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内容大纲
随着城市化进程的推进和公民权利意识的提高，邻避问题在重大基础设施建设过程中日益突出，已经成为世界各国公共生活中不可回避的议题。本书研究近年来香港发生的一系列反对邻避设施建设的案例，如反对建设垃圾焚化炉，反对扩建垃圾填埋场等，是旨在探究邻避设施选址过程中居民态度和行为影响因素的实证研究成果。本研究基于改进了的集体利益模型(CIM)，构建邻避行为分析框架，采用问卷调查、参与式观察和深度访谈的分阶段混合研究方法，对邻避冲突中居民心理及行为模式进行了系统和全面的分析，对理解邻避情结和邻避诉求具有重要意义，对于政府化解邻避冲突和制定邻避设施选址政策也具有重要的参考价值。 -
作者介绍
柳婷，女，1985年生，湖北荆州人，香港城市大学公共政策博士。现为华中科技大学公共管理学院讲师、硕士生导师，科技政策与科技管理研究所研究员，兼任武汉市临空经济研究所研究员。主要研究领域为科技政策与科技管理、区域创新发展、城市冲突等。以第一作者或通讯作者身份在Energy Policy、Cities、HabitatInternational以及《科技管理研究》等期刊上发表论文十余篇；担任Energy Policy、Cities、Habitat International、Social Science Quarterly等多部SSCI期刊评审人。 -
目录
List of Figures
Figure 2.1:Site selection approaches
Figure 2.2:Research framework
Figure 3.1:The statutory environmental impact assessment process
Figure 3.2:Public participation under the EIA Ordinance
Figure 3.3:Plan-making process (Town Planning 13oard,2008)
Figure 3.4:Facility siting decision-making process in Hong Kong
Figure 4.1:Triangulation design, two-phased data collection methods (Adapted from Teo & Loosemore,2014,p. 43)
Figure 4.2:Sampling strata in Tuen Mun district
Figure 4.3:Sampling strata in Tseung Kwan O New Town
Figure 4.4:Sampling techniques
Figure 6.1:Monthly household income and educational attainment of Tuen Mun residents and average Hong Kong residents (Census and Statistics Department,2007,2012)
List of Tables
Table 2.1:Key elements of facility siting approaches
Table 2.2:Examples of movements in Western countries and cities ...
Table 2.3:Examples of movements in Eastern countries and cities
Table 3.1:Land utilization in Hong Kong in 2012
Table 3.2:Median monthly household income and Gini coefficient(Census and Statistic Department,2012)
Table 4.1:Variables operationalized for empirical analysis
Table 4.2:Measurement of the independent variables
Table 5.1 :Demographic information of the survey respondents
Table 5.2:Information of the 19 interviewees
Table 5.3:Participation information by district
Table 5.4:Participation information by proximity
Table 5.5:Participation information by both district and proximity
Table 5.6:Correlation coefficients between living distance and participation levels
Table 5.7:Summary statistics of the efficacy variables before rescaling (n=631)
Table 5.8:Summary statistics of the experience variables and media variables before rescaling (n=631)
Table 5.9:Summary statistics of the risk perception variables of the value of collective good categories (n=631)
Table 5.10:Summary statistics of other variables of the value of collective good categories (n=631)
Table 5.11:Summary statistics of the selective benefit variables (n=631)
Table 5.12:Correlation coefficients among selected independent variables
Table 5.13:Cronbach's alpha coefficients of the scales
Table 5.14:Resuhs of the OLS regression
Table 6.1:Public acceptance of the compensation measures (n=631)
Table 6.2:Public acceptance of the mitigation measures (n=631)
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