The secrets to high-level green technology innovation of China's waste power battery recycling enterprises

Green technology innovation (GTI) in China's waste power battery recycling (WPBR) sector is a key driver for sustainable resource management, environmental protection, and economic prosperity. Using the PSR-BN-GPT-4 model and multi-source data, this study explores China's WPBRenterprises' high-level GTI mechanism. The research concludes that (1) Compared to traditional expert knowledge, the Bayesian network model based on GPT-4 exhibits superior causal reasoning capability. (2) The current level of GTI in China's WPBR industry is relatively low, with the probability of high-level GTI being only 19%. (3) Key factors identified include incentives like R&D investment, bottlenecks such as green finance policy tools, and hindrances like government procurement policy tools. (4) "Supporting Infrastructure Policy Tools - Recycling Outlets Number - Market Potential -Green Technology Innovation" and "Green Finance Policy Tools - R&D Investment - Green Technology Innovation" are two critical paths for enhancing the high-level development of GTI in WPBR enterprises. The study offers valuable insights for governmental, industrial, and corporate decision-making regarding GTI in battery recycling.