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Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
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A multilevel perspective to explain recycling behaviour in communities.

Carmen Tabernero1, Bernardo Hernández2, Esther Cuadrado1

  • 1University of Córdoba, Department of Psychology, Avenida San Alberto Magno s/n, 14004 Córdoba, Spain.

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Understanding recycling behavior requires looking beyond individuals. This study reveals that community factors and service quality significantly influence recycling rates, offering insights for environmental management strategies.

Keywords:
Community efficacyMultilevelRecycling behaviourSatisfaction with service qualitySelf-efficacy

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Area of Science:

  • Environmental Science
  • Sociology
  • Behavioral Science

Background:

  • Previous research on environmentally responsible behavior primarily focused on individual factors, limiting applicability to environmental management.
  • A gap exists in understanding how organizational and collective variables influence waste management and recycling behavior.

Purpose of the Study:

  • To develop a multilevel model identifying predictive variables for recycling behavior.
  • To investigate the combined influence of individual, collective, and organizational factors on waste management.
  • To provide insights for organizations aiming to increase community recycling rates.

Main Methods:

  • A multilevel model was developed to analyze recycling behavior.
  • Data were collected from 1501 residents across 55 localities.
  • Individual (age, gender, education, self-efficacy, behavior), organizational (service satisfaction), and collective (community rates, population, efficacy) factors were analyzed.

Main Results:

  • Significant variability in recycling behavior was found within and between localities.
  • Interactions between individual and collective variables predicted recycling behavior across different community types.
  • Self-efficacy's impact on recycling is stronger in communities with weaker collective efficacy.

Conclusions:

  • Recycling behavior is influenced by a complex interplay of individual, organizational, and community factors.
  • Environmental management strategies should consider multilevel influences to enhance recycling rates.
  • Findings can inform policies promoting environmentally responsible behavior in citizens.