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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 Finland25.2%
34 Sweden24.3%
35 Norway20.2%
36 Japan 16.7%

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 = -2.792185 X +7.673
Correlation coefficient (r)-0.485
Coefficient of determination (R2)0.235

GDP per capita (current US$)
No. of data36
Regression equation
Y = -131302.048230 X +90117.662
Correlation coefficient (r)-0.591
Coefficient of determination (R2)0.349

Life expectancy at birth - Both sexes (years)
No. of data35
Regression equation
Y = -25.571346 X +88.544
Correlation coefficient (r)-0.543
Coefficient of determination (R2)0.295

Fertility rate, total (births per woman)
No. of data35
Regression equation
Y = 0.442040 X +1.501
Correlation coefficient (r)0.128
Coefficient of determination (R2)0.016

Suicide, age-standardized (per 100 000 population)
No. of data35
Regression equation
Y = -3.722130 X +12.236
Correlation coefficient (r)-0.083
Coefficient of determination (R2)0.007