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Article

Social Networks, Trust, and Disaster-Risk Perceptions of Rural Residents in a Multi-Disaster Environment: Evidence from Sichuan, China

1
Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, #9, Block 4, Renminnan Road, Chengdu 610041, China
2
University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China
3
China Western Economic Research Center, Southwestern University of Finance and Economics, Chengdu 610074, China
4
College of Management of Sichuan Agricultural University, Chengdu 611130, China
5
Sichuan Center for Rural Development Research, College of Management, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu 611130, China
*
Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(4), 2106; https://doi.org/10.3390/ijerph18042106
Submission received: 29 December 2020 / Revised: 16 February 2021 / Accepted: 17 February 2021 / Published: 22 February 2021

Abstract

Individual perception of disaster risk is not only the product of individual factors, but also the product of social interactions. However, few studies have empirically explored the correlations between rural residents’ flat social networks, trust in pyramidal channels, and disaster-risk perceptions. Taking Sichuan Province—a typical disaster-prone province in China—as an example and using data from 327 rural households in mountainous areas threatened by multiple disasters, this paper measured the level of participants’ disaster-risk perception in the four dimensions of possibility, threat, self-efficacy, and response efficacy. Then, the ordinary least squares method was applied to probe the correlations between social networks, trust, and residents’ disaster-risk perception. The results revealed four main findings. (1) Compared with scores relating to comprehensive disaster-risk perception, participants had lower perception scores relating to possibility and threat, and higher perception scores relating to self-efficacy and response efficacy. (2) The carrier characteristics of their social networks significantly affected rural residents’ perceived levels of disaster risk, while the background characteristics did not. (3) Different dimensions of trust had distinct effects on rural residents’ disaster-risk perceptions. (4) Compared with social network variables, trust was more closely related to the perceived level of disaster risks, which was especially reflected in the impact on self-efficacy, response efficacy, and comprehensive perception. The findings of this study deepen understanding of the relationship between social networks, trust, and disaster-risk perceptions of rural residents in mountainous areas threatened by multiple disasters, providing enlightenment for building resilient disaster-prevention systems in the community.
Keywords: social networks; trust; risk perception; multiple disasters; China social networks; trust; risk perception; multiple disasters; China

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MDPI and ACS Style

Xue, K.; Guo, S.; Liu, Y.; Liu, S.; Xu, D. Social Networks, Trust, and Disaster-Risk Perceptions of Rural Residents in a Multi-Disaster Environment: Evidence from Sichuan, China. Int. J. Environ. Res. Public Health 2021, 18, 2106. https://doi.org/10.3390/ijerph18042106

AMA Style

Xue K, Guo S, Liu Y, Liu S, Xu D. Social Networks, Trust, and Disaster-Risk Perceptions of Rural Residents in a Multi-Disaster Environment: Evidence from Sichuan, China. International Journal of Environmental Research and Public Health. 2021; 18(4):2106. https://doi.org/10.3390/ijerph18042106

Chicago/Turabian Style

Xue, Kaijing, Shili Guo, Yi Liu, Shaoquan Liu, and Dingde Xu. 2021. "Social Networks, Trust, and Disaster-Risk Perceptions of Rural Residents in a Multi-Disaster Environment: Evidence from Sichuan, China" International Journal of Environmental Research and Public Health 18, no. 4: 2106. https://doi.org/10.3390/ijerph18042106

APA Style

Xue, K., Guo, S., Liu, Y., Liu, S., & Xu, D. (2021). Social Networks, Trust, and Disaster-Risk Perceptions of Rural Residents in a Multi-Disaster Environment: Evidence from Sichuan, China. International Journal of Environmental Research and Public Health, 18(4), 2106. https://doi.org/10.3390/ijerph18042106

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