Carbon reduction and green finance innovations: A scientometric analysis using bibliometrics and DTM model

Abstract

As an emerging financial concept and practice, green finance has the potential to effectively promote carbon reduction. This study proposes a four-stage systematic analysis framework which employs bibliometric theory, Dynamic Topic Models (DTM), and regression analysis. Based on 598 literature from the WOS core database, we comprehensively analyze green finance innovations triggered by carbon reduction. It identifies the basic data characteristics of scientific innovation in this field, the co-citation network of literature and the distribution of research hotspots, and it predicts important themes and directions for future research. The results show that there was a surge in the number of publications in recent years, indicating a new field of research on Carbon Reduction Triggered Green Finance (CRTGF) is gradually forming. China, the United States, and the United Kingdom are the top three countries in terms of publication volume, demonstrating their leading role in the green finance field and their significant contribution to global carbon reduction. The research hotspots and trends in the future mainly boiled down to three aspects: green finance technology innovation for carbon reduction, green finance policy innovation for carbon reduction, and green finance tool innovation for carbon reduction. This study offers a comprehensive overview of CRTGF research, providing researchers with a comprehensive understanding of the field and a framework for future research directions.