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Carbon emissions and environmental management based on Big Data and Streaming Data: A bibliometric analysis
Yuan Su1, Yanni Yu1, Ning Zhang1
1Institute of Blue and Green Development, Shandong University, Weihai 264200, PR China.
The Science of the Total Environment
|May 24, 2020
Summary
Big Data and Streaming Data are emerging tools for climate change research, aiding environmental management and policy assessment. This study analyzes publications on carbon emissions, revealing key research areas and global contributions.
Area of Science:
- Environmental Science and Big Data Analytics
- Climate Change Research
- Environmental Policy and Management
Background:
- Climate change and environmental management are critical global concerns.
- Big Data presents a novel platform for assessing environmental governance and policies.
- Limited understanding exists regarding Big Data's application in climate change and environmental management research.
Purpose of the Study:
- To systematically evaluate publications on carbon emissions and environmental management utilizing Big Data and Streaming Data.
- To identify emerging research trends, key contributors, and thematic clusters within this multidisciplinary field.
Main Methods:
- Bibliometric analysis and network analysis of 274 selected articles.
- Utilized R package and VOSviewer software for data analysis.
- Included citation, co-citation, and co-word analysis.
Main Results:
- Carbon emissions and environmental management using Big Data is an emerging, multidisciplinary topic applied across computer science, supply chain, transportation, and policy evaluation.
- Research is prominent among major economies, with significant contributions from European, American, and Chinese scholars.
- Primary research categories include industry-specific studies, air pollution governance, technological innovation, and low-carbon transportation.
Conclusions:
- Big Data and Streaming Data are integral to modern climate change and environmental management research.
- Future research should deepen practical and modeling analyses for enhanced environmental policy assessment.
- The field shows significant international collaboration and diverse application areas.
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