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Table 5.2.2<br />

Support of the different respondent groups for the measures that are necessary for coping with the impacts of globalisation<br />

(the position of the measure in the ranking is based on the percentage of supporters)<br />

Total sample,<br />

2013<br />

Economic<br />

policymakers,<br />

2013<br />

Economic<br />

policymakers,<br />

2000<br />

International cooperation for fighting crime 4 – 5 2 – 3 1 – 2<br />

Stricter rules to ensure the transparency of financial institutions 7 6 1 – 2<br />

Stronger supervision of the financial sector by<br />

the Bank of Estonia and the Financial Supervision Authority<br />

8 7 – 8 3 – 5<br />

Stronger industrial and technological policies 3 2 – 3 3 – 5<br />

Rising labour quality for coping in international competition 1 1 3 – 5<br />

International cooperation related to environmental protection 6 5 6<br />

International cooperation to prevent money laundering and banking-related crime 10 9 – 10 7<br />

Measures against abusing off-shore zones 12 11 8 – 9<br />

Maintaining of Estonia’s cultural identity 2 4 8 – 9<br />

Strengthening and better financing of the social protection system<br />

(helping people to cope with a crises)<br />

4 – 5 7 – 8 10<br />

Subsidising/supporting agriculture 9 12 11<br />

Protective measures to preserve jobs in Estonia 13 – 14 13 12<br />

Barriers to prevent unwanted immigration 13 - 14 14 *<br />

International cooperation to fight against diseases and epidemics 11 9 – 10 *<br />

*Measures indicated with a * were not included in the 2000 survey.<br />

If we compare the measures preferred by economic policymakers<br />

in 2000 with those in 2013, we see that the<br />

ones related to the financial sphere (overcoming banking<br />

problems) and fighting crime are not as topical any more.<br />

However, the importance of developing labour quality, and<br />

to a certain extent, also the development of industrial and<br />

technology policies, and the social protection system, as<br />

well as the preservation of cultural identity has increased.<br />

In the subsequent interpretation of measures, we<br />

have distributed the individual measures into three<br />

groups: 1) protectionist measures – measures to protect<br />

jobs, farmers’ subsidies, immigration barriers, also the<br />

possible reintroduction of the national currency and<br />

departure from the euro area; 2) measures to consolidate<br />

the economic environment; 3) measures related to<br />

development activities and international cooperation<br />

(see Table 5.2.3). We did not include the preservation of<br />

cultural identity and the strengthening of the social protection<br />

system as more universal aspirations in this classification;<br />

therefore in the following table, the columns<br />

showing the percentages of the supported measures do<br />

not add up to 100 percent.<br />

We see that support for the protectionist measures<br />

was quite limited, as was also true in the 2000<br />

survey. The measures related to economic development<br />

and international cooperation were mentioned most<br />

frequently by all the expert groups, whereas especially<br />

noteworthy was the strong support to these from the<br />

economic policymakers. Compared to the 2000 survey,<br />

the importance of consolidating the economic environment<br />

has decreased somewhat, in the opinion of the<br />

economic policymakers.<br />

Table 5.2.3<br />

The support of the elite groups for the different types of<br />

measures (support for the measures of the corresponding<br />

group among all the measures supported by the<br />

given elite group (%))<br />

Entrepreneurs<br />

Above, we placed each of the individual measures in<br />

one of three groups, based on what its main contribution<br />

seemed to be from the survey compilers’ viewpoints.<br />

However, in reality, the respondents’ views may<br />

differ somewhat from this grouping. In order to understand<br />

the perception of the measures and their connection<br />

by respondents we used cluster analysis 2 . Based<br />

on data clustering the measures were concentrated in<br />

clusters as to their “proximity” or “remoteness”. In the<br />

case of each cluster, we can speak about a “cluster forming<br />

measures”, around which the others converge. It is<br />

also possible to determine, which measures selected by<br />

Economic policymakers<br />

Politicians<br />

Cultural figures<br />

PhDs<br />

Economic policymakers,<br />

2000<br />

Protectionist measures 10 4 14 11 18 5<br />

Measures to consolidate the<br />

economic environment<br />

Development activities and<br />

international cooperation<br />

24 27 22 24 21 42<br />

48 52 44 42 40 47<br />

2 In the analysis, we used k-means cluster analysis.<br />

Estonian Human Development Report 2012/2013<br />

199

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