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Extending the Theory of Planned Behavior to understand residents’ coping behaviors for reducing the health risks posed by haze pollution

Author

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  • Zhihua Xu

    (Ocean University of China
    Ocean University of China)

  • Jingmei Li

    (Ocean University of China
    Ocean University of China)

  • Jingzhu Shan

    (Ocean University of China)

  • Wensi Zhang

    (Ocean University of China
    Ocean University of China)

Abstract

Haze pollution threatens residents’ health and has become an important public problem in China. With the gradual improvement of public environment consciousness, government failure in the environmental protection might stimulate individual coping behaviors. However, there is no implication about the mechanism differences within individual coping behaviors. This study aimed to understand Beijing residents’ four coping behaviors against health risks of haze pollution including two behaviors of “inverted quarantine,” i.e., wearing a mask when go outside (WM), purchasing air purifier (PAP), and two environmentally friendly behaviors, i.e., purchasing new energy vehicles (PNEV), making a real-time report of air pollution incidents to the government (MRR). We introduced risk perception and income into the theory of planned behavior, and used structural equation model to explore the formation mechanism of coping behaviors. The results showed that the positive effect of intention on behaviors of “inverted quarantine” is relatively higher than these environmentally friendly behaviors. Behavioral intentions are significantly affected by attitude (βWM = 0.24; βPAP = 0.37; βPNEV = 0.45; βMRR = 0.16), subjective norm (βWM = 0.46; βPAP = 0.41; βPNEV = 0.31; βMRR = 0.62) and risk perception (βWM = 0.74; βPAP = 0.73; βPNEV = 1.07; βMRR = 0.74) at 1% level. Furthermore, richer people showed higher level of coping behaviors than the poor, but showed similar or lower level of coping behavioral intentions. The conclusions would be helpful for policy makers to take effective measures to guide public behaviors and promote public participation in air pollution control.

Suggested Citation

  • Zhihua Xu & Jingmei Li & Jingzhu Shan & Wensi Zhang, 2021. "Extending the Theory of Planned Behavior to understand residents’ coping behaviors for reducing the health risks posed by haze pollution," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 2122-2142, February.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:2:d:10.1007_s10668-020-00666-5
    DOI: 10.1007/s10668-020-00666-5
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    1. Thomas Deroche & Yannick Stephan & Tim Woodman & Christine Le Scanff, 2012. "Psychological Mediators of the Sport Injury—Perceived Risk Relationship," Risk Analysis, John Wiley & Sons, vol. 32(1), pages 113-121, January.
    2. Siqi Zheng & Jing Cao & Matthew Kahn & Cong Sun, 2014. "Real Estate Valuation and Cross-Boundary Air Pollution Externalities: Evidence from Chinese Cities," The Journal of Real Estate Finance and Economics, Springer, vol. 48(3), pages 398-414, April.
    3. Ivers, R. & Senserrick, T. & Boufous, S. & Stevenson, M. & Chen, H.-Y. & Woodward, M. & Norton, R., 2009. "Novice drivers' risky driving behavior, risk perception, and crash risk: Findings from the DRIVE study," American Journal of Public Health, American Public Health Association, vol. 99(9), pages 1638-1644.
    4. Jian Mou & Dong-Hee Shin & Jason F. Cohen, 2017. "Trust and risk in consumer acceptance of e-services," Electronic Commerce Research, Springer, vol. 17(2), pages 255-288, June.
    5. Jill Windle & John Rolfe, 2011. "Comparing Responses from Internet and Paper-Based Collection Methods in more Complex Stated Preference Environmental Valuation Surveys," Economic Analysis and Policy, Elsevier, vol. 41(1), pages 83-97, March.
    6. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    7. Luís Loures & Ana Loures & José Nunes & Thomas Panagopoulos, 2015. "Landscape Valuation of Environmental Amenities throughout the Application of Direct and Indirect Methods," Sustainability, MDPI, vol. 7(1), pages 1-17, January.
    8. Sun, Chuanwang & Yuan, Xiang & Yao, Xin, 2016. "Social acceptance towards the air pollution in China: Evidence from public's willingness to pay for smog mitigation," Energy Policy, Elsevier, vol. 92(C), pages 313-324.
    9. J. Carlton & Amber Mase & Cody Knutson & Maria Lemos & Tonya Haigh & Dennis Todey & Linda Prokopy, 2016. "The effects of extreme drought on climate change beliefs, risk perceptions, and adaptation attitudes," Climatic Change, Springer, vol. 135(2), pages 211-226, March.
    10. J. Stuart Carlton & Amber S. Mase & Cody L. Knutson & Maria Carmen Lemos & Tonya Haigh & Dennis P. Todey & Linda S. Prokopy, 2016. "The effects of extreme drought on climate change beliefs, risk perceptions, and adaptation attitudes," Climatic Change, Springer, vol. 135(2), pages 211-226, March.
    11. Sun, Cong & Kahn, Matthew E. & Zheng, Siqi, 2017. "Self-protection investment exacerbates air pollution exposure inequality in urban China," Ecological Economics, Elsevier, vol. 131(C), pages 468-474.
    12. Jeffrey K. Lazo & Jason C. Kinnell & Ann Fisher, 2000. "Expert and Layperson Perceptions of Ecosystem Risk," Risk Analysis, John Wiley & Sons, vol. 20(2), pages 179-194, April.
    13. William J. Burns & Paul Slovic, 2012. "Risk Perception and Behaviors: Anticipating and Responding to Crises," Risk Analysis, John Wiley & Sons, vol. 32(4), pages 579-582, April.
    14. Botetzagias, Iosif & Dima, Andora-Fani & Malesios, Chrisovaladis, 2015. "Extending the Theory of Planned Behavior in the context of recycling: The role of moral norms and of demographic predictors," Resources, Conservation & Recycling, Elsevier, vol. 95(C), pages 58-67.
    15. Han, Heesup, 2015. "Travelers' pro-environmental behavior in a green lodging context: Converging value-belief-norm theory and the theory of planned behavior," Tourism Management, Elsevier, vol. 47(C), pages 164-177.
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    2. Tiantian Gu & Enyang Hao & Lan Ma & Xu Liu & Linxiu Wang, 2022. "Exploring the Determinants of Residents’ Behavior towards Participating in the Sponge-Style Old Community Renewal of China: Extending the Theory of Planned Behavior," Land, MDPI, vol. 11(8), pages 1-19, July.

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