Carbon emissions and environmental management based on Big Data and Streaming Data: A bibliometric analysis

Abstract

Climate change and environmental management are issues of global concern. The advent of the era of Big Data has created a new research platform for the assessment of environmental governance and policies. However, little is known about Big Data application to climate change and environmental management research. This paper adopts bibliometric analysis in conjunction with network analysis to systematically evaluate the publications on carbon emissions and environmental management based on Big Data and Streaming Data using R package and VOSviewer software. The analysis involves 274 articles after rigorous screening and includes citation analysis, co-citation analysis, and co-word analysis. Main findings include (1) Carbon emissions and environmental management based on big data and streaming data is an emerging multidisciplinary research topic, which has been applied in the fields of computer science, supply chain design, transportation, carbon price assessment, environmental policy evaluation, and CO2 emissions reduction. (2) This field has attracted the attention of nations which are major contributors to the world economy. In particular, European and American scholars have made the main contributions to this topic, and Chinese researchers have also had great impact. (3) The research content of this topic is primarily divided into four categories, including empirical studies of specific industries, air pollution governance, technological innovation, and low-carbon transportation. Our findings suggest that future research should bring greater depth of practical and modeling analysis to environmental policy assessment based on Big Data.