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Recycling behaviour: Mapping knowledge domain through bibliometrics and text mining.

Alessandro Concari1, Gerjo Kok2, Pim Martens3

  • 1Maastricht Sustainability Institute, Maastricht University, P.O. Box 616, 6200, MD, Maastricht, the Netherlands.

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Summary
This summary is machine-generated.

Research on recycling behavior is rapidly expanding, with most studies published since 2015. This bibliometric analysis maps the knowledge domain, identifying key trends and research networks for waste management.

Keywords:
Bibliometric analysisMapping knowledge domain (MKD)Recycling behaviourSystematic literature review (SLR)Text miningWaste management

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Area of Science:

  • Environmental Science
  • Social Science
  • Information Science

Background:

  • Growing academic literature on human behavior in waste management presents challenges in understanding research trends and networks.
  • An interdisciplinary approach is needed to map the complex knowledge domain of recycling behavior.

Purpose of the Study:

  • To map the knowledge domain of recycling behavior using bibliometric analysis and text mining.
  • To identify current trends, research networks, and emerging hot topics in recycling behavior research.

Main Methods:

  • Bibliometric analysis and text mining of 2061 articles published between 1975 and 2020 from three databases.
  • Interdisciplinary approach utilizing co-word analysis to identify conceptual sub-domains.

Main Results:

  • Significant growth in research, with 60% of papers published between 2015 and 2020, indicating global interest.
  • Leading countries in research are in Europe, North America, and the Commonwealth, with China and Malaysia emerging as key players.
  • Co-word analysis identified key sub-domains: food waste, determinants of recycling behavior, waste management systems, waste electrical and electronic equipment (WEEE), higher education, plastic bags, and local government.

Conclusions:

  • Waste management and human behavior present a universal challenge requiring structured, interdisciplinary approaches at all levels.
  • Future research should explore smart city design, sensor networks, consumer responsibility, and holistic stakeholder analysis.