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Construction of an abatement benefit model for the steel industry driven by technological innovation: A perspective on emerging technology factors

Xin Guo et al.

International Journal of Technology Management and Sustainable Development2026https://doi.org/10.1386/tmsd_00116_1article
AJG 1ABDC C
Weight
0.50

What the paper says

Decarbonizing the steel industry is crucial for carbon neutrality. New strategies and technologies are helping reduce emissions, while current analyses of abatement benefits take into account the impact of different technology shares on abatement potential, they often overlook the knowledge base of technological innovation, as well as the availability and practicality of these technologies. This limitation hinders steel enterprises from accurately identifying technological gaps and effectively deploying decarbonization technologies. Therefore, this article introduces a quantitative tool called the ‘Emerging Technology Factor’. It evaluates innovation knowledge and integrates it into steel industry carbon abatement analysis, boosting efficiency by 4.66 per cent on average. Under various scenarios, decarbonization technologies can reduce emissions by 406 million to 822 million tons, though at a significant cost. Technologies like BECCS for BF–BOF, Ammonia-DRI-EAF and H 2 -DRI-EAF show high potential and cost-effectiveness, making them top choices for future deployment.

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https://doi.org/https://doi.org/10.1386/tmsd_00116_1

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@article{xin2026,
  title        = {{Construction of an abatement benefit model for the steel industry driven by technological innovation: A perspective on emerging technology factors}},
  author       = {Xin Guo et al.},
  journal      = {International Journal of Technology Management and Sustainable Development},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1386/tmsd_00116_1},
}

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Construction of an abatement benefit model for the steel industry driven by technological innovation: A perspective on emerging technology factors

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.