Title: Construction of low-carbon economic enterprise management mode based on grey digital model

Authors: Xintong Du; Yang Yang; Haifeng Guo

Addresses: School of Management, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China ' School of Management, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China ' School of Finance, Southwestern University of Finance and Economics, Chengdu 611130, Sichuan, China

Abstract: This study explores the issue of constructing a low-carbon economic enterprise management model based on grey digital models. By analysing enterprise strategies and conducting model performance comparison experiments, the results show that the MAPE, MSE, and MAE values of the model in this paper are 0.275, 0.001, and 0.003, respectively, far lower than those of other models, with high prediction accuracy. The fitting degree of the model in this paper is 0.9997, which is better than that of other models, indicating strong performance support. Research shows that grey digital models have significant advantages in building low-carbon management models.

Keywords: Low-carbon economy; enterprise management model; construction mode; grey digital model.

DOI: 10.1504/IJGW.2025.146268

International Journal of Global Warming, 2025 Vol.36 No.2, pp.171 - 184

Received: 10 Sep 2024
Accepted: 04 Jan 2025
Published online: 14 May 2025 *

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