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Abstract

While 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.
Original languageEnglish
Pages (from-to)6286-6307
Number of pages22
JournalSustainable development
Volume32
Issue number6
Early online date4 May 2024
DOIs
Publication statusPublished - Dec 2024

Bibliographical note

Copyright © 2024 The Authors. Sustainable Development published by ERP Environment and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

Funding

The authors thank the Department of Building and Real Estate of The Hong Kong Polytechnic University for funding this research. The authors also appreciate the support of the Powell Center for Construction and Environment at the University of Florida, USA. This paper forms part of a PhD research project aimed at promoting GF-in-GBs, thus sharing a similar background and methodology with other related papers to be published by the authors but with different scopes and objectives. We appreciate all the experts who participated in the study. Finally, we are extremely grateful to the Editors and Reviewers whose constructive and invaluable comments and suggestions helped improve the quality of this paper significantly.

Funders
Department of Building and Real Estate, Hong Kong Polytechnic University
University of Florida

    Keywords

    • drivers
    • fuzzy Delphi method
    • green building
    • sustainable development
    • fuzzy DEMATEL
    • green finance

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