A new measurement approach for identifying high-polluting jobs across European countries:
This paper develops a novel classification of high-polluting occupations for a large sample of European countries. Unlike previous efforts in the literature, the classification exploits country-level data on air polluting emission intensity by industry. The country-level data allows to capture impor...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Paris
OECD Publishing
2024
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Schriftenreihe: | OECD Economics Department Working Papers
no.1795 |
Schlagworte: | |
Online-Zugang: | DE-862 DE-863 |
Zusammenfassung: | This paper develops a novel classification of high-polluting occupations for a large sample of European countries. Unlike previous efforts in the literature, the classification exploits country-level data on air polluting emission intensity by industry. The country-level data allows to capture important cross-country differences, due to differences in technology and in production focus. Applying the new classification to European Labour Force Survey data shows that, on average across the countries covered, about 4% of workers are employed in high-polluting jobs, ranging from 9% in Czechia and the Slovak Republic to around 2% in Austria. These shares do not exhibit any clear decreasing trend over the past decade. High-polluting jobs are unequally distributed, being over-represented among men, workers with lower and medium educational attainment and those living in rural areas. |
Beschreibung: | 1 Online-Ressource (26 Seiten) 21 x 28cm. |
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spelling | Causa, Orsetta VerfasserIn aut A new measurement approach for identifying high-polluting jobs across European countries Orsetta, Causa, Maxime, Nguyen and Emilia, Soldani Paris OECD Publishing 2024 1 Online-Ressource (26 Seiten) 21 x 28cm. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OECD Economics Department Working Papers no.1795 This paper develops a novel classification of high-polluting occupations for a large sample of European countries. Unlike previous efforts in the literature, the classification exploits country-level data on air polluting emission intensity by industry. The country-level data allows to capture important cross-country differences, due to differences in technology and in production focus. Applying the new classification to European Labour Force Survey data shows that, on average across the countries covered, about 4% of workers are employed in high-polluting jobs, ranging from 9% in Czechia and the Slovak Republic to around 2% in Austria. These shares do not exhibit any clear decreasing trend over the past decade. High-polluting jobs are unequally distributed, being over-represented among men, workers with lower and medium educational attainment and those living in rural areas. Economics Nguyen, Maxime MitwirkendeR ctb Soldani, Emilia MitwirkendeR ctb |
spellingShingle | Causa, Orsetta A new measurement approach for identifying high-polluting jobs across European countries Economics |
title | A new measurement approach for identifying high-polluting jobs across European countries |
title_auth | A new measurement approach for identifying high-polluting jobs across European countries |
title_exact_search | A new measurement approach for identifying high-polluting jobs across European countries |
title_full | A new measurement approach for identifying high-polluting jobs across European countries Orsetta, Causa, Maxime, Nguyen and Emilia, Soldani |
title_fullStr | A new measurement approach for identifying high-polluting jobs across European countries Orsetta, Causa, Maxime, Nguyen and Emilia, Soldani |
title_full_unstemmed | A new measurement approach for identifying high-polluting jobs across European countries Orsetta, Causa, Maxime, Nguyen and Emilia, Soldani |
title_short | A new measurement approach for identifying high-polluting jobs across European countries |
title_sort | new measurement approach for identifying high polluting jobs across european countries |
topic | Economics |
topic_facet | Economics |
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