Research on Carbon Management and Energy Transition of Shenzhen Enterprises Based on Multivariate Grey Prediction Model
- DOI
- 10.2991/978-94-6463-702-1_36How to use a DOI?
- Keywords
- Shenzhen enterprises; Carbon management; Energy transformation; Multivariate grey prediction model; Sustainable development
- Abstract
This study focuses on the carbon management and energy transition of Shenzhen enterprises, using mathematical model as the core analysis tool. The dynamic relationship among energy consumption structure, carbon emission and related economic indicators is analyzed by multi-variable grey forecasting model. Based on the actual data of Shenzhen, the model was constructed and verified, and the influencing factors of energy transition and the investment trend of enterprises were discussed. Comprehensively assess carbon management systems and policies, analyze the economic and environmental benefits of innovative initiatives, and provide data-driven decision-making for businesses and policymakers to help Shenzhen and beyond achieve sustainable development goals.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zihan Ma PY - 2025 DA - 2025/05/05 TI - Research on Carbon Management and Energy Transition of Shenzhen Enterprises Based on Multivariate Grey Prediction Model BT - Proceedings of the 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025) PB - Atlantis Press SP - 324 EP - 334 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-702-1_36 DO - 10.2991/978-94-6463-702-1_36 ID - Ma2025 ER -