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240628 ||| eng |
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1 |
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|a Causa, Orsetta
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| 245 |
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|a Lost in the green transition? Measurement and stylized facts
|h Elektronische Ressource
|c Orsetta, Causa, Maxime, Nguyen and Emilia, Soldani
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| 260 |
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|a Paris
|b OECD Publishing
|c 2024
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| 300 |
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|a 37 p.
|c 21 x 28cm
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| 653 |
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|a Economics
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| 700 |
1 |
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|a Nguyen, Maxime
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| 700 |
1 |
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|a Soldani, Emilia
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OECD
|a OECD Books and Papers
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| 490 |
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|a OECD Economics Department Working Papers
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| 028 |
5 |
0 |
|a 10.1787/dce1d5fe-en
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| 856 |
4 |
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|a oecd-ilibrary.org
|u https://doi.org/10.1787/dce1d5fe-en
|x Verlag
|3 Volltext
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| 082 |
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|a 330
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| 520 |
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|a Greening the economy entails jobs contracting in "high-polluting" economic activities and expanding in environment-friendly activities. Minimizing the corresponding transition costs is crucial to accelerate decarbonisation and reduce displacement costs for affected workers. Using individual-level labour force data for a large sample of European countries, this paper finds that the shares of green and high-polluting jobs remained approximately stable between 2009 and 2019, hinting at a slow or yet-to-come green transition in labour markets. Green and high-polluting jobs are unequally distributed across socioeconomic groups: women are under-represented in both green and high-polluting jobs, while green jobs are associated with higher educational attainment, and high-polluting jobs with lower educational attainment. Equally important from a policy perspective, the results show that high-polluting jobs are concentrated in rural areas. These results are confirmed by analyzing labour market transitions: for instance, while women are more likely to transition from study to job, they are significantly less likely to get a green job. Overall, the results suggest that well designed and targeted policies are needed to support efficient and inclusive labour market transitions in the greening economy: to minimize scarring effects for displaced workers, help individuals' upskilling and reskilling, and support the matching between workers and jobs in higher demand
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