 0.11 0.13 0.87 .386 0.04 0.15 0.23 .818 0.00 0.21 0.00 --1.000 0.03 0.11 0.24 .813University 0.04 0.10 0.39 .700 0.33 0.12 2.67 .008 0.47 0.20 2.37 .018 0.23 0.09 2.68 .007Low class 0.03 0.10 0.34 .738 -0.38 0.15 -2.48 .013 -0.31 0.14 -2.29 .022 -0.38 0.11 -3.56 .000Middle class*High class 0.19 0.29 0.63 .528 0.06 0.22 0.26 .798 -1.16 0.98 -1.19 .235 -0.09 0.12 -0.73 .467Wealth - low -0.08 0.12 -0.65 .514 0.07 0.31 0.21 .834 0.13 0.22 0.57 .572 -0.16 0.19 -0.83 .407Wealth - middle*Wealth - high 0.01 0.10 0.09 .930 -0.16 0.17 -0.95 .344 0.17 0.15 1.12 .264 0.18 0.11 1.63 .104Adj. R2 .018 .046 .044 .088F-test F(13,807) = 2.127, p= .011 F(13,441) = 2.702, p= .001 F(13,450) = 2.645, p= .001 F(13,897) = 7.747, p < .001

Note: Unstandardized regression coefficient, b, is reported. The following background variables were included in the regression model: female (1 if respondent was female, 0 if he was male), age (4 dummy-coded variables for age categories: 15-29, 30-44, 45-64, 65 and more), type of living area (3 dummy-coded variables: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the household), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, 0 otherwise), social class (3 dummy-coded variables capturing self-reported social class: low, middle, high), wealth (3 dummy-coded variables capturing self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never" respectively). Asterisk (*) denotes reference category for dummy-coded variables.

21

Appendix 6 (continued).

  Poland Portugal Romania Slovakia  b SE t p b SE t p b SE t p b SE t p

Intercept -1.17 0.17 -6.85 .000 -0.100.20 -0.49 .621 -1.09 0.19 -5.72 .000 -0.63 0.18 -3.56 .000

Female 0.07 0.08 0.83 .408 -0.080.09 -0.82 .415 0.05 0.09 0.53 .598 0.18 0.09 2.14 .033

Age 15-29 -0.23 0.13 -1.79 .073 -0.360.16 -2.23 .026 -0.30 0.16 -1.84 .067 -0.02 0.15 -0.10 .920

Age 30-44*

Age 45-64 0.04 0.11 0.34 .736 -0.180.13 -1.45 .149 -0.14 0.12 -1.13 .259 0.14 0.12 1.24 .216

Age 65+ -0.07 0.13 -0.53 .600 -0.470.15 -3.25 .001 -0.33 0.15 -2.23 .026 -0.29 0.15 -1.95 .052

Rural -0.06 0.09 -0.66 .512 -0.090.11 -0.81 .416 -0.47 0.11 -4.12 .000 -0.12 0.10 -1.23 .218

Small & mid-sized towns*

Large towns 0.11 0.10 1.07 .284 -0.010.12 -0.08 .935 -0.20 0.12 -1.61 .107 -0.50 0.12 -4.17 .000

Hhsize -0.01 0.04 -0.20 .841 -0.090.05 -1.83 .067 0.08 0.05 1.69 .092 -0.06 0.04 -1.46 .145

Kids 0.36 0.11 3.39 .001 -0.080.12 -0.67 .502 -0.03 0.12 -0.24 .807 0.15 0.11 1.27 .203

University 0.11 0.09 1.16 .246 0.310.14 2.29 .022 0.24 0.11 2.24 .025 0.29 0.11 2.54 .011

Low class -0.14 0.09 -1.61 .107 -0.350.14 -2.58 .010 -0.30 0.09 -3.22 .001 -0.30 0.09 -3.19 .001

Middle class*

High class -0.24 0.20 -1.20 .231 0.420.68 0.62 .536 0.13 0.30 0.42 .676 0.44 0.28 1.58 .115

Wealth - low -0.42 0.18 -2.31 .021 -0.190.11 -1.82 .068 0.05 0.19 0.24 .810 -0.22 0.20 -1.08 .282

Wealth - middle*Wealth - high 0.00 0.09 0.02 .988 -0.26 0.1 -2.24 .025 0.32 0.10 3.25 .001 0.01 0.10 0.10 .920

22

2Adj. R2 .033 .037 .073 .067F-test F(13,816) = 3.208, p < .001 F(13,849) = 3.53, p < .001 F(13,854) = 6.261, p < .001 F(13,832) = 5.632, p < .001

Note: Unstandardized regression coefficient, b, is reported. The following background variables were included in the regression model: female (1 if respondent was female, 0 if he was male), age (4 dummy-coded variables for age categories: 15-29, 30-44, 45-64, 65 and more), type of living area (3 dummy-coded variables: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the household), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, 0 otherwise), social class (3 dummy-coded variables capturing self-reported social class: low, middle, high), wealth (3 dummy-coded variables capturing self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never" respectively). Asterisk (*) denotes reference category for dummy-coded variables.

Appendix 6 (continued).

  Slovenia Spain Sweden United Kingdom  b SE t p b SE t p b SE t p b SE t pIntercept -0.58 0.16 -3.61 .000 -0.61 0.20 -3.13 .002 -0.39 0.23 -1.67 .096 0.13 0.19 0.69 .491Female 0.09 0.07 1.15 .252 0.16 0.09 1.80 .072 0.23 0.07 3.47 .001 0.12 0.08 1.58 .115Age 15-29 -0.78 0.16 -4.93 .000 -0.20 0.15 -1.34 .182 -0.19 0.27 -0.68 .495 -0.67 0.14 -4.88 .000Age 30-44*Age 45-64 -0.16 0.11 -1.43 .154 -0.15 0.11 -1.29 .199 -0.16 0.11 -1.37 .170 -0.32 0.12 -2.63 .009Age 65+ -0.37 0.12 -3.00 .003 -0.50 0.14 -3.47 .001 -0.10 0.12 -0.84 .402 -0.66 0.13 -5.11 .000Rural 0.07 0.08 0.83 .408 -0.21 0.10 -2.15 .032 0.07 0.09 0.75 .451 0.02 0.09 0.18 .858Small & mid-sized towns*Large towns 0.33 0.10 3.31 .001 -0.25 0.13 -1.94 .053 0.04 0.08 0.47 .641 -0.24 0.09 -2.71 .007Hhsize 0.10 0.04 2.63 .009 0.08 0.05 1.77 .077 0.03 0.05 0.62 .533 0.07 0.04 1.61 .108Kids 0.06 0.11 0.56 .574 -0.11 0.11 -0.99 .322 0.23 0.11 2.10 .036 0.03 0.11 0.29 .774University 0.22 0.08 2.75 .006 0.33 0.11 3.06 .002 0.37 0.08 4.80 .000 0.34 0.09 3.60 .000Low class 0.08 0.08 1.02 .307 -0.22 0.10 -2.10 .036 0.04 0.09 0.46 .643 -0.11 0.08 -1.34 .181Middle class*High class -0.02 0.31 -0.06 .953 3.05 1.30 2.35 .019 0.21 0.21 0.99 .321 -0.10 0.57 -0.17 .869Wealth - low -0.33 0.13 -2.55 .011 -0.45 0.14 -3.18 .002 0.07 0.39 0.18 .855 -0.36 0.15 -2.33 .020Wealth - middle*

23

Wealth - high 0.34 0.09 3.85 .000 0.31 0.11 2.84 .005 0.18 0.18 1.01 .313 -0.13 0.11 -1.23 .220Adj. R2 .081 .084 .053 .075F-test F(13,925) = 7.398, p < .001 F(13,872) = 7.277, p < .001 F(13,911) = 5.006, p < .001 F(13,1135) = 8.112, p < .001

Note: Unstandardized regression coefficient, b, is reported. The following background variables were included in the regression model: female (1 if respondent was female, 0 if he was male), age (4 dummy-coded variables for age categories: 15-29, 30-44, 45-64, 65 and more), type of living area (3 dummy-coded variables: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the household), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, 0 otherwise), social class (3 dummy-coded variables capturing self-reported social class: low, middle, high), wealth (3 dummy-coded variables capturing self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never" respectively). Asterisk (*) denotes reference category for dummy-coded variables.

24

Appendix 7: Results of ANCOVA test of effects of background variables and criterion variable (installation of renewables) on the Campbellian measure of GCC concern.

  Austria Belgium Bulgaria Croatia

  Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2

Gender 1 20.78 20.78 14.50 .000 .016 1 0.16 0.16 0.12 .726 .000 1 0.01 0.01 0.01 .936 .000 1 4.97 4.97 4.00 .046 .002Age 3 22.28 7.43 5.18 .001 .019 3 16.60 5.54 4.19 .006 .009 3 51.76 17.25 11.84 .000 .024 3 16.23 5.41 4.36 .005 .016Area 2 15.11 7.56 5.27 .005 .014 2 15.36 7.68 5.82 .003 .011 2 36.35 18.18 12.48 .000 .017 2 1.91 0.96 0.77 .464 .001Hhsize 1 14.32 14.32 10.00 .002 .008 1 3.45 3.45 2.62 .106 .001 1 0.77 0.77 0.53 .468 .001 1 0.53 0.53 0.43 .515 .000Kids 1 1.41 1.41 0.98 .322 .001 1 2.07 2.07 1.57 .211 .002 1 6.20 6.20 4.26 .039 .003 1 3.70 3.70 2.98 .085 .004University 1 12.58 12.58 8.78 .003 .007 1 49.11 49.11 37.21 .000 .018 1 33.76 33.76 23.17 .000 .017 1 9.65 9.65 7.77 .005 .008Class 2 2.98 1.49 1.04 .354 .002 2 21.88 10.94 8.29 .000 .011 2 2.73 1.36 0.94 .393 .002 2 10.11 5.06 4.07 .017 .008Wealth 2 0.33 0.16 0.11 .892 .000 2 21.19 10.60 8.03 .000 .016 2 2.90 1.45 1.00 .370 .002 2 4.41 2.21 1.78 .170 .004Renewables 1 3.68 3.68 2.57 .110 .003 1 6.86 6.86 5.20 .023 .006 1 7.57 7.57 5.20 .023 .007 1 4.97 4.97 4.00 .046 .005Residuals 809 1159 1.43 948 1251 1.32 788 1148 1.46 812 1009 1.24Sample size 1010 1073 987 996 Note: The following background variables were included in the regression model: gender (0 if respondent was male, 1 if she was female), age (4 age categories: 15-29, 30-44, 45-64, 65 and more), area (3 categories of living area: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the hoousehold), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, and 0 otherwise), class (3 categories of self-reported social class: low, middle, high), wealth (3 categories of self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never"), renewables (criterion test variable, 1 if respondent has installed renewables, 0 otherwise).

25

Appendix 7 (continued).

  Cyprus (Republic) Czech Republic Denmark Estonia

  Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2

Gender 1 0.00 0.00 0.00 .985 .000 1 3.96 3.96 3.62 .058 .006 1 21.07 21.07 19.41 .000 .020 1 17.33 17.33 15.35 .000 .018Age 3 44.31 14.77 6.91 .000 .050 3 16.83 5.61 5.12 .002 .017 3 7.22 2.41 2.22 .085 .001 3 14.83 4.95 4.38 .005 .004Area 2 16.44 8.22 3.84 .022 .007 2 17.79 8.89 8.12 .000 .016 2 3.12 1.56 1.44 .238 .002 2 4.41 2.21 1.95 .142 .002Hhsize 1 0.29 0.29 0.14 .714 .000 1 4.68 4.68 4.28 .039 .003 1 21.62 21.62 19.91 .000 .013 1 4.57 4.57 4.05 .044 .004Kids 1 1.16 1.16 0.54 .462 .001 1 1.91 1.91 1.74 .187 .002 1 1.72 1.72 1.59 .208 .001 1 0.81 0.81 0.72 .397 .001University 1 23.26 23.26 10.88 .001 .003 1 1.09 1.09 1.00 .318 .000 1 12.62 12.62 11.62 .001 .008 1 5.75 5.75 5.09 .024 .002Class 2 42.97 21.49 10.05 .000 .020 2 3.12 1.56 1.42 .241 .002 2 17.59 8.80 8.10 .000 .016 2 7.28 3.64 3.22 .040 .005Wealth 2 34.82 17.41 8.14 .000 .034 2 4.04 2.02 1.85 .159 .004 2 2.64 1.32 1.21 .297 .003 2 2.76 1.38 1.22 .295 .003Renewables 1 3.80 3.80 1.78 .183 .004 1 0.94 0.94 0.86 .354 .001 1 2.08 2.08 1.92 .166 .002 1 0.66 0.66 0.59 .444 .001Residuals 432 924 2.14       892 977 1.10       869 944 1.09       836 944 1.13      Sample size 499 1009 1009 992Note: The following background variables were included in the regression model: gender (0 if respondent was male, 1 if she was female), age (4 age categories: 15-29, 30-44, 45-64, 65 and more), area (3 categories of living area: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the hoousehold), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, and 0 otherwise), class (3 categories of self-reported social class: low, middle, high), wealth (3 categories of self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never"), renewables (criterion test variable, 1 if respondent has installed renewables, 0 otherwise).

26

Appendix 7 (continued).

  Finland France Germany Greece

  Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2

Gender 1 24.29 24.29 18.78 .000 .024 1 2.51 2.51 1.81 .179 .001 1 1.05 1.05 0.97 .326 .001 1 2.55 2.55 1.40 .238 .001Age 3 33.60 11.20 8.66 .000 .002 3 33.95 11.32 8.19 .000 .024 3 12.64 4.21 3.87 .009 .005 3 43.43 14.48 7.94 .000 .022Area 2 1.13 0.57 0.44 .646 .003 2 5.85 2.92 2.12 .121 .008 2 6.46 3.23 2.96 .052 .002 2 7.67 3.83 2.10 .123 .002Hhsize 1 15.26 15.26 11.80 .001 .009 1 5.99 5.99 4.33 .038 .004 1 2.55 2.55 2.34 .127 .000 1 0.00 0.00 0.00 .978 .000Kids 1 5.86 5.86 4.53 .034 .004 1 0.08 0.08 0.06 .808 .000 1 0.07 0.07 0.06 .804 .000 1 10.49 10.49 5.75 .017 .007University 1 24.34 24.34 18.81 .000 .016 1 52.71 52.71 38.13 .000 .026 1 71.18 71.18 65.29 .000 .023 1 6.85 6.85 3.76 .053 .001Class 2 5.05 2.52 1.95 .143 .006 2 5.88 2.94 2.13 .120 .003 2 19.58 9.79 8.98 .000 .006 2 9.91 4.95 2.72 .067 .002Wealth 2 4.72 2.36 1.82 .162 .005 2 7.70 3.85 2.79 .062 .006 2 12.95 6.48 5.94 .003 .008 2 16.04 8.02 4.40 .013 .010Renewables 1 2.74 2.74 2.12 .146 .003 1 3.09 3.09 2.24 .135 .002 1 14.99 14.99 13.75 .000 .010 1 1.22 1.22 0.67 .414 .001Residuals 756 978 1.29       918 1269 1.38       1378 1502 1.09       879 1603 1.82      Sample size 966 1018 1583 1000Note: The following background variables were included in the regression model: gender (0 if respondent was male, 1 if she was female), age (4 age categories: 15-29, 30-44, 45-64, 65 and more), area (3 categories of living area: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the hoousehold), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, and 0 otherwise), class (3 categories of self-reported social class: low, middle, high), wealth (3 categories of self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never"), renewables (criterion test variable, 1 if respondent has installed renewables, 0 otherwise).

27

Appendix 7 (continued).

  Hungary Ireland Italy Latvia

  Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2

Gender 1 0.43 0.43 0.34 .562 .001 1 0.29 0.29 0.18 .670 .000 1 0.00 0.00 0.00 .958 .000 1 2.94 2.94 2.64 .105 .001Age 3 26.37 8.79 6.84 .000 .016 3 17.12 5.71 3.52 .015 .019 3 5.32 1.77 1.29 .278 .004 3 5.33 1.78 1.60 .189 .006Area 2 47.22 23.61 18.36 .000 .035 2 6.65 3.32 2.05 .130 .004 2 26.00 13.00 9.44 .000 .018 2 18.56 9.28 8.34 .000 .015Hhsize 1 10.09 10.09 7.85 .005 .009 1 6.18 6.18 3.81 .051 .004 1 0.55 0.55 0.40 .529 .000 1 3.56 3.56 3.20 .074 .004Kids 1 0.04 0.04 0.03 .863 .000 1 2.90 2.90 1.79 .182 .004 1 0.46 0.46 0.33 .564 .000 1 1.40 1.40 1.25 .263 .001University 1 24.40 24.40 18.98 .000 .015 1 40.55 40.55 25.00 .000 .018 1 2.88 2.88 2.09 .149 .001 1 15.44 15.44 13.88 .000 .008Class 2 2.60 1.30 1.01 .364 .002 2 2.09 1.05 0.64 .525 .001 2 9.97 4.98 3.62 .027 .008 2 19.32 9.66 8.68 .000 .018Wealth 2 2.69 1.35 1.05 .352 .002 2 13.32 6.66 4.11 .017 .007 2 16.41 8.20 5.96 .003 .014 2 2.40 1.20 1.08 .341 .002Renewables 1 0.07 0.07 0.06 .812 .000 1 19.34 19.34 11.92 .001 .014 1 3.31 3.31 2.41 .121 .003 1 1.35 1.35 1.22 .270 .001Residuals 863 1110 1.29       845 1371 1.62       846 1165 1.38       850 946 1.11      Sample size 1008 993 1007 993Note: The following background variables were included in the regression model: gender (0 if respondent was male, 1 if she was female), age (4 age categories: 15-29, 30-44, 45-64, 65 and more), area (3 categories of living area: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the hoousehold), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, and 0 otherwise), class (3 categories of self-reported social class: low, middle, high), wealth (3 categories of self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never"), renewables (criterion test variable, 1 if respondent has installed renewables, 0 otherwise).

28

Appendix 7 (continued).

  Lithuania Luxembourg Malta Netherlands

  Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2

Gender 1 2.09 2.09 1.29 .257 .002 1 5.72 5.72 4.00 .046 .014 1 1.56 1.56 0.85 .358 .002 1 36.03 36.03 27.14 .000 .035Age 3 35.10 11.70 7.20 .000 .020 3 14.73 4.91 3.43 .017 .017 3 21.39 7.13 3.86 .010 .014 3 40.02 13.34 10.05 .000 .028Area 2 4.28 2.14 1.32 .268 .004 2 2.33 1.17 0.82 .443 .004 2 5.24 2.62 1.42 .244 .006 2 8.78 4.39 3.31 .037 .006Hhsize 1 0.40 0.40 0.25 .620 .000 1 0.25 0.25 0.18 .674 .001 1 0.12 0.12 0.06 .800 .001 1 0.69 0.69 0.52 .472 .000Kids 1 1.11 1.11 0.68 .409 .001 1 0.61 0.61 0.43 .513 .000 1 0.07 0.07 0.04 .848 .000 1 0.11 0.11 0.08 .778 .000University 1 0.41 0.41 0.25 .614 .000 1 17.27 17.27 12.07 .001 .015 1 18.18 18.18 9.83 .002 .009 1 20.20 20.20 15.21 .000 .007Class 2 0.70 0.35 0.21 .807 .001 2 7.63 3.82 2.67 .071 .014 2 15.09 7.54 4.08 .018 .013 2 20.83 10.42 7.85 .000 .014Wealth 2 0.91 0.45 0.28 .756 .001 2 1.85 0.92 0.65 .525 .003 2 2.36 1.18 0.64 .528 .002 2 7.68 3.84 2.89 .056 .006Renewables 1 4.03 4.03 2.48 .116 .003 1 2.99 2.99 2.09 .149 .005 1 7.89 7.89 4.27 .039 .009 1 6.90 6.90 5.20 .023 .006Residuals 806 1309 1.62       440 630 1.43       449 830 1.85       896 1189 1.33      Sample size 995 506 499 1030Note: The following background variables were included in the regression model: gender (0 if respondent was male, 1 if she was female), age (4 age categories: 15-29, 30-44, 45-64, 65 and more), area (3 categories of living area: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the hoousehold), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, and 0 otherwise), class (3 categories of self-reported social class: low, middle, high), wealth (3 categories of self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never"), renewables (criterion test variable, 1 if respondent has installed renewables, 0 otherwise).

29

Appendix 7 (continued).

  Poland Portugal Romania Slovakia

  Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2

Gender 1 3.43 3.43 2.78 .096 .001 1 2.09 2.09 1.21 .272 .001 1 0.70 0.70 0.42 .519 .000 1 11.98 11.98 8.27 .004 .006Age 3 12.80 4.27 3.46 .016 .006 3 26.08 8.69 5.03 .002 .015 3 14.45 4.82 2.87 .036 .008 3 16.89 5.63 3.88 .009 .014Area 2 6.29 3.15 2.55 .078 .004 2 5.96 2.98 1.72 .179 .001 2 49.17 24.59 14.63 .000 .020 2 22.56 11.28 7.78 .000 .020Hhsize 1 0.12 0.12 0.10 .751 .000 1 6.14 6.14 3.55 .060 .004 1 6.21 6.21 3.69 .055 .004 1 1.11 1.11 0.77 .381 .003Kids 1 12.93 12.93 10.50 .001 .014 1 1.44 1.44 0.83 .363 .001 1 0.18 0.18 0.11 .742 .000 1 2.16 2.16 1.49 .223 .002University 1 3.72 3.72 3.02 .083 .002 1 14.97 14.97 8.65 .003 .006 1 21.02 21.02 12.51 .000 .006 1 27.32 27.32 18.84 .000 .008Class 2 4.67 2.33 1.89 .151 .004 2 11.82 5.91 3.41 .033 .008 2 26.32 13.16 7.83 .000 .012 2 22.26 11.13 7.68 .000 .015Wealth 2 7.45 3.73 3.02 .049 .008 2 11.05 5.53 3.19 .042 .007 2 18.84 9.42 5.60 .004 .014 2 1.99 0.99 0.69 .504 .002Renewables 1 1.70 1.70 1.38 .241 .002 1 4.24 4.24 2.45 .118 .003 1 2.60 2.60 1.55 .214 .002 1 2.53 2.53 1.74 .187 .002Residuals 815 1004 1.23       848 1467 1.73       853 1434 1.68       831 1205 1.45      Sample size 979 1035 990 993Note: The following background variables were included in the regression model: gender (0 if respondent was male, 1 if she was female), age (4 age categories: 15-29, 30-44, 45-64, 65 and more), area (3 categories of living area: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the hoousehold), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, and 0 otherwise), class (3 categories of self-reported social class: low, middle, high), wealth (3 categories of self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never"), renewables (criterion test variable, 1 if respondent has installed renewables, 0 otherwise).

30

Appendix 7 (continued).

  Slovenia Spain Sweden United Kingdom

  Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2

Gender 1 0.45 0.45 0.38 .538 .002 1 4.57 4.57 2.80 .094 .003 1 13.07 13.07 13.58 .000 .014 1 3.92 3.92 2.47 .116 .002Age 3 34.19 11.40 9.59 .000 .031 3 22.86 7.62 4.68 .003 .013 3 16.54 5.51 5.73 .001 .003 3 106.81 35.60 22.50 .000 .032Area 2 15.30 7.65 6.44 .002 .015 2 5.55 2.78 1.70 .183 .008 2 1.43 0.71 0.74 .477 .001 2 13.71 6.86 4.33 .013 .008Hhsize 1 9.93 9.93 8.36 .004 .007 1 2.73 2.73 1.67 .196 .003 1 0.85 0.85 0.89 .347 .000 1 5.55 5.55 3.51 .061 .002Kids 1 0.40 0.40 0.34 .561 .000 1 4.92 4.92 3.02 .082 .001 1 5.36 5.36 5.57 .018 .005 1 0.09 0.09 0.06 .812 .000University 1 13.16 13.16 11.08 .001 .008 1 35.38 35.38 21.72 .000 .010 1 24.40 24.40 25.35 .000 .024 1 26.25 26.25 16.59 .000 .011Class 2 0.77 0.39 0.33 .723 .001 2 21.86 10.93 6.71 .001 .013 2 1.08 0.54 0.56 .570 .001 2 2.89 1.44 0.91 .402 .002Wealth 2 43.39 21.69 18.26 .000 .032 2 58.89 29.45 18.08 .000 .040 2 1.07 0.53 0.55 .575 .001 2 8.63 4.32 2.73 .066 .005Renewables 1 33.37 33.37 28.10 .000 .030 1 26.33 26.33 16.17 .000 .018 1 17.19 17.19 17.86 .000 .019 1 11.64 11.64 7.36 .007 .006Residuals 924 1098 1.19       871 1419 1.63       910 876 0.96       1134 1795 1.58      Sample size 1109 1000 1008 1321Note: The following background variables were included in the regression model: gender (0 if respondent was male, 1 if she was female), age (4 age categories: 15-29, 30-44, 45-64, 65 and more), area (3 categories of living area: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the hoousehold), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, and 0 otherwise), class (3 categories of self-reported social class: low, middle, high), wealth (3 categories of self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never"), renewables (criterion test variable, 1 if respondent has installed renewables, 0 otherwise).

31

Appendix 8: Results of ANCOVA test of effects of background variables and criterion variable (installation of renewables) on the evaluative measure of GCC concern.

  Austria Belgium Bulgaria Croatia

  Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2

Gender 1 20.15 20.15 5.50 .019 .005 1 7.17 7.17 2.14 .144 .001 1 3.64 3.64 1.05 .306 .002 1 23.59 23.59 5.16 .023 .004Age 3 17.25 5.75 1.57 .195 .010 3 14.16 4.72 1.41 .240 .002 3 37.14 12.38 3.56 .014 .011 3 46.18 15.39 3.36 .018 .012Area 2 27.59 13.79 3.77 .024 .010 2 9.37 4.68 1.40 .248 .004 2 41.07 20.54 5.91 .003 .019 2 13.28 6.64 1.45 .235 .004Hhsize 1 2.17 2.17 0.59 .442 .000 1 0.24 0.24 0.07 .789 .000 1 1.94 1.94 0.56 .455 .000 1 0.79 0.79 0.17 .679 .000Kids 1 35.15 35.15 9.59 .002 .011 1 0.38 0.38 0.11 .737 .000 1 0.46 0.46 0.13 .715 .001 1 4.82 4.82 1.05 .305 .001University 1 11.32 11.32 3.09 .079 .003 1 24.37 24.37 7.26 .007 .009 1 30.99 30.99 8.92 .003 .014 1 6.17 6.17 1.35 .246 .003Class 2 5.94 2.97 0.81 .445 .002 2 5.70 2.85 0.85 .428 .002 2 6.63 3.32 0.96 .385 .000 2 19.61 9.80 2.14 .118 .004Wealth 2 2.11 1.06 0.29 .750 .001 2 1.45 0.72 0.22 .806 .001 2 44.25 22.12 6.37 .002 .016 2 2.38 1.19 0.26 .771 .001Renewables 1 1.25 1.25 0.34 .559 .000 1 3.83 3.83 1.14 .286 .001 1 0.10 0.10 0.03 .865 .000 1 1.86 1.86 0.41 .524 .001Residuals 805 2950 3.66       944 3168 3.36       773 2685 3.47       810 3706 4.58      Sample size 1010 1073 987 996Note: The following background variables were included in the regression model: gender (0 if respondent was male, 1 if she was female), age (4 age categories: 15-29, 30-44, 45-64, 65 and more), area (3 categories of living area: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the hoousehold), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, and 0 otherwise), class (3 categories of self-reported social class: low, middle, high), wealth (3 categories of self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never"), renewables (criterion test variable, 1 if respondent has installed renewables, 0 otherwise).

32

Appendix 8 (continued).

  Cyprus (Republic) Czech Republic Denmark Estonia

  Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2

Gender 1 27.02 27.02 5.86 .016 .016 1 6.91 6.91 1.58 .209 .002 1 16.81 16.81 3.83 .051 .002 1 73.59 73.59 13.82 .000 .016Age 3 5.78 1.93 0.42 .740 .004 3 25.68 8.56 1.96 .119 .010 3 29.58 9.86 2.25 .082 .003 3 13.80 4.60 0.86 .459 .007Area 2 4.18 2.09 0.45 .636 .003 2 22.39 11.20 2.56 .078 .004 2 54.45 27.23 6.20 .002 .014 2 16.02 8.01 1.50 .223 .003Hhsize 1 3.38 3.38 0.73 .393 .002 1 2.87 2.87 0.66 .418 .001 1 1.88 1.88 0.43 .513 .000 1 8.26 8.26 1.55 .213 .001Kids 1 0.04 0.04 0.01 .925 .000 1 18.58 18.58 4.25 .040 .006 1 11.74 11.74 2.68 .102 .003 1 13.84 13.84 2.60 .107 .003University 1 15.09 15.09 3.27 .071 .004 1 6.36 6.36 1.46 .228 .001 1 15.49 15.49 3.53 .061 .005 1 5.56 5.56 1.05 .307 .002Class 2 13.87 6.94 1.50 .223 .006 2 28.58 14.29 3.27 .039 .009 2 4.71 2.36 0.54 .585 .002 2 6.76 3.38 0.63 .531 .002Wealth 2 1.61 0.80 0.17 .840 .001 2 14.89 7.44 1.70 .183 .004 2 15.65 7.82 1.78 .169 .004 2 1.69 0.85 0.16 .853 .000Renewables 1 0.68 0.68 0.15 .700 .000 1 2.49 2.49 0.57 .451 .001 1 0.40 0.40 0.09 .763 .000 1 0.41 0.41 0.08 .781 .000Residuals 429 1978 4.61       891 3897 4.37       866 3802 4.39       819 4361 5.32      Sample size 499 1009 1009 992Note: The following background variables were included in the regression model: gender (0 if respondent was male, 1 if she was female), age (4 age categories: 15-29, 30-44, 45-64, 65 and more), area (3 categories of living area: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the hoousehold), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, and 0 otherwise), class (3 categories of self-reported social class: low, middle, high), wealth (3 categories of self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never"), renewables (criterion test variable, 1 if respondent has installed renewables, 0 otherwise).

33

Appendix 8 (continued).

  Finland France Germany Greece

  Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2

Gender 1 92.63 92.63 21.89 .000 .021 1 0.19 0.19 0.05 .830 .000 1 96.71 96.71 21.50 .000 .016 1 11.68 11.68 3.94 .047 .003Age 3 33.31 11.10 2.62 .050 .000 3 38.47 12.82 3.22 .022 .011 3 52.41 17.47 3.88 .009 .006 3 5.07 1.69 0.57 .634 .001Area 2 21.94 10.97 2.59 .075 .005 2 39.25 19.63 4.92 .007 .009 2 30.46 15.23 3.39 .034 .004 2 13.96 6.98 2.36 .095 .004Hhsize 1 0.68 0.68 0.16 .689 .000 1 2.93 2.93 0.73 .392 .001 1 2.45 2.45 0.55 .460 .001 1 3.38 3.38 1.14 .286 .001Kids 1 9.94 9.94 2.35 .126 .002 1 0.04 0.04 0.01 .916 .000 1 7.87 7.87 1.75 .186 .001 1 0.30 0.30 0.10 .751 .000University 1 26.86 26.86 6.35 .012 .005 1 5.80 5.80 1.46 .228 .003 1 0.32 0.32 0.07 .791 .000 1 0.11 0.11 0.04 .846 .000Class 2 15.37 7.68 1.82 .163 .008 2 5.76 2.88 0.72 .486 .001 2 40.27 20.14 4.48 .012 .007 2 15.26 7.63 2.58 .077 .007Wealth 2 31.58 15.79 3.73 .024 .010 2 11.40 5.70 1.43 .240 .003 2 15.22 7.61 1.69 .185 .003 2 5.21 2.61 0.88 .415 .002Renewables 1 0.31 0.31 0.07 .788 .000 1 0.01 0.01 0.00 .967 .000 1 0.78 0.78 0.17 .678 .000 1 0.06 0.06 0.02 .891 .000Residuals 754 3190 4.23       911 3633 3.99       1374 6181 4.50       879 2603 2.96      Sample size 966 1018 1583 1000Note: The following background variables were included in the regression model: gender (0 if respondent was male, 1 if she was female), age (4 age categories: 15-29, 30-44, 45-64, 65 and more), area (3 categories of living area: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the hoousehold), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, and 0 otherwise), class (3 categories of self-reported social class: low, middle, high), wealth (3 categories of self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never"), renewables (criterion test variable, 1 if respondent has installed renewables, 0 otherwise).

34

Appendix 8 (continued).

  Hungary Ireland Italy Latvia

  Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2

Gender 1 3.89 3.89 1.15 .285 .001 1 0.81 0.81 0.20 .651 .000 1 7.33 7.33 2.52 .113 .003 1 26.54 26.54 4.79 .029 .005Age 3 7.27 2.43 0.72 .543 .003 3 13.70 4.57 1.16 .326 .006 3 1.84 0.61 0.21 .889 .002 3 7.38 2.46 0.44 .722 .002Area 2 52.05 26.03 7.67 .000 .021 2 21.38 10.69 2.70 .068 .005 2 18.14 9.07 3.12 .045 .005 2 7.15 3.58 0.65 .524 .001Hhsize 1 1.91 1.91 0.56 .453 .001 1 0.20 0.20 0.05 .821 .000 1 3.06 3.06 1.05 .306 .001 1 0.02 0.02 0.00 .950 .000Kids 1 2.24 2.24 0.66 .417 .001 1 9.55 9.55 2.42 .121 .004 1 0.19 0.19 0.07 .799 .000 1 3.78 3.78 0.68 .409 .001University 1 0.10 0.10 0.03 .867 .001 1 15.72 15.72 3.98 .046 .006 1 3.53 3.53 1.22 .271 .001 1 4.94 4.94 0.89 .345 .000Class 2 16.79 8.40 2.48 .085 .002 2 1.51 0.75 0.19 .827 .000 2 30.29 15.15 5.21 .006 .016 2 22.35 11.18 2.02 .134 .005Wealth 2 34.06 17.03 5.02 .007 .012 2 18.99 9.49 2.40 .091 .006 2 24.29 12.14 4.18 .016 .010 2 4.94 2.47 0.45 .640 .001Renewables 1 8.21 8.21 2.42 .120 .003 1 3.10 3.10 0.79 .376 .001 1 0.33 0.33 0.11 .738 .000 1 8.31 8.31 1.50 .221 .002Residuals 853 2893 3.39       830 3281 3.95       844 2455 2.91       836 4629 5.54      Sample size 1008 993 1007 993Note: The following background variables were included in the regression model: gender (0 if respondent was male, 1 if she was female), age (4 age categories: 15-29, 30-44, 45-64, 65 and more), area (3 categories of living area: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the hoousehold), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, and 0 otherwise), class (3 categories of self-reported social class: low, middle, high), wealth (3 categories of self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never"), renewables (criterion test variable, 1 if respondent has installed renewables, 0 otherwise).

35

Appendix 8 (continued).

  Lithuania Luxembourg Malta Netherlands

  Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2

Gender 1 48.23 48.23 9.94 .002 .008 1 17.56 17.56 4.15 .042 .010 1 0.28 0.28 0.07 .789 .000 1 2.36 2.36 0.67 .414 .002Age 3 24.39 8.13 1.68 .171 .009 3 2.54 0.85 0.20 .897 .001 3 24.71 8.24 2.13 .095 .012 3 27.48 9.16 2.59 .052 .008Area 2 9.02 4.51 0.93 .395 .002 2 33.28 16.64 3.93 .020 .016 2 18.44 9.22 2.39 .093 .010 2 43.99 22.00 6.23 .002 .010Hhsize 1 1.34 1.34 0.28 .599 .000 1 18.30 18.30 4.32 .038 .008 1 1.39 1.39 0.36 .548 .000 1 12.74 12.74 3.61 .058 .004Kids 1 36.19 36.19 7.46 .006 .009 1 1.90 1.90 0.45 .504 .001 1 0.12 0.12 0.03 .862 .000 1 0.19 0.19 0.05 .816 .000University 1 0.00 0.00 0.00 .993 .000 1 11.83 11.83 2.79 .095 .010 1 12.87 12.87 3.33 .069 .006 1 48.08 48.08 13.61 .000 .008Class 2 5.80 2.90 0.60 .550 .002 2 11.39 5.69 1.34 .262 .005 2 12.46 6.23 1.61 .200 .007 2 13.98 6.99 1.98 .139 .004Wealth 2 1.10 0.55 0.11 .893 .000 2 5.63 2.81 0.66 .515 .003 2 10.13 5.07 1.31 .270 .006 2 0.32 0.16 0.05 .956 .000Renewables 1 0.19 0.19 0.04 .842 .000 1 0.75 0.75 0.18 .673 .000 1 2.42 2.42 0.63 .429 .001 1 15.61 15.61 4.42 .036 .005Residuals 799 3876 4.85       437 1850 4.23       442 1706 3.86       892 3152 3.53      Sample size 995 506 499 1030Note: The following background variables were included in the regression model: gender (0 if respondent was male, 1 if she was female), age (4 age categories: 15-29, 30-44, 45-64, 65 and more), area (3 categories of living area: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the hoousehold), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, and 0 otherwise), class (3 categories of self-reported social class: low, middle, high), wealth (3 categories of self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never"), renewables (criterion test variable, 1 if respondent has installed renewables, 0 otherwise).

36

Appendix 8 (continued).

  Poland Portugal Romania Slovakia

  Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2

Gender 1 0.22 0.22 0.04 .833 .000 1 2.02 2.02 0.60 .438 .001 1 12.78 12.78 2.76 .097 .003 1 11.61 11.61 3.35 .068 .003Age 3 35.31 11.77 2.35 .071 .009 3 0.20 0.07 0.02 .996 .000 3 13.60 4.53 0.98 .402 .003 3 15.91 5.30 1.53 .206 .006Area 2 30.09 15.05 3.00 .050 .010 2 8.42 4.21 1.26 .285 .002 2 44.14 22.07 4.77 .009 .010 2 40.30 20.15 5.81 .003 .014Hhsize 1 3.34 3.34 0.67 .415 .002 1 9.18 9.18 2.74 .098 .003 1 1.17 1.17 0.25 .615 .000 1 3.49 3.49 1.01 .316 .001Kids 1 18.30 18.30 3.65 .056 .004 1 2.65 2.65 0.79 .374 .000 1 0.10 0.10 0.02 .884 .000 1 8.69 8.69 2.50 .114 .003University 1 15.85 15.85 3.16 .076 .001 1 0.73 0.73 0.22 .642 .001 1 0.66 0.66 0.14 .705 .001 1 1.48 1.48 0.43 .513 .001Class 2 40.37 20.19 4.03 .018 .010 2 7.25 3.63 1.08 .339 .005 2 1.87 0.93 0.20 .817 .000 2 0.77 0.39 0.11 .895 .000Wealth 2 10.29 5.15 1.03 .359 .003 2 88.13 44.06 13.15 .000 .030 2 15.87 7.93 1.72 .181 .004 2 5.18 2.59 0.75 .474 .002Renewables 1 2.01 2.01 0.40 .527 .001 1 0.30 0.30 0.09 .764 .000 1 3.54 3.54 0.77 .382 .001 1 5.33 5.33 1.54 .216 .002Residuals 803 4026 5.01       844 2829 3.35       825 3815 4.63       828 2874 3.47      Sample size 979 1035 990 993Note: The following background variables were included in the regression model: gender (0 if respondent was male, 1 if she was female), age (4 age categories: 15-29, 30-44, 45-64, 65 and more), area (3 categories of living area: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the hoousehold), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, and 0 otherwise), class (3 categories of self-reported social class: low, middle, high), wealth (3 categories of self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never"), renewables (criterion test variable, 1 if respondent has installed renewables, 0 otherwise).

37

Appendix 8 (continued).

  Slovenia Spain Sweden United Kingdom

  Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2 Df SS MSS F p η2

Gender 1 20.15 20.15 4.97 .026 .006 1 4.47 4.47 1.40 .237 .002 1 168.88 168.88 45.46 .000 .042 1 5.51 5.51 1.21 .272 .001Age 3 6.52 2.17 0.54 .658 .002 3 24.10 8.03 2.51 .057 .006 3 23.84 7.95 2.14 .094 .002 3 104.92 34.97 7.67 .000 .015Area 2 63.27 31.63 7.80 .000 .013 2 29.04 14.52 4.55 .011 .009 2 39.70 19.85 5.34 .005 .008 2 8.79 4.39 0.96 .382 .002Hhsize 1 18.17 18.17 4.48 .035 .004 1 1.52 1.52 0.48 .491 .001 1 1.33 1.33 0.36 .550 .001 1 0.83 0.83 0.18 .670 .001Kids 1 0.72 0.72 0.18 .674 .000 1 10.32 10.32 3.23 .073 .004 1 5.89 5.89 1.58 .209 .002 1 20.32 20.32 4.46 .035 .006University 1 18.12 18.12 4.47 .035 .009 1 7.34 7.34 2.30 .130 .003 1 25.10 25.10 6.76 .009 .006 1 11.90 11.90 2.61 .106 .004Class 2 63.29 31.65 7.80 .000 .013 2 4.41 2.21 0.69 .502 .002 2 8.58 4.29 1.15 .316 .002 2 27.60 13.80 3.03 .049 .004Wealth 2 18.60 9.30 2.29 .102 .005 2 14.20 7.10 2.22 .109 .005 2 7.55 3.78 1.02 .362 .002 2 45.24 22.62 4.96 .007 .009Renewables 1 2.56 2.56 0.63 .427 .001 1 3.06 3.06 0.96 .328 .001 1 0.28 0.28 0.08 .782 .000 1 10.87 10.87 2.38 .123 .002Residuals 915 3712 4.06       861 2750 3.19       908 3374 3.72       1109 5055 4.56      Sample size 1109 1000 1008 1321Note: The following background variables were included in the regression model: gender (0 if respondent was male, 1 if she was female), age (4 age categories: 15-29, 30-44, 45-64, 65 and more), area (3 categories of living area: rural, small and mid-sized towns, large towns), hhsize (household size, number of persons living in the hoousehold), kids (number of children below the are of 15 living in the household), university (1 if respondent finished his/her formal education at age of 20 or at higher age, and 0 otherwise), class (3 categories of self-reported social class: low, middle, high), wealth (3 categories of self-reported wealth: low, middle, high based on whether respondent reported having problems paying his/her bills "most of the time", "from time to time", or "almost never or never"), renewables (criterion test variable, 1 if respondent has installed renewables, 0 otherwise).

38

Appendix 9: Difficulty and fit estimates for behavioral and evaluative items related to GCC (binary Rasch model, full model that includes also evaluative rating of GCC and installation of renewables).

  Austria Belgium Bulgaria Croatia Cyprus (Rep.) Czech Rep. Denmark EstoniaItem δ MS δ MS δ MS δ MS δ MS δ MS δ MS δ MSCar 2.55 0.90 1.86 1.00 2.46 0.78 1.82 0.88 1.74 0.93 1.82 0.93 1.04 1.02 1.61 0.91Transport 0.66 1.04 0.57 1.02 1.28 0.86 0.12 1.01 1.66 0.92 0.65 0.92 0.23 1.03 0.15 0.93Insulation 2.07 0.92 0.57 0.94 -0.12 0.95 0.61 0.98 1.15 0.82 0.83 0.90 0.76 1.01 -0.37 1.02Home 3.97 0.88 3.06 0.94 3.34 0.78 4.17 0.74 3.09 0.87 4.07 0.81 3.02 0.89 2.54 0.86Appliances 0.18 0.95 0.15 0.88 -0.42 0.94 0.39 0.84 0.25 0.83 -0.37 0.99 -0.39 0.91 -0.25 0.96Supplier 1.99 0.91 1.61 0.90 3.55 0.76 2.80 0.88 3.45 0.86 2.32 0.84 2.15 0.95 2.49 0.85Food -0.44 0.87 0.33 0.86 -0.32 0.99 -0.53 0.88 0.65 0.79 0.19 0.88 0.10 0.86 -0.61 0.93Flying 1.27 0.94 2.56 0.81 3.34 0.79 2.66 0.80 2.95 0.84 1.69 0.82 2.04 0.82 1.97 0.80Waste -1.51 0.98 -1.43 0.87 -0.07 0.93 -0.75 0.92 -1.21 0.91 -1.69 0.92 -1.06 0.89 -1.36 0.96Disposable -0.43 0.89 -0.49 0.91 -0.36 0.98 -0.45 0.89 1.11 0.76 -0.81 0.91 -0.44 0.93 -1.06 0.97Economy -1.92 0.89 -1.94 0.97 -2.97 0.78 -2.84 0.82 -2.41 0.83 -1.98 0.95 -1.97 0.95 -1.55 0.94Exports -1.97 0.94 -1.08 1.16 -2.11 0.92 -1.76 1.08 -1.81 1.06 -1.68 1.00 -0.67 1.13 -0.83 1.08Policyrenew -3.31 0.71 -2.93 0.82 -3.00 0.83 -3.66 0.77 -4.97 0.71 -2.72 0.88 -2.72 0.81 -2.50 0.83Efficiency -3.30 0.68 -2.89 0.86 -4.44 0.72 -3.10 0.85 -5.44 0.56 -3.10 0.78 -3.16 0.79 -2.84 0.82Renewables 2.50 0.97 2.03 0.99 3.25 0.77 2.95 0.91 2.66 0.84 2.91 0.86 2.13 0.97 3.38 0.84CNCRrating -2.30 0.84 -1.99 0.91 -3.41 1.02 -2.42 0.98 -2.87 1.15 -2.13 1.00 -1.07 0.94 -0.77 1.12

Note: Names of evaluative items are in italics.

39

Appendix 9 (continued).

  Finland France Germany Greece Hungary Ireland Italy LatviaItem δ MS δ MS δ MS δ MS δ MS δ MS δ MS δ MSCar 1.73 1.03 1.55 0.89 1.52 0.98 2.63 0.87 2.74 0.84 2.01 0.89 2.36 0.92 1.62 0.90Transport 0.31 1.01 0.83 0.93 0.10 1.03 0.67 0.93 0.70 0.94 1.25 0.89 1.06 1.10 -0.15 0.99Insulation 1.28 0.99 0.45 1.01 1.36 0.94 1.19 0.83 0.83 1.00 0.43 0.99 1.50 0.95 0.36 0.92Home 3.42 0.86 2.52 0.88 3.33 0.89 3.70 0.81 2.86 0.88 3.38 0.91 2.63 0.95 3.19 0.78Appliances 0.73 0.89 0.11 0.89 0.06 0.91 0.51 0.91 -0.06 0.94 0.67 0.86 0.53 0.91 0.01 0.90Supplier 1.90 0.90 3.37 0.84 1.89 0.88 3.65 0.75 3.40 0.80 1.79 0.93 2.31 0.86 3.71 0.82Food 0.22 0.88 -0.57 0.85 -0.02 0.89 -0.05 0.97 0.32 0.88 0.37 0.86 0.23 0.86 -1.21 0.91Flying 1.19 0.83 3.10 0.76 1.29 0.85 3.09 0.76 2.22 0.77 2.99 0.78 2.24 0.85 2.47 0.87Waste -1.40 0.87 -2.22 0.92 -1.82 0.93 -1.38 0.97 -0.85 0.93 -1.53 1.01 -0.90 0.93 -0.49 0.95Disposable -0.57 0.87 -0.78 0.93 -1.13 0.92 0.16 0.90 -0.72 0.90 -0.68 0.93 -0.32 0.89 -0.62 0.91Economy -2.06 0.90 -2.35 0.89 -1.67 0.93 -3.25 0.85 -2.35 0.95 -2.55 0.83 -2.11 0.80 -2.06 0.94Exports -1.32 1.07 -1.19 1.08 -1.10 1.09 -2.57 0.87 -1.66 0.99 -1.96 0.97 -2.02 0.86 -1.34 1.03Policyrenew -3.31 0.77 -2.82 0.80 -2.20 0.82 -4.48 0.67 -3.97 0.70 -3.11 0.76 -3.24 0.65 -3.11 0.89Efficiency -3.16 0.85 -3.01 0.79 -2.37 0.89 -3.89 0.69 -3.90 0.77 -3.88 0.68 -3.39 0.62 -3.77 0.83Renewables 2.45 0.94 2.79 0.86 2.54 0.87 3.49 0.86 3.52 0.84 2.36 0.92 2.55 0.88 2.89 0.85CNCRrating -1.41 1.01 -1.78 1.03 -1.79 0.96 -3.46 0.90 -3.09 0.89 -1.52 1.02 -3.44 0.84 -1.49 1.06

Note: Names of evaluative items are in italics.

40

Appendix 9 (continued).

  Lithuania Luxembourg Malta Netherlands Poland Portugal Romania SlovakiaItem δ MS δ MS δ MS δ MS δ MS δ MS δ MS δ MSCar 2.23 0.87 0.97 1.03 2.00 0.83 1.83 1.02 2.45 0.83 3.21 0.82 1.76 0.88 2.23 0.85Transport 1.25 0.87 0.68 1.00 1.10 0.92 -0.02 0.88 1.02 0.91 0.99 0.98 0.79 0.85 0.57 0.97Insulation 0.62 0.91 0.68 0.94 2.00 0.88 0.95 0.97 1.02 0.89 1.17 0.78 0.07 0.91 0.78 0.97Home 3.81 0.76 2.56 0.91 3.33 0.83 2.65 0.91 2.52 0.92 3.53 0.81 3.08 0.84 4.62 0.76Appliances 0.21 0.87 0.13 0.87 0.11 0.76 -0.05 0.94 -0.02 0.88 0.70 0.83 0.17 0.89 0.15 0.89Supplier 3.69 0.81 2.47 0.84 3.50 0.80 1.79 0.90 3.01 0.86 3.26 0.80 2.97 0.85 3.24 0.76Food -0.25 0.87 -0.02 0.83 -0.06 0.90 0.48 0.90 0.19 0.86 0.60 0.83 -0.06 0.93 -0.16 0.86Flying 2.52 0.76 2.06 0.85 3.03 0.77 2.54 0.80 2.92 0.79 3.04 0.84 3.13 0.78 2.53 0.83Waste -1.19 0.96 -2.24 0.93 -1.69 0.98 -1.53 0.85 -1.58 1.02 -1.74 0.80 -0.18 0.94 -1.83 1.01Disposable -0.79 0.89 -1.06 0.87 -0.63 0.80 -0.81 0.90 -0.55 0.87 -0.66 0.93 0.07 0.87 -0.97 0.93Economy -2.40 0.90 -2.01 0.91 -2.05 0.93 -1.22 1.04 -2.26 0.90 -3.58 0.84 -2.73 0.85 -2.60 0.85Exports -2.00 0.98 -0.63 1.16 -1.11 1.20 -0.49 1.14 -1.90 1.02 -3.10 0.95 -1.89 1.00 -1.76 0.99Policyrenew -3.92 0.75 -2.51 0.81 -4.84 0.71 -3.65 0.76 -3.41 0.76 -3.90 0.73 -3.72 0.70 -3.24 0.76Efficiency -4.44 0.72 -2.22 0.86 -4.96 0.69 -3.58 0.74 -3.65 0.72 -4.08 0.72 -4.06 0.84 -3.91 0.76Renewables 3.17 0.81 2.56 1.02 2.45 0.90 2.50 0.94 2.55 0.86 3.89 0.78 3.13 0.84 3.55 0.79CNCRrating -2.53 1.03 -1.42 1.05 -2.17 0.99 -1.39 1.01 -2.33 0.93 -3.32 0.93 -2.53 1.20 -3.20 0.84

Note: Names of evaluative items are in italics.

41

Appendix 9 (continued).

  Slovenia Spain Sweden United KingdomItem δ MS δ MS δ MS δ MSCar 2.13 0.94 2.70 0.82 1.17 1.07 1.65 0.95Transport 0.41 0.96 0.65 0.89 -0.25 0.98 0.82 0.87Insulation 0.77 0.98 2.04 0.82 1.43 1.00 0.15 0.97Home 3.18 0.88 3.88 0.85 4.19 0.82 3.41 0.85Appliances 0.11 0.86 0.35 0.82 0.74 0.98 0.34 0.87Supplier 2.54 0.88 3.18 0.78 1.77 0.92 2.04 0.92Food -0.04 0.86 0.35 0.86 -0.04 0.87 0.02 0.83Flying 2.24 0.85 3.28 0.84 0.79 0.92 2.11 0.86Waste -1.72 0.86 -2.09 0.87 -1.84 0.89 -1.98 0.84Disposable -0.74 0.92 -0.71 0.86 -0.42 0.94 -0.82 0.83Economy -1.88 0.92 -3.01 0.85 -2.96 0.79 -1.88 1.03Exports -0.87 1.17 -2.34 1.02 -0.52 1.07 -1.35 1.18Policyrenew -3.11 0.74 -4.00 0.74 -2.87 0.81 -2.66 0.89Efficiency -3.64 0.76 -4.27 0.66 -2.45 0.91 -3.90 0.77Renewables 2.74 0.84 3.15 0.86 2.73 0.85 2.90 0.89CNCRrating -2.13 1.00 -3.14 0.92 -1.46 0.90 -0.85 1.12

Note: Names of evaluative items are in italics.