Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/45266
Title: Stakeholders' perspective on sustainable cement made with naturally occurring radioactive by-products: A cross-country comparison
Authors: LOVE, Nazanin 
Geysmans, Robbe
LEROI-WERELDS, Sara 
Zeleznik, Nadja
Perko, Tanja
SCHROEYERS, Wouter 
MALINA, Robert 
Issue Date: 2025
Publisher: ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
Source: Journal of Environmental Management, 374 (Art N° 124136)
Abstract: The use of industrial by-products as substitutes for raw materials in cement production not only reduces raw material use, thereby contributing to the circular economy, but also offers an avenue for reducing greenhouse gas emissions. This study investigates the perceptions of industry representatives and end-users across Belgium, Czechia and Slovenia regarding alternative cement made with industrial by-products categorised as naturally occurring radioactive materials. Based on 66 interviews, three main concerns were discerned: health, performance, and economic. Health concerns varied across countries, whereas performance and economic concerns were consistent. Health concerns can be mitigated by fostering trust in authorities. Performance concerns can be addressed through certification and practical examples. Economic concerns arising from the perceived higher costs connected to sustainability and lack of urgency for immediate change can be mitigated through incentives and regulations. This study informs communication and policy strategies tailored to address stakeholders' specific concerns in each country.
Notes: Love, N (corresponding author), Hasselt Univ, Ctr Environm Sci, Res Grp Environm Econ, B-3590 Diepenbeek, Belgium.
nazanin.love@uhasselt.be
Keywords: Sustainable solutions;Circular economy;Alternative cement;Naturally occurring radioactive material;Stakeholder perceptions;CO2
Document URI: http://hdl.handle.net/1942/45266
ISSN: 0301-4797
e-ISSN: 1095-8630
DOI: 10.1016/j.jenvman.2025.124136
ISI #: 001402727300001
Rights: 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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