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Carbon Footprint Research Based on Input-Output Model-A Global Scientometric Visualization Analysis.

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Input-output analysis (IOA) is a key tool for assessing carbon footprints (CF) from human activities. This study maps the research landscape, revealing trends toward microscopic analysis and future directions in supply-chain and driver-factor studies.

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Area of Science:

  • Environmental Science
  • Economics
  • Climate Change Research

Background:

  • Reducing human impact on climate and adapting to global warming are urgent global priorities.
  • Carbon footprint (CF) assessment is crucial for understanding climate change threats.
  • Input-output analysis (IOA) is a widely adopted method for tracing carbon footprints in economic activities.

Purpose of the Study:

  • To systematically analyze the knowledge structure of research applying the input-output analysis (IOA) model to carbon footprint (CF) assessment.
  • To identify frontier trends and research hotspots in the field of IOA-based CF studies.

Main Methods:

  • Scientometric visualization analysis was employed to examine publications from 2008 to 2021.
  • The study mapped the academic network of countries, authors, and institutions.
  • Classified classic studies into literature reviews, database applications, and CF accounting.

Main Results:

  • Published articles show a significant increase in two stages between 2008 and 2021.
  • A complex network of international collaboration among researchers and institutions was identified.
  • Research is increasingly focusing on microscopic scales and detailed model applications.

Conclusions:

  • The field of IOA-based CF research has matured, with a growing body of work.
  • Future research is likely to emphasize supply-chain analysis and driver-factor analysis for more granular insights.
  • Understanding these trends is vital for advancing climate change mitigation strategies.