Construction of Double Chain Fusion Model of Industrial and Innovation Chain in Power Industry

This paper analyzes the characteristics of global industrial and supply chains in the post-pandemic era, noting their decentralization, multi-centricity, and localization, alongside heightened concerns about energy security and trade protection. It emphasizes the need to integrate industrial and innovation chains, particularly in the energy sector. Using an evolutionary game model, the study investigates the behaviors and stability of enterprises and academic institutions in both spontaneous and power grid-guided integration paths. Findings suggest that spontaneous integration can lead to stable outcomes of either collaborative innovation or withdrawal, influenced by initial conditions and innovation depth. Conversely, the power grid-guided approach, bolstered by subsidies and support measures, significantly enhances the likelihood of collaboration. Overall, the study concludes that the power grid-guided path is more effective in fostering cooperative innovation between enterprises and academic institutions, providing valuable insights for the energy and power industry's chain integration.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icpea63589.2024.10784575
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Construction of Double Chain Fusion Model of Industrial and Innovation Chain in Power Industry

Yuhan Xing, X.H. Liu, Xin Li, Yingxuan Yang et al.
Smart Grid and Power Systems
article

Construction of Double Chain Fusion Model of Industrial and Innovation Chain in Power Industry

Yuhan Xing, X.H. Liu, Xin Li, Yingxuan Yang, Bo Yang
article en

Abstract

This paper analyzes the characteristics of global industrial and supply chains in the post-pandemic era, noting their decentralization, multi-centricity, and localization, alongside heightened concerns about energy security and trade protection. It emphasizes the need to integrate industrial and innovation chains, particularly in the energy sector. Using an evolutionary game model, the study investigates the behaviors and stability of enterprises and academic institutions in both spontaneous and power grid-guided integration paths. Findings suggest that spontaneous integration can lead to stable outcomes of either collaborative innovation or withdrawal, influenced by initial conditions and innovation depth. Conversely, the power grid-guided approach, bolstered by subsidies and support measures, significantly enhances the likelihood of collaboration. Overall, the study concludes that the power grid-guided path is more effective in fostering cooperative innovation between enterprises and academic institutions, providing valuable insights for the energy and power industry's chain integration.

Shanghai Electric (China) (CN), Institute of Economics (CN), Northeastern University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 78%
Smart Grid and Power Systems
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