Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/110526
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dc.contributorDepartment of Building and Real Estateen_US
dc.creatorDebrah, Cen_US
dc.creatorChan, APCen_US
dc.creatorDarko, Aen_US
dc.creatorRies, RJen_US
dc.creatorOhene, Een_US
dc.creatorTetteh, MOen_US
dc.date.accessioned2024-12-17T00:43:26Z-
dc.date.available2024-12-17T00:43:26Z-
dc.identifier.issn0968-0802en_US
dc.identifier.urihttp://hdl.handle.net/10397/110526-
dc.language.isoenen_US
dc.publisherJohn Wiley & Sons Ltd.en_US
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.en_US
dc.rights© 2024 The Authors. Sustainable Development published by ERP Environment and John Wiley & Sons Ltd.en_US
dc.rightsThe following publication Debrah, C., Chan, A. P. C., Darko, A., Ries, R. J., Ohene, E., & Tetteh, M. O. (2024). Driving factors for the adoption of green finance in green building for sustainable development in developing countries: The case of Ghana. Sustainable Development, 32(6), 6286–6307 is available at https://doi.org/10.1002/sd.3022.en_US
dc.subjectDriversen_US
dc.subjectFuzzy Delphi methoden_US
dc.subjectFuzzy DEMATELen_US
dc.subjectGreen buildingen_US
dc.subjectGreen financeen_US
dc.subjectSustainable developmenten_US
dc.titleDriving factors for the adoption of green finance in green building for sustainable development in developing countries : the case of Ghanaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage6286en_US
dc.identifier.epage6307en_US
dc.identifier.volume32en_US
dc.identifier.issue6en_US
dc.identifier.doi10.1002/sd.3022en_US
dcterms.abstractWhile there are many motivating factors for green finance (GF) implementation, a comprehensive taxonomy of these variables is lacking in the literature, especially for green buildings (GBs). This study aims to analyze the criticality and interdependence of GF-in-GB's driving factors. This study develops a valid set of factors to justify the interrelationships among the drivers. The drivers of GF-in-GB are qualitative in nature, and uncertainties exist among them due to linguistic preferences. This study applies the fuzzy Delphi method to validate eight drivers under uncertainties. Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL) with qualitative information is used to determine the interrelationships among the drivers. The drivers were grouped under two categories: prominent drivers and cause-effect drivers. The findings revealed that “increased awareness of GF models in GB” and “preferential capital requirements for low-carbon assets” are the top two most prominent/important drivers of GF-in-GB. In Ghana, the top three cause group drivers are “climate commitment,” “improved access to and lower cost of capital,” and “favorable macroeconomic conditions and investment returns.” Drivers with the highest prominence values have the potential to affect and/or be affected by other drivers; therefore, managers and policymakers should prioritize promoting or pursuing these drivers in the short term. On the other hand, it is important to pay more than equal attention to the drivers with the highest net cause values because they have the largest long-term impact on the entire system. The theoretical and practical implications of the study are discussed, enhancing understanding and decision-making in GF-in-GB.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSustainable development, Dec. 2024, v. 32, no. 6, p. 6286-6307en_US
dcterms.isPartOfSustainable developmenten_US
dcterms.issued2024-12-
dc.identifier.scopus2-s2.0-85192193982-
dc.identifier.eissn1099-1719en_US
dc.description.validate202412 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_TA-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextDepartment of Building and Real Estate, Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.description.TAWiley (2024)en_US
dc.description.oaCategoryTAen_US
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