Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Report . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Assessing environmental and market implications of steel decarbonisation strategies in Brazil

Authors: Silveira Guimarães, Bruna;

Assessing environmental and market implications of steel decarbonisation strategies in Brazil

Abstract

This study examines the transition to low-carbon steel production in Brazil, highlighting its environmental and economic implications. The results show that adopting cleaner technologies can reduce emissions by 69% while also lowering steel prices by up to 38%, challenging the assumption that decarbonization comes at a financial cost. Brazil’s abundant renewable energy resources and potential for green hydrogen production position the country as a key player in the global green steel economy. Furthermore, the study demonstrates that using the Input-Output Matrix and the Multifunctional Analysis of Regions through Input-Output (MARIO) model is an effective method for analyzing sectoral interactions and economic impacts. To ensure a successful transition, policymakers should establish clear regulations for green hydrogen production, implement subsidies and tax incentives to support clean energy investments, and enhance grid expansion and storage capacity. Strengthening steel recycling systems and promoting electric arc furnace adoption will further reduce emissions and energy demand. Additionally, long-term policy stability, carbon pricing mechanisms, and international trade agreements will be essential to securing investment and ensuring competitiveness in global markets. A just transition must also be prioritized by investing in workforce training programs to prepare for shifts in employment within the steel sector.

Keywords

MARIO, steel decarbonization, emissions, Hybrid input-output analysis

  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
0
Average
Average
Average
Green