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Transitioning or tinkering at a net-zero economy? Introducing an assessment framework for industrial cluster decarbonisation in the United Kingdom

Bibliographic Data

ID13067181
AuthorsChris Ogwumike (0000-0001-7087-3411, Teesside University, corresponding author), Anderson Akponeware (0000-0003-2988-0745, Leeds Beckett University), Adepeju Oyewole (Teesside University), Huda Dawood (0000-0003-1032-7560, Teesside University), Ruben Pinedo‐cuenca (0000-0002-2703-6631, Teesside University), Janie Ling‐chin (0000-0002-3512-7779, Durham University), Anthony Paul Roskilly (0000-0002-9356-3157, Durham University), Nashwan Dawood (0000-0002-4873-7576, Teesside University)
Year2024
Volume110
Pages103459-103459
Publication date2024-02-09
Open AccessYes
TypeARTICLE
VenueEnergy Research & Social Science (JOURNAL)
Journal identifiersISSN: 2214-6296 • E-ISSN: 2214-6326
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.erss.2024.103459
OpenAlexW4391706800
LanguageEN
Citations received6
References cited27

Decarbonising industrial clusters globally is crucial in combating climate change and is integral to the United Kingdom's ambition of achieving a net-zero economy by 2050. The absence of holistic frameworks that provide a nuanced understanding of the broad spectrum of mitigation options for decarbonising industrial clusters, coupled with a deficiency in real-world empirical evaluations, present a substantial barrier in realising set targets for reducing CO2 emissions. The increasing fragmentations in industrial decarbonisation frameworks further exacerbates the challenge of identifying the necessary and sufficient actions for achieving optimal industrial decarbonisation and net-zero transitioning. This paper proposes an assessment framework for industrial cluster decarbonisation and aims to address the existing gaps, particularly in the assessment of social, economic, and environmental impact of any deployed technology. Focusing on a wide range of technologies, sectoral strategies, and regional dynamics, the proposed framework is driven by specific key performance indicators and a comprehensive human and data-driven analytical approach that reflects descriptive, diagnostic, and prescriptive insights on the Teesside industrial cluster in the United Kingdom. Following the validation of the proposed assessment framework, empirical findings from 30 in-depth semi-structured interviews, two workshops, focus group meetings and the literature on industrial decarbonisation reveal that the framework recognises the complex interplay of technology and decision-making in the transition to net-zero of industrial clusters. The article concludes that the proposed assessment framework can assist stakeholders, policymakers, and researchers in assessing the impacts of energy transition, which is critical to policy design and decision-making while also contributing to achieving sustainable decarbonisation goals

Business · Cluster (spacecraft · Economic geography · Economics · Economy · Net (polyhedron · Zero (linguistics · Computer Science · Mathematics · Regional Development and Policy · Regional Economics and Spatial Analysis · Regional resilience and development

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Citations per year6
Citation span2025 - 2026 (2)
Highly citedNo

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