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Article type: Research Article
Authors: Xie, Ziyuana | Tian, Guixianb; * | Tao, Yongchaoc
Affiliations: [a] College of Finance and Information, Ningbo University of Finance and Economics, Ningbo, Zhejiang, China | [b] School of Business, Pingxiang University, Pingxiang, Jiangxi, China | [c] Shandong Marine Economic and Cultural Research Institute, Shandong Academy of Social Science, Qingdao, Shandong, China
Correspondence: [*] Corresponding author: Guixian Tian, School of Business, Pingxiang University, Pingxiang, Jiangxi 337055, China. E-mail: [email protected].
Abstract: Under the influence of environment, enterprise index and other factors, the result of enterprise financial development path analysis is not ideal, so the development path of green enterprise financial development in coastal cities is studied. The regional differences of the green economy of coastal cities are analyzed. Under the premise of considering the differences, the competitiveness of the financial development of green enterprises in coastal cities is clarified, and the constraints that affect the financial development path are obtained. According to the development goal of enterprise financial integration, all the influencing indexes that affect the development path of enterprise finance are obtained, and the concrete path of enterprise financial development is finally gotten. A port city is selected as the experimental object to verify, under the condition of low impact degree and high change of index, using expert evaluation method to compare the design method and existing methods. According to the results, the average expert evaluation score of the proposed method is 87.8, higher than that of the control method. The results show that the proposed path analysis method is more suitable for the analysis of the current situation of green enterprise financial development, and has more practical significance.
Keywords: Coastal cities, green enterprises, financial development, path analysis, expert scoring method, constraints
DOI: 10.3233/JCM-226599
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 2, pp. 1069-1085, 2023
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