Spatial distribution of the public's risk perception for air pollution: A nationwide study in China
Spatial distribution of the public's risk perception for air pollution: A nationwide study in China
复制标题
公众空气污染风险感知的空间分布：中国的一项全国性研究
DOI：
10.1016/j.scitotenv.2018.11.232
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发表时间：
2019-03-10
影响因子：
9.8
通讯作者：
Ma, Zongwei
中科院分区：
文献类型：
--
作者：
Pu, Sisi;Shao, Zhijuan;Ma, Zongwei
严重的空气污染问题引起了中国公众的担忧。风险认知是公众对空气污染关注度的最重要指标之一。然而，很少有研究探讨风险感知的空间分布。为了填补这一空白，采用心理测量范式方法来评估公众对空气污染的风险认知。 2016年12月至2017年2月在全国范围内进行了实证研究，共回收问卷10653份。根据一系列筛选策略，纳入了9744份合格问卷作为样本，覆盖了中国31个省份（港澳台地区未纳入本研究）。我们发现，45%的受访者对当前的空气质量不满意，不少受访者对空气污染非常关注（76%），并担心暴露于空气污染的有害后果（86%）。不同地区公众对空气污染的风险认知和态度存在显着差异：东北地区、北部沿海地区、东部沿海地区和黄河中游地区的受访者认为空气污染风险较高，对空气质量的满意度较低；公众对政府的信任度从沿海地区向内陆地区不断增强。此外，采用层次线性模型（HLM）探讨人口、环境和经济因素对公众风险认知和空气污染态度的影响。在此基础上，识别出空气污染敏感人群的特征。更重要的是，我们发现PM2.5对感知风险因子（PR）有正向影响，并且可以加强PR与空气质量满意度（SAQ）之间的正相关性。最后讨论了这些结果背后的政策含义，为政策制定者和后续研究人员提供参考并奠定基础。 (C) 2018 年由 Elsevier B.V. 出版
Severe air pollution problems have led to a rise in the Chinese public's concern. Risk perception is one of the most important indicators of the public's concern about air pollution. However, there existed few studies exploring the spatial distribution of risk perception. To fill the gap, psychometric paradigm methods was adopted to assess the public's risk perception of air pollution. A nationwide empirical study was conducted from December 2016 to February 2017 and 10,653 completed questionnaires were collected. According to a series of screening strategies, 9744 qualified questionnaires were included as a sample, which covered 31 China provinces (Hong Kong, Macao and Taiwan were not included in this study).We found that 45% of the respondents were dissatisfied with the current air quality, many respondents concerned a lot about air pollution (76%) and worried about the harmful consequences of being exposed to air pollution (86%). There was significant difference in the public's risk perception and attitude toward air pollution among different regions: the respondents in the northeast region, northern coastal region, eastern coastal region and Middle Yellow river region perceived higher air pollution risk and lower satisfaction with air quality than other regions; and the public's trust in the government increased from coastal regions to inland regions. In addition, the hierarchical linear model (HLM) was used to explore the effects of demographic, environmental and economic factors on public risk perception and attitude toward air pollution. Based on this, the characteristics of sensitive populations regarding air pollution were identified. What's more, we found that PM2.5 has a positive influence on perceived risk factor (PR) and can strengthen the positive correlation between PR and satisfaction Iwith air quality (SAQ). Finally, policy implications behind these results were discussed, which can provide references and lay the foundation for policymakers and subsequent researchers. (C) 2018 Published by Elsevier B.V.