A Hybrid Multi-Criteria Decision-Making Model for Evaluating Companies’ Green Credit Rating
Chia-Chen Yang,
Shang-Ling Ou and
Li-Chang Hsu
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Chia-Chen Yang: Department of Finance, Ling Tung University, Taichung 40852, Taiwan
Shang-Ling Ou: Department of Agronomy, National Chung Hsing University, Taichung 40227, Taiwan
Li-Chang Hsu: Department of Finance, Ling Tung University, Taichung 40852, Taiwan
Sustainability, 2019, vol. 11, issue 6, 1-23
Abstract:
Along with economic development and social progress, environmental issues are increasingly becoming the subject of public concern. Through green credit, banks intentionally direct money into resource-conserving technology development and environmental protection industries, thus, encouraging enterprises to focus on green products. Therefore, establishing a reasonable green credit evaluation mechanism for banks is an important issue. Based on this, this study combines grey relational analysis (GRA), the Decision-Making Trial and Evaluation Laboratory technique (DEMATEL), analytic network process (ANP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to develop a hybrid multi-criteria decision-making (MCDM) model for quantifying data and, thereby, to establish a green credit rating mechanism. In order to verify the model, this study combines credit risk and economic, environmental and social performance evaluation criteria as green credit evaluation criteria. There are 55 high-tech listed companies in Taiwan in 2014 taken as the evaluation objects and conducted for a performance ranking. The empirical results can serve as a reference for financial authorities promoting green finance policies and for investors making investment decisions.
Keywords: green credit rating; hybrid MCDM model; GRA; DEMATEL; ANP; TOPSIS (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:6:p:1506-:d:213339
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