Empirical Impact of Green Credit Policies on ESG Indicators and Financial Performance Based on Fuzzy Sets
DOI: 10.23977/accaf.2024.050214 | Downloads: 19 | Views: 273
Author(s)
Xiaoyan Tang 1
Affiliation(s)
1 School of Economics and Management, Nanchang Institute of Science and Technology, Nanchang, Jiangxi, China
Corresponding Author
Xiaoyan TangABSTRACT
As the problem of climate change becomes more and more serious, governments around the world are trying their best to mitigate and adapt to the impact of climate change. As the backbone of national economic development, enterprises also need to play an important role in it. As a bridge to measure the relationship among enterprises, the environment and social responsibility, ESG is extremely important today. Exploring the impact of corporate ESG performance on financial performance can help companies' better address environmental and social issues while ensuring their own business results. This paper aims to conduct an empirical study on the impact of green credit policies on ESG indicators and financial performance based on fuzzy sets. This paper first explains green credit, and then elaborates on intuitionistic fuzzy set theory. Intuitive fuzzy set theory is an extension of fuzzy sets. On the basis of fuzzy set membership degree, it introduces the concept of irrespective of membership degree and hesitation degree, and extends from one-dimensional fuzzy sets to three-dimensional intuitionistic fuzzy sets. Finally, taking Pharmaceutical Technology Co., Ltd. (Company A) as an example, this paper explores the ESG performance of the company, and analyzes the relationship between the ESG performance and financial performance of Company A. The experimental results of this paper show that enterprises can improve the production efficiency of their own equipment based on excellent ESG performance. It ensures the completeness of the production organization and the strength of product delivery. It improves the level of operation and management, and improves the utilization rate of production capacity, thereby enhancing the financial performance of the enterprise, and its overall performance is increased by 30%. Therefore, the excellent ESG performance of Company A has a positive impact on financial performance.
KEYWORDS
ESG Indicators, Fuzzy Sets, Green Credit, Financial PerformanceCITE THIS PAPER
Xiaoyan Tang, Empirical Impact of Green Credit Policies on ESG Indicators and Financial Performance Based on Fuzzy Sets. Accounting, Auditing and Finance (2024) Vol. 5: 103-117. DOI: http://dx.doi.org/10.23977/accaf.2024.050214.
REFERENCES
[1] Zumente I, N Lāce. Does diversity drive non-financial reporting: Evidence from the Baltic States[J]. Intellectual Economics, 2020, 15(1):50-66.
[2] Btae O M, Feleag L, Dragomir V D. Environmental, social, governance (ESG), and financial performance of European banks [J]. Journal of Accounting and Management Information Systems, 2020, 19(3):480-501.
[3] Giese G, Lee L E, Melas D. Foundations of ESG Investing: How ESG Affects Equity Valuation, Risk, and Performance [J]. The Journal of Portfolio Management, 2019, 45(5):69-83.
[4] Zhan J, Zhu K. A novel soft rough fuzzy set: Z-soft rough fuzzy ideals of hemirings and corresponding decision making [J]. Soft Computing, 2017, 21(8):1923-1936.
[5] Yang B, Sui W, Duan L. Risk Assessment of Water Inrush in an Underground Coal Mine Based on GIS and Fuzzy Set Theory [J]. Mine Water and the Environment, 2017, 36(1743):617-627.
[6] Wang S, Zhang X. An image enhancement method based on improved fuzzy set[J]. Revista de la Facultad de Ingenieria, 2017, 32(10):887-893.
[7] Whieldon E. Panel stresses ESG metrics help utilities relay existing practices, goals[J]. Snl Energy Coal Report, 2019, 15(7):11-12.
[8] Chasan E. London Stock Exchange Has New ESG Reporting Guide[J]. International environment reporter, 2017, 40(4):210-212.
[9] Russell-Walling E. Bnp Paribas Makes Pil Easy To Swallow Team of the month[J]. Banker, 2019, 169(1117):40-41.
[10] Lange J P. Performance metrics for sustainable catalysis in industry[J]. Nature Catalysis, 2021, 4(3):186-192.
[11] Wheatcroft E. Interpreting the skill score form of forecast performance metrics[J]. International Journal of Forecasting, 2019, 35(2):573-579.
[12] Deepa, Mishra, Angappa. Supply chain performance measures and metrics: a bibliometric study[J]. Benchmarking, 2018, 25(3):932-967.
[13] Larry, Fast. Performance Metrics that matter: Effective Productivity measures[J]. Industry Week, 2017, 266(1):28-31.
[14] Iampan A. Fuzzy Translations of a Fuzzy Set in UP-Algebras[J]. Journal of the Indonesian Mathematical Society, 2017, 23(2):1-19.
[15] Du W S, Hu B Q. Dominance-based rough fuzzy set approach and its application to rule induction[J]. European Journal of Operational Research, 2017, 261(2):690-703.
[16] Zhang H, Zhang F, Gong B, Zhan, X, & Zhu Y. The Optimization of Supply Chain Financing for Bank Green Credit Using Stackelberg Game Theory in Digital Economy Under Internet of Things. Journal of Organizational and End User Computing, 2023, 35(3): 1-16.
Downloads: | 7159 |
---|---|
Visits: | 72518 |
Sponsors, Associates, and Links
-
Information Systems and Economics
-
Industrial Engineering and Innovation Management
-
Tourism Management and Technology Economy
-
Journal of Computational and Financial Econometrics
-
Financial Engineering and Risk Management
-
Accounting and Corporate Management
-
Social Security and Administration Management
-
Population, Resources & Environmental Economics
-
Statistics & Quantitative Economics
-
Agricultural & Forestry Economics and Management
-
Social Medicine and Health Management
-
Land Resource Management
-
Information, Library and Archival Science
-
Journal of Human Resource Development
-
Manufacturing and Service Operations Management
-
Operational Research and Cybernetics