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Question: Which of these approaches do you think would be the best way of getting business and industry in your country to protect the environment?
Choices: "Heavy fines for businesses that damage the environment" "Use the tax system to reward businesses that protect the environment" "More information and education for businesses about the advantages of protecting the environment" "Can't choose"
Data: % of "Heavy fines for businesses that damage the environment"
Period:
Area:
29 countries/ areas
Highlight:
1 Chile51.5%
2 Czech Republic51.3%
3 Slovakia48.7%
4 Mexico47.7%
5 Israel45.6%
6 Turkiye44.8%
7 Canada42.2%
8 Latvia41.7%
9 Lithuania41.3%
10 Netherlands41.1%
11 Germany40.9%
12 Spain39.8%
13 United States37.8%
14 Belgium37.3%
15 United Kingdom36.2%
16 Slovenia34.7%
17 Republic of Korea34.6%
18 France33.8%
19 Denmark31.6%
20 New Zealand31.0%
21 Austria30.7%
22 Portugal30.3%
23 Australia29.1%
24 Switzerland26.2%
25 Iceland26.1%
26 Finland25.2%
27 Sweden24.3%
28 Norway20.2%
29 Japan 16.7%

Note
Can't choose/ No answer are excluded.

No data for 9 countries.

Source
ISSP 2010

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data29
Regression equation
Y = -2.766434 X +7.792
Correlation coefficient (r)-0.377
Coefficient of determination (R2)0.142

GDP per capita (current US$)
No. of data29
Regression equation
Y = -150568.928940 X +99278.535
Correlation coefficient (r)-0.629
Coefficient of determination (R2)0.396

Life expectancy at birth - Both sexes (years)
No. of data29
Regression equation
Y = -19.228532 X +87.615
Correlation coefficient (r)-0.661
Coefficient of determination (R2)0.437

Fertility rate, total (births per woman)
No. of data29
Regression equation
Y = 1.301238 X +1.132
Correlation coefficient (r)0.352
Coefficient of determination (R2)0.124

Suicide - all ages (per 100,000 population)
No. of data29
Regression equation
Y = -14.569328 X +18.492
Correlation coefficient (r)-0.237
Coefficient of determination (R2)0.056