2.4. Socio-economic trends and inequalities
Europe continues to become wealthier. However, inequalities
persist, not only between European countries, but also within the country’s
towns and cities (especially less developed regions and neighbourhoods),
between social groups and also between Europe and neighbouring countries.
As highlighted in the Joint Report on Social Protection
and Social Inclusion (European Commission, 2008), social and economic policies
can and should be mutually supportive. In recent years, social protection
reforms and active inclusion policies have contributed to higher growth and
more jobs. Still, more needs to be done to ensure that the benefits of an
improved economic framework reach those at the margins of society and enhance
social cohesion. Preventing and tackling poverty and social exclusion, as well
as modernising social protection, combining both social adequacy and economic
sustainability in a framework of sound fiscal policies, is therefore fundamental
to Europe’s sustainable development. Policy consistency and coordination,
including mainstreaming gender equality and solidarity between generations are
essential to achieve the objective of fully including the most vulnerable in
society. Sustained efforts will be required during, and beyond, the next cycle
of the Lisbon strategy.
Good indicators of the wealth differences existing
between countries are the per capita Gross National Income and the per capita
Gross Domestic Product. The
data reported in Figure 2.2 clearly show that large differences existing among
EU Member States in terms of gross national income and gross domestic product
per capita and, particularly, between the groups of the 15 countries already
members of the EU before 2004 and of those who joined the EU in 2004.
Figure 2.2. Gross Domestic Product and Gross National Income per
capita in EUGLOREH Countries, 2007.
GDP is defined as the produced value of all goods and
services less the value of any goods or services used in their creation. The
calculation of the annual growth rate of GDP per capita at constant prices
allows comparisons of the dynamics of economic development both over time and
between economies of different sizes. The growth rate is calculated from
figures at constant prices since these give volume movements only, i.e. price
movements will not inflate the growth rate. Table 2.1 provides an overview of
the growth rate of real GDP over the last 10 years of all the EU member States and
allows a comparison of the dynamics of economy in these countries.
Europe has become wealthier overall as it is shown
by the fact that a steady economic growth has been experienced in the last 10
years. However, recent EUROSTAT estimates1 indicate that GDP in the
Euro Area and in EU27 declined in the third and forth quarter of 2008 (with
respect to their respective previous quarters) and current forecasts are
rapidly varying downward.
Table
2.1. Growth rate of real gross
domestic product in EUGLOREH countries.
Inequalities
persist, not only between European countries, but also within the country’s
towns and cities (especially less developed regions and neighbourhoods),
between social groups and also between Europe and neighbouring countries.
Regions of relative wealth coexist with those less economically developed
(Eurostat, 2005). Even broader gaps can be found inside the biggest European
cities. Some 15% of European Union citizens are regarded as being poor. Relative
poverty rates in the EU25 range from 8% in the Nordic countries, the Czech Republic and Slovenia to 21% in Greece, Ireland and Slovakia. There seems to
have been some convergence in the extent of poverty across the EU15 since the
mid 1990s, though no overall reduction can be observed (APPLICA, 2005; Table
2.2).
Table 2.2. At risk of poverty rate in EU27 and Croatia.
Out of the 78
million Europeans living at risk of poverty, 19 million are children. Ensuring
equal opportunities for all through well-designed social policies, and
strengthening efforts aimed at successful educational outcomes for each child,
is necessary to break the transmission of poverty and exclusion to the next
generation. Here, inclusion and anti-discrimination policies need to be
reinforced, not least in relation to immigrants and their descendants and to
ethnic minorities (Joint Report on Social Protection and Social Inclusion,
2008). When children are poor, it is because they live in jobless or low
work-intensity households or because their parent’s jobs do not pay
sufficiently and income support is inadequate to ward off the risk of poverty.
Therefore, the implementation of balanced, comprehensive active inclusion
strategies is an indirect but major element in promoting well-being of children
and young people. This involves a combination of quality job opportunities,
allowing parents to integrate and progress in the labour market, adequate and
well-designed income support and the provision of necessary services for
children and their families. The appropriate balance must be struck between
helping families and targeting children in their own right. The best performers
target the most disadvantaged children within a broader universal approach.
Efforts to tackle poverty – of children and overall - will gain leverage from
an evidence-based diagnosis of the main causes of poverty and exclusion in each
Member States. within this context, national quantified objectives can be
instrumental in making a decisive impact on the eradication of poverty. This
can be further strengthened by the regular monitoring of policies’ impact and
effectiveness and, where needed, by a reinforcement of the statistical
capacity.
High risk populations in Europe, indicated by low level
of education, occupational class, income level, or other groups such as
migrants, differ in incidence and prevalence rates, treatment and cure rates,
and access to health services (Report prepared by APPLICA, 2005; Semenza and
Giesecke, American Journal of Public Health).
An independent comprehensive expert Report on “Health
inequalities “, commissioned by, and published under the auspices of the UK
presidency of the EU in October 2005, and other documents clearly indicate that:
·
in
all countries with available data, rates of premature mortality are higher
among those with lower levels of education, occupational class, or income;
·
inequalities
in mortality exist from the youngest to the oldest ages and in both genders,
but tend to be smaller among women than among men; and
·
inequalities
in mortality can also be found for many specific causes of death, including
cardiovascular disease, many cancers, and injury.
These inequalities in mortality lead to substantial
inequalities in life expectancy at birth (4 to 6 years among men, 2 to 4 years
among women). In many Western European countries, mortality differences between
socio-economic groups widened during the last three decades of the 20th
century. This continued into the 1990s, and has led to considerable increases
of the relative excess risk of dying in the lowest socio-economic groups.
The explanation of this disturbing phenomenon is only
partly known. One aspect which should certainly be taken into account, however,
is that this widening of the relative gap in death rates is generally the
result of a difference between socio-economic groups in the speed of mortality
decline. While mortality declined in all socio-economic groups, the decline has
been proportionally faster in the higher socio-economic groups than in the
lower. The faster mortality declines in higher socio-economic groups were in
their turn mostly due to faster mortality declines for cardiovascular diseases.
In many Western European countries, the 1980s and 1990s were decades with
substantial improvements in cardiovascular disease mortality. This was due to
improvements in health-conducive behaviours (e.g. less smoking, modest
improvements in diet and more physical exercise), and to the introduction of
effective healthcare interventions (e.g. hypertension detection and treatment,
surgical interventions and thrombolytic therapy). Apparently, while these
improvements were to some extent taken up by all socio-economic groups, the
higher socio-economic groups tended to benefit more from them.
The available evidence suggests that during - the late
1980s, inequalities in mortality were in Eastern Europe at least as big, and
perhaps even bigger than in Western Europe. For example, a study looking at
differences in mortality by level of education in Finland, Norway, Italy, Hungary, the Czech Republic and Estonia in the late 1980s showed
substantial inequalities in mortality in all countries, both among men and
women. Among men, the excess mortality ranged between 50 and 78 per cent in the
three Eastern European countries, as compared to between 25 and 41 per cent in
the three Western European countries. Among women, however, relative
inequalities in mortality were of similar magnitude in the Eastern compared to
the Western countries. Since the political transition, mortality rates have
changed dramatically in many countries in Eastern Europe, sometimes for the
better (e.g. in the Czech Republic) but often for the worse
(e.g. in Hungary and Estonia), particularly among men. This is probably due to
a combination of (interlinked) factors: a rise in economic insecurity and
poverty; a breakdown of protective social, public health and healthcare
institutions; and a rise in excessive drinking and other risk factors for
premature mortality. The available evidence clearly shows that these changes in
mortality have not been equally shared between socio-economic groups: in the
countries with available data, mortality rates have generally improved less, or
deteriorated more, in the lower socio-economic groups. Apparently, people with
higher levels of education have been able to protect themselves better against
increased health risks, and/or have been able to benefit more from new
opportunities for health gains. An example is provided by Estonia where a considerable rise of inequalities in mortality has occurred. Evidence from some
other Eastern European countries suggests a similar widening of the gap in
death rates. The fact that this is not seen in some other countries (e.g. the Czech Republic), however, suggests that a widening of the health gap in a period
of important political and economic change is not inevitable.
As in the case with mortality, rates of morbidity are
usually higher among those with a lower educational level, occupational class
or income level:
·
substantial
inequalities are also found in the prevalence of most specific diseases
(including mental illness) and most specific forms of disability;
·
over
the past decades, inequalities in morbidity by socio-economic position have
been rather stable; and
·
together
with inequalities in mortality, inequalities in morbidity contribute to large
inequalities in 'healthy life expectancy' (number of years lived in good
health).
Inequalities are also evident in the prevalence of
self-reported chronic conditions by level of education among people aged 25-79
during the ’90s. Data indicate that most chronic diseases have a higher
prevalence in the lower educational groups.
Moreover, the European Commission also released the
Communication on “Unequal Welfare States, Distributive Consequences of
Population Ageing in Six European Countries”. DG Employment and Social Affairs,
2004. As retired people generally have lower incomes than employed workers,
ageing will lead to a slight rise in income inequality in Europe in the next 20
years. Larger numbers of people with lower incomes will in turn lead to higher
poverty rates.
While healthcare
systems have contributed to significant improvements in health across the EU,
access to healthcare remains uneven across social groups. A major challenge is
allowing access for all to high quality care reflecting recent technological
progress while ensuring sustainability. Hence, Member States are implementing
policies to reduce these inequalities, e.g. by: addressing risk factors through
health promotion; reducing the prevalence and incidence of
certain diseases; and ensuring more effective prevention activities in various
settings (at home, school, work). Also important are the steps to increase
population coverage, address financial barriers to care, emphasize promotion
and prevention activities over curative care, and address cultural barriers to
the use of services. The Structural funds will be used to support reform and
capacity building mainly to improve access and develop human resources. A
combination of general policies and those tailored to lower socio-economic
groups is needed. Virtually, all Member States have implemented universal or
almost universal rights to care and have adapted services to reach those who
have difficulty in accessing conventional services due to physical or mental
disability or to linguistic or cultural differences. Few have begun to address
health inequalities systematically and comprehensively by reducing social
differences, preventing the ensuing health differences, or addressing the poor
health that results. This would ensure in practice equal access for equal
needs. Finally, policies outside the health sector are also central to
improving the health of the population and reducing the existing gaps in
healthcare provision (Joint Report on Social Protection and Social Inclusion,
2008).