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Although the Easterlin paradox has been questioned, the<br />

explanations behind it at the individual level are worth<br />

consideration. Namely, Easterlin asserts that people’s<br />

happiness does depend on their income level, but on its<br />

relative position. According to Easterlin and his proponents,<br />

people’s well-being depends, primarily, on how<br />

we position ourselves relative to others, or in comparison<br />

with some social norm. Justified envy can poison our<br />

sense of happiness. The latter refers to perceived injustice,<br />

i.e. when people believe that incomes vary not because<br />

of objective circumstances, like diligence, knowledge and<br />

abilities, but because someone was “at the right place at<br />

the right time” or knew the “right people”. Such justified<br />

envy generally reduces the sense of well-being. Some<br />

authors (Heliwell et al. 2012) call the opposite situation,<br />

i.e. the envy-free distribution of income, an institutional<br />

advantage, and conceptualise it as social trust.<br />

Figure 3.1.3 shows association between income distribution<br />

(Gini coefficient) and life-satisfaction in various<br />

countries. The correlation between the Gini coefficient<br />

(the closer to the 100% the greater is the income inequality)<br />

and life-satisfaction is apparent. In the countries with<br />

greater income equality (e.g. Sweden, the Netherlands,<br />

and Finland), the people are more satisfied. Some of the<br />

post-Communist countries, like Slovakia and the Czech<br />

Republic, belong to the group of states with small income<br />

inequalities, but the satisfaction indicator in these countries<br />

is below average (i.e. below the regression line). On<br />

the other hand, the life-satisfaction in Ireland and Great<br />

Britain is greater, despite a relatively high Gini coefficient.<br />

These deviations from statistical regularity may be<br />

explained by the existence, or lack of, justified envy.<br />

It is important to note that none of the aforementioned<br />

analyses refer to a causal relationship between<br />

well-being and wealth (or unemployment), or between<br />

well-being and the income inequality (social trust). These<br />

Table 3.1.1<br />

Change in real public social expenditures and the economic<br />

crisis – 2011 compared to 2007<br />

Change in real social expenditures<br />

(2011 compared to 2007, average 0.7% (S.D. 8.5%)<br />

Above<br />

average<br />

(3.6%)<br />

Aroundaverage<br />

(-4.9%<br />

to 3.6%)<br />

Below<br />

average<br />

(-4.9%)<br />

Source: OECD, 2012<br />

Below<br />

average<br />

(5.7%)<br />

Hungary<br />

t<br />

Around<br />

average<br />

(5.7% to<br />

14.2%)<br />

Poland,<br />

Sweden<br />

Austria,<br />

Denmark,<br />

Finland,<br />

Netherlands,<br />

Slovakia<br />

Czech Republic,<br />

Estonia,<br />

Ireland,<br />

Slovenia<br />

Above<br />

average<br />

(14.2%)<br />

Chile,<br />

Israel,<br />

Switzerland,<br />

South Korea<br />

New Zealand<br />

Figure 3.1.4<br />

The dynamics of social expenditures, from 2007 to 2011,<br />

in selected countries (% of GDP)<br />

2007 2011 growth compared to 2007<br />

Denmark<br />

Finland<br />

Austria<br />

Slovenia<br />

Netherlands<br />

Ireland<br />

Hungary<br />

New Zealand<br />

Czech Republic<br />

Poland<br />

Switzerland<br />

Estonia<br />

Slovakia<br />

Israel<br />

Chile<br />

South Korea<br />

-5<br />

-5<br />

Source: OECD, SOCX database<br />

0 5 10 15 20 25 30<br />

0 5 10 15 20 25 30<br />

are correlations, or partial correlations, that do not allow<br />

us to ascertain what causes what. However, since the<br />

measurement of subjective well-being is complex, it may<br />

be reasonable to indicate well-being at the aggregate level<br />

by so called traditional measures, such as gross domestic<br />

product (GDP) and the Gini coefficient.<br />

3.1.2<br />

Welfare and the social protection<br />

expenditures<br />

The extent of the state’s social protection expenditures<br />

is common for mapping aggregate welfare spending<br />

and indicating the intensity of the welfare state. Social<br />

protection expenditures (social expenditures hereinafter)<br />

include spending in following main areas of social policy:<br />

health, labour market programmes and unemployment,<br />

old age, education and the family. It is evident that a welfare<br />

state cannot be characterised only by the size of its<br />

social programmes.<br />

In Europe, social spending-to-GDP ratios are 20%<br />

to 25%; in the emerging economies of Asia and South<br />

America, it is half of that. Although, in almost all of<br />

the reference states (except for Hungary), social expenditures,<br />

as a percentage of GDP, have increased after<br />

the recent crisis. However, the spending-to-GDP ratios<br />

do not increase only because real public expenditures<br />

(adjusted for inflation) have increased, but also because<br />

of the decline or slow growth of GDP. Estonia is a telling<br />

example of latter, while trends in GDP growth (decline)<br />

108<br />

Estonian Human Development Report 2012/2013

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