央地政府信任对城市居民环境风险感知的影响——基于多层线性模型(HLM)的分析
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  • 英文篇名:The Influence of Trust in the Central and Local Government on the Environmental Risk Perception of Urban Residents:An Analysis based on Multi-layer Linear Model( HLM)
  • 作者:赵成 ; 王思琦
  • 英文作者:ZHAO Cheng;WANG Si-qi;School of Public Affairs & Law,Southwest Jiaotong University;
  • 关键词:政府治理 ; 央地政府 ; 政府信任 ; 城市居民 ; 环境风险感知 ; 多层线性模型
  • 英文关键词:government governance;;central and local government;;trust in government;;urban residents;;environmental risk perception;;multi-layer linear model
  • 中文刊名:JXXZ
  • 英文刊名:Local Governance Research
  • 机构:西南交通大学公共管理与政法学院;
  • 出版日期:2019-07-05
  • 出版单位:地方治理研究
  • 年:2019
  • 期:No.83
  • 基金:四川省哲学社会科学规划项目“公共工程项目社会稳定风险评价研究”(SC11B050);; 四川省哲学社会科学重点研究基地社会发展与社会风险控制研究中心项目“邻避风险的可接受性与解决措施研究——基于邻避设施的类型”(SR16A08)
  • 语种:中文;
  • 页:JXXZ201903005
  • 页数:13
  • CN:03
  • ISSN:36-1343/D
  • 分类号:57-68+82
摘要
基于微观的中国综合社会调查(CGSS)数据及宏观的中国城市统计数据,运用多层线性回归模型,研究地区差异下中央政府信任和地方政府信任是否会影响城市居民对环境风险的感知。研究发现:在城乡之间,环境风险感知存在显著差异;政府信任与城市居民环境风险感知存在显著关系,但中央政府信任与地方政府信任的显著性不同;地区差异因素对政府信任,与环境风险感知的关系存在显著影响,但主要来自经济差异而非环境状况差异;无论中央政府信任还是地方政府信任,都与环境风险感知间存在着随机斜率影响。
        Based on micro-level data from China General Social Survey( CGSS) and macro-level China urban statistics,this paper uses multi-layer linear regression model to study whether the trust in the central and local government trust will affect urban residents' environmental risk perception under regional differences. It is found that there is a significant difference in environmental risk perception between urban and rural areas; there is a significant relationship between trust in government and urban residents' environmental risk perception,but the trust in the central government is different from that in local government; regional differences especially economic differences rather than environmental conditions have significant impact on the relationship between the trust in government and environmental risk perception; there is a random slope effect between the trust in the central and environmental risk perception.
引文
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