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An Assessment of Social Distancing Obedience Behavior during the COVID-19 Post-Epidemic Period in China: A Cross-Sectional Survey

Author

Listed:
  • Jinghan Yuan

    (School of Management, Wuhan University of Technology, Wuhan 430070, China)

  • Hansong Zou

    (School of Management, Wuhan University of Technology, Wuhan 430070, China)

  • Kefan Xie

    (School of Management, Wuhan University of Technology, Wuhan 430070, China)

  • Maxim A. Dulebenets

    (Department of Civil & Environmental Engineering, Florida A & M University-Florida State University (FAMU-FSU) College of Engineering, Tallahassee, FL 32310-6046, USA)

Abstract

Social distancing plays a critical role in reducing the disease diffusion risk during the COVID-19 pandemic and post-pandemic period. In order to explore the social distancing obedience behavior, a comprehensive survey was conducted in this study by collecting data from 1064 Chinese residents in January 2021 by means of a questionnaire. Structural equation modeling (SEM) and hierarchical linear regression (HLR) analyses were employed to investigate the research hypotheses considered, testing the three influencing factors of social distancing obedience behavior: public guidance, risk perception, and regulation punishment. The reliability and validity of the measurements are demonstrated. The outcomes from the conducted analyses show that the public guidance significantly affects risk perception of individuals, while risk perception imposes a positive impact on social distancing obedience behavior. Moreover, risk perception serves a mediating role in the relationship between the public guidance and social distancing obedience behavior. In addition, regulation punishment positively predicts social distancing obedience behavior and could even have a greater effect by enhancing risk perception. Hence, this study suggests that the relevant authorities and agencies implement strong social distancing policies during the COVID-19 post-pandemic period from the perspective of promoting the public guidance, risk perception, and regulation punishment.

Suggested Citation

  • Jinghan Yuan & Hansong Zou & Kefan Xie & Maxim A. Dulebenets, 2021. "An Assessment of Social Distancing Obedience Behavior during the COVID-19 Post-Epidemic Period in China: A Cross-Sectional Survey," Sustainability, MDPI, vol. 13(14), pages 1-16, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:8091-:d:597677
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    3. Pham Quang Huy & Vu Kien Phuc, 2023. "Big data in relation with business intelligence capabilities and e-commerce during COVID-19 pandemic in accountant’s perspective," Future Business Journal, Springer, vol. 9(1), pages 1-21, December.
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    5. Melinda Timea Fülöp & József Udvaros & Ákos Gubán & Ágnes Sándor, 2022. "Development of Computational Thinking Using Microcontrollers Integrated into OOP (Object-Oriented Programming)," Sustainability, MDPI, vol. 14(12), pages 1-16, June.

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