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Article . 2025 . Peer-reviewed
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https://doi.org/10.2139/ssrn.5...
Article . 2025 . Peer-reviewed
Data sources: Crossref
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Research . 2025
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Research . 2025
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The Local Job Multipliers of Green Industrialization

Authors: Frattini, Federico Fabio; Vona, Francesco; Bontadini, Filippo; Colantone, Italo;

The Local Job Multipliers of Green Industrialization

Abstract

What are the job multipliers of the green industrialization? We tackle this question within EU regions over the period 2003-2017, building a novel measure of green manufacturing penetration that combines green production and regional employment data. We estimate local job multipliers of green penetration in a long-difference model, using a shift-share instrument that exploits plausibly exogenous changes in non-EU green innovation. We find that a 3-years change in green penetration per worker increases the employment-to-active population ratio by 0.11 pp. The effect is: persistent both in manufacturing and outside manufacturing; halved by agglomeration effects that increase the labour market tightness; stronger for workers with high and low-education; and present also in regions specialized in polluting industries. When focusing on large shocks in a staggered DiD design, we find ten times larger effects, particularly in earlier periods.

Keywords

Difference-in-differences, local job multipliers, green industrialisation, ddc:330, J21, Local job multipliers, O14, R11, Green industrialisation, Employment effects of the green transition, shift-share IV design, Shift-share IV design, difference-in-differences, employment effects of the green transition

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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