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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:
36 countries/ areas
Highlight:
1 Bulgaria64.8%
2 Croatia62.2%
3 Argentina56.2%
4 Russian Federation51.8%
5 Chile51.5%
6 Czech Republic51.3%
7 Slovakia48.7%
8 Mexico47.7%
9 Israel45.6%
10 Turkiye44.8%
11 Canada42.2%
12 Latvia41.7%
13 Lithuania41.3%
14 Netherlands41.1%
15 Germany40.9%
16 South Africa40.5%
17 Spain39.8%
18 United States37.8%
19 Belgium37.3%
20 United Kingdom36.2%
21 Slovenia34.7%
22 Republic of Korea34.6%
23 Taiwan34.3%
24 France33.8%
25 Denmark31.6%
26 New Zealand31.0%
27 Austria30.7%
28 Philippines30.3%
28 Portugal30.3%
30 Australia29.1%
31 Switzerland26.2%
32 Iceland26.1%
33 Finland 25.2%
34 Sweden24.3%
35 Norway20.2%
36 Japan16.7%

Note
Can't choose/ No answer are excluded.

No data for 202 countries.

Source
ISSP 2010

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data36
Regression equation
Y = -3.348664 X +7.888
Correlation coefficient (r)-0.499
Coefficient of determination (R2)0.249

GDP per capita (current US$)
No. of data36
Regression equation
Y = -133752.014487 X +90397.878
Correlation coefficient (r)-0.631
Coefficient of determination (R2)0.398

Life expectancy at birth - Both sexes (years)
No. of data35
Regression equation
Y = -19.737899 X +86.906
Correlation coefficient (r)-0.512
Coefficient of determination (R2)0.262

Fertility rate, total (births per woman)
No. of data35
Regression equation
Y = 0.706603 X +1.386
Correlation coefficient (r)0.211
Coefficient of determination (R2)0.045

Suicide - all ages (per 100,000 population)
No. of data35
Regression equation
Y = -4.083532 X +14.993
Correlation coefficient (r)-0.075
Coefficient of determination (R2)0.006