Dynamic Co-evolution analysis of low-carbon technology innovation compound system of new energy enterprise based on the perspective of sustainable development. (15th May 2022)

• Record Type: Journal Article
• Authors: Yang, Xu; Guo, Yu; Liu, Qiang; Zhang, Deming
• Is Part Of: Journal of cleaner production. Volume 349(2022)
• Publication Date: 2022-05-15
• Subjects: New energy enterprises -- Low-carbon technology innovation composite system (L-CTICS) -- Dynamic co-evolution; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2022.131330
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: The implementation of a low-carbon economy is the key to sustainable economic and social development, and low-carbon technological innovation of new energy enterprises is its driving force and core. Based on the establishment of a new energy enterprise low-carbon technology innovation composite system order index system, it integrates synergy theory and genetic algorithms to build a new energy enterprise low-carbon technology innovation composite system(L-CTICS) dynamic co-evolution model, analyze the order and stability of the composite system, select the statistical data of the low-carbon technology innovation composite system of 12 new energy enterprises from 2010 to 2019, establish the corresponding co-evolution model and perform analysis and calculation. The results show that the model can better reflect the dynamic co-evolution relationship of L-CTICS, and detailing the dynamics of the win-win, double-loss and complementary win-loss among the input, output, and support three subsystems in the composite system. The co-evolution relationship fully demonstrates the co-evolution relationship between subsystems and the stability of the overall composite system, and provides a new research direction for low-carbon technology innovation research for new energy enterprises. Graphical abstract: Dynamic Co-Evolution Analysis of L-CTICS. Image 1 Highlights: Elaborate the low-carbon technology innovation composite system(L-CTICS). Establish an index system for the orderliness of L-CTICS. Construct a dynamic co-evolution model of L-CTICS. Solve the parameters of L-CTICS model by genetic algorithm. Describe the relationship among the input, output and support subsystems of L-CTICS.