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Question: Are you in favour of or against government support for industry to develop new products and technology?
Choices: "Strongly in favour of" "In favour of" "Neither in favour of nor against" "Against" "Strongly against"
Data: % of "Strongly in favour of" "In favour of"
Period:
Area:
35 countries/ areas
Highlight:
1 Taiwan96.6%
2 Latvia96.1%
3 Slovenia95.4%
4 Croatia91.0%
5 Australia90.7%
6 Georgia90.4%
7 New Zealand89.7%
8 Norway89.5%
9 Venezuela88.8%
10 Iceland88.4%
11 United Kingdom87.1%
12 Spain85.9%
13 Israel85.6%
14 Japan 84.8%
15 France84.0%
16 Hungary83.6%
17 Philippines82.9%
18 South Africa82.8%
19 India82.7%
20 Thailand82.3%
21 Suriname82.1%
22 Belgium81.0%
22 Republic of Korea81.0%
24 United States79.6%
25 Germany78.3%
26 Slovakia76.9%
27 Finland74.8%
28 Lithuania74.6%
29 Turkiye72.9%
30 Denmark72.2%
31 Chile71.7%
32 Switzerland71.1%
33 Russian Federation67.8%
34 Czech Republic67.1%
35 Sweden66.1%

Note
Can't choose/ No answer are excluded.

No data for 203 countries.

Source
ISSP 2016

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data34
Regression equation
Y = -0.968518 X +7.236
Correlation coefficient (r)-0.101
Coefficient of determination (R2)0.010

GDP per capita (current US$)
No. of data35
Regression equation
Y = -16477.696172 X +49106.233
Correlation coefficient (r)-0.051
Coefficient of determination (R2)0.003

Life expectancy at birth - Both sexes (years)
No. of data34
Regression equation
Y = 0.249444 X +77.555
Correlation coefficient (r)0.003
Coefficient of determination (R2)0.000

Fertility rate, total (births per woman)
No. of data34
Regression equation
Y = 0.701865 X +1.158
Correlation coefficient (r)0.132
Coefficient of determination (R2)0.017

Suicide, age-standardized (per 100 000 population)
No. of data34
Regression equation
Y = -5.896149 X +16.266
Correlation coefficient (r)-0.081
Coefficient of determination (R2)0.007