Incorporating Carbon Fees into the Efficiency Evaluation of Taiwan’s Steel Industry Using Data Envelopment Analysis with Negative Data

Shih-Heng Yu (), Ying-Sin Lin, Jia-Li Zhang, Chia-Shan Hsu and Shu-Min Cheng
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Shih-Heng Yu: Department of Business Management, National United University, Miaoli 360301, Taiwan
Ying-Sin Lin: Department of Business Management, National United University, Miaoli 360301, Taiwan
Jia-Li Zhang: Department of Business Management, National United University, Miaoli 360301, Taiwan
Chia-Shan Hsu: Department of Business Management, National United University, Miaoli 360301, Taiwan
Shu-Min Cheng: Department of Business Management, National United University, Miaoli 360301, Taiwan

Sustainability, 2025, vol. 17, issue 18, 1-18

Abstract: Carbon fees are scheduled to be levied in Taiwan, posing unprecedented challenges for the steel industry, given its high emissions and risk of carbon leakage. This study explores the potential impact of this policy on steel industry performance by incorporating projected carbon fees into the efficiency assessment. The Slacks-Based Measure (SBM) and Super SBM models in Data Envelopment Analysis (DEA), which account for negative data, are used to evaluate the operational efficiencies of 30 listed steel firms across supply chain segments in 2024 under baseline and carbon fee scenarios. Results reveal that incorporating the carbon fees mitigates the upward bias that overestimates inefficient firms’ SBM scores, triggers broad efficiency declines and ranking reshuffling (most severe upstream, moderate midstream, and least downstream), and widens cross-firm efficiency dispersion. Moreover, the study finds that excessive carbon fees and operating profit deficiencies are the main input- and output-side drivers of inefficiency, highlighting improvement potential in carbon cost management and profitability gains. To date, the efficiency implications of carbon fees for Taiwan’s steel industry have remained underexplored. Our findings offer empirical insights and a timely reference for steel firms to refine sustainability strategies ahead of forthcoming carbon fees.

Keywords: carbon pricing; carbon fee; data envelopment analysis; performance evaluation; steel industry (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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