Research on relationships between community participation, protective action and socioeconomic status

doi:10.16265/j.cnki.issn1003-3033.2018.10.001

Abstract

Abstract: In order to improve the effectiveness of propaganda and education in the context of hazardous chemicals and enhance the willingness of community residents to adopt protective action, the relationship between community participation willingness and protective behavior willingness was studied, the moderated role of socioeconomic status also was examined. Two forms of community participation including ritual participation and substantive participation and six indexes of socioeconomic status including income, education, political affiliation, household registration, real estate and hosing ownership of present residence were identified. 521 effective copies of a questionnaire from Beijing were collected and analyzed by using the SEM method. The results show that there is a positive correlation between community participation awareness and protection behavior intention, and the influence relationship between ritual participation and protection behavior intention is more obvious, although there is stronger willingness of substantial participation, and that the socioeconomic status has a negative moderate role in the correlation.

Key words: community participation, protection behavior intention, socioeconomic status, risk communication, hazardous chemicals

CLC Number:

X915.2

LI Xiaowei, LIU Tiezhong, LIU Xia, ZHANG Hubo. Research on relationships between community participation, protective action and socioeconomic status[J]. China Safety Science Journal, 2018, 28(10): 1-6.

References

[1] LINDELL M K, PERRY R W. The protective action decision model: theoretical modifications and additional evidence[J]. Risk Analysis, 2012, 32(4): 616-632.
[2] JEANNETTE S, CHELSEA W. Tsunami warning message interpretation and sense making: focus group insights[J]. Weather Climate and Society, 2016, 8(4): 389-398.
[3] MORSS R E, MULDER K J, LAZO J K, et al. How do people perceive, understand, and anticipate responding to flash flood risks and warnings? results from a public survey in Boulder, Colorado, USA [J].Journal of Hydrology, 2016, 541(SI): 649-664.
[4] CAO Yinghui, BORUFF B J, MCNEILL I M. Is a picture worth a thousand words? evaluating the effectiveness of maps for delivering wildfire warning information[J]. International Journal of Disaster Risk Reduction, 2016, 19: 179-196.
[5] 王顺, 包存宽. 城市邻避设施规划决策的公众参与研究:基于参与兴趣、介入时机和行动尺度的分析[J]. 城市发展研究, 2015, 22(7): 76-81.
WANG Shun, BAO Cunkuan. Research on the public participation in urban NIMBY facilities plan: based on the analysis of participant interest, timing and organization[J]. Urban Studies,2015, 22(7): 76-81.
[6] 周永根, 李瑞龙. 日本基于社区的灾害风险治理模式及其启示[J]. 城市发展研究, 2017, 24(5): 105-111.
ZHOU Yonggen, LI Ruilong. Community based disaster risk governance and implications in japan[J]. Urban Studies, 2017, 24(5): 105-111.
[7] 晋良海, 龚润, 陈述,等.认知结构变量对起重作业人员违章行为意向的影响[J].中国安全科学学报,2018,28(1): 8-13.
JIN Lianghai, GONG Run, CHEN Shu, et al. Influences of cognitive structure variables on lifting workers' intentions to violate[J]. China Safety Science Journal,2018,28(1): 8-13.
[8] NAHAYO L, MUPENZI C, KAYIRANGA A, et al. Early alert and community involvement: approach for disaster risk reduction in Rwanda[J]. Natural Hazards, 2017, 86(2): 1-13.
[9] 杨敏. 公民参与、群众参与与社区参与[J]. 社会,2005(5): 78-95.
YANG Min. Citizen participation, mass participation and community participation[J]. Society, 2005(5): 78-95.
[10] 温忠麟, 侯杰泰, 马什·赫伯特. 结构方程模型检验:拟合指数与卡方准则[J]. 心理学报, 2004, 36(2): 186-194.
WEN Zhonglin, HOU Jietai, HERBERT M. Structural equation model testing: cutoff criteria for goodness of fit indices and chi-square test[J].Acta Psychologica Sinica, 2004, 36(2): 186-194.