|

Disposable income
An initial way of understanding the standard of living of a population is
to refer to monetary indicators, for example, macroeconomic aggregates such
as gross domestic product or gross national product related to the number of
inhabitants. From the microeconomic viewpoint, this concerns disposable income
or consumer spending per household calculated from individual data gathered
during surveys.What is striking in this respect is not so much that Luxembourg
is at the top of the list, but rather that it is so far ahead of the other countries.
For the second country (Belgium), the indicator used (disposable income) is
28 % lower and the gap is 39 % compared with the community average.
Disposable income per household in the Europe of 15, percentages of poor households
and dispersion of income (1999)
| |
Disposable income
in PPS per adult equivalent Luxembourg = 100 |
Percentage
of households whose disposable income is less than 60 % of the median disposable income BEFORE TRANSFERS |
Percentage
of households whose disposable income is less than 60 % of the median disposable income AFTER TRANSFERS |
Ratio
between the share of total disposable income of the richest 20 % households
and the 20 % of poorest households |
| EU-15 |
61 |
26 |
18 |
5.4 |
| Belgium |
78 |
28 |
16 |
5.8 |
| Denmark |
69 |
26 |
9 |
2.7 |
| Germany |
69 |
24 |
16 |
4.8 |
| Greece |
42 |
23 |
22 |
6.5 |
| Spain |
44 |
25 |
19 |
6.8 |
| France |
64 |
28 |
18 |
4.7 |
| Ireland |
60 |
33 |
17 |
5.3 |
| Italy |
49 |
23 |
20 |
5.9 |
| Luxembourg |
100 |
26 |
12 |
4.6 |
| Netherlands |
69 |
21 |
12 |
4.4 |
| Austria |
67 |
25 |
13 |
3.8 |
| Portugal |
39 |
27 |
20 |
7.2 |
| Finland |
53 |
37 |
8 |
3.0 |
| Sweden |
56 |
30 |
10 |
3.4 |
| United Kingdom |
71 |
33 |
21 |
5.7 |
| Source: European Commission EUROSTAT |

Disposable income, adult equivalent, PPS
The disposable income of a household is equal to the income received by
the various members of the household (wages, rent, interest and various benefits)
from which we deduct taxes, social security contributions and other deductions.
For a given disposable income, the living standard of a couple with no children
is generally higher than that of a couple with several dependent children.
Due to economies of scale (it does not take twice as much energy to cook two
steaks instead of one), the disposable income is not divided by the size of
the household. The size and composition of a household are taken into account
by means of adult equivalents (or consumption units). Within a household,
the first adult is equal to one unit, while that of the other members is a
fraction (for example 0.8, 0.5, 0.3, 0.1). Living standards are therefore
measured by dividing disposable income by the total of the various weightings.
There are different scales or systems of weightings. The most common,such
as those used by the OECD, allocate the higher weighting to persons other
than the reference person and particularly to children.Others based on the
hypothesis of very large economies of scale, assign them a much lower weighting.
Scales of the first type entail sharp falls in living standards of families
with large numbers of children.With the latter, it is the relative position
of households consisting of a single person that deteriorates, and the reduction
in living standards of households with children becomes much lower.
In order to facilitate comparisons between countries, we use purchasing
power parities (PPPs). PPPs are defined as conversion factors that even out
the purchasing power of various currencies by eliminating divergences in price
levels between countries. Put most simply, PPPs are nothing more than price
ratios.The volume of economic aggregates, or income respectively, in purchasing
power standard (PPS) is obtained by dividing their original value in national
currency by the corresponding PPP. By way of example, and to simplify: In
Germany GDP per head was around 25 200 euro in 2001. Given that price levels
in Germany were index 104.79 based on index 100 for Europe as a whole, the
amount of 25 200 should be divided by 1.0479. GDP per head in Germany expressed
in PPS is therefore 24 050.Having eliminated the difference in price levels,
this amount can validly be compared to that of other European countries whose
price levels have been determined (compared to the European average) and calculated
the GDP per head in PPS. Income, or consumer expenditure, expressed in PPS
allows comparison of “real” purchasing power between different countries.
For comparisons it is necessary to take account of indirect taxation charged
on consumer expenditure, the amount of which is relatively higher for households
with lower incomes devoting a large proportion of their resources to consumption.This
aspect should not be overlooked in comparisons between countries. International
comparisons may be distorted by the exclusion of public goods and services
(education, health and culture) from which households benefit. So high direct
taxes reducing disposable income can have the effect of making available a
large amount of public goods or services.
The question arises as to why, in this comparison, Luxembourg is so far
ahead of the other EU countries, while it only appears in the leading group
when one considers salaries and the wages alone. An initial explanation would
be that replacement earnings, such as pensions or unemployment benefit, are
particularly high. Concerning pensions, they are much higher than those observed
in other countries. Expressed in PPS, they amount to over 20 000,whereas for
all other countries they do not exceed 15 000, and the community average is
approximately 11 000 (1995 figures).
Becoming unemployed almost always entails a considerable fall in the household’s
resources, and the low number of unemployed people certainly has largely positive
effects on the average amount of these resources. The very generous family
policy implemented for the past 15 years obviously has substantial repercussions
on the impact of households with dependent children. We have already mentioned
the low rate of deductions on salaries which reduce the difference between
gross and net income more than in most other countries.

Poverty and inequality of income
The measurement of poverty put forward by the EU Commission (EUROSTAT) starts
out from the distribution of income per household within a given country. It
is relative in character and thresholds of poverty vary from one country to
another, because they are not tied to a fixed amount of disposable income that
is identical throughout the EU. Households with disposable income below 60 %
of the national median are considered poor. The median is the value of a distribution
which divides them into two equal parts. This proportion of poor households
is often calculated before and after social transfers. In this way, the effectiveness
of redistribution policies can be evaluated. Without social transfers, Luxembourg
records a poverty level equal to the Community average which was 26 % in 1999.
By including these transfers in disposable income, this is greatly reduced to
12 %. The fact that it is now below the Community average of 18 % seems to show
that the effects of transfers are relatively large. Scandinavian countries,
Finland (8 %), Denmark (9 %) and Sweden (10 %) recorded the lowest poverty levels
(after social transfers). But it should always be borne in mind that the relative
character of the measurement implies that 12 % of the poor people in the Netherlands
have lower income than the 12 % of poor people in Luxembourg.
Inequalities in the distribution of income are highlighted by another indicator
put forward by the Commission: the relationship between the share of total income
of the richest 20 % and the poorest 20 %. In Luxembourg, the share of households
at the top of the scale is 4.6 times greater than that of households at the
bottom of the scale. While this ratio is lower than the community average of
5.4, those recorded in countries such as Sweden, Finland, Denmark and even Austria
show a far more egalitarian distribution of income. In general, there is a rather
close correlation between rates of poverty and inequality of income, and the
most inegalitarian countries have the highest proportion of poor people.
These differences in living standards can also be analysed according to a
socio-demographic topology of households. According to the results of the PSELL
survey (Panel Socio-Économique “Liewen zu Lëtzebuerg” - Vivre au Luxembourg)
conducted each year by CEPS/INSTEAD, single-parent and large families have the
lowest standard of living (disposable income taking account of consumption units)
in Luxembourg. The level of lower incomes - i.e. the level of households with
the standard of living below 60 % of the median national income - is lowest
among nuclear families without dependant children (7.3 %).
Average and median living standard and level of low incomes according to a socio-demographic
typology of households (2000)
Types of household |
Distribution
of types of household in the population as a whole |
Average
living standard |
Median
living standard |
Level
of low standard incomes1 |
| |
in % |
Euros/month |
Euros/month |
in % |
| Non-family households2 |
28.2 |
2 369 |
2 000 |
10.3 |
Single fathers or mothers
with dependent children
|
3.4 |
1 796 |
1 600 |
25.4 |
Single fathers or mothers
with adult children
|
2.7 |
2 351 |
2 190 |
7.5 |
Nuclear families3
without dependent children |
21.2 |
2 608 |
2 222 |
7.3 |
Nuclear families with
1 dependent child |
10.3 |
2 282 |
2 101 |
11.2 |
Nuclear families with
2 dependent children |
11.3 |
2 115 |
1 820 |
15.0 |
Nuclear families with
3 or more dependent children |
4.9 |
1 831 |
1 703 |
25.3 |
Family “clans”4
without dependent children |
12.3 |
2 361 |
2 116 |
8.0 |
Family “clans”
with one dependent child |
3.6 |
2 044 |
1 725 |
23.7 |
Family “clans”
with 2 or more children |
2.1 |
1 926 |
1 796 |
16.0 |
| Total |
100.0 |
2 314 |
2 016 |
11.7 |
Source: CEPS/INSTEAD
1 Level of low incomes = percentage of families with a living standard
below 60 % of the median national living standard
2 Non-family households = basically people living alone
3 Nuclear family = families consisting only of a couple (married or not)
with or without children
4 Family clans = families consisting of several adults (for example a
couple with one or more relatives in the ascending line) with or without
children |

Macroeconomic aggregates: Luxembourg
is still the “richest”
The privileged position of Luxembourg is apparent once again if we refer to
the gross national income per head. Chapter 1 contains an explanation of the
reasons for preferring this aggregate to GDP, once they are related to the number
of inhabitants.
To have an overall picture concerning living standard indicators,we can juxtapose
the evaluations of living standards based on the aggregates from national accounts
(gross national income), and the other values calculated from individual data
drawn from a sample survey (disposable income). As the third indicator of living
standards, we can take into consideration wages and salaries (average wage costs).
The table setting out the trends since 1995 of these three indicators in Luxembourg
shows that, in real terms, disposable income is increasing faster than wage
costs, but less rapidly than gross national income per habitant. Even if these
three indicators are not directly comparable, there is every reason to believe
that during the period under consideration (1995- 2000), the living standards
of residents have risen by approximately 10 %.
Deflated income per household,wage costs, Gross National Product per inhabitant
(1995=100.00)
| |
Disposable income per household |
Average wage cost |
Gross national product per inhabitant |
| 1995 |
100.00 |
100.00 |
100.00 |
| 1996 |
101.22 |
100.54 |
102.31 |
| 1997 |
103.14 |
101.48 |
105.80 |
| 1998 |
104.45 |
102.20 |
110.89 |
| 1999 |
106.66 |
104.64 |
114.78 |
| 2000 |
109.33 |
106.23 |
113.96 |
| Source: STATEC, EUROSTAT |

Consumer spending and household
equipment
The fact that residents of Luxembourg benefit from a standard of living which
is well above that of the other countries of the European Union seems to be
confirmed by figures relating to consumer spending by households, where the
lead exceeds even that observed for income.The average annual expenditure by
Luxembourg households, expressed in PPS, would be some 45 000, and that of the
next country around 27 000. It must be said that these figures come from surveys
on budgets of households which were carried out before 1999, and where the level
of harmonisation probably has not achieved that of the Community panel on households
used for the statistics on distribution and income. This situation may affect
comparisons between countries. So it may appear surprising that, if we leave
out Luxembourg, the range of consumer spending is much narrower than that of
income.
Average annual spending per household by socio-economic status of the reference
person in 1999
| |
Manual worker |
Other worker |
Self-employed |
Pensioner |
Other out of the labour force |
Unemployed |
Total |
| |
In
thousands of euro* |
| Belgium |
27.0 |
32.9 |
36.0 |
20.4 |
21.6 |
14.3 |
27.4 |
| Denmark |
24.5 |
29.5 |
34.4 |
16.5 |
14.0 |
16.2 |
23.4 |
| Germany |
26.2 |
: |
32.3 |
: |
14.3 |
15.9 |
23.5 |
| Greece |
22.8 |
32.7 |
26.9 |
17.8 |
16.4 |
18.5 |
23.4 |
| Spain |
19.9 |
27.6 |
21.4 |
15.4 |
12.2 |
16.8 |
20.0 |
| France |
22.4 |
27.5 |
29.8 |
17.7 |
13.3 |
15.4 |
22.3 |
| Ireland |
: |
: |
: |
: |
: |
: |
22.2 |
| Italy |
32.1 |
: |
34.0 |
22.7 |
19.2 |
21.3 |
27.2 |
| Luxembourg |
38.7 |
59.0 |
58.4 |
40.4 |
31.6 |
30.6 |
45.2 |
| Netherlands |
27.5 |
31.1 |
30.5 |
21.7 |
16.8 |
15.7 |
25.7 |
| Austria |
28.0 |
31.3 |
33.5 |
20.3 |
21.6 |
22.8 |
26.5 |
| Portugal |
15.9 |
27.3 |
15.0 |
9.9 |
11.9 |
14.9 |
16.3 |
| Finland |
20.1 |
23.2 |
24.7 |
12.3 |
11.3 |
11.8 |
18.2 |
| Sweden |
20.6 |
25.0 |
34.2 |
18.0 |
16.4 |
15.7 |
21.7 |
| United Kingdom |
28.0 |
36.1 |
38.6 |
18.9 |
17.5 |
16.7 |
27.6 |
Source: EUROSTAT
* amounts corrected by purchasing power parities, thus eliminating divergencies
in price level |
Likewise, the differences between blue and white collar as shown in the EUROSTAT
table must be examined, taking account of these methodological reserves. With
a discrepancy of +52.0 %, Luxembourg is in the company of countries known for
being the most inegalitarian, i.e. Greece (+48.6 %), Portugal (71.1 %) and Spain
(38.7 %).This difference slightly exceeds the 20 % in Belgium, Denmark, France
and Sweden. It is much less pronounced in the Netherlands (+13.1 %) and in Austria
(+11.8 %).
Besides consumer spending, the levels of equipment of households with consumer
goods are often believed to give indications about the standard of living. So
we can see that the percentage of households with at least one car rose from
55.1 % in 1970 to 78.8 % in 2001. The best indicator to judge the progress made
or to highlight differences between socio-economic categories relates to possession
of a dishwasher. While two-thirds of today’s households have one, fewer than
5 % had one 30 years earlier.
Levels of equipment of households with consumer durables in Luxembourg (in %)
| |
1970 |
2001 |
| Washing machine |
78.7 |
93.3 |
| Fridge |
85.6 |
97.7 |
| Dishwasher |
4.3 |
65.0 |
| Car |
55.1 |
78.7 |
| Source: STATEC |
The trend in consumption structure is another aspect of changes in living
standards and conditions. We can use the weighting of the main consumer functions
in the retail price index to measure the changes in the structure. These statistics
should be treated with caution. The weighting only considers current spending,
excluding in particular the “housing, heating and lighting” category interest
on loans for the purchase of real estate. Rent was only introduced into the
weighting in 1987. Nevertheless, the associated graph enables the reader to
notice three fundamental changes:
- the share of food and drink in total consumption fell from nearly half
in 1965 (47.5 %) to 36.3 % in 1984 and to 19.7 % in 2002;
- on the other hand, the share of transport and communications in the weighting
has practically tripled, rising from 6.7 % in 1965, to 13.1 % in 1984 and
to 18.8 % in 2002;
- another item in the consumption structure has expanded considerably: that
of “leisure entertainment, education and culture”, which rose from 6 % in
1965 and in 1984 to 10.8 % in 2002;
- and finally among other goods and services,we should mention spending in
hotels, restaurants and cafés, where the proportion rose from 5 % to total
consumption in 1990 to 7.1 % in 2002.

Human development
Index
The idea underlying the creation of a human development index (HDI) by the
United Nations is that monetary income cannot be the only criteria to assess
living standards and welfare achieved in a particular country. Besides gross
domestic product (GDP) per inhabitant which, for reasons set out above, tends
to overestimate the economic success of Luxembourg, two other statistics are
introduced. One of them, life expectancy at birth, should provide indications
on the health situation and the progress made in the field of health care. The
other, mean years of schooling, which takes account of various levels of education,
is used to measure the cultural level.The methodological indications concerning
the production of this indicator shown in the appendix to the relevant report
are not very clear. It seems, however, that the method of calculation leads
the UN to underestimate the level of schooling (education enrolment ratio) in
Luxembourg.
Human Development Index (2002)
HDI
Rank- ing |
Country |
Life
expec- tancy (years) |
Adult
literacy (% 15 years old upwards) |
Gross enrolment ratio (non rate) |
PIB per capita (in PPP US$) |
Life expec- tancy index |
Education index |
GDP index |
Human Develop- ment Index (HDI) |
GDP per capita rank minus HDI rank |
| 1 |
Norway |
78.5 |
... |
97 |
29 918 |
0.89 |
0.98 |
0.95 |
0.942 |
2 |
| 2 |
Sweden |
79.7 |
... |
101 |
24 277 |
0.91 |
0.99 |
0.92 |
0.941 |
15 |
| 3 |
Canada |
78.8 |
... |
97 |
27 840 |
0.90 |
0.98 |
0.94 |
0.940 |
4 |
| 4 |
Belgium |
78.4 |
... |
109 |
27 178 |
0.89 |
0.99 |
0.94 |
0.939 |
5 |
| 5 |
Australia |
78.9 |
... |
116 |
25 693 |
0.90 |
0.99 |
0.93 |
0.939 |
7 |
| 6 |
United States |
77.0 |
... |
95 |
34 142 |
0.87 |
0.98 |
0.97 |
0.939 |
-4 |
| 7 |
Iceland |
79.2 |
... |
89 |
29 581 |
0.90 |
0.96 |
0.95 |
0.936 |
-2 |
| 8 |
Netherlands |
78.1 |
... |
102 |
25 657 |
0.89 |
0.99 |
0.93 |
0.935 |
5 |
| 9 |
Japan |
81.0 |
... |
82 |
26 755 |
0.93 |
0.93 |
0.93 |
0.933 |
2 |
| 10 |
Finland |
77.6 |
... |
103 |
24 996 |
0.88 |
0.99 |
0.92 |
0.930 |
6 |
| 11 |
Switzerland |
78.9 |
... |
84 |
28 769 |
0.90 |
0.94 |
0.94 |
0.928 |
-5 |
| 12 |
France |
78.6 |
... |
94 |
24 223 |
0.89 |
0.97 |
0.92 |
0.928 |
6 |
| 13 |
United Kingdom |
77.7 |
... |
106 |
23 509 |
0.88 |
0.99 |
0.91 |
0.928 |
7 |
| 14 |
Denmark |
76.2 |
... |
97 |
27 627 |
0.85 |
0.98 |
0.94 |
0.926 |
-6 |
| 15 |
Austria |
78.1 |
... |
90 |
26 765 |
0.89 |
0.96 |
0.93 |
0.926 |
-5 |
| 16 |
Luxembourg |
77.4 |
... |
72 |
50 061 |
0.87 |
0.90 |
1.00 |
0.925 |
-15 |
| 17 |
Germany |
77.7 |
... |
94 |
25 103 |
0.88 |
0.97 |
0.92 |
0.925 |
-2 |
| 18 |
Ireland |
76.6 |
... |
91 |
29 866 |
0.86 |
0.96 |
0.95 |
0.925 |
-14 |
| 19 |
New Zealand |
77.6 |
... |
99 |
20 070 |
0.88 |
0.99 |
0.88 |
0.917 |
5 |
| 20 |
Italy |
78.5 |
98.4 |
84 |
23 626 |
0.89 |
0.94 |
0.91 |
0.913 |
-1 |
| 21 |
Spain |
78.5 |
97.6 |
95 |
19 472 |
0.89 |
0.97 |
0.88 |
0.913 |
4 |
| 22 |
Israel |
78.7 |
94.6 |
83 |
20 131 |
0.90 |
0.91 |
0.89 |
0.896 |
1 |
| 23 |
Hong Kong |
79.5 |
93.5 |
63 |
25 153 |
0.91 |
0.83 |
0.92 |
0.888 |
-9 |
| 24 |
Greece |
78.2 |
97.2 |
81 |
16 501 |
0.89 |
0.92 |
0.85 |
0.885 |
10 |
| 25 |
Singapore |
77.6 |
92.3 |
75 |
23 356 |
0.88 |
0.87 |
0.91 |
0.885 |
-4 |
| 26 |
Cyprus |
78.0 |
97.1 |
68 |
20 824 |
0.88 |
0.88 |
0.89 |
0.883 |
-4 |
| 27 |
Korea, Rep. |
74.9 |
97.8 |
90 |
17 380 |
0.83 |
0.95 |
0.86 |
0.882 |
1 |
| 28 |
Portugal |
75.7 |
92.2 |
96 |
17 290 |
0.84 |
0.94 |
0.86 |
0.880 |
2 |
| 29 |
Slovenia |
75.5 |
99.6 |
83 |
17 367 |
0.84 |
0.94 |
0.86 |
0.879 |
0 |
| 30 |
Malta |
78.0 |
92 |
80 |
17 273 |
0.88 |
0.88 |
0.86 |
0.875 |
1 |
| Source: UNO (2002) |
The low level of the education index brings Luxembourg down from the first
place that it would have as a result of its economic performance to 16th place.
But it should also be noted that the life expectancy at birth indicator puts
the country in an average position. HDI Country Life expectancy Adult literacy
Combined primary, PIB per capita Ranking at birth rate secondary and tertiary
(in PPP US$)

Education
Even if the classification of the country according to the HDI sometimes produces
surprising results, and it is certainly not immune from criticism, the results
obtained by Luxembourg should provide food for thought.
It is true that the overall level of education used in the HDI does not take
account of attendance at education establishments abroad, but its relatively
low level is probably the reflection of certain specific features of Luxembourg.
The massive presence of immigrants who have not come to Luxembourg to study
but to work,and therefore having low levels of education,drags the national
level downward.We may also wonder whether the absence of complete university
courses in the country does not act against Luxembourg, as the relatively high
cost of university education abroad may have a deterrent effect for a certain
number of residents.
Schooling rates in Luxembourg in the 15-19 year-old and 20-24 year-old age brackets
in 2001 (in %)
Age bracket |
Total |
Nationals |
Foreigners |
| 15-19 year |
82.1 |
85.2 |
77.0 |
| 20-24 year |
35.0 |
42.5 |
24.6 |
| Source: STATEC |
Figures taken from the general census of the population in 2001 show two things
clearly. Firstly, the schooling rate of 20- to 24-year-olds (35.0 %) is much
lower than that of 15- to 19-year-olds (82.1 %). If we consider that between
20 and 24 years of age, the great majority of people who are still in education
are attending higher education establishments, we can conclude that in Luxembourg,
this proportion is only approximately 30 % in the age group under consideration.
Concerning differences in schooling between Luxembourg nationals and foreigners,
we observe that while among 15- to 19-year-olds, the discrepancy is still quite
low with rates of 85.2 % and 77.0 % respectively. This widens greatly in the
next 5-year age bracket. The rate in question is only 24.6 % for foreigners
while it reaches 42.5 % for Luxembourg nationals.
Education is one of the fields in Luxembourg where improvement is possible
and necessary.This is also clear from the comparative table concerning the percentage
of the population who have completed at least the second cycle of secondary
education, per age group, in 2000. In the 25- to 29-year-old age bracket, only
70 % of the Luxembourg population completed the second cycle of secondary education.
Only three other countries came behind Luxembourg: Ireland, Spain and Portugal.
By comparing these results with those of the age range from 50 to 64, which
reflect the operation of the school system 30 to 35 years ago, we also note
that progress in this area is less significant in Luxembourg than in many European
countries.
In 2000, the proportion of young people leaving school prematurely and not
continuing their education or any training (proportion of young people aged
18 to 24 who attended only the first cycle of secondary education) was 17 %
in Luxembourg.With this rate Luxembourg is doing better than the average for
Europe of 15 (20 % of young people leaving school prematurely), but less well
than its neighbours (12 % in Belgium, 15 % in Germany and 13 % in France). The
results of the Nordic countries are also better than those of Luxembourg (12
% of young people leaving school early in Denmark and 8 % in Sweden).
Finally, we cannot remain silent about the mediocre results achieved by Luxembourg
in the PISA survey (Programme for International Student Assessment) of the OECD
conducted in 2000. In each of the three fields evaluated (reading,mathematics
and sciences), the study did not so much concern the verification of knowledge
laid down in the curriculum as the ability to apply that knowledge. Luxembourg
can only claim very poor results compared with other OECD countries. In the
three fields evaluated, Luxembourg came in 29th place among 31 countries that
took part in the study. In reading, Finland, Canada and New Zealand came top
of the list. Among EU countries, Luxembourg came last, with Germany coming in
12th place.
It is therefore understandable that the government considers education one
of its priority areas of action.

Indicators
of sustainable development
In accordance with the decisions taken by the first United Nations conference
on the Environment and Development, Luxembourg drew up a national action plan
for sustainable development (NPSD) aimed at achieving a number of objectives
in fields such as socio-economic equity, social welfare, the economy and protection
of the natural and human environment. The results of the implementation of the
NPSD will be verified using a system of performance indicators that enable progress
to be evaluated. A first list of 27 sustainable development indicators has been
drawn up. It includes nine social indicators, nine economic indicators and nine
environmental indicators. Some of the social and economic indicators, such as
the poverty level or GDP per head, have already been presented, so we shall
limit our remarks to a number of the environmental indicators set out in a brochure
published on this subject by the Environment Ministry in 2002, outlining the
objectives of government policy in this field.
• Encouraging a different kind of mobility
The objective of the strategy “mobilitéit.lu” promoted by the transport ministry
“is to guarantee and manage mobility for all, by limiting the environmental
effects of road transport, without affecting economic growth”. It is a matter
of encouraging “a mobility policy based on curtailing the increase in individual
traffic and accelerated development of supply of public transport with a view
to improving the breakdown between modes of transport (relative share of the
number of journeys carried out by public transport in the total number of journeys
carried out by motorised vehicles during a working day) in favour of public
transport”. According to the Traffic Model Unit, this proportion will rise from
11.1 % in 1997 to 12.3 % in 2002, the objective being to increase it to 25 %
over the medium term (in 2020).
• Reducing emissions of greenhouse gases
Luxembourg has set itself the objective, already set out by Luxembourg within
the context of the Kyoto Protocol in 1997, of reducing emissions of greenhouse
gases by 28 % by 2010 compared with 1990.The six gases responsible for the greenhouse
effect are carbon dioxide (CO2), methane (CH4) nitrous oxide (N2O) and fluorinated
industrial gases (HFC, PFC and SF6). The replacement during the 1990s of blast
furnaces in the Luxembourg steel industry by the electric arc process significantly
reduced the emissions of the gases in question. It appears that in recent years
we have seen a reversal of this trend for which the transport sector is largely
responsible.
• Ensuring sustainable development of the forests
The health of trees is measured using a range of 17 criteria such as the state
of treetops, loss of leaves or the nature of discoloration. Between 1985 and
2000, the percentage of trees considered healthy fell from nearly 80 % to less
than 45 %. Various analyses have shown that this deterioration mainly affects
beech trees.
• Improving energy efficiency and promoting the use of renewable resources
The objective of the National Plan for Sustainable Development (NPSD) is to
reduce the energy intensity, i.e. the gross energy consumption per unit of GDP,
by 20 % between 1993 and 2010. This objective has already been achieved. But
this result is due mainly to growth in GDP which was higher than that of the
gross consumption of energy defined by the total energy needs of the country
(importation and energy produced on national soil). Energy consumption fell
between 1990 and 1995 from the 3.56 MTPE (millions of tonnes petroleum equivalent)
3.32 MTPE. From 1995, onwards the trend was reversed. In 2001, 3.82 MPTE were
consumed in Luxembourg, or an increase of over 15 % compared with 1995. It was
the increase in demand from transport, over 90 % between 1990 and 2000, which
was responsible for this change. On the other hand, demand from industry fell
by 45 % during the same period, due mainly to the fall in coal imports resulting
from the replacement of the cast iron-steel process by the electric-arc process
in the steel industry.
In the energy field, the NPSD also set objectives of covering 45 % of the
consumption of the national electricity grid from national production by 2005
and doubling the share of renewable energy and co-generation by 2010. In 2000,
renewable energy represented 3.9 % of final electricity consumption of the national
grid, of which 80 % came from hydroelectric stations and 16.5 % came from wind
power. The share of co-generation was 5.6 % of this consumption during the same
year. The new gas and steam turbine power station built at Esch-sur-Alzette
should enable targets to be met for co-generation and generate 45 % of consumption
by national production.
• Improving the quality of watercourses
“What is at issue is to protect the quality of water and guarantee the conservation,
or even development, of a balanced ecosystem rich in biological diversity.”The
indicator chosen is the percentage of watercourses with high or excessive biochemical
and organic pollution (summer months). Activity reports by the Ministry of the
Environment show a positive change in the last decade.
• Sustainable land use in Luxembourg
The growth in the population raises the questions of land use, forms of construction
(in which individual houses are currently dominant) and conservation of a balanced
ecosystem.The percentage of the national territory occupied by buildings and
communication routes has increased significantly during the last decade, rising
from 7.47 % (19 136 hectares) in 1990 to 10 % (25 860 hectares) in 1999. These
figures correspond to land use of two hectares per day. The target of the national
plan for sustainable development is to reduce its annual consumption by 50 %
between now and 2010.
The increase in the percentage of land devoted to building has occurred at
the expense of agricultural land, the share of which in national territory fell
from 57.1 % in 1990 to 54.4 % in 1999.The law of 21 May 1999 relating to land
use and the new land use steering plan established new planning instruments,
including regional land use plans, sectoral land use plans and comprehensive
development area maps, which should meet the requirements for an integrated
approach in this field.
During the recent discussion on the prospect of Luxembourg having over 700
000 inhabitants in 2050, the question of excessive urbanisation, with the underlying
idea of “unsustainable” increase in the population density (inhabitants per
square kilometre),was on the agenda.This density rose from approximately 141
inhabitants per square kilometre at the start of the 1980s to 170 inhabitants
per square kilometre in 2001. The concentrations are highest in the centre of
the country, where the capital is located, and in the south.
With regard to development since 1980,we observe a reduction of the density
in the City of Luxembourg, and an increase in the surrounding communes.
A comparison of the population density in Luxembourg taken overall with that
of other European regions provides useful additional detail. In the relevant
graph, we have restricted ourselves to regions located in the vicinity of Luxembourg.
The population density of the country ranges between that of sparsely inhabited
regions, such as the Belgian Province of Luxembourg or Champagne-Ardenne,and
that part of regions where the population is rather dense such as in the Saar,
Hainaut, etc.However, even with 700 000 inhabitants, Luxembourg would not reach
the current figures of the Saar where population density (417 inhabitants per
square kilometre) is still far from that of conurbations such as Ile de France
(912), Düsseldorf (996), Hamburg (2 254), Cologne (758), Brussels (5918), etc.
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