Abstract
Purpose Extant studies have discussed numerous carbon reduction drivers, but there is a dearth of holistic review and understanding of the dynamic interrelationships between the drivers from a system perspective. Thus, this study aims to bridge that gap. Design/methodology/approach The study conducted a review using Preferred Reporting Items for Systematic Reviews and Meta-Analyses and adopted interpretive structural modelling (ISM) to analyse and prioritise the drivers. Findings Eighteen drivers were identified and grouped into five, namely, policy instruments, bid-related, cost and risk, education and training, and reward and penalty drivers. The ISM revealed two hierarchical levels of the drivers with only higher cost of electricity/fuel on the higher level, making it the most important driver that could influence others. Practical implications The study presents an overview of decarbonisation drivers in the literature and would be of benefit to the government and stakeholders towards achieving net zero emissions in the construction industry. Originality/value The findings of the study present drivers of carbon reduction and prioritise and categorise them for tailored interventions within the construction sector. Also, it could serve as foundational knowledge for further study in the construction process decarbonisation research area.
More Information
Divisions: | School of Built Environment, Engineering and Computing |
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Identification Number: | https://doi.org/10.1108/jedt-05-2023-0202 |
Status: | Published |
Refereed: | Yes |
Publisher: | Emerald |
Additional Information: | Copyright © 2023, Emerald Publishing Limited |
Uncontrolled Keywords: | 09 Engineering, 12 Built Environment and Design, |
Depositing User (symplectic) | Deposited by Arogundade, Suhaib |
Date Deposited: | 09 Feb 2024 10:47 |
Last Modified: | 12 Jul 2024 10:47 |
Item Type: | Article |
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License: Creative Commons Attribution Non-commercial
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Read more research from the author(s):
- S Arogundade ORCID: 0000-0002-0455-6407
- M Dulaimi ORCID: 0000-0002-4611-3874
- S Ajayi ORCID: 0000-0001-6630-0717
- A Saka ORCID: 0000-0002-3213-9774
- O Ilori