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Pathways to improve energy efficiency under carbon emission constraints in iron and steel industry: Using EBM, NCA and QCA approaches

Xiaoling Wang Orcid Logo, Tianyue Zhang, Shiyu Luo, Mohammad Abedin Orcid Logo

Journal of Environmental Management, Volume: 348, Start page: 119206

Swansea University Author: Mohammad Abedin Orcid Logo

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Abstract

Improving environmental performance of energy- and carbon-intensive sectors represented by the iron and steel (IS) industry is of utmost importance to address the challenges of resource depletion and climate change worldwide. This article adopts a global-super-Epsilon-Based Measure (EBM) model with...

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Published in: Journal of Environmental Management
ISSN: 0301-4797
Published: Elsevier BV 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa64832
first_indexed 2023-10-28T11:32:47Z
last_indexed 2024-11-25T14:14:50Z
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spelling 2023-11-21T12:15:07.3256810 v2 64832 2023-10-28 Pathways to improve energy efficiency under carbon emission constraints in iron and steel industry: Using EBM, NCA and QCA approaches 4ed8c020eae0c9bec4f5d9495d86d415 0000-0002-4688-0619 Mohammad Abedin Mohammad Abedin true false 2023-10-28 CBAE Improving environmental performance of energy- and carbon-intensive sectors represented by the iron and steel (IS) industry is of utmost importance to address the challenges of resource depletion and climate change worldwide. This article adopts a global-super-Epsilon-Based Measure (EBM) model with undesirable output for IS energy efficiency estimation, identifies efficiency determinants based on Technology-Organization-Environment (TOE) framework, and analyzes various pathways for efficiency improvement by grouping Necessary Condition Analysis (NCA) and fuzzy-set Qualitative Comparative Analysis (fsQCA). Empirical testing using statistical data of the G20 economies during 2010–2020 demonstrates that: 1) energy efficiency in the IS industry in G20 countries has risen amidst fluctuations, with developed countries performing more efficiently than developing countries; 2) individual factors do not constitute a compulsory condition to achieve high energy efficiency in the IS industry; 3) three different paths to achieve high energy performance are found, that is, technology-structure driven, regulation-economy-technology driven, and regulation-technology-production driven. Heterogenous policy recommendations for efficiency gains in the IS sector of different countries with divergent features are proposed accordingly. Journal Article Journal of Environmental Management 348 119206 Elsevier BV 0301-4797 Iron and steel (IS) industry, Energy efficiency, Technology-Organization-Environment (TOE) framework, EBM technique, NCA, fsQCA 1 12 2023 2023-12-01 10.1016/j.jenvman.2023.119206 http://dx.doi.org/10.1016/j.jenvman.2023.119206 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University This study is supported by National Social Science Fund of China (22BJY138). 2023-11-21T12:15:07.3256810 2023-10-28T12:31:58.1874204 Faculty of Humanities and Social Sciences School of Management - Accounting and Finance Xiaoling Wang 0000-0002-1666-8916 1 Tianyue Zhang 2 Shiyu Luo 3 Mohammad Abedin 0000-0002-4688-0619 4 64832__29034__a64bd24c5ffc4b0a87e5df4038f2d907.pdf 64832.AAM.pdf 2023-11-15T15:45:01.0115978 Output 620601 application/pdf Accepted Manuscript true Author accepted manuscript document released under the terms of a Creative Commons CC-BY Attribution 4.0 licence using the Swansea University Research Publications Policy. true eng https://creativecommons.org/licenses/by/4.0/
title Pathways to improve energy efficiency under carbon emission constraints in iron and steel industry: Using EBM, NCA and QCA approaches
spellingShingle Pathways to improve energy efficiency under carbon emission constraints in iron and steel industry: Using EBM, NCA and QCA approaches
Mohammad Abedin
title_short Pathways to improve energy efficiency under carbon emission constraints in iron and steel industry: Using EBM, NCA and QCA approaches
title_full Pathways to improve energy efficiency under carbon emission constraints in iron and steel industry: Using EBM, NCA and QCA approaches
title_fullStr Pathways to improve energy efficiency under carbon emission constraints in iron and steel industry: Using EBM, NCA and QCA approaches
title_full_unstemmed Pathways to improve energy efficiency under carbon emission constraints in iron and steel industry: Using EBM, NCA and QCA approaches
title_sort Pathways to improve energy efficiency under carbon emission constraints in iron and steel industry: Using EBM, NCA and QCA approaches
author_id_str_mv 4ed8c020eae0c9bec4f5d9495d86d415
author_id_fullname_str_mv 4ed8c020eae0c9bec4f5d9495d86d415_***_Mohammad Abedin
author Mohammad Abedin
author2 Xiaoling Wang
Tianyue Zhang
Shiyu Luo
Mohammad Abedin
format Journal article
container_title Journal of Environmental Management
container_volume 348
container_start_page 119206
publishDate 2023
institution Swansea University
issn 0301-4797
doi_str_mv 10.1016/j.jenvman.2023.119206
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
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hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Accounting and Finance{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Accounting and Finance
url http://dx.doi.org/10.1016/j.jenvman.2023.119206
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description Improving environmental performance of energy- and carbon-intensive sectors represented by the iron and steel (IS) industry is of utmost importance to address the challenges of resource depletion and climate change worldwide. This article adopts a global-super-Epsilon-Based Measure (EBM) model with undesirable output for IS energy efficiency estimation, identifies efficiency determinants based on Technology-Organization-Environment (TOE) framework, and analyzes various pathways for efficiency improvement by grouping Necessary Condition Analysis (NCA) and fuzzy-set Qualitative Comparative Analysis (fsQCA). Empirical testing using statistical data of the G20 economies during 2010–2020 demonstrates that: 1) energy efficiency in the IS industry in G20 countries has risen amidst fluctuations, with developed countries performing more efficiently than developing countries; 2) individual factors do not constitute a compulsory condition to achieve high energy efficiency in the IS industry; 3) three different paths to achieve high energy performance are found, that is, technology-structure driven, regulation-economy-technology driven, and regulation-technology-production driven. Heterogenous policy recommendations for efficiency gains in the IS sector of different countries with divergent features are proposed accordingly.
published_date 2023-12-01T14:34:50Z
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