Technical versus environmental efficiency in steel production: A global perspective

This study provides the first global, plant-level assessment of both technical and environmental efficiency in steel production using a novel micro-dataset covering 143 steel mills across 50 countries from 2019 to 2023. Applying a Stochastic Directional Distance Function, we estimate each plant's distance to the production frontier and compute the shadow price of CO<sub>2</sub>e emissions. Our results reveal a robust negative correlation between inefficiency and marginal abatement cost: technically efficient electric arc furnace (EAF) mini-mills - particularly prevalent in North America - display low inefficiency scores (∼0.2) and face high marginal abatement costs (up to 13.4 USD/ton). Conversely, integrated plants in developing countries often operate inefficiently (scores up to ∼0.8) but can abate emissions at very low cost (∼0.4 USD/ton), with Europe positioned between these two extremes. Estimated shadow prices are consistently lower than prevailing carbon market rates, highlighting a systemic under-valuation of emissions in the absence of regulatory pressure. This underpricing, in turn, reflects the highly uneven technological and economic conditions across steel plants worldwide, reinforcing the need for climate policies that account for both efficiency levels and plant configurations, and that tailor interventions to the specific costs and capacities of decarbonization.

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Publication Details

Journal
Journal of Environmental Management
Published
2026-01-01
DOI
https://doi.org/10.1016/j.jenvman.2026.128560
Primary Topic
Efficiency Analysis Using DEA
Type
article
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article

Technical versus environmental efficiency in steel production: A global perspective

Giacomo Benini, Erik Enstad, Amare Alemaye Mersha, Luca Rossini
Journal of Environmental Management
Efficiency Analysis Using DEA
article

Technical versus environmental efficiency in steel production: A global perspective

Giacomo Benini, Erik Enstad, Amare Alemaye Mersha, Luca Rossini
article en

Abstract

This study provides the first global, plant-level assessment of both technical and environmental efficiency in steel production using a novel micro-dataset covering 143 steel mills across 50 countries from 2019 to 2023. Applying a Stochastic Directional Distance Function, we estimate each plant's distance to the production frontier and compute the shadow price of CO<sub>2</sub>e emissions. Our results reveal a robust negative correlation between inefficiency and marginal abatement cost: technically efficient electric arc furnace (EAF) mini-mills - particularly prevalent in North America - display low inefficiency scores (∼0.2) and face high marginal abatement costs (up to 13.4 USD/ton). Conversely, integrated plants in developing countries often operate inefficiently (scores up to ∼0.8) but can abate emissions at very low cost (∼0.4 USD/ton), with Europe positioned between these two extremes. Estimated shadow prices are consistently lower than prevailing carbon market rates, highlighting a systemic under-valuation of emissions in the absence of regulatory pressure. This underpricing, in turn, reflects the highly uneven technological and economic conditions across steel plants worldwide, reinforcing the need for climate policies that account for both efficiency levels and plant configurations, and that tailor interventions to the specific costs and capacities of decarbonization.

Journal of Environmental ManagementVol. 398
Quanta System (Italy) (IT), Fondazione Eni Enrico Mattei (IT), Norwegian School of Economics (NO)
Openalex Percentile: Top 94%
Efficiency Analysis Using DEA
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