The influence of trust on the public’s environmental risk perception: evidence from China

References

• Aghdam, N., M. Ashtiani, and M. Azgomi. 2020. “An Uncertainty-Aware Computational Trust Model Considering the Co-Existence of Trust and Distrust in Social Networks.” Information Sciences 513: 465–503. doi:10.1016/j.ins.2019.10.067
   Web of Science ®Google Scholar
• Agho, K., G. Stevens, M. Taylor, M. Barr, and B. Raphael. 2010. “Population Risk Perceptions of Global Warming in Australia.” Environmental Research 110 (8): 756–763. doi:10.1016/j.envres.2010.09.007
   PubMed Web of Science ®Google Scholar
• Amorim, W. S., I. B. Valduga, J. M. P. Ribeiro, V. G. Williamson, G. E. Krauser, and M. K. Magtoto. 2018. “The Nexus Between Water, Energy, and Food in the Context of the Global Risks: An Analysis of the Interactions Between Food, Water, and Energy Security.” Environmental Impact Assessment Review 72: 1–11. doi:10.1016/j.eiar.2018.05.002
   Web of Science ®Google Scholar
• Beck, U., and M. Ritter. 1992. “Risk Society: Towards a new Modernity.” Society Forces 73 (1): 432–436. https://doi.org/10.2307/3341155.
   Web of Science ®Google Scholar
• Carlton, S., and S. Jacobson. 2013. “Climate Change and Coastal Environmental Risk Perceptions in Florida.” Environmental Management 130 (1): 32–39. https://doi.org/10.1016/j.jenvman.2013.08.038.
   Google Scholar
• Cerny, B. A., and H. F. Kaiser. 1977. “A Study of a Measure of Sampling Adequacy for Factor-Analytic Correlation Matrices.” Multivariate Behavioral Research 12 (1): 43–47. doi:10.1207/s15327906mbr1201_3
   PubMed Web of Science ®Google Scholar
• Dominicis, S., F. Fornara, U. Cancellieri, C. Twigger-Ross, and M. Bonaiuto. 2015. “We are at Risk, and so What? Place Attachment, Environmental Risk Perceptions and Preventive Coping Behaviours.” Journal of Environmental Psychology 43: 66–78. doi:10.1016/j.jenvp.2015.05.010
   Web of Science ®Google Scholar
• Ensor, J. E., K. E. Abernethy, E. T. Hoddy, S. Aswani, S. Albert, I. Vaccaro, J. J. Benedict, and D. J. Beare. 2018. “Variation in Perception of Environmental Change in Nine Solomon Islands Communities: Implications for Securing Fairness in Community-Based Adaptation.” Regional Environmental Change 18: 1131–1143. doi:10.1007/s10113-017-1242-1
   Web of Science ®Google Scholar
• Fu, J., G. Xiao, L. Guo, and C. Wu. 2018. “Measuring the Dynamic Efficiency of Regional Industrial Green Transformation in China.” Sustainability 10 (3): 628. doi:10.3390/su10030628
   Web of Science ®Google Scholar
• Gattig, A., and L. Hendrickx. 2007. “Judgmental Discounting and Environmental Risk Perception: Dimensional Similarities, Domain Differences, and Implications for Sustainability.” Journal of Social Issues 63 (1): 21–39. doi:10.1111/j.1540-4560.2007.00494.x
   Web of Science ®Google Scholar
• Guo, Y., Y. Li, and L. Chen. 2020. “After Fukushima: How Do News Media Impact Japanese Public’s Risk Perception and Anxiety Regarding Nuclear Radiation.” Environmental Communication 14 (1): 97–111. doi:10.1080/17524032.2019.1614966
   Google Scholar
• Guo, Q., and K. Luo. 2021. “The Spatial Convergence and Drivers of Environmental Efficiency Under Haze Constraints - Evidence from China.” Environmental Impact Assessment Review 86: 106513. doi:10.1016/j.eiar.2020.106513
   Web of Science ®Google Scholar
• Herek, G. M., J. P. Capitanio, and K. F. Widaman. 2003. “Stigma, Social Risk, and Health Policy: Public Attitudes Toward HIV Surveillance Policies and the Social Construction of Illness.” Health Psychology 22 (5): 533–540. doi:10.1037/0278-6133.22.5.533
   PubMed Web of Science ®Google Scholar
• Huang, Q. 2017. “Public Trust in Local Governments and Environmental Risks in China: The Effects of Media use, Perceived Dread, and Perceived Inequality.” Chinese Chin Journal Communication 11 (1): 1–17. https://doi.org/10.1080/17544750.2017.1328452.
   Web of Science ®Google Scholar
• Jones, N., C. Malesios, E. Ioannidou, R. Kanakaraki, F. Kazoli, and P. Dimitrakopoulos. 2018. “Understanding Perceptions of the Social Impacts of Protected Areas: Evidence from Three NATURA 2000 Sites in Greece.” Environmental Impact Assessment Review 73: 80–89. doi:10.1016/j.eiar.2018.07.006
   Web of Science ®Google Scholar
• Kasperson, R. E., O. Renn, P. Slovic, H. S. Brown, J. Emel, and R. Goble. 1988. “The Social Amplification of Risk: A Conceptual Framework.” Risk Analysis 8 (2): 177–187. doi:10.1111/j.1539-6924.1988.tb01168.x
   Web of Science ®Google Scholar
• Kollmuss, A., and J. Agyeman. 2002. “Mind the Gap: Why do People act Environmentally and What are the Barriers to pro-Environmental Behavior?” Environmental Education Research 8 (3): 239–260. doi:10.1080/13504620220145401
   Google Scholar
• Lange, B., and A. Gouldson. 2010. “Trust-based Environmental Regulation.” Science of the Total Environment 408 (22): 5235–5243. doi:10.1016/j.scitotenv.2010.07.052
   PubMed Web of Science ®Google Scholar
• Lin, J., Y. Zhang, L. Gao, and Y. Liu. 2005. “Trust, Ownership, and Autonomy: Challenges Facing Private Higher Education in China.” China Review 5 (1): 61–81. https://doi.org/10.1525/as.2005.45.2.322.
   Google Scholar
• Liu, H., and J. Raine. 2015. “Why is There Less Public Trust in Local Government Than in Central Government in China?” International Journal of Public Administration 81 (1): 1–12. https://doi.org/10.1080/01900692.2015.1004090.
   Google Scholar
• Ma, J., C. Li, M.-P. Kwan, and Y. Chai. 2018. “A Multilevel Analysis of Perceived Noise Pollution, Geographic Contexts and Mental Health in Beijing.” International Journal of Environmental Research and Public Health 15 (7): 1479. doi:10.3390/ijerph15071479
   PubMed Web of Science ®Google Scholar
• Maestas, C., J. Chattopadhyay, S. Leland, and J. Piatak. 2018. “Fearing Food: The Influence of Risk Perceptions on Public Preferences for Uniform and Centralized Risk Regulation.” Policy Studies Journal 11: 1–22. https://doi.org/10.1111/psj.12276.
   Google Scholar
• Mao, H., Y. Fu, G. Cao, and S. Chen. 2022. “Contract Farming, Social Trust, and Cleaner Production Behavior: Field Evidence from Broiler Farmers in China.” Environmental Science Pollution Research 29: 4690–4709. https://doi.org/10.1007/s11356-021-15934-8.
   Google Scholar
• Mian, M. M., X. Zeng, A. N. B. Nasry, and S. M. Z. F. Al-Hamadani. 2017. “Municipal Solid Waste Management in China: A Comparative Analysis.” Journal of Material Cycles and Waste Management 19 (3): 1127–1135. doi:10.1007/s10163-016-0509-9
   Web of Science ®Google Scholar
• Pan, A. 2016. “Study on Mobility-Disadvantage Group’ Risk Perception and Coping Behaviors of Abrupt Geological Hazards in Coastal Rural Area of China.” Environmental Research 148: 574–581. doi:10.1016/j.envres.2016.04.016
   PubMed Web of Science ®Google Scholar
• Pan, Z., L. Liu, S. Bai, and Q. Ma. 2021. “Can the Social Trust Promote Corporate Green Innovation? Evidence from China.” Environmental Science and Pollution Research 28: 52157–52173. doi:10.1007/s11356-021-14293-8
   PubMed Web of Science ®Google Scholar
• Pavlou, P. 2003. “Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model.” International Journal of Electronic Commerce 7 (3): 101–134. doi:10.1080/10864415.2003.11044275
   Web of Science ®Google Scholar
• Ross, V., K. Fielding, and W. Louis. 2014. “Social Trust, Risk Perceptions and Public Acceptance of Recycled Water: Testing a Social-Psychological Model.” Environmental Management 137 (4): 61–68. https://doi.org/10.1016/j.jenvman.2014.01.039.
   Google Scholar
• Rousseau, D. M., S. B. Sitkin, R. S. Burt, and C. Camerer. 1998. “Not So Different After All: A Cross-Discipline View of Trust.” Academy of Management Review 23 (3): 393–404. doi:10.5465/amr.1998.926617
   Web of Science ®Google Scholar
• Rubaltelli, E., S. Scrimin, U. Moscardino, G. Priolo, and G. Buodo. 2018. “Media Exposure to Terrorism and People's Risk Perception: The Role of Environmental Sensitivity and Psychophysiological Response to Stress.” British Journal of Psychology 109 (4): 656–673. doi:10.1111/bjop.12292
   PubMed Web of Science ®Google Scholar
• Rutsaert, P., Z. Pieniak, Á Regan, Á McConnon, and W. Verbeke. 2013. “Consumer Interest in Receiving Information Through Social Media About the Risks of Pesticide Residues.” Food Control 34 (2): 386–392. doi:10.1016/j.foodcont.2013.04.030
   Web of Science ®Google Scholar
• Siegrist, M., and G. Cvetkovich. 2010a. “Better Negative Than Positive? Evidence of a Bias for Negative Information About Possible Health Dangers. Risk Analysis 21 (1): 199–206. doi:10.1111/0272-4332.211102.
   Google Scholar
• Siegrist, M., and G. Cvetkovich. 2010b. “Perception of Hazards: The Role of Social Trust and Knowledge.” Risk Analysis 20 (5): 713–720. doi:10.1111/0272-4332.205064
   Google Scholar
• Siegrist, M., P. Hübner, and C. Hartmann. 2018. “Risk Prioritization in the Food Domain Using Deliberative and Survey Methods: Differences Between Experts and Laypeople.” Risk Analysis 38 (3): 504–524. doi:10.1111/risa.12857
   PubMed Web of Science ®Google Scholar
• Slovic, P. 1987. “Perception of Risk.” Science 236 (4799): 280. doi:10.1126/science.3563507
   PubMed Web of Science ®Google Scholar
• Smith, E. K., and A. Mayer. 2018. “A Social Trap for the Climate? Collective Action, Trust and Climate Change Risk Perception in 35 Countries.” Global Environmental Change 49: 140–153. doi:10.1016/j.gloenvcha.2018.02.014
   Web of Science ®Google Scholar
• Thaker, J., P. Howe, A. Leiserowitz, and E. Maibach. 2019. “Perceived Collective Efficacy and Trust in Government Influence Public Engagement with Climate Change-Related Water Conservation Policies.” Environmental Communication 13: 681–699. doi:10.1080/17524032.2018.1438302
   Web of Science ®Google Scholar
• Thomas, M., N. Pidgeon, L. Whitmarsh, and R. Ballinger. 2015. “Mental Models of sea-Level Change: A Mixed Methods Analysis on the Severn Estuary, UK.” Global Environmental Change 33: 71–82. doi:10.1016/j.gloenvcha.2015.04.009
   Web of Science ®Google Scholar
• Wei, C., X. Sun, J. Liu, C. Zhou, and G. Xue. 2016. “High Power Distance Enhances Employees’ Preference for Likable Managers: A Resource Dependency Perspective.” Frontiers in Psychology 7: 2066. https://doi.org/10.3389/fpsyg.2016.02066.
   PubMed Web of Science ®Google Scholar
• World Economic Forum. 2016. The Golobal Risks Report. Accessed 30 March. 2020. https://www.weforum.org/reports/the-global-risks-report-2016.pdf.
   Google Scholar
• World Economic Forum. 2020. The Golobal Risks Report. Accessed 30 March 2020. http://www3.weforum.org/docs/WEF_Global_Risk_Report_2020.pdf.
   Google Scholar
• World Economic Forum. 2021. The Golobal Risks Report. Accessed 25 May 2021. http://www3.weforum.org/docs/WEF_The_Global_Risks_Report_2021.pdf.
   Google Scholar
• Xiao, C., and D. Hong. 2018. “Gender Differences in Environmental Behaviors among the Chinese Public: Model of Mediation and Moderation.” Environment and Behavior 50 (9): 975–996. doi:10.1177/0013916517723126
   Web of Science ®Google Scholar
• Yang, X., L. Geng, and K. Zhou. 2020. “Environmental Pollution, Income Growth, and Subjective Well-Being: Regional and Individual Evidence from China.” Environmental Science and Pollution Research 27: 34211–34222. doi:10.1007/s11356-020-09678-0
   PubMed Web of Science ®Google Scholar
• Yang, X., L. Geng, and K. Zhou. 2021. “The Construction and Examination of Social Vulnerability and its Effects on PM2.5 Globally: Combining Spatial Econometric Modeling and Geographically Weighted Regression.” Environmental Science and Pollution Research 28: 26732–26746. doi:10.1007/s11356-021-12508-6
   PubMed Web of Science ®Google Scholar
• Yang, J. Z., and J. Huang. 2019. “Seeking for Your Own Sake: Chinese Citizens’ Motivations for Information Seeking About Air Pollution.” Environmental Communication 13: 603–616. doi:10.1080/17524032.2017.1397041
   Web of Science ®Google Scholar
• Zhang, W., Z. Deng, R. Evans, F. Xiang, Q. Ye, and R. Zeng. 2018. “Social Media Landscape of the Tertiary Referral Hospitals in China: Observational Descriptive Study.” Journal of Medical Internet Research 20 (8): e249. doi:10.2196/jmir.9607
   PubMed Web of Science ®Google Scholar
• Zhong, X., and K.-H. Yuan. 2011. “Bias and Efficiency in Structural Equation Modeling: Maximum Likelihood Versus Robust Methods.” Multivariate Behavioral Research 46 (2): 229–265. doi:10.1080/00273171.2011.558736
   PubMed Web of Science ®Google Scholar