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| This is a text version of the article in FAMILY MATTERS no.54 Spring/Summer 1999, pp.65-69 |
Whether measured in relative or real terms, child poverty varies widely across industrialised countries, with most countries having higher levels of national income tending to have lower real poverty rates. The data show Australia as having a relatively high child poverty rate, although the half overall median poverty rate is lower than the United States and United Kingdom.
In the largest industrialised country, the United States, child poverty rates remain high despite relatively high average incomes. Child poverty rates also tend to be higher than average in the other English-speaking countries (including Australia), but much lower than average in the Nordic countries. In the former-socialist countries, dramatic falls in incomes associated with the transition to capitalist economies have led to equally dramatic increases in child poverty.
Why is there so much variation in child poverty rates between countries at similar levels of economic development? What roles do differences in family structure (for example, sole-parenthood), labour markets (for example, unemployment), and welfare state institutions (income transfer programs) play in explaining this variation?
This article presents results from a recent UNICEF study of patterns of child
poverty across the industrialised world (Bradbury and Jäntti 1999). The study
is based on data from the Luxembourg Income Study (LIS)(1)
covering some
25 industrialised countries, including most of the OECD, several of the
important non-OECD economies of Eastern Europe (including Russia), and
one representative of the newly industrialising countries of East Asia
(Taiwan).
Measuring child poverty
In rich nations, poverty is rarely so severe as to threaten survival itself.
However, it is still true that 'money matters' for children. Household
consumption, whether in the form of goods and services purchased on the
market, or via the provision of goods and services by the state, affects child
wellbeing both directly and indirectly. Consequently, children are defined
here to be poor when they live in a household which has 'a particularly low
level of consumption'.
The possibility of social exclusion and its associated social fragmentation is
one major reason for our concern about poverty (although not the only
reason). For children, the impact of poverty on their social integration is
often via their parents. Parents with access to levels of material resources
that are low for their society may be excluded from the mainstream of social
activities, and this may in turn exclude their children. In addition, reduced
consumption opportunities may also exclude children directly, particularly
as they become older and seek to form social contacts outside the home. As
one 14-year-old girl in a family reliant upon state benefits in the United
Kingdom says to Roker and Coleman (1998: 17) 'For me it's about not being
part of things, not having the money to live normally like other people.'
The measure of consumption used here is the equivalent annual disposable
income of the household in which the child lives(2). Income includes market
incomes and government cash transfers, and deducts income taxes and
compulsory social insurance contributions. People aged less than 18 years
are defined as children. It is assumed that every person in the household
has the same poverty status. Income is divided by an 'equivalence scale'
which takes account of the variations in needs as household size changes.
The scale used in the results presented here is needs = (adults + children x
0.7) 0.85 . (Sensitivity testing shows
little change in cross-national patterns
when an alternative equivalence scale is used.)
The literature on poverty measurement has typically used two types of poverty threshold: 'absolute' and 'relative' poverty lines. 'Absolute', or more properly, fixed real price poverty lines, are thresholds which permit people living in specified family types to purchase the same bundle of goods and services in different countries or times. Children living in families that fall below the common consumption threshold are therefore considered to be poor. 'Relative' poverty lines, on the other hand, are more closely related to concepts of social exclusion. These poverty lines are typically defined with reference to a measure of 'typical' consumption levels (for example, half median income).
Both relative and real measures provide important insights into the way
the living conditions of the most disadvantaged children vary across
countries. This article uses three different indicators of child poverty - an
overall median poverty line, the US official poverty line, and the relative
mean income of the poorest fifth of children.
Overall median poverty line. This relative line is the most common form
of poverty line used in international comparisons. For each individual in
the population, their household equivalent income is calculated. The
poverty line is defined as 50 per cent of the median of this variable across
the national population.
The US official poverty line. This real poverty line is set equal to the United
States official poverty line for a couple plus two children in 1995 (USD
15,299). National currencies are converted to US dollars by using a
purchasing power parity index (PPP) for 1995 and national inflation rates to
deflate incomes over time. These price adjustments are likely to be less
robust for the transition countries, not least because of the hyper-inflation
experienced in many of these after 1989.
The relative mean income of the poorest fifth of children. The mean
equivalent household income of the poorest one-fifth of children is
calculated, and this is divided by the median household income of children.
This thus shows the distance of the poorest children from the average child
(rather than the average person as for the overall median poverty line).
Nonetheless it is highly correlated with the overall median poverty line
(across countries the correlation is - 0.95). However, being based on average
incomes rather than income thresholds means that it is easier to identify
the sources of variation, and this feature is used below.
Poverty patterns
Table 1 shows the level of child poverty for the latest available LIS years
using the relative and absolute poverty indicators. The countries are sorted
by descending child poverty rate, using the half overall median poverty line.
| Country | Year | Poverty rate using different poverty lines | |||
|---|---|---|---|---|---|
| 50% of overall median | US poverty line | ||||
| Rate | Rank | Rate | Rank | ||
| Russia | 1995 | 26.6 | (1) | 98.0 | (1) |
| United States | 1994 | 26.3 | (2) | 18.5 | (12) |
| United Kingdom | 1995 | 21.3 | (3) | 28.6 | (10) |
| Italy | 1995 | 21.2 | (4) | 38.1 | (9) |
| Australia | 1994 | 17.1 | (5) | 20.7 | (11) |
| Canada | 1994 | 16.0 | (6) | 9.0 | (16) |
| Ireland | 1987 | 14.8 | (7) | 54.4 | (6) |
| Israel | 1992 | 14.7 | (8) | 45.3 | (8) |
| Poland | 1992 | 14.2 | (9) | 90.9 | (3) |
| Spain | 1990 | 13.1 | (10) | 47.3 | (7) |
| Germany | 1994 | 11.6 | (11) | 12.4 | (14) |
| Hungary | 1994 | 11.5 | (12) | 90.6 | (4) |
| France | 1989 | 9.8 | (13) | 17.3 | (13) |
| Netherlands | 1991 | 8.4 | (14) | 10.0 | (15) |
| Switzerland | 1982 | 6.3 | (15) | 1.6 | (24) |
| Taiwan | 1995 | 6.3 | (16) | 4.3 | (20) |
| Luxembourg | 1994 | 6.3 | (17) | 1.1 | (25) |
| Belgium | 1992 | 6.1 | (18) | 7.9 | (17) |
| Denmark | 1992 | 5.9 | (19) | 4.6 | (19) |
| Austria | 1987 | 5.6 | (20) | 5.4 | (18) |
| Norway | 1995 | 4.5 | (21) | 2.8 | (22) |
| Sweden | 1992 | 3.7 | (22) | 3.7 | (21) |
| Finland | 1991 | 3.4 | (23) | 2.6 | (23) |
| Slovakia | 1992 | 2.2 | (24) | 95.2 | (2) |
| Czech Republic | 1992 | 1.8 | (25) | 85.1 | (5) |
Unfortunately, Australia is one country where there is significant statistical uncertainty over the level of poverty in the 1990s. The poverty rates for Australia shown in this article place Australia in a similar position relative to other countries as did earlier research conducted during the 1980s. Some researchers have argued, however, that increases in income support payments have led to a subsequent decrease in Australian poverty rates (Harding and Szukalska 1999).
To aid international comparability, the Luxembourg Income Study uses the
annual income measure collected in the Australian Bureau of Statistics
surveys for the Australian data. This shows a slight increase in child
poverty between the 1980s and 1990s. Harding and Szukalska use an
alternative 'current' income definition - which shows a fall in poverty.
Unfortunately the Australian Bureau of Statistics changed their income
survey methodology in the early 1990s, and there are reasons to believe that
neither the annual nor the current income measures are fully comparable
with the income data collected in the 1980s. Hopefully, more detailed
research in the future will allow us to say with more confidence which
income measure is best for Australian time series and/or cross-national
comparisons.
Returning to the larger cross-national picture, surprising diversity is found
among the five former socialist countries in the LIS database. These
countries have the lowest national incomes and this is reflected in their
very high poverty rates based on the US poverty line. However, in terms of
relative poverty, these data show wide diversity in the experience of
transition from socialism. Of the 25 countries, Russia has the highest
(overall median) child poverty rate and the Czech Republic the lowest.
Although the process of industrialisation is often associated with increased inequality, our single example of an East Asian economy, Taiwan, has a comparatively low child poverty rate - not that different from those found in Northern Europe. Whilst this data does not take account of the financial responsibilities of Chinese parents for their own parents living in other households, this result is nonetheless surprising and deserving of more research.
We now turn to the 'real' measure of poverty, that based on the US poverty line and PPP-adjusted incomes. The poverty ranking using this standard of living definition is quite different from the ones obtained using relative definitions. In particular, the transition economies now all have very high poverty rates. For instance, in the Czech and Slovak Republics (which had the lowest poverty rates using the half overall median poverty line) almost all children are now counted among the poor (though these estimates should not be considered precise).
Turning to the wealthier countries, we find that a large proportion (almost
one-fifth) of US children are poor, compared to the low of 1.1 percent in
Luxembourg or 1.6 per cent in Switzerland. The north European and Nordic
countries with low levels of relative child poverty have also low levels of
poverty measured against the US poverty line. For instance, in Sweden 3.7
and in Belgium 7.9 per cent of all children are poor. Italy, Ireland and Spain
all have very high levels of child poverty using this measure. In Australia
and the United Kingdom, more than one-fifth of all children have a
standard of living that is lower than the US official poverty line.
In Figure 1, these poverty estimates are compared against the per-capita
national incomes of each country (the former socialist countries are off the
scale at the top of the figure). As would be expected, countries with higher
national income levels are able to ensure that fewer of their children live in
families with incomes below the US poverty line.
However, this presentation provides only part of the story. One problem
with this approach is that it is not symmetric; it shows the effect of
excluding transfers, but does not show the complementary possibility of
households living on transfers alone. Moreover, any counter-factual
assumptions are just that - counter to fact. It is very likely that market
incomes would change substantially in the total absence of public transfers,
particularly since this counter-factual implies that large fractions of the
population would have zero incomes.
An alternative way of showing the relationship between market incomes,
state transfers and children's living standards is shown in Figure 2. For
convenience of exposition, this figure disaggregates the relative mean
income of the poorest fifth of children in each country. As noted above, this
is strongly correlated with the half-median relative poverty measure.
For the poorest one-fifth of children in each country, the elements of the
following identity are calculated
| Mean disposable income | = | Mean market income | + | Mean net social transfers | Median | Median | Median |
We can use this figure to show how the cross-national variation in the
relative disadvantage of poor children (variation from bottom-left to top
right) is due to variation in market incomes (left to right variation) or
variation in net social transfers (up - down). Even though there is
substantial variation between countries in net social transfers, there is even
greater variation in the relative levels of the market incomes received by
the households of the most disadvantaged children. That is, there is more
horizontal than vertical spread in Figure 2.
It is also interesting to note that, in countries where the families of the most
disadvantaged children have market incomes that are well below average,
there tends to be a higher level of social transfers. There are at least two
interpretations possible for this correlation. One is the behavioural-response
hypothesis: high levels of social transfers to the most disadvantaged
suppress their labour supply, and that market incomes adjust to more than
offset the patterns of social transfers. The other is that in countries where
markets lead to substantial child poverty there is a policy response to
alleviate this - that is, that social transfers reduce the dispersion in poverty
rates arising from the market. Given that the former would imply an
extremely (and unlikely) strong behavioural responses, it would seem that
the variation in social transfers across nations does reduce the cross
national variation in poverty, at least to some degree.
The English-speaking countries provide an interesting illustration of the
strength of the correlation between social and market incomes, and the wide
variation in the latter. Whilst the United States has the highest relative
child poverty rate among the non-transition countries, the other English
speaking countries also have high poverty rates (see Table 1). Yet these
countries, as a group, actually have a comparatively high level of social
transfers going to their most disadvantaged children.
Indeed, if we use as our 'poverty' index the average income of the poorest 20
per cent of children relative to that of the median child, we can use Figure 2
to describe results using a counter-factual simulation that is the opposite of
that commonly employed. If the poorest 20 per cent of children were forced
to rely only upon the social transfers that their families were receiving at
the time of these surveys, then the relative poverty rates in Ireland, the
United Kingdom, Hungary, the Slovak Republic and Australia would all be
lower than those in Sweden. In fact, however, it is the high labour market
earnings of Swedish parents that ensure high living standards for the most
disadvantaged children in that country.
Conclusions
Child poverty, whether measured in relative or real terms, varies widely across
the industrialised countries. The results presented here, based on the latest
available LIS data for early to mid 1990s are, in most cases, in line with earlier
studies. Nordic and Northern European countries have low rates of child
poverty, whereas Southern European and English-speaking countries tend to
have high rates. The poverty ranking of the former socialist economies,
depends very much on whether a real or relative poverty line is used.
The data presented here show Australia as having a relatively high child
poverty rate, although the half overall median poverty rate is lower than
the United States and United Kingdom. Whilst this is consistent with other
results from the 1980s, there is some uncertainty about whether this pattern
is still an accurate reflection of the living standards of Australian children
in the mid-1990s. Other data show a more favourable trend for Australian
child poverty.
Across the whole spectrum of industrial countries considered here, those
with higher levels of national income do tend to have lower real poverty
rates. Important deviants from this relationship are the United States, which
has a much higher level of child poverty than its national income would
suggest, and Taiwan, which has a lower than expected child poverty rate.
Children are generally more likely to be poor if living with a lone mother,
but variations in rates of lone motherhood are not an important reason for
the variations in child poverty across countries.
Whilst cash transfers to poor families are important for their living
standards, market incomes are also important. Indeed, they appear to play a
larger role than state transfers in accounting for the cross-national diversity
of outcomes for disadvantaged children. The English-speaking countries
other than the United States, for example, actually provide quite substantial
income transfers to the families of their most needy children. However, the
living standards of these children remain relatively low because of low
labour market incomes.
This suggests that improvements in unemployment, wages for parents and
mothers' employment should be a central focus of policy efforts to increase
children's living standards. Such an emphasis on labour market outcomes
need not necessarily be associated with welfare state retrenchment. Indeed
the higher living standards of the most disadvantaged children in the
'welfare leaders' (particularly the Nordic countries) is due to the higher
market incomes in these families. Whether this is because of different
labour market and family support policies (such as child care subsidies),
because of the different incentive structures imposed by different targeting
patterns, or because of other factors, remains to be seen.
Notes
1 The Luxembourg Income Study comprises a database of household income survey information, adjusted to be as comparable as possible. For more information see http://lissy.ceps.lu/.
2 In the United Kingdom and Russia 'current' income is used, and in
Sweden and Switzerland the sharing unit is the tax unit rather than the
household. In Bradbury and Jäntti (1999) it is argued that broadening the
income measure to include non-cash benefits provided by the state, and to
take account of household savings patters, is unlikely to change the cross
national ranking of child poverty rates to any great degree.
References
Bradbury, B. & Jäntti, M. (1999), Child Poverty Across Industrialised
Nations, Innocenti Occasional Papers, Economic and Social Policy Studies,
No. 71, UNICEF International Child Development Centre, Florence.
http://bruceb.sprc.unsw.edu.au/papers/Iop71d.pdf
Harding, A. & Szukalska, A. (1999), Trends in Child Poverty in Australia 1982 to 1995-96, NATSEM Discussion Paper No. 42, National Centre for Social and Economic Modelling, Canberra. http://www.natsem.canberra.edu.au/pubs/dps/dp42/dp42.html
Roker, D. & Coleman, J. (1998), 'The invisible poor: young people growing up in family poverty', Paper presented at the conference to mark the centenary of Seebohm Rowntree's first study of poverty, in York, University of York, 18-20 March.
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