Informal Ministerial Meeting of the EU Accession Countries: Decent Work and Competitiveness Labour dimensions of accession to the European Union Movement of Labour
Note prepared by the ILO for the Informal Ministerial
Meeting of the Ministers of Labour and Social Affairs of the EU accession
countries - 13 June 2002
Introduction
 |
This note examines briefly
the employment and labour dimensions of accession to the European Union
in 13 candidate countries. It reviews the employment and labour implications
of accelerated economic growth and rising real incomes through structural
adjustment and reform, a process of real convergence with EU income and
welfare levels. It also examines the implications of what is termed nominal
convergence or sustained non-inflationary growth within the Maastricht
criteria of countries preparing to join the European Monetary Union (EMU).
The compatibility of real and nominal convergence is discussed. The note
makes an argument for employment and labour as central policy issues in
the process of convergence. For both economic and social reasons, the
level of employment, the productivity of labour and the level of social
welfare represent critical dimensions of the process of convergence. In
particular, competitiveness in accession countries is highly influenced
by the level of labour productivity. Rising levels of labour productivity
require a set of policies that promote stability, cooperation and training,
rather than insecurity and low wages. Policies that combine rights at
work, employment, social protection and social dialogue, that is policies
for decent work, stand a better chance of promoting an environment conducive
to sustained rises in labour productivity. There is a need to re-examine
the importance accorded to employment and labour policies, including as
regards financing of these policies, through either domestic or EU means.
1. Background to enlargement of the
EU membership
The European Union is committed
to enlarging its current membership of 15 countries. A number of countries
are currently in the process of negotiations to be members of the European
Union in the next few years. The principles and conditions of membership
in the EU have been defined at the Copenhagen European Council (1993)
and further detailed in subsequent European Councils (Nice, 2000 and Göteborg
and Laeken in 2001). Future members are required to establish their capacity
to assume the full responsibilities of membership, including adherence
to the aims of political, economic and monetary union. Candidate countries
are required to harmonize their internal laws and regulations with those
of the European Union in all areas covered by the European Union Treaty.
Beyond adherence to the political
aims of the European Union, accession is a means for candidate countries
to converge with European levels of income and standards of living. Average
per capita income in 2000 among the 13 countries was 44.8 per cent of
the EU-15 level, with significant disparities among the candidate countries
(Figure 1). Membership can bring clear advantages in terms of a more stable
institutional environment, reduced transaction costs and greater trade
linkages. This could further foster a conducive environment for investment,
in particular of foreign origin, and contribute to faster economic growth
as well as social development, enabling these countries to rapidly raise
living standards and converge towards EU-15 levels. Employment levels,
working conditions and social protection could stand to gain from rapid
convergence.
Figure 1: GDP per capita
, 2000, (Purchasing parity standards)
(EU-15=100)

Source: EUROSTAT.
At the same time, there are
significant threats that cannot be underestimated. Membership in the European
Union implies joining a trade and economic union. In principle, there
should be free movement of goods, services, capital and persons. In practice
however, discussions are on-going regarding the free movement of workers.
In addition, transition periods of various durations are being considered
for different products in which accession countries have a clear comparative
advantage (for instance, in agriculture or steel). Important negotiations
are under way in these areas the implications of which for employment
and welfare cannot be underestimated.
Accession countries are required
to incorporate into their respective national legislation the EU legislation
(or acquis communautaire) divided into 31 chapters ranging the full span
of economic, social and judiciary regulations. Such legislation includes
the fundamental principles and rights at work defined by the ILO as well
as many other aspects covered by ILO labour standards.
Membership in the EU does
not automatically imply joining the European Monetary Union (EMU). Candidate
countries are expected to follow the same procedure leading to the formation
of the EMU and hence conform to the Maastricht criteria for some time
before. In particular, prior to joining the monetary union, a country
must be able to sustain a high degree of nominal convergence with the
euro area, in particular as regards price stability. A first step will
be for countries to join the exchange rate mechanism (ERM-2) whereby the
European Central Bank and the relevant national central bank jointly adjust
central rates within a central band of fluctuation of -/+ 15 per cent.
A candidate country is expected to have remained within the ERM-2 for
at least two years prior to joining the EMU. Various exchange rate arrangements
are compatible with the ERM-2.
2. Employment and labour implications of real convergence.
One of the defining characteristics
of an economic and monetary union is the strengthening of trade linkages
as both an engine and consequence of integration. Candidate countries
already direct over half of their exports to the EU (51.7 per cent on
average in 2000, with a low of 33.5 per cent for Malta and a high of 76.5
per cent for Estonia) and obtain 55.5 per cent of their imports from the
EU (European Commission, 2001). Closer trade integration has accelerated
as a result of the structural transformation many of these countries underwent
as of 1989, in particular trade and capital liberalization. Negotiations
over accession to the EU have no doubt further accelerated such trends.
First by reducing estimates of risk on future investment as a result of
possible entry into the EU, second by enhancing the attractiveness of
closer trade integration. In particular proximity to the EU market, lower
relative labour costs and a well-educated labour force have been and remain
strong arguments for foreign direct investment.
Labour cost differentials
One reason for closer trade
integration between accession countries and the EU is based on different
relative factor endowments, as seen for instance in the relative labour
costs between the EU and the accession countries. ILO data suggest that
on average labour costs in manufacturing in the accession countries for
the last years of the 1990’s are on average less than 10 per cent of the
highest labour cost country of the EU, namely Germany with a range from
4 to 22 per cent in 1998 (Table 1).
Table 1: Labour cost in
manufacturing (in US$ per hour)
|
|
1995
|
1996
|
1997
|
1998
|
1999
|
2000
|
|
|
|
|
|
|
|
|
|
Czech Republic
|
2.96
|
3.33
|
3.16
|
3.44
|
3.40
|
|
|
Estonia
|
2.00
|
2.38
|
|
|
|
|
|
Germany
|
35.27
|
34.75
|
30.79
|
30.96
|
26.68
|
32.00
|
|
Hungary
|
3.77
|
3.60
|
3.42
|
3.46
|
3.49
|
3.38
|
|
Latvia
|
|
|
2.01
|
|
|
|
|
Lithuania
|
|
1.63
|
|
|
|
|
|
Poland
|
|
2.86
|
2.95
|
3.21
|
3.22
|
|
|
Romania
|
1.21
|
1.25
|
1.06
|
1.30
|
1.16
|
|
|
Slovakia
|
|
2.80
|
2.85
|
3.17
|
2.76
|
|
|
Slovenia
|
6.77
|
6.77
|
6.43
|
6.83
|
|
|
|
Turkey
|
2.99
|
2.94
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Source: ILO Yearbook of Labour Statistics
and IMF International Financial Statistics.
|
It is possible that labour
cost difference will gradually narrow as a result of greater trade integration.
Real wages (total economy) have increased between 1995 and 2000 in 8 out
of 10 countries for which data are available at an average rate of 3.9
per cent per year (Table 2). The pace of real wage increase is likely
to remain sustained, for a variety of reasons, as a result of closer integration
with the EU. The very low initial level of wages, that have fallen further
in the 1990-94 period in many countries, should not be forgotten. It is
impossible to say how long labour cost convergence will take if at all,
save to observe that substantial differences continue to prevail within
the current EU-15, in spite of over 20 years of close integration.
Table 2: Trends in real wages in total
economy (1995=100)
|
|
1995
|
1996
|
1997
|
1998
|
1999
|
2000
|
2001
|
|
Bulgaria
|
100
|
81.10
|
72.10
|
79.44
|
86.69
|
90.47
|
94.36
|
|
Czech Republic
|
100
|
108.09
|
111.99
|
111.50
|
116.47
|
120.06
|
121.82
|
|
Estonia
|
100
|
101.66
|
109.43
|
113.47
|
121.30
|
129.06
|
|
|
Hungary
|
100
|
96.21
|
102.68
|
104.03
|
102.51
|
103.90
|
110.76
|
|
Latvia
|
100
|
95.42
|
101.44
|
109.15
|
116.77
|
122.41
|
|
|
Lithuania
|
100
|
105.30
|
117.65
|
138.18
|
146.00
|
146.38
|
141.28
|
|
Poland
|
100
|
105.88
|
112.95
|
118.94
|
122.12
|
124.93
|
126.80
|
|
Romania
|
100
|
107.59
|
83.47
|
88.39
|
87.71
|
84.15
|
87.93
|
|
Slovakia
|
100
|
108.14
|
111.35
|
114.58
|
111.87
|
108.98
|
111.40
|
|
Slovenia
|
100
|
104.50
|
107.38
|
108.86
|
112.01
|
113.43
|
116.75
|
|
|
|
|
|
|
|
|
|
|
Source: UNECE
|
|
|
|
|
|
|
Labour productivity
The performance of most accession
countries in terms of labour productivity has been remarkable, particularly
since 1995. Table 3 presents indices of labour productivity for 10 countries
for the period 1995-2001. By 2000 labour productivity had increased on
average by 33.3 per cent or an average annual increase of 5.9 per cent.
Estonia, Hungary, Latvia, Poland and Slovakia have performed particularly
well. In terms of levels of labour productivity or value added per person
employed (in manufacturing) it is noteworthy that accession countries
have reached levels ranging from 82 to 28 per cent of the EU-15 average
in 1998, mainly but not only in foreign-investment enterprises (UNECE,
2001). The average annual growth in labour productivity in the sample
countries has generally significantly exceeded the EU average. This clearly
points to a process of catching up in which foreign investment plays a
significant role as a catalyst for the transfer of new technology, production
techniques and managerial know-how.
Table 3: Labour productivity
index in industry (1995=100)
|
|
1995
|
1996
|
1997
|
1998
|
1999
|
2000
|
2001
|
|
Bulgaria
|
100
|
106.36
|
100.09
|
96.01
|
95.95
|
113.61
|
|
|
Czech Republic
|
100
|
102.85
|
107.87
|
111.37
|
111.46
|
120.61
|
|
|
Estonia
|
100
|
107.60
|
130.81
|
138.96
|
142.85
|
156.06
|
167.66
|
|
Hungary
|
100
|
104.29
|
113.96
|
122.55
|
134.14
|
161.17
|
164.95
|
|
Latvia
|
100
|
111.77
|
122.93
|
137.96
|
136.19
|
139.56
|
|
|
Lithuania
|
100
|
109.56
|
113.04
|
123.53
|
111.34
|
119.66
|
|
|
Poland
|
100
|
109.07
|
121.30
|
126.88
|
141.84
|
161.04
|
|
|
Romania
|
100
|
105.27
|
100.18
|
91.15
|
95.23
|
109.95
|
|
|
Slovakia
|
100
|
102.49
|
105.92
|
114.65
|
114.58
|
129.30
|
|
|
Slovenia
|
100
|
102.04
|
107.64
|
112.79
|
114.05
|
121.90
|
|
|
|
|
|
|
|
|
|
|
|
Source: UNECE.
|
A large part of the growth
in labour productivity can be attributed to adjustment and restructuring
as enterprises gradually adapt themselves to modern organization of production
and technology. Countries have therefore experienced both rising levels
of labour productivity and declining employment in manufacturing. Clearly,
the challenge lying ahead is to sustain high growth in output per person
whilst at the same time maintaining or even increasing levels of employment.
The sectoral distribution of employment becomes an important issue here.
Table 4 provides information on the percentage change in manufacturing
employment in recent years. It is noteworthy that the share of employment
in manufacturing remains significant in all countries and is not below
18 per cent save in Turkey. Too rapid a decline in manufacturing employment
is not desirable.
Table 4: Employment in manufacturing
|
|
As % of total
employment
|
Average percentage
change
|
|
|
2000
|
1996-2000
|
|
Bulgaria
|
21.6
|
-5.37
|
1996-99
|
|
Czech Republic
|
27.1
|
-2.07
|
|
|
Estonia
|
22.6
|
-2.80
|
|
|
Hungary
|
24.2
|
2.29
|
|
|
Latvia
|
17.7
|
-0.72
|
|
|
Lithuania
|
17.9
|
-2.57
|
1997-2000
|
|
Poland
|
20.0
|
-1.88
|
|
|
Romania
|
19.1
|
-4.91
|
|
|
Slovakia
|
25.9
|
-2.41
|
|
|
Slovenia
|
31.2
|
-3.00
|
1995-99
|
|
Turkey
|
14.1
|
1.40
|
1995-99
|
|
|
|
|
|
|
Source: Yearbook of Labour Statistics,
ILO.
|
Unit labour costs
The attractiveness of accession
countries to foreign direct investment chiefly from EU-based enterprises
does not lie only in low relative nominal wages per se, but rather lower
unit labour costs. The labour cost of producing one unit is calculated
as a ratio between the nominal wage (a proxy for labour cost paid by the
employer) and labour productivity or output per person employed. Unit
labour costs capture the change in the nominal wage in relation to the
trend in labour productivity. Table 5 presents indices of unit labour
costs in industry for 10 accession countries for the period 1995-2000.
A decline (increase) in unit labour costs indicates an increase (decline)
in the competitiveness of the country in manufacturing. An increase in
unit labour costs can be due to either labour productivity falling behind
nominal wage increases, or conversely wage increments outpacing changes
in labour productivity. Excluding Bulgaria and Romania whose costs have
increase precipitously as a result of high inflation, the remaining 8
countries register a steady rise in unit labour costs of 41 per cent on
average over 1995-2000, or 7.1 per cent per year on average. The basic
reason behind this increase is that nominal wages have risen faster than
productivity growth. This is partly due to the fact that wages started
from a low initial level and a process of catching up in real terms is
taking place. However, a moderate rise in unit labour costs, implying
nominal wage growth approximately in line with labour productivity growth
is essential to maintaining the comparative cost advantage of manufacturing
in accession countries. Only countries with the capacity to achieve this
will maintain their competitiveness and continue to sustain the level
of investment and exports required for a high rate of aggregate economic
growth.
Table 5: Unit labour costs
in industry (1995=100)
|
|
1995
|
1996
|
1997
|
1998
|
1999
|
2000
|
2001
|
|
Bulgaria
|
100
|
188.71
|
2167.62
|
2658.77
|
2807.09
|
2629.44
|
|
|
Czech Republic
|
100
|
114.45
|
122.59
|
130.74
|
139.31
|
137.95
|
|
|
Estonia
|
100
|
116.34
|
114.46
|
123.56
|
132.93
|
134.53
|
|
|
Hungary
|
100
|
116.44
|
129.59
|
140.54
|
145.66
|
139.40
|
155.89
|
|
Latvia
|
100
|
107.64
|
116.15
|
121.13
|
140.31
|
157.64
|
|
|
Lithuania
|
100
|
116.37
|
139.63
|
144.48
|
170.70
|
160.81
|
|
|
Poland
|
100
|
115.80
|
124.97
|
137.30
|
133.86
|
130.75
|
|
|
Romania
|
100
|
150.69
|
316.82
|
540.14
|
744.49
|
913.65
|
|
|
Slovakia
|
100
|
111.91
|
118.34
|
120.07
|
129.62
|
125.37
|
|
|
Slovenia
|
100
|
111.78
|
118.54
|
125.23
|
135.35
|
141.49
|
|
|
|
|
|
|
|
|
|
|
|
Source: UNECE.
|
Structural shifts in employment
Precisely as countries open
to trade and specialize according to relative factor endowments, structural
change in employment is to be expected, with the share in agriculture
falling, the share in industry dropping to around 20 per cent and the
share in services increasing. All candidate countries are in the midst
of this structural transformation, and it is to be expected that accession
and membership in the EU will tend to accelerate this change. Table 6
presents data on the distribution of employment by sectors for the years
1995 and 2000. A word of caution is required as table 6 only registers
formal employment and ignores informal employment that could be significant
in some sectors. Most countries conform to the expected pattern of declining
employment in the primary and secondary sectors compensated by a rising
share in services. However the differences among the countries are perhaps
as striking as the pace of change in each of them. Bulgaria, Poland and
Romania are still characterized by a relatively important agricultural
sector. There is little doubt as to the direction of the overall historical
pattern of change. However, it is the pace of structural transformation
that is the important variable, as changes in the relative shares of employment
need to be congruent with changes in the employment generating capacity
of those sectors that are to absorb labour expelled from the declining
sectors. Too rapid a pace of change might lead to unwarranted levels of
unemployment. Conversely, too slow a pace could retain labour in low productivity
occupations and hence unduly constrain productivity growth.
Table 6: Employment by
sector (1995 and 2000)
|
|
Agriculture
|
Industry
|
Services
|
|
|
|
1995
|
2000
|
1995
|
2000
|
1995
|
2000
|
|
|
Bulgaria
|
24.4
|
26.6
|
32.6
|
29.1
|
43.0
|
44.3
|
1996-99
|
|
Czech Republic
|
6.5
|
4.9
|
41.8
|
39.5
|
51.7
|
55.6
|
|
|
Estonia
|
10.5
|
7.4
|
34
|
33.5
|
55.5
|
59.1
|
|
|
Hungary
|
8.0
|
6.5
|
32.6
|
33.7
|
59.4
|
59.8
|
|
|
Latvia
|
17.4
|
13.5
|
28
|
26.3
|
54.6
|
60.2
|
|
|
Lithuania
|
20.7
|
19.6
|
28.5
|
26.3
|
50.8
|
54.1
|
1997
|
|
Poland
|
22.6
|
18.8
|
32.0
|
30.8
|
45.4
|
50.4
|
|
|
Romania
|
40.3
|
42.8
|
31.0
|
26.2
|
28.7
|
31.0
|
|
|
Slovakia
|
9.2
|
6.7
|
38.9
|
37.4
|
51.9
|
55.9
|
|
|
Slovenia
|
10.4
|
10.8
|
43.1
|
37.8
|
46.5
|
51.4
|
|
|
Turkey
|
47.8
|
45.8
|
20.7
|
20.5
|
31.5
|
33.7
|
|
|
|
|
|
|
|
|
|
|
|
Source: ILO Yearbook of Labour Statistics.
|
Special mention must be made
of the agricultural sector. The potential for raising land and labour
productivity in agriculture in accession countries is likely to be important.
However this must be balanced against its capacity to retain labour or
the capacity of other sectors to absorb labour expelled from agriculture.
Not all labour expelled from agriculture, due to age and skill patterns,
is likely to be easily accommodated in non-agricultural activities. The
potential of rural non-farm activities should in this regard not be overlooked.
An appropriate pace of change,
including at the regional level, will generally require public policy
interventions. There is a clear role for public investment in creating
conditions attractive for a balanced pattern and distribution of private
investment. This will have a positive effect on employment, if employment
lost in one sector or industry can be absorbed in others. The size distribution
of enterprises is another important criteria, and hence the incentives
to small and medium sized enterprises to establish themselves in those
areas and sectors of activity in which more employment needs to be generated.
Skills and training
An important means of sustaining
high labour productivity growth is continuous investment in training and
skills upgrading of the workforce. Education and training are important
dimensions of structural transformation, as a high level of skills represents
an excellent basis for adapting to rapid change. The educational level
(in terms of the average years of schooling) of the labour force in accession
countries is relatively high, even compared to EU levels. This should
provide a sound basis for investment in upgrading the skills of the workforce.
No direct estimates of the level of expenditure in training are available.
Two issues are commonly raised. First, enterprise-based training, whether
on the job or enterprise provided has in many countries simply collapsed
for financial reasons. Second, many of the vocational training institutions
are training in skills or with techniques considered obsolete or in very
low demand. In view of the rapid pace of technological change, possibly
even more rapid in countries in the midst of a catching up process, an
adequate supply of the right kind of skills is fundamental. Enterprises
should be given incentives to invest in the training of their workers.
On the other hand, public institutions should seek to cater to the skills
requirements of a rapidly changing economy, including by providing information
on recent trends in labour demand by type of skills. In particular, special
efforts are undoubtedly required to retrain significant segments of the
labour force that are to change occupations, refresh their learning or
adapt to an entirely new work and technological environment. Clearly training
is an area in which accession countries, as well as the EU could raise
the level of expenditure and programmes.
The labour market implications
of an adequate balance between demand and supply by type of skills are
clear. Bottlenecks are likely to occur in a period of rapid structural
change, thereby affecting the unemployment rate. One dimension of such
bottlenecks is the share of long term unemployed. Close to half of all
unemployed in ten candidate countries have been unemployed for over a
year, both men and women (Table 7). The extent to which long-term unemployment
is a reflection of low aggregate demand, a mismatch between the skills
of the unemployed and the skills demanded by enterprises, or a consequence
of incentives and social benefits that hinder job search are matters that
need to be investigated. In view of the low level of average wages, there
may be a significant degree of overlap between social benefits and the
low-skilled wages reducing job search incentives. In general, the longer
a person of working age and in the labour force stays out of active employment,
the likelier that person faces an obsolescence of his/her skills. A decisive
reduction in long-term unemployment must represent a priority for all
candidate countries.
Table 7: Share of long-term unemployed
in total unemployment (2000)
|
|
Total
|
Male
|
Female
|
|
|
|
|
|
|
Bulgaria
|
53
|
52.9
|
53.1
|
|
Czech Republic
|
50
|
49.1
|
50.7
|
|
Estonia
|
47.3
|
48.2
|
46
|
|
Hungary
|
47.9
|
50.6
|
43.6
|
|
Latvia
|
55.9
|
56.2
|
55.5
|
|
Lithuania
|
52.4
|
55.9
|
47.3
|
|
Poland
|
44.6
|
40.2
|
48.6
|
|
Romania
|
49.2
|
50.2
|
48
|
|
Slovakia
|
54.7
|
54.5
|
54.8
|
|
Slovenia
|
62.7
|
64.9
|
60.3
|
|
|
|
|
|
|
Source: EUROSTAT.
|
This provides a clear signal
of the need to step up training opportunities for persons in unemployment
for over a year. A mix of policies combining training opportunities with
active counselling and information on job opportunities have proven quite
effective in a number of European countries. The experience of some transition
countries shows, however, that the above measures are often not sufficient
and that long-term jobless persons can benefit more from a combination
of temporary employment schemes (public works or subsidized employment)
with on-the-job training, followed by regular job placement assistance.
There is an additional dimension
here. Most candidate countries are witnessing rapid demographic change
with an increase in the average age of the population and of the labour
force, and hence in the relative share of the population aged 65 and more.
The implication for the labour market is two-fold. Special attention must
be given to upgrading the skills of the persons in employment aged 45
years and over, in order not to prematurely astray them from employment
for reasons of skill obsolescence. The experience of more senior workers
is a valuable asset that must be fully used by enterprises. Appropriate
incentives to that effect could be considered. Likewise, the skills of
the younger generation must be tuned to the requirements of the economy.
This calls for constant adaptation of educational and vocational training
programmes.
Aggregate growth and employment
As of 1995, most accession
countries have entered into a cycle of rapid GDP growth. Table 8 presents
indices of GDP growth for all 13 countries for the period 1995-2001. By
2001, only Bulgaria and Romania had not regained or surpassed the level
of GDP of 1995. On average GDP increased by 25.6 per cent for those 11
countries with positive growth, or a solid 4.7 per cent on an average
annual basis. This contrasts with 2.7 per cent per year for the Euro area
as a whole. In principle the 2 percentage points differentials, if it
were sustained over a long enough period of time, would point to a catching
up with the EU. The large gap between GDP per capita levels in accession
countries and the EU (Figure 1) may cast a shadow of doubt. This confirms
an empirical finding of growth theories on convergence, in that the lower
the initial level of real per capita GDP, the higher the predicted growth
(Barro, 1997). However this convergence is only conditional on a set of
characteristics and policies over which there is no agreement.
Table 8: Real GDP growth
(1995=100)
|
|
1995
|
1996
|
1997
|
1998
|
1999
|
2000
|
2001
|
|
|
|
|
|
|
|
|
|
|
Bulgaria
|
100
|
89.9
|
83.5
|
86.5
|
88.6
|
93.7
|
98.3
|
|
Cyprus
|
100
|
102.0
|
104.6
|
109.8
|
114.7
|
123.8
|
128.8
|
|
Czech Republic
|
100
|
104.3
|
103.5
|
102.3
|
101.9
|
104.8
|
108.7
|
|
Estonia
|
100
|
104.0
|
114.8
|
120.6
|
119.8
|
128.1
|
135.1
|
|
Hungary
|
100
|
101.3
|
106.0
|
111.1
|
115.8
|
121.8
|
126.4
|
|
Latvia
|
100
|
103.3
|
112.2
|
116.6
|
117.9
|
125.9
|
134.7
|
|
Lithuania
|
100
|
104.7
|
112.3
|
118.1
|
113.5
|
117.9
|
124.6
|
|
Malta
|
100
|
104.0
|
109.0
|
112.4
|
117.8
|
122.8
|
|
|
Poland
|
100
|
106.0
|
113.3
|
118.8
|
123.6
|
128.5
|
129.9
|
|
Romania
|
100
|
103.9
|
97.7
|
93.0
|
90.8
|
92.3
|
96.8
|
|
Slovakia
|
100
|
106.2
|
112.8
|
117.4
|
119.6
|
122.3
|
126.2
|
|
Slovenia
|
100
|
103.5
|
108.3
|
112.4
|
118.2
|
123.7
|
127.4
|
|
Turkey
|
100
|
107.4
|
115.5
|
119.2
|
113.2
|
121.7
|
114.2
|
|
|
|
|
|
|
|
|
|
|
Euro area
|
100
|
…
|
…
|
106.4
|
109
|
112.7
|
114.4
|
|
|
|
|
|
|
|
|
|
|
Source: UNECE and IMF.
|
It is generally believed
that rapid growth requires some combination of rapid physical and human
capital accumulation, appropriate incentives for research and development,
investment in infrastructure, a regulatory framework whether for private
property, financial systems or labour utilisation and an acceptable distribution
of national income. Policies would need to be based on the characteristics
of each country and seek to promote an environment conducive for the above
elements to initiate and sustain a process of rapid growth. One lesson
that can be derived from recent experience is that countries cannot expect
for high growth to set in simply through low tariff barriers and invitations
to foreign capital to invest in recently privatised assets. Economic growth
requires a range of active economic and social policies.
One critical dimension is
the employment effect of growth. Table 9 presents data on trends in total
employment in 12 countries. Only two countries (Hungary and Slovenia)
display employment levels for both men and women in 1999-2000 above those
in 1995 (excluding Turkey from this count given the deep economic crisis
that started in 1999). An additional three countries show some increase
in female employment over 1995. Looking at simple averages for all countries,
employment has neither decreased nor increased. One can readily observe
that the positive economic growth rates have not (yet) translated into
positive employment growth in most countries. This can be explained as
seen above with regard to structural and industrial restructuring and
adaptation to a market economy. In order for accession countries to adequately
redistribute the benefits of growth, a pattern in which both real wages
and employment can grow in parallel will be required. This is required
for unemployment rates to fall, and for a wider participation in the benefits
of growth. One clear implication is that more attention needs to be paid
to the pattern of growth in order to render it more employment intensive.
This calls for a better integration of economic, employment and labour
policies.
Table 9: Total employment
(1995=100)
|
|
|
|
1995
|
1996
|
1997
|
1998
|
1999
|
2000
|
|
|
|
|
|
|
|
|
|
|
|
Bulgaria
|
Official estimates
|
Total
|
100
|
100.1
|
96.2
|
96.0
|
93.6
|
|
|
Czech Republic
|
LFS
|
Male
|
100
|
99.9
|
99.2
|
98.0
|
95.8
|
95.7
|
|
|
|
Female
|
100
|
99.4
|
97.9
|
96.1
|
94.8
|
94.4
|
|
Estonia
|
LFS
|
Male
|
100
|
98.0
|
99.0
|
96.6
|
92.3
|
91.7
|
|
|
|
Female
|
100
|
98.9
|
98.6
|
98.6
|
95.0
|
93.9
|
|
Hungary
|
LFS
|
Male
|
100
|
99.4
|
99.7
|
99.6
|
102.6
|
103.6
|
|
|
|
Female
|
100
|
98.9
|
98.4
|
101.6
|
104.9
|
106.0
|
|
Latvia
|
LFS
|
Male
|
100
|
98.0
|
102.3
|
103.6
|
100.0
|
95.5
|
|
|
|
Female
|
100
|
100.6
|
106.6
|
103.5
|
103.6
|
103.7
|
|
Lithuania
|
LFS
|
Total
|
100
|
99.3
|
96.2
|
97.9
|
97.9
|
93.0
|
|
Malta
|
Administrative records
|
Male
|
100
|
100.1
|
99.9
|
99.7
|
99.5
|
|
|
|
|
Female
|
100
|
103.4
|
105.7
|
107.9
|
110.9
|
|
|
Poland
|
LFS
|
Male
|
100
|
101.5
|
103.7
|
104.6
|
100.5
|
98.9
|
|
|
|
Female
|
100
|
100.9
|
101.3
|
102.8
|
98.9
|
97.4
|
|
Romania
|
LFS
|
Male
|
100
|
99.2
|
99.6
|
97.7
|
96.2
|
95.8
|
|
|
|
Female
|
100
|
96.7
|
98.4
|
96.8
|
97.1
|
97.4
|
|
Slovakia
|
LFS
|
Male
|
100
|
103.5
|
102.0
|
101.4
|
97.5
|
95.3
|
|
|
|
Female
|
100
|
103.9
|
103.7
|
103.6
|
101.6
|
101.1
|
|
Slovenia
|
LFS
|
Male
|
100
|
98.9
|
101.9
|
103.0
|
101.9
|
|
|
|
|
Female
|
100
|
100.2
|
101.7
|
102.7
|
100.2
|
|
|
Turkey
|
LFS
|
Male
|
100
|
101.8
|
102.6
|
104.0
|
101.2
|
|
|
|
|
Female
|
100
|
99.4
|
84.0
|
98.2
|
106.1
|
|
Source: ILO Yearbook of Labour Statistics.
Table 10 shows that unemployment rates between
1995 and 1999-2000 have fallen in some countries but have increased in
others. It is noteworthy that unemployment has increased in the more recent
period as of 1998 following an initial decline between 1995 and 1997.
Table 10: Unemployment
rates as measured by labour force surveys (in percentages)
|
|
1995
|
1996
|
1997
|
1998
|
1999
|
2000
|
|
|
|
|
|
|
|
|
|
Bulgaria
|
16.5
|
14.2
|
14.4
|
14.1
|
15.7
|
16.4
|
|
Czech Republic
|
3.7
|
4.1
|
5.4
|
7.3
|
9.0
|
8.3
|
|
Cyprus
|
2.6
|
3.1
|
3.4
|
3.3
|
3.7
|
|
|
Estonia
|
9.7
|
10.0
|
9.7
|
9.9
|
12.3
|
13.7
|
|
Hungary
|
10.2
|
9.9
|
8.7
|
7.8
|
7.0
|
6.4
|
|
Latvia
|
18.9
|
18.3
|
14.4
|
13.8
|
14.5
|
14.6
|
|
Lithuania
|
17.1
|
16.4
|
14.1
|
13.3
|
14.1
|
15.4
|
|
Malta
|
3.7
|
4.4
|
5.0
|
5.1
|
5.3
|
|
|
Poland
|
13.3
|
12.3
|
11.2
|
10.5
|
13.9
|
16.1
|
|
Romania
|
8.0
|
6.7
|
6.0
|
6.3
|
6.8
|
7.1
|
|
Slovakia
|
13.1
|
11.3
|
11.8
|
12.5
|
16.2
|
18.6
|
|
Slovenia
|
7.4
|
7.3
|
7.1
|
7.7
|
7.4
|
|
|
Turkey
|
6.6
|
5.8
|
6.9
|
6.2
|
7.3
|
|
Note: Age periods may differ. Registered
unemployment is recorded for Malta.
Source: Yearbook of Labour Statistics, ILO.
3. Employment and labour dimensions
of nominal convergence
Nominal convergence between
candidate countries and the EU refers to a period during which countries
meet the nominal Maastricht criteria and gradually qualify for entry into
the European monetary union. As such nominal convergence is only indirectly
linked to membership in the EU, as it is expected that new member countries
will eventually join the EMU. The central elements in nominal convergence
and the gradual fulfilment of the Maastricht criteria are price stability
and a low level of inflation. The key question posed by nominal convergence
is whether a rate of growth of GDP sufficiently high to absorb available
labour force is compatible with low and stable inflation.
Inflation has dropped significantly
in most accession countries over the last 5 years. In 2001 seven countries
had annual rates of consumer price inflation below 6 per cent per year,
and four between 6 and 10 per cent. Only Romania and Turkey experienced
double-digit inflation (Table 11). Excluding these two countries, the
average increase in consumer prices in 2001 was 5.3 per cent, or slightly
more than double the rate experienced in the EU. It is a debated issue
whether underlying inflation is currently on a sustainable path in accession
countries. In a high inflation environment, above 20 per cent per year
for instance, wage policy would seek primarily to maintain the purchasing
power of the wage. This is what is observed in Romania. In a low inflation
environment, basically at a one-digit rate of inflation, real wage increases
will seek to match labour productivity increases in the most dynamic sectors,
usually manufacturing. Such wage increases will inevitably spread to the
rest of the economy, thereby raising underlying wage inflation.
Table 11: Average annual
percentage change in consumer prices
|
|
1999
|
2000
|
2001
|
|
Bulgaria
|
2.6
|
10.2
|
7.3
|
|
Cyprus
|
1.6
|
4.2
|
2.0
|
|
Czech Republic
|
2.1
|
3.9
|
4.7
|
|
Estonia
|
3.5
|
3.9
|
5.8
|
|
Hungary
|
10.1
|
9.9
|
9.2
|
|
Latvia
|
2.4
|
2.8
|
2.4
|
|
Lithuania
|
0.8
|
1.0
|
1.5
|
|
Malta
|
2.1
|
2.4
|
4.1
|
|
Poland
|
7.4
|
10.2
|
5.5
|
|
Romania
|
45.9
|
45.7
|
34.5
|
|
Slovakia
|
10.5
|
12.0
|
7.3
|
|
Slovenia
|
6.3
|
9.0
|
8.6
|
|
Turkey
|
64.9
|
54.9
|
54.4
|
|
|
|
|
|
|
Euro area
|
| |