How Can Enterprises’ Green Innovation Persist? A Study Based on Explainable Machine Learning

作者：Huaping Zhao, Jian Wang, Yuan Yuan · 发表于：Sustainability · 年份：2025 · DOI：10.3390/su172210071 · 被引用次数：1 · 研究领域：Environmental Sustainability in Business、Energy, Environment, Economic Growth、Business and Economic Development

Based on the strategy tripod framework, this study identifies 27 feature variables that influence the persistence of enterprise green innovation. In addition, utilizing data from Chinese listed enterprises between 2012 and 2022, this study employs machine learning models and the SHAP method to analyze the driving factors and their underlying mechanisms. The findings indicate that the persistence of enterprise green innovation results from multiple factors, among which enterprise size, R&D investment, and technological utilization capability rank as the top three most important determinants. Enterprise size has a positive linear effect on the persistence of green innovation, while market competition has a negative linear effect. R&D investment, technological utilization capability, enterprise green culture, financing capacity, and integration capability all show non-linearly positive effects. The conclusions provide theoretical guidance and micro-level evidence for promoting high-quality enterprise green development in enterprises and supporting governmental policy formulation.