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

Xintong Du; Yang Yang; Haifeng Guo

doi:10.1504/IJGW.2025.146268

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

Xintong Du^*
, Yang Yang
, Haifeng Guo

^*Corresponding author for this work

School of Management, Harbin Institute of Technology
Southwestern University of Finance and Economics

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	171-184
Number of pages	14
Journal	International Journal of Global Warming
Volume	36
Issue number	2
DOIs	https://doi.org/10.1504/IJGW.2025.146268
State	Published - 2025
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 12 Responsible Consumption and Production

Keywords

Low-carbon economy
construction mode
enterprise management model
grey digital model

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10.1504/IJGW.2025.146268

Cite this

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title = "Construction of low-carbon economic enterprise management mode based on grey digital model",

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, construction mode, enterprise management model, grey digital model",

author = "Xintong Du and Yang Yang and Haifeng Guo",

note = "Publisher Copyright: Copyright {\textcopyright} 2025 Inderscience Enterprises Ltd.",

year = "2025",

doi = "10.1504/IJGW.2025.146268",

language = "英语",

volume = "36",

pages = "171--184",

journal = "International Journal of Global Warming",

issn = "1758-2083",

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TY - JOUR

T1 - Construction of low-carbon economic enterprise management mode based on grey digital model

AU - Du, Xintong

AU - Yang, Yang

AU - Guo, Haifeng

PY - 2025

Y1 - 2025

N2 - 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.

AB - 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.

KW - Low-carbon economy

KW - construction mode

KW - enterprise management model

KW - grey digital model

UR - https://www.scopus.com/pages/publications/105005328669

U2 - 10.1504/IJGW.2025.146268

DO - 10.1504/IJGW.2025.146268

M3 - 文章

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SN - 1758-2083

VL - 36

SP - 171

EP - 184

JO - International Journal of Global Warming

JF - International Journal of Global Warming

IS - 2

ER -

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

Abstract

UN SDGs

Keywords

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