基于天长市1 250份问卷数据,运用SPSS进行效度及因子分析,确立公众的“风险认知”、“政府信任”、“公众参与”及“补偿措施”作为公众对邻避设施风险认知可接受度的潜变量,通过文献整理,确定原假设。运用AMOS21.0软件建立结构方程模型,检验原假设是否成立;并分析潜变量与“接受度”之间的关系。研究结果显示,“风险感知”对“接受度”影响系数-0.262;其次是“公众参与”,影响系数-0.242。两者均为负向相关影响。“政府信任”及“补偿措施”对“接受度”正向影响。同时,四个潜变量之间存在一定的正向影响。人口学变量中的年龄与受教育水平在一定程度上对“接受度”有影响。通过对天长市调查研究,分析了公众的风险接受度的影响因素,对影响因子进行量化,能够客观的比较其重要性;同时对政府及相关工作者有一定的启示,根据影响因子与“接受度”之间的关系,因地制宜,制定相关的政策与措施,来降低或避免邻避冲突。
Based on the results of 1250 questionnaires in Tianchang City, Anhui Province, China, four variables including “risk cognition”, “government trust”, “public participation” and “compensation measures” were defined as latent variables to assess the risk acceptability of the public to the urban NIMBY (not in my back yard) facilities using SPSS for validity and factor analysis. The original hypothesis was determined through the literature review. The software AMOS 21.0 was used to establish a structural equation model to test whether the original hypothesis is true or not; and the relationship between each latent variable and “acceptability” was analyzed. The results showed that the "risk recognition" had an influence coefficient of -0.262 on the "acceptability"; and the variable "public participation" had the influence coefficient of -0.242. Both were negative correlation. The variables "Government trust" and "compensation measures" had a positive impact on "acceptability." Besides, there was a certain positive effect among the four latent variables. The age and level of education in the demographic variables had some influence on the "acceptability". Through this study, the influence factors were quantified and the importance of the factors can be compared objectively. The results had provided some information for the government and related workers when they formulate relevant policies and measures in setting up urban NIMBY facilities.
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