앙상블 모델을 활용한 기업의 환경혁신 결정요인 분석

As environmental issues become increasingly severe, the significance of firm environmental innovation activities has grown in effectively addressing these challenges. It is essential to understand the motivations and influencing factors that lead firms to adopt environmental innovation activities. This study aims to comprehensively explore the factors influencing firms' decisions on environmental innovation. We used a machine learning-based ensemble model, specifically random forest, to comprehensively explore the factors affecting environmental innovation decisions and examine the detailed relationships between these key factors and environmental innovation decisions. The analysis revealed that internal factors such as firm size and age, human and financial resources, technological capabilities, and digital transformation capability, along with external factors such as climate change-related factors, market conditions, and government support policies and regulations, are identified as key factors influencing firms' environmental innovation decisions. These results support the decision-making of firm managers and policymakers who seek to improve environmental issues by actively promoting firms' environmental innovation.