In the face of the rapid increase of carbon emissions, climate warming, and an epidemic situation, low-carbon economy is attracting growing attention. Using bibliometric analysis and machine learning methods, the paper conducts a systematic review in the low-carbon economy. Using the Web of Science Core Collection database, 1433 articles from 1990 to 2021 were selected for review. We find that the trajectories of the low-carbon economy research can be divided into four phases: exploration, fermentation, rising, and flourishing. The low-carbon economy research can be categorized into five clusters: low-carbon energy policy, carbon footprint and carbon trading, energy-economy-environment system, energy efficiency and its decomposition, and carbon emission drivers. The findings of this review study shed light on the role and effects of low-carbon economic policies on energy futures.
Keywords: Bibliometrics; Energy policy; Low-carbon economy; Machine learning; Systematic review.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.