Abstract
This study provides an integrative analysis of how Environmental, Social, and Governance (ESG) commitments influence innovation within China’s corporate sector, incorporating a dataset of 5,102 companies. Recognizing the intersection of environmental, cultural, economic, and social dimensions in sustainability, the research employs Bayesian Linear Regression and Neural Networks to identify patterns linking ESG strategies to innovation. Our findings demonstrate that companies with strong environmental commitments are not only more innovative but also align with global sustainability standards, emphasizing the role of transparent governance in fostering innovation. The study highlights the synergy between strategic diversification and innovation, suggesting an optimal balance boosts innovative capabilities. By merging traditional accounting methods with advanced data analytics, we offer a comprehensive view of the environmental and financial impacts of ESG-driven innovations, contributing to a deeper understanding of sustainable corporate practices across different cultural and geographical contexts.
Presenters
Lemuel DavidStudent, Current PhD Candidate in Environmental Social Governance at Xi'an Jiaotong University, China., Xi'an Jiaotong University, Shanxi, China
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
ESG,Sustainability, Innovation, Quantitative, China
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