Occupational structures across 25 EU countries: the importance of industry structure and technology in old and new EU countries
This article analyzes the occupational structure of 25 European Union countries during the period 2000-2004. Shift-share analyses are used to decompose cross-country differences in occupational structure into within sector and between sectors effects. The static analysis for 2004 shows that the new...
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Veröffentlicht in: | Economic change and restructuring 2007-12, Vol.40 (4), p.327-359 |
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description | This article analyzes the occupational structure of 25 European Union countries during the period 2000-2004. Shift-share analyses are used to decompose cross-country differences in occupational structure into within sector and between sectors effects. The static analysis for 2004 shows that the new member countries employ a lower share of skilled workers because their industry structure is biased towards less skill-intensive industries and because they use fewer skills within industries. The differences in the shares of (high-skilled) non-production workers are dominated by the between (industrial) effect. In contrast, the dynamic analysis of 2000-2004 showed that changes in the share of high-skilled non-production workers are mostly driven by within sector changes, which are probably related to skill-biased technological change. Similar trends in the countries' within effects support the catch-up of the new member countries' skills demand, while the structural developments that could equalize the industry mix of the new and old member countries are related to increased domestic demand and will probably take time. [PUBLICATION ABSTRACT] |
doi_str_mv | 10.1007/s10644-008-9035-7 |
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Shift-share analyses are used to decompose cross-country differences in occupational structure into within sector and between sectors effects. The static analysis for 2004 shows that the new member countries employ a lower share of skilled workers because their industry structure is biased towards less skill-intensive industries and because they use fewer skills within industries. The differences in the shares of (high-skilled) non-production workers are dominated by the between (industrial) effect. In contrast, the dynamic analysis of 2000-2004 showed that changes in the share of high-skilled non-production workers are mostly driven by within sector changes, which are probably related to skill-biased technological change. Similar trends in the countries' within effects support the catch-up of the new member countries' skills demand, while the structural developments that could equalize the industry mix of the new and old member countries are related to increased domestic demand and will probably take time. 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Shift-share analyses are used to decompose cross-country differences in occupational structure into within sector and between sectors effects. The static analysis for 2004 shows that the new member countries employ a lower share of skilled workers because their industry structure is biased towards less skill-intensive industries and because they use fewer skills within industries. The differences in the shares of (high-skilled) non-production workers are dominated by the between (industrial) effect. In contrast, the dynamic analysis of 2000-2004 showed that changes in the share of high-skilled non-production workers are mostly driven by within sector changes, which are probably related to skill-biased technological change. Similar trends in the countries' within effects support the catch-up of the new member countries' skills demand, while the structural developments that could equalize the industry mix of the new and old member countries are related to increased domestic demand and will probably take time. [PUBLICATION ABSTRACT]</description><subject>Blue collar workers</subject><subject>Decomposition</subject><subject>Developing countries</subject><subject>Economic development</subject><subject>Employment</subject><subject>Employment level</subject><subject>Europe</subject><subject>High income</subject><subject>Industry structure</subject><subject>Innovation diffusion</subject><subject>International</subject><subject>Investigations</subject><subject>J21</subject><subject>J24</subject><subject>Labor market</subject><subject>Labour economics</subject><subject>Labour force</subject><subject>LDCs</subject><subject>O33</subject><subject>Occupational structure</subject><subject>Occupations</subject><subject>Organizational change</subject><subject>Organizational structure</subject><subject>P23</subject><subject>R&D</subject><subject>Research & development</subject><subject>Research & development expenditures</subject><subject>Skilled workers</subject><subject>Skills</subject><subject>Statistical analysis</subject><subject>Technological change</subject><subject>Technology</subject><subject>Technology diffusion</subject><subject>Transition economies</subject><issn>1573-9414</issn><issn>1574-0277</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpdUbtOxDAQjBBIPD-AzqKgC6wfsWM6hHgKiQZqy3EcLpCzg-2AruLX8d0hEBSza49mptgpikMMJxhAnEYMnLESoC4l0KoUG8UOrkRmiBCbqzctJcNsu9iN8QWgAgl4p_h8MGYadeq90wOKKUwmTcFGpE3wMSJSocsnZPzkUuhtPENpZlE_H31I2hmLfId6107ZuPh1I-1alKyZOT_450VWID-0K9bZjz-B-8VWp4doD773XvF0dfl4cVPeP1zfXpzfl4YxlkrLoe0kr0XTEqibGjdgLGW8wwY3pmsqBpjqputYrY3hhmAN2oJouJCN4IzuFcfr3DH4t8nGpOZ9NHYYtLN-iooKIEwSkoVH_4Qvfgr5OFERzCtZSS6zCK9FqyMF26kx9HMdFgqDWvah1n2o3Ida9qFE9tytPcGO1vwYXnX--XFw6l1RzSCPRQZZhlDdL7mMMYOSzFRSzdKcfgEXGpko</recordid><startdate>20071201</startdate><enddate>20071201</enddate><creator>Cörvers, Frank</creator><creator>Meriküll, Jaanika</creator><general>Springer</general><general>Springer Nature B.V</general><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88C</scope><scope>88J</scope><scope>8AO</scope><scope>8BJ</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>JBE</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M0T</scope><scope>M2R</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20071201</creationdate><title>Occupational structures across 25 EU countries: the importance of industry structure and technology in old and new EU countries</title><author>Cörvers, Frank ; 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Shift-share analyses are used to decompose cross-country differences in occupational structure into within sector and between sectors effects. The static analysis for 2004 shows that the new member countries employ a lower share of skilled workers because their industry structure is biased towards less skill-intensive industries and because they use fewer skills within industries. The differences in the shares of (high-skilled) non-production workers are dominated by the between (industrial) effect. In contrast, the dynamic analysis of 2000-2004 showed that changes in the share of high-skilled non-production workers are mostly driven by within sector changes, which are probably related to skill-biased technological change. 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subjects | Blue collar workers Decomposition Developing countries Economic development Employment Employment level Europe High income Industry structure Innovation diffusion International Investigations J21 J24 Labor market Labour economics Labour force LDCs O33 Occupational structure Occupations Organizational change Organizational structure P23 R&D Research & development Research & development expenditures Skilled workers Skills Statistical analysis Technological change Technology Technology diffusion Transition economies |
title | Occupational structures across 25 EU countries: the importance of industry structure and technology in old and new EU countries |
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