Employment and Social Developments in Europe (ESDE) 2023

Chapter 2 - Structural drivers of labour shortages in the context of changing skills needs
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Structural drivers of labour shortages in the context of changing skills needs

2. Labour shortages, including skills shortages, in the EU

There is no universally agreed methodology on how to measure labour shortages in the EU. One of the most common approaches is to use the BCS, which collects quarterly survey data from employers in the industry, manufacturing and services sectors, asking whether labour is a major factor limiting their production. (107) Often, job vacancy rates are used as an alternative measure to identify demand for labour, as they cover more sectors, albeit with less sectoral disaggregation and with a bigger time lag. The European Labour Authority (ELA) also collects information from the public employment services (PES) on labour shortages and surpluses, by occupation and Member State. However, that information is more qualitative than quantitative, and the time series is short. This section combines all three approaches to map the sectors and occupations with persistent labour shortages in the EU – referred to as ‘labour shortage sectors’ and ‘labour shortage occupations’, respectively. The available approaches, however, do not provide a single reliable estimate of the size of labour shortages, i.e. the number of vacancies that cannot be filled due to labour shortages.

Skills shortages are often approximated by the share of employers reporting difficulties in finding employees with the right skills. Firms’ recruitment difficulties may be driven by various factors. These can include the lack of skills among job applicants, (108) but also poor recruitment, retention (109) and HRM practices, (110) high replacement demand due to retirement, the need to fill new jobs created as a result of the green and digital transitions, or companies unwilling or unable to offer competitive wages and working conditions (see section 7.). Recruitment also varies over the business cycle, as employers tend to be more selective (e.g. raising skills requirements in their vacancies) when the pool of unemployed people is larger. (111) (112) Exploratory research based on employer interviews suggests that employers are often unable to define and measure the specific skills they are looking for when recruiting. (113)

Analysis of European Company Survey (ECS) 2019 data (114) shows that the lack of skills among job applicants is not the main reason for companies’ overall difficulties in finding people with the right skills. Rather, the likelihood of experiencing recruitment difficulties is strongly driven by the inability to retain workers, (115) with its impact being 10 times larger than that of skills requirements (at 14.2 pp and 3.4 pp, respectively) (Table 2.1). (116) (117) There is also an institutional dimension to firms’ recruitment difficulties, with the presence of a recognised body of employee representation associated with a reduced chance of experiencing difficulties in recruiting workers. Recruitment difficulties are less likely in larger firms, which are better able to recruit from a larger available talent pool (both externally and internally), as well as more likely to have an employee representation body. (118) To shed more light on the skills demanded in occupations facing persistent labour shortages in the EU, this section analyses skills needs based on the European Centre for the Development of Vocational Training (Cedefop) European skills and jobs survey (ESJS2) 2021 data. (119)

Table 2.1
Companies’ difficulties in finding people with the right skills are strongly driven by the inability to retain workers

Marginal effects of selected variables on the likelihood of experiencing difficulties in finding employees with the required skills (pp)

Recruitment difficulties for required skills
Few Some Many
Difficulties in retaining employees -13.7 -0.6 14.2
Workers in jobs offering continuous training (%) -1.1 -0.04 1.1
Workers in jobs in which there is no need to learn new skills (%) 1.3 0.06 -1.4
Importance of training for organisational goals (index) -3.3 0.1 3.4
Level of employee motivation 2.3 0.01 -2.4

Note: Estimated percentage change in the likelihood of reporting difficulties in finding employees with the required skills.

Source: European Foundation for the Improvement of Living and Working Conditions (Eurofound) and Cedefop ECS 2019.

2.1. Identifying persistent labour shortages and their skills needs

The first approach uses BCS data and identifies persistent labour shortages in construction, manufacturing, information and communication technology (ICT), transportation and storage, professional, scientific and technical activities, and administrative and support services. In order to identify subsectors with persistent labour shortages by country over time, several methodological assumptions (120) were made about the length of time series, the threshold at which labour shortages were considered severe, the threshold for considering severe labour shortages persistent, and the criteria for identifying subsectors with persistent labour shortages at EU level. (121) Table 2.2 presents the full list of subsectors (NACE (122) 2-digit level and the corresponding NACE 1 level) identified as facing persistent labour shortages across the EU over the last 10 years (2012-2021). (123)

Table 2.2
Persistent labour shortages are most common in the manufacturing and construction sectors

Subsectors in persistent labour shortage, 2012-2022

Subsector, NACE 2-digit level

Number of Member States facing substantial labour shortages in a given subsector

Employment in subsector (number of people in million, % of total employment) 2021

Change  in employment since 2012

43 Specialised construction activities

19

7.5 (4%)

0.4

62 Computer programming, consultancy and related activities

17

4 (2%)

79%

41 Construction of buildings

17

3.9 (2%)

-2%

33 Repair and installation of machinery and equipment

16

1.1 (0.6%)

16%

49 Land transport and transport via pipelines

15

5.4(2.9%)

7%

25 Manufacture of fabricated metal products, except machinery and equipment

14

3.4 (1.8%)

2%

31 Manufacture of furniture

13

1.1(0.6%)

3%

13 Manufacture of textiles

13

0.6 (0.3%)

-8%

81 Services to buildings and landscape activities

13

3.4 (1.8%)

10%

71 Architectural and engineering activities; technical testing and analysis

12

2.8 (1.5%)

24%

30 Manufacture of other transport equipment

12

0.8 (0.4%)

4%

42 Civil engineering

11

1.3(0.7%)

-7%

80 Security and investigation activities

11

1.1 (0.6%)

3%

86 Human health activities

-

12.1 (6.4%)

11%

87 Residential care activities

-

3.9(2%)

6%

88 Social work activities without accomodation

-

5 (2.6%)

30%

Note: Analysis and selection based on BCS, except for subsectors 86, 87, 88, which use job vacancy rate at NACE 1-digit level.

The second approach uses Eurostat job vacancy rates and identifies persistent labour shortages in human health and social work activities. This sheds light on the labour demand in some sectors that are additional to the ones identified by the BCS such as human health and social work. Since 2012, overall vacancy rates (124) are high and increasing in arts and entertainment, administrative and support services, construction, information and communication, professional, scientific and technical activities, accommodation and food services, and transport and storage (Chart 2.1). The vacancy data support the findings of the BCS and also show increasing shortages in human health and social work. A sharp decrease in overall rates was observed in 2020 due to the COVID-19 outbreak, with the exception of healthcare. From 2021, the rates increased and reached historical highs for all sectors except mining and quarrying. Looking at the latest quarterly data at the end of 2022, the overall vacancy rates slightly decreased but remained historically high, at 2.8% (Chapter 1). A significant drawback of this measure is that it does not distinguish whether high job vacancy rates in a sector are driven by high turnover or by labour shortages.

Total employment in the subsectors experiencing persistent labour shortages has increased by 11% since 2012, according to the EU-LFS (Table 2.2). The share of vacant posts in the sectors is increasing (Chart 2.1), indicating greater labour demand. Total employment is also high, due to the expansion of these economic sectors. The highest employment increases are recorded in computer programming (+79%), architectural and engineering activities (+24%), and social work activities (+30%) (Table 2.3). In 2021, approximately one-third of employed people, including the self-employed, were working in shortage subsectors. Increasing employment, coupled with reported shortages and vacancies in the specific group of sectors, provides evidence for persistent shortages over time.

Chart 2.1
Shortage subsectors despite increasing employment suggests persistent shortages over time

Job vacancy rate (%), NACE 1-digit level, annual (%), 2012-2022, EU-27

Shortage subsectors despite increasing employment suggests persistent shortages over time

Note: Vacancy rate data for NACE Rev. 2, 1-digit level; data shown for NACE Rev. 2 sectors, which experience levels higher than the average; data missing for: agriculture, forestry and fishing; water supply; public administration and defence; compulsory social security; data for human health and social work activities, and arts, entertainment and recreation are only available and shown for 20 countries in the euro area (2023).

Source: Eurostat (online data code: jvs_a_rate_r2).

The third approach lays the foundation for the analysis of structural drivers of persistent labour shortages at occupational level. It identifies persistent labour shortages for health, ICT professionals, personal services, sales, personal care, building and related trades, metal, machinery and related trades, and electrical and electronic trades workers, as well as drivers and mobile plant operators, and cleaners and helpers (Table 2.3). The approach is based on the occupation classifications developed by the International Labour Organization (ILO) and data collected by EURES national coordinating offices in the Member States. Since 2016, these offices have provided annual data on shortage occupations for European-level reports on labour shortages and surpluses. (125) (126) In order to identify labour shortage occupations at International Standard Classification of Occupations (ISCO) 3-digit level (127) in the EU over time, certain assumptions were made and two criteria created. (128) However, shortage occupations at 3-digit level might include some occupations at 4-digit level without persistent labour shortages. At the same time, the selection criteria mean that some occupations with persistent labour shortages at 4-digit level might be excluded from a shortage occupation group when aggregated to 3-digit level. (129)

Table 2.3
Persistent labour shortages in various types of occupations

Occupations in persistent labour shortage, ISCO-08, 2016-2021

ISCO 3-digit code Description of occupation Employment in 2021(number of people in million, % of total employment) Change in employment since 2012

221

Medical doctors

1.9 (1%)

16%

222

Nursing and midwifery professionals

1.6 (0.8%)

22%

251

Software and applications developers and analysts

3.3 (1.7%)

88%

512

Cooks

1.7 (0.8%)

-3%

513

Waiters and bartenders*

1.9 (1%)

-34%

522

Shop salespeople

10.2 (5.3%)

-6%

532

Personal care workers in health services

4.2 (2%)

9%

711

Building frame and related trades workers

4 (2%)

4.50%

712

Building finishers and related trades workers

2.3 (1.2%)

-2%

721

Sheet and structural metal workers, moulders and welders, and related workers

1.7 (0.8%)

-16%

723

Machinery mechanics and repairers

3.6 (1.8%)

19%

741

Electrical equipment installers and repairers 

2.4 (1.2%)

4.60%

833

Heavy truck and bus drivers

3.8 (1.9%)

-1.30%

911

Domestic, hotel, and office cleaners and helpers

6 .1 (3%)

-10.50%

Note: *Professions not in shortage for three years in the analysed period and not in shortage during the 2020-2021 period, probably due to the COVID-19 pandemic. A complete list of 3-digit and 4-digit occupations is available in Table A.1.

Source: (European Commission, 2017), (European Commission, 2020a), (ELA, 2021), (ELA, 2023) and EU-LFS 2012-2021.

The required skills differ across occupations with and without persistent labour shortages. Based on ESJS2 2021 data, labour shortage occupations have a higher frequency of workers requiring manual skills and lower values of literacy, numeracy and digital skills than non-shortage occupations (Chart 2.2). (130) (131) Descriptive analysis shows that the differences between labour shortage and non-labour shortage occupations are less pronounced on social skills, routinisation, and job complexity.

Chart 2.2
Labour shortage occupations require greater manual skills and lower digital skills

Skill demand for labour shortage and non-labour shortage occupations, 2021, EU-27, Norway and Iceland

Labour shortage occupations require greater manual skills and lower digital skills Labour shortage occupations require greater manual skills and lower digital skills Labour shortage occupations require greater manual skills and lower digital skills Labour shortage occupations require greater manual skills and lower digital skills Labour shortage occupations require greater manual skills and lower digital skills Labour shortage occupations require greater manual skills and lower digital skills Labour shortage occupations require greater manual skills and lower digital skills

Labour shortage occupations require greater manual skills and lower digital skills

Note: Plots show the variables k-density (smoothed estimate of the probability density function), which shows the probability of having specific skills (e.g. social, digital, literacy) demand in the context of both shortage and non-shortage occupations (as indicated by red and orange lines). X-axis shows the values of the scales in the respective skill domain, rescaled to a value range from 0 to 1, with 0 representing ‘no skill content’ and 1 ‘very high skill content’ of respondents’ jobs in the respective task domain.

Source: Cedefop ESJS2 2021.

Even when controlling for different characteristics of occupations facing persistent labour shortages, labour shortage occupations are still more likely to be comprised of jobs with lower skill demand (Table A.3). (132) This might explain the relatively low impact of skills in driving firms’ recruitment difficulties. Labour shortage occupations are more likely to experience skills gaps. Once other factors are taken into account, employees in labour shortage occupations perform routine tasks less frequently and are more likely to exercise greater discretion in organising and planning their work and in learning or adapting to unexpected situations or varying tasks. This suggests that persistent occupational shortages might be an outcome of firms’ human resource practices and their expectations of finding workers with high non-cognitive skills. (133) The findings also suggest that there is scope to further develop the skills of those employees to move towards better job performance.

There are significant differences across broad occupation skill groups in the skills needed (Table A.3). (134) For example, skilled shortage occupations typically rely more on physical rather than cognitive tasks, compared to skilled non-shortage occupations. However, they tend to be characterised by higher upskilling and digital skill needs, higher demand for better-educated workers, and greater job complexity, compared to skilled non-shortage occupations. Semi-skilled and manual shortage occupations are more likely to depend on less routine and more social tasks, compared to the same non-shortage skill groups, with a higher demand for lower-educated workers. In addition, semi-skilled shortage occupations depend more heavily on manual skills, while elementary shortage occupations primarily involve highly routinised tasks. All groups, with the exception of skilled shortage occupations, require a relatively basic or very low digital skill level, implying that a lack of digital skills is not the main driver of many persistent labour shortages.

Box 2.1: Cedefop’s future shortage indicator

To measure likely future labour shortages, the indicator uses expansion demand, replacement demand, and labour market imbalances, drawn from the Cedefop’s Skills Forecast. (1) The indicator ranges from 1 (weak or no shortage) to 4 (strong shortage). (2) The overall future shortage indicator is then constructed by an arithmetic average assuming equal weights. This forecast uses data and assumptions that capture recent policies and phenomena, such as the European Green Deal, COVID-19 impacts, changes in energy and commodity prices, and the ongoing Russian war in Ukraine.

Expansion demand (3) captures the extent to which the overall level of occupational employment by 2035 will grow or contract. It focuses on future demand for employment and can reflect trends in sectoral employment, changes in the occupational structure of employment, and overall trends in the economy. Whether or not that demand materialises will depend on the available supply of labour ready to take up such employment. However, strong employment growth may create future shortages for the occupation in question and the outcome will depend on the responsiveness of the wage mechanism, working conditions, and the availability of education and training to meet future demand.

Replacement demand (4) looks at employment needs that will arise as workers leave an occupation due to retirement, career changes, health, or other reasons. Replacement needs generally provide more job opportunities than new jobs, meaning that significant job opportunities arise even in occupations declining in size. Similar to expansion demand, the outcome will depend on other factors, as companies and organisations may decide not to replace retiring workers for budget reasons or because they can substitute labour with technology in highly routinised jobs.

Labour market imbalances capture the share of occupational employment likely to encounter difficulties due to a mismatch of supply and demand in formal education composition. Those imbalances could go in either direction: one occupation may experience insufficient numbers of highly educated workers to meet its needs, leading to skill gaps and low productivity, while another occupation may see the level of available education exceed that demanded, leading to over-education, low job satisfaction, high turnover, or increased costs for the employer.

The findings from the Cedefop future shortage indicator at occupational level should be read with caution. The comparison of different (types of) occupations is only indicative, as the indicator does not adjust for the size of occupations (i.e. it does not apply any weights). In addition, the disaggregation stops at ISCO 2-digit level, which might comprise quite different occupations and hide substantial labour shortages in some occupations. There may also be large country variations in shortages. Given the limitations of the sectoral approach, this chapter focuses on an occupational future shortage indicator, except for section 4.1. which contains sectoral analysis. (5)


  • 1. Cedefop’s European Skills Forecasts are available here.
  • 2. More specifically, 4 (1) indicates that the value is a standard deviation above (below) the average, while 2 (3) indicates that the value is between the standard deviation above (below) the average and the average itself. The overall future shortage indicator is then constructed by an arithmetic average assuming equal weights.
  • 3. 2021-2035 per annum percentage net occupational employment change.
  • 4. 2021-2035 per annum occupational replacement change.
  • 5. The sectoral future shortage indicator is only available for 17 sectors at NACE 1-digit level, expect for some selected sectors identified as key to the green transitions (see section 4.1.), for which the indicator is available at NACE 2-digit level. As the imbalance indicator is only estimated for occupations, its value for a sector is set equal to the arithmetic average of the dominant occupations (those that add to at least 50% of employment within the sector and typically have an individual share of 8% or more), assuming equal weights.

Notes

  • 107. The survey is limited to information from private businesses and does not cover public services, such as public administration and defence, compulsory social security, education, human health and social work activities, and agriculture and mining sectors.
  • 108. As shown in Labour Market and Wage Developments in Europe 2022 (European Commission, 2022g), the share of low-skilled workers in an economy is positively associated with labour shortages.
  • 109. Employee retention is inversely related to job tenure.
  • 110. (Ployhart, Schmitt and Tippins, 2017), (Ryan and Ployhart, 2014), (Cappelli, 2012), (Cedefop, 2015), (Cedefop, 2018).
  • 111. (Modestino, Shoag and Balance, 2020).
  • 112. In countries where unemployment is particularly high, the share of firms reporting few difficulties in finding applicants with the right skills tends to be high, while the share of those reporting many difficulties tends to be low (Cedefop, 2015).
  • 113. (Goulart, Rodríguez-Menés and Caroz Armayones, 2022).
  • 114. Information about the 2019 wave of the ECS, jointly developed by Eurofound and Cedefop, available here.
  • 115. For example, poor HRM practices, or uncompetitive wages and working conditions.
  • 116. ECS 2019 variables used to proxy whether a high or low skill level is required in a company are: job design features, including the incidence of jobs with autonomy and problem-solving; those where there is no need to learn new skills (low skill or stagnant jobs); if there is continuous training; and if the pace of work is set by machines or routines. An additional proxy for firms’ commitment to investment in their human resources is an index derived from variables capturing the importance of training to achieve organisational goals, specifically (i) to improve employees’ ability to suggest ways to improve things, (ii) to ensure that all workers have the skills they need, (iii) to improve employee morale, and (iv) to increase flexibility by allowing workers to move across different positions. The index ranges from one to four. High values of the index signal that training is important to attaining many of the goals listed.
  • 117. Among the variables proxying for skills requirements, the index describing the importance of training to meet organisational goals has the strongest association with the likelihood of recruitment difficulties.
  • 118. In some countries, a representation body is mandatory for a given number of employees.
  • 119. Available here; see also (Cedefop, 2022e).
  • 120. Methodological assumptions used to define thresholds:
    • Last 10 years (since 2012);
    • - In every quarter, a subsector (at NACE 2-digit level) was considered to experience substantial labour shortages if the reported value exceeded the average across all subsectors in the country and amounted to at least 20%, or if at least half of the employers in the subsector per country reported labour shortages;
    • - For each subsector and country, the number and share of quarters with substantial labour shortages was calculated;
    • - Labour shortages were considered persistent in a subsector where substantial labour shortages occurred in at least one-third of the quarters;
    • - At EU level, the subsector was considered to experience persistent labour shortages if more than 10 Member States faced persistent labour shortages in that subsector.
  • 121. The BCS is limited to information from private businesses and does not cover public services such as public administration and defence, compulsory social security, education, human health and social work activities, and agriculture and mining sectors.
  • 122. Developed in the EU, NACE is the Statistical Classification of Economic Activities.
  • 123. Employment activities (N78) were also identified as facing persistent labour shortages. However, they were not considered among the labour shortage sectors in further analyses, as they include activities of listing employment vacancies and referring or placing applicants for employment, where the individuals referred or placed are not employees of the employment agencies, supplying workers to clients’ businesses for limited periods of time to supplement the workforce of the client, and the activities of providing other human resources, which might themselves be driven by other labour shortages.
  • 124. There are certain limitations to this approach, e.g. it does not allow for investigation of shortages at EU level before 2012, or for the full set of NACE 2-digit sectors (see Chart 2.1 notes).
  • 125. (ELA, 2023), (European Commission, 2020a), (European Commission, 2016a).
  • 126. Caveats linked to the data collection on shortages in occupations include: variation in the geographical scope of the exercise over time; different reference periods covered in the same reporting year; different sources used by the PES when reporting shortages (i.e. PES administrative data, national occupation forecasts, occupation barometer, PES survey only, combination of different sources); data at Member State level available at a higher aggregated level.
  • 127. ISCO-08 contains 436 specific occupations at 4-digit level and 130 groups at 3-digit level. Data on shortages exist at 4-digit level for all years except 2016 and 2015. Data missing in 2018.
  • 128. Occupational shortages selection criteria:
    • - In order to aggregate occupations at ISCO 4-digit level to ISCO 3-digit level, at least half of occupations at ISCO 4-digit level under the ISCO 3-digit level needed to be in shortage in the recorded year;
    • - An occupation at ISCO 3-digit level was identified to face persistent labour shortages if it experienced labour shortages in at least three of the years between 2016 and 2021.
  • 129. A selection of 4-digit shortage occupations was added to Table A.1.
  • 130. Occupations at ISCO 3-digit level might include occupations with different skill requirements.
  • 131. ESJS2 measured the intensity of foundation (literacy (reading and writing), numeracy), digital, interpersonal, problem-solving and manual skills required in the jobs of adult workers in the EU ( (Cedefop, 2022d)).
  • 132. A probit model is estimated using the available information on skill demand in occupations, skill mismatch, job quality, turnover, firm size and urban dimension, along with demographic characteristics of workers. In terms of skill mismatch, ESJS2 measures the extent to which the skills of EU workers need to be developed so that they can carry out their jobs proficiently. It also detects whether individuals’ education levels are higher or lower than those needed to do the job. ESJS2 contains several proxies for work quality in EU labour markets. These include: (i) job complexity, as measured by the extent to which EU workers have autonomy or leverage to plan in their jobs, or have to learn and adapt to unexpected situations and varied tasks; (ii) routinisation, specifically whether EU workers have to do short, repetitive movements or tasks, or follow fixed, standardised procedures; (iii) workers’ subjective job satisfaction; (iv) workers’ net monthly earnings.
  • 133. Including soft skills such as team-work, planning, communication.
  • 134. Differences are even more pronounced when considering narrowly defined occupational clusters that are part of the same ISCO 2-digit group.