城市居民垃圾分类行为驱动机理及政策仿真研究

博士学位论文
城市居民垃圾分类行为驱动机理
及政策仿真研究
Driving Mechanism and Policy Simulation of Urban Residents' Waste Separation Behavior
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导师：陈红教授
中国矿业大学
二〇一八年五月
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作者签名：导师签名：
年月日年月日
中图分类号 C93 学校代码 10290
UDC 密级公开
中国矿业大学
博士学位论文
城市居民垃圾分类行为驱动机理及政策仿真研究Driving Mechanism and Policy Simulation of
Urban Residents' Waste Separation Behavior
作者陈飞宇导师陈红
申请学位管理学博士培养单位管理学院
学科专业管理科学与工程研究方向环境心理、行为与政策答辩委员会主席吴杰评阅人
二○一八年五月
致谢
今天3月11日，气温回升，阳光大好，鸟语花香，正如我的心情一样。

完成了博士论文的我，散去了多天的焦虑。

回想起昨天晚上，摘下眼镜，关掉电脑的自己，没有想太多，就想着明天可以睡个懒觉了。

或许每个故事都应该有一个结局，17岁来到矿大，26岁即将毕业，不长不短的9年。

勾勒出一段求学经历，留给自己一段永恒的回忆。

这是多彩的旅程，这是激情燃烧的岁月。

将日历回翻到2009年，带着一脸傲气的青葱少年，高中刚毕业进入中国矿业大学。

彼时感觉天下虽大，他日吾必将能传檄而定。

但很快我就意识到，能够拥有自己的一方天地就已然满足。

犹记得当年大三暑期刚结束，要读研的念头便已确定，随后给陈红教授发了一封拜师信。

经过一段亲和的谈话，邮件得知陈老师确定收我为徒时，突然感觉自己无需再艰难打怪升级，无需再经历新手村的艰难磨砺，就能够拥有一个完美的研究生生涯开局。

事实也正是如此，大四提前一年的科研训练为我整个硕博研究生阶段奠定了坚实的科研能力基础。

硕博连读的五年里，我是被陈老师“批”次数最多的学生。

我也曾不服过，为什么我总是“背锅”的人。

但是经历过才懂得，每一次批评教育，都会使我潜移默化地发生改变。

陈老师对我的教育和帮助不仅仅是在科研方面，毫无保留地传授科研思维和心得，经常牺牲自己假期休息时间无私地为我构思和修改每篇学术论文，正如这篇博士论文一样，从论文最初的选题、研究思路设计、研究方法的选择，到论文定稿修改，尤其是在论文数据收集时的费心费力，无不体现着陈老师的悉心指导和帮助。

陈老师还非常强调工作能力方面的培养，在这五年里，我经常被委以重任，得到了非常多的锻炼机会，更是学习到了终身受用的工作思维和多方面的工作技能。

同时，在生活方面，陈老师会把学生当成自己的孩子来看待，总会陪伴我们共度佳节，在遇到困难时，也总会暖心地提供帮助，在求职时，依然会各种操心和推荐，希望我未来会有更好的发展。

因此，我衷心地感谢陈老师，是她让我全方位都在不断改变，不断突破，不断成长！
而作为“能源-环境-安全”行为管理与政策研究团队的一员，无疑是幸运爆炸的。

因为很少有人在硕博阶段，都能够有两位相关领域资深教授的联手培养。

龙如银教授作为我硕博连读五年里的又一导师，他经常会在陈老师教育和帮助的基础上锦上添花，总会在我科研、工作以及生活中一筹莫展时提供及时的能量与指南针，总能够让我更加宏观、更加积极地看待问题。

同时，龙老师的奉献精神也为同是男性的我树立了榜样和目标。

因此，我还要衷心地感谢龙老师，是他让我更加担当，更加成熟，更加优秀！
另外，我要感谢博士论文开题过程中各位答辩专家的建设性意见，感谢周敏
教授、曹庆仁教授、张磊教授和王德鲁教授在论文开题中给予的宝贵建议，这些建议和意见使我的研究思路更加清晰，更加完善。

感谢博士论文数据调研的过程中，细心填写问卷的亲朋好友和每一个热情的陌生人，是他们让这项研究得以顺利开展。

尤其感谢于海淼老师、李姗姗、张乐、李倩文、刘蓓、方文倩、侯聪美、封燕、甘辛、杨檬华、矿大人力系众多毕业生等师友在我访谈和问卷发放过程中提供的帮助。

感谢祁慧老师、岳婷老师、张润岩、韩帅、王宇杰、王佳琪等人在论文仿真思路、编程及相关图形绘制方面给予我的热心帮助，使我的论文得以顺利完成。

再次感谢李姗姗在论文质性分析过程中提供的帮助。

感谢黄心如、郭道燕、丁允乔和崔晓彤在科研期间一直以来英文翻译方面给予我的无私帮助。

感谢几年来一直陪伴我的“同桌”们，以及课题组的每一位小伙伴。

我们一起学习，一起工作，一起快乐，是他们让我在这几年来的科研和生活无比多彩。

感谢二十年来我所有的课程教学老师，一颗树苗经历了数十名“园丁”殷勤的灌溉，从而才能够有得今日这样的成长。

感谢我的父母、我的家人。

自从进入博士阶段，再也没有感受过家乡的春秋。

谢谢他们一直以来无条件的支持与付出，他们对我殷切的期望，和日渐增加的白发与皱纹，是我求学生涯的最大动力！当然也要感谢过去努力、坚持、富有韧性的自己，使我可以成为现在的我。

最后，还要感谢在百忙之中抽出时间来对本论文进行评审并提出宝贵意见的各位专家。

作为一名即将毕业的博士生，头发倒是没有脱落，但眼角的皱纹已如沟壑。

学生生涯即将结束，但学习生涯从未落幕。

在以后的工作生活中，我会更加努力，做一个发光发热的人！
摘要
随着中国经济的发展和城镇化水平的提升，城市居民资源消耗量及生活垃圾产生量和复杂程度不断增加。

如何解决城市生活垃圾带来的污染问题，且实现资源的重复利用已成为资源环境领域亟需探究的重要议题。

垃圾的源头分类活动是确保其有效回收、循环利用的根本前提，决定了整个垃圾资源化和减量化处理过程是否能够有效的进行。

厘清垃圾分类行为驱动机理，并据此设计、实施有效的干预政策，对居民垃圾分类行为的引导，实现垃圾的循环利用具有重要的意义。

本文依据“提出问题—理论研究—实证研究—演绎仿真研究—解决问题”的技术路线，以我国城市居民垃圾分类行为为研究对象，综合运用行为学、心理学和经济学等基本理论与方法，围绕涵盖行为驱动、政策响应和政策仿真的综合路径模型展开研究。

具体研究内容及结论如下：
（1）基于居民垃圾分类活动中主体、标准、执行和目标的过程逻辑，界定了城市居民垃圾分类行为的内涵。

进一步从行为发生动机的视角，结合质性研究，构建并验证了垃圾分类行为的四维结构，分别为习惯型分类行为、决策型分类行为、人际型分类行为和公民型分类行为。

在此基础上开发、检验了城市居民垃圾分类行为及其驱动因素测量量表。

描述性统计分析发现，城市居民垃圾分类行为劣性值检出率（45.78%）较高，且习惯型分类行为与公民型分类行为劣性特征尤为突出。

（2）运用质性研究方法探究了城市居民垃圾分类行为的关键驱动因素，构建了城市居民垃圾分类行为驱动机理理论模型。

单因素方差分析、多元回归分析、结构方程模型的实证检验结果表明，垃圾分类行为在年龄、婚姻状况、学历、政治面貌、月收入、月生活支出、家庭住宅面积、家庭成员数、家庭排行、家庭月收入、家务承担倾向上存在显著性差异。

个体心理因素中的利己价值观、利社会价值观、预防聚焦、促进聚焦、节奏偏好、品质偏好和分类知识，情境因素中的产品技术条件、设施条件、标准可识别度、分类环节信任、收运环节信任、家庭氛围、组织氛围和社会氛围，分类授权感知及其各维度，均能够显著地直接预测城市居民垃圾分类行为。

分类授权感知在利关系价值观、分类关注、数量偏好与垃圾分类行为间的关系中存在完全中介效应，在利己价值观、利社会价值观、分类知识、预防聚焦、促进聚焦、节奏偏好、品质偏好与垃圾分类行为间的关系中存在部分中介效应。

情境因素中的设施条件、标准可识别度、生产环节信任、分类环节信任、收运环节信任和处理环节信任对分类授权感知与垃圾分类行为间关系存在显著的调节效应。

（3）基于“执行侧”视角，结合个体态度反应模式，构建了包括了解度、支持意愿、执行意愿和带动意愿的城市居民垃圾分类行为引导政策响应模型，并
探究了城市居民对垃圾分类行为引导政策的响应机制。

统计分析和二次响应面回归分析发现，公众对政策的了解/支持/执行/带动情况呈近似“倒U型”变化，表现出低了解度和带动意愿、高支持意愿和执行意愿的特点，且42.51%的个体对垃圾分类引导政策的了解度处于劣性水平。

仅支持意愿能显著影响公众对政策的执行意愿，但了解度和支持意愿均能够显著地正向预测带动意愿。

特别地，了解度、支持意愿的一致性对执行意愿、带动意愿呈“递增”响应，了解度与支持意愿二者一致且一致性程度较高时执行意愿、带动意愿更高。

（4）从行为“执行-带动”的视角，对信息交互干预机制和协作分类机制下的城市居民垃圾分类行为进行政策仿真分析，探究垃圾分类行为形成及复现的演化机制。

仿真分析结果表明：
在信息交互干预机制下，固定响应效度情景中，政策情境因素与偏向信息的交互干预促使个体习惯型分类行为的学习速率高于其自学习的速率，其中最关键的三类政策情境干预因素依次为分类环节信任、生产环节信任和设施条件。

不同响应效度的情景中，政策高响应效度和高了解度低支持度促使在仿真初期的个体具有较高的学习速率，低响应效度与低了解度高支持度的学习速率较低，且与自学习相同。

随着仿真步数增加，低了解度高支持度响应效度情景下的学习速率下降速度较快，高了解度低支持度响应效度情景下的学习速率先是略微下降，随后呈现上升再下降的趋势，并在一段时间后超过低了解度高支持度响应效度情景下的学习速率。

在仿真演化进程后端，不同响应效度情景下的感知收益与行为发生概率呈现出趋同特征。

整个仿真过程中，高响应效度促使信息交互干预机制下的分类行为最快形成与复现；低响应效度下行为收敛速度最慢。

协作分类机制中，比较有政府约束和无政府约束下个体独立分类和协作分类四种演化博弈结果表明，在独立分类情境下，无论政府是否采取约束措施，个体均倾向于“搭便车”行为，政府对个体的约束在垃圾分类中面临失灵；在协作分类的情境下，个体的稳定策略均向形成协作分类状态或均不分类的方向演进。

为促进公众积极参与垃圾分类，个体间需形成有效和稳定的协作关系，协作收益是达成这一关系的必要条件，而协作成本和政府约束的力度则决定了这一关系的稳定程度。

通过Matlab算法，进行演化博弈数值模拟分析，仿真了各调节参数对行为演化路径的影响作用。

最后根据质化分析与量化分析结果，从行为驱动、政策践行及现实机制运行三个方面提出了城市居民垃圾分类行为干预政策建议，为有效引导城市居民垃圾分类行为提供借鉴。

该论文有图109幅，表161个，参考文献330篇。

关键词：垃圾分类行为；驱动因素；响应机制；政策仿真
Abstract
With the development of China’s economy and the increase of urbanization, the amount of urban residents’ resource consumption and the volume and complexity of domestic municipal solid waste (MSW) are increasing. It has become an important issue which needs urgent exploration in the field of resources and environment to solve the problem of pollution caused by MSW and realize the reuse of resources. Waste source separation is the fundamental prerequisite for ensuring effective recovery and recycling, and determines whether the entire waste resource and reduction process can be effectively carried out. To clarify the driving mechanism of waste separation behavior and to design and implement effective intervention policies based on this, it is of great significance to guide the residents' waste separation behavior and realize the recycling of waste.
Based on the technology route of "raising problem, theoretical research, empirical research, deductive simulation research, solving problems", this paper takes the urban residents' waste separation behavior as the research object, and comprehensively uses basic theories and methods such as behavior science, psychology, and economics. A comprehensive path model including behavior driving, policy response, and policy simulation was studied deeply. The specific research contents and conclusions are as follows:
(1) Based on the process logic of the main body, standard, execution and goal of the waste separation behavior activities, the connotation of the urban residents' waste separation behavior is defined. From the perspective of behavior motivation and qualitative research, four dimensions of waste separation behavior are constructed and verified, including the waste separation behavior for habit, the waste separation behavior for decision, the waste separation behavior for relationship and the waste separation behavior for citizen. On this basis, the urban residents' waste separation behavior and its driving factors measurement scale were developed and tested. The descriptive statistical analysis found that the detection rate of the urban residents' waste separation behavior (45.78%) was higher, and the inferior characteristics of waste separation behavior for habit and waste separation behavior for citizen were particularly prominent.
(2) Using qualitative research methods, the key driving factors of the urban residents' waste separation behavior are explored, and a theoretical model of the urban residents' waste separation behavior driving mechanism is constructed. The empirical
test results of ANOVA analysis, multiple regression analysis and structural equation model show that there are significant differences in waste separation behavior in relation to age, marital status, education, political status, monthly income, monthly living expenses, family residential area, family members, family ranking, family monthly income, and tendency towards housework. Self-interest values, social-interest values, prevention focus, promotion focus, preferences for rhythm, preferences for quality and separation knowledge in individual psychological factors, product technical conditions in situational factors, facilities conditions, recognition of standard, trustworthiness for separation links, trustworthiness for collection, family norms, organization norms and community norms, reception of separation empowerment and its dimensions can directly predict the urban residents' waste separation behavior. There is a complete mediator effect in the relationship between the relatives-interest values, concerns of separation, preferences for quantity and the waste separation behavior, and there is some intermediary effect in the relationship between self-interest values, social-interest values, separation knowledge, prevention focus, promotion focus, preferences for rhythm, preferences for quality and the waste separation behavior. The relationship between the facilities conditions, recognition of standard, trustworthiness for production links, trustworthiness for separation links, trustworthiness for collection and transportation links, and trustworthiness for disposal links has a significant adjustment effect on the relationship between perception of separation empowerment and the waste separation behavior.
(3) Based on the "execution side" perspective and the attitude response model, the urban residents' waste separation behavior guidance model, including understanding, support will, execution will and willingness to drive, was constructed, and the response mechanism of urban residents to the waste separation behavior guidance policy was explored. The statistical analysis and the two response surface regression analysis showed that the public's understanding / support / execution / drive situation showed an approximate "inverted U" change, showing the characteristics of low understanding and willingness to drive, high support will and willingness to execute, and 42.51% of the individuals were in poor level of understanding of the waste separation behavior guidance policy. Willingness to support can significantly affect the public's willingness to execute policies, but knowing degree and support willingness can significantly predict the willingness to drive. In particular, the consistency of knowledge and willingness to support will respond to the willingness to execute, and the willingness to
drive is "increasing". The willingness to execute and the willingness to drive are higher when the degree of understanding is consistent and higher with the two support will.
(4) From the perspective of "execution and driving" of the behavior, the paper makes a policy simulation analysis on the urban residents' waste separation behavior under the information interaction mechanism and the cooperative classification mechanism, and explores the evolution mechanism of the formation and reappearance of the waste separation behavior. The results of simulation analysis show that: Under the information interaction intervention mechanism, the interactiv e intervention of the policy situation factors and the biased information in the fixed response validity situation makes the learning rate of the individual habit type classification behavior higher than the rate of self-learning. The most critical three kinds of policy situation intervention factors are trustworthiness for production links, trustworthiness for separation links, and facilities conditions. In the situation of different response validity, the high response rate of policy and low support of high understanding make the individual have higher learning rate at the early stage of simulation, and the learning rate of low response validity and low understanding is lower and is the same as self-learning. As the number of simulation steps increased, the learning rate decreased faster in the scenario of low degree of understanding and high support response validity. The learning rate under the situation of low support and low support response validity was slightly decreased, followed by a trend of rising and then decreasing, and after a period of time, it exceeded the learning rate under the situation of low understanding and high support response validity. In the later stage of evolutionary simulation, the probability of perceived benefit and occurrence probability of behavior under different response validity scenarios showed convergence. In the whole simulation process, high response validity leads to the rapid formation and reappearance of the classification behavior under the information interaction intervention mechanism, and the slow rate of behavior convergence is the slowest under low response validity.
In the cooperative mechanism, the cooperative mechanism of waste separation was constructed, which was influenced and supervised by individuals. Further the study explored the formation conditions of the interpersonal cooperative mechanism in the process of waste separation using the evolutionary game method. The results show that during independent separation, individuals tend to exhibit “free-rider” behavior regardless of whether restraint measures were imposed by government, which result in
the failure of government policy. In cooperative separation, the evolutionary stability strategy of individuals was cooperative separation or non-separation. Furthermore, an effective and stable cooperative relationship among individuals should be developed to promote the public’s active participation in waste separation. The stability of this relationship was determined by cooperative costs and government restraints because cooperative benefit is a necessary factor to achieve this relationship. A numerical simulation was performed to simulate the effects of parameters adjustment on the evolution of separation behaviors through the Matlab algorithm.
Finally, according to the results of qualitative analysis and quantitative analysis, the urban residents' waste separation behavior intervention policy suggestions were proposed from the perspective of behavior-driven, policy implementation and the actual operation of the mechanism, which can provide guidance for effective guidance of urban residents' waste separation behavior.
There are 109 figures, 161 tables and 330 references in the paper.
Keywords: waste separation behavior; driving factors; response mechanism; policy simulation
VI
目录
摘要 (I)
目录 (VII)
图清单 (XII)
表清单 (XXI)
1绪论 (1)
1.1 研究背景 (1)
1.2 研究目的与意义 (11)
1.3 研究内容、方法与技术路线 (12)
1.4 本章小结 (14)
2文献综述与相关理论 (15)
2.1 垃圾分类行为概念范畴 (15)
2.2 相关理论基础及模型 (18)
2.3 垃圾分类行为影响因素的相关研究 (27)
2.4 国内垃圾分类行为引导政策及公众响应的理论研究 (34)
2.5 本章小结 (42)
3城市居民垃圾分类行为驱动与政策响应模型构建 (43)
3.1 基于质性分析的城市居民垃圾分类行为驱动因素选择与界定 (43)
3.2 城市居民垃圾分类行为驱动模型构建与假设提出 (60)
3.3 城市居民垃圾分类行为引导政策响应模型构建与假设提出 (73)
3.4 城市居民垃圾分类行为综合研究模型构建 (74)
3.5 本章小结 (75)
4城市居民垃圾分类行为及其驱动因素量表开发与数据收集 (77)
4.1 研究量表的设计与开发 (77)
4.2 正式调研与样本情况 (93)
4.3 正式量表的检验 (95)
4.4 本章小结 (100)
5城市居民垃圾分类行为驱动机理分析 (101)
5.1 城市居民垃圾分类行为现状及差异 (101)
5.2 城市居民垃圾分类行为及其驱动因素的相关性分析 (124)
5.3 城市居民垃圾分类行为直接驱动效应分析 (130)
5.4 城市居民分类授权感知的中介效应分析 (152)
5.5 情境因素的调节效应分析 (159)
5.6 垃圾分类行为作用于个体分类授权感知的效应分析 (188)
5.7 城市居民垃圾分类行为驱动机理理论模型修正 (193)
5.8 本章小结 (196)
6城市居民垃圾分类行为引导政策的响应机理研究 (197)
6.1 二次响应面回归分析法 (197)
6.2 政策响应量表与样本 (198)
6.3 城市居民垃圾分类行为引导政策的响应机理的实证分析 (199)
6.4 本章小结 (210)
7“执行-带动”视角下垃圾分类行为的演化仿真 (211)
7.1 信息交互干预机制下垃圾分类行为的形成与稳定 (212)
7.2 协作分类机制下垃圾分类行为的形成与稳定 (247)
7.3 本章小结 (262)
8引导我国城市居民垃圾分类行为的政策建议 (263)
8.1 垃圾分类行为驱动建议 (263)
8.2 引导政策践行保障建议 (269)
8.3 现实干预机制下垃圾分类行为提升建议 (270)
8.4 本章小结 (272)
9研究结论与展望 (273)
9.1 研究结论 (273)
9.2 主要创新点 (277)
9.3 研究局限与展望 (278)
参考文献 (280)
附录1 (301)
附录2 (306)
附录3 (309)
附录4 (314)
作者简历 (319)
学位论文原创性声明 (321)
学位论文数据集 (322)
Contents
Abstract (III)
Contents (IX)
List of Figures (XII)
List of T ables (XXI)
1 Introduction (1)
1.1 Research Background (1)
1.2 Research Purpose and Significance (11)
1.3 Research Contents, Methods and T echnology Route (12)
1.4 Brief Summary (14)
2 Literature Review and Related Theory (15)
2.1 Concept Connotation of Waste Separation Behavior (15)
2.2 Relevant Basic Theory and Model (18)
2.3 Study of Influencing Factors on Waste Separation Behavior (27)
2.4 Theoretical Research on Domestic Guidance Policy of Waste Separation Behavior and its Public Response (34)
2.5 Brief Summary (42)
3 Research Model of Driving Mechanism and Policy Response of Urban Residents’ Waste Separation Behavior (43)
3.1 Selection and Definition of Driving Factors of Urban Residents’ Waste Separation Behavior Based on Qualitative Research (43)
3.2 Model Establishment and Hypothesis Proposal of Urban Residents’ Waste Separation Behavior (60)
3.3 Model Establishment and Hypothesis Proposal of Urban Residents’ Response to the Guidance Policy (73)
3.4 Comprehensive Research Model Establishment of Urban Residents' Waste Separation Behavior (74)
3.5 Brief Summary (75)
4 Development of the Research Scale and Data Collection of Urban Residents’ Waste Separation Behavior and its Driving Factors (77)
4.1 Design and Development of Research Scale (77)
4.2 Formal Investigation and Sample Situation (93)
4.3 T est of Formal Scale (95)
4.4 Brief Summary (100)
5 Analysis of Driving Mechanism of Urban Residents’ Waste Separation Behavior (101)
5.1 Status and Differences of Urban Residents’ Waste Separation Behavior (101)
5.2 Correlation Analysis Between Urban Residents’ Waste Separation Behavior and its Driving Factors (124)
5.3 Analysis of the Direct Driving Effect of Urban Residents’ Waste Separation Behavior (130)
5.4 Analysis of Mesomeric Effect of Urban Residents' Perception of Separation Empowerment (152)
5.5 Analysis of the Moderating Effect of Situational Factors (159)
5.6 Analysis of Waste Separation Behavior act on Perception of Separation Empowerment (188)
5.7 Modification of Theoretical Model of Waste Separation Behavior Driving Mechhanism (193)
5.8 Brief Summary (196)
6 Research on Response Mechanism of Urban Residents' Waste Separation Behavior Guidance Policy (197)
6.1 Quadratic Response Surface Regression Analysis Methodology (197)
6.2 Scales and Samples of Policy Response (198)
6.3 Empirical Analysis of the Response Mechanism of Urban Residents' Waste Separation Behavior Guidance Policy (199)
6.4 Brief Summary (210)
7 Simulation of "Implement-Influence" of Urban Residents' Waste Separation Behavior (211)
7.1 Formation and Stability of Waste Separation Behavior under Information Intervention Mechanism (212)
7.2 Formation and Stability of Waste Separation Behavior under Cooperativ e Separation Mechanism (247)
7.3 Brief Summary (262)
8 Policy Suggestions on Guiding Urban Residents' Classification Behavior in China (263)
8.1 Driving Recommendation of Waste Separation Behavior (263)
8.2 Recommendations for Implementation Protection of Guidance Policy (269)
8.3 Recommendations for Improving Waste Separation Behavior under Realistic Intervention Mechanism (270)
8.4 Brief Summary (272)
9 Research Conclusions and Research Prospects (273)
9.1 Research Conclusions (273)
9.2 Major Innovative Points (277)
9.3 Research Limitations and Prospects (278)
References (280)
Appendix 1 (301)
Appendix 2 (306)
Appendix 3 (309)
Appendix 4 (314)
Author’s Resume (319)
Declaration of Dissertation Originality (321)
Dissertation Data Collection (322)
图清单
图序号图名称页码图1-1 中国垃圾产量 1 Figure 1-1 Waste production in China 1 图1-2 中国垃圾分类标准 2 Figure 1-2 Standard of waste separation in China 2 图1-3 中国垃圾收运路径 3 Figure 1-3 Waste Collection and Transportation in China 3 图1-4 中国垃圾各类处置方式的占比 4 Figure 1-4 Percentage of waste disposal methods in China 4 图1-5 垃圾处理层次 5 Figure 1-5 Level of waste disposal 5 图1-6 垃圾处置理念的进阶特征 5 Figure 1-6 Advanced features for waste disposal concept 5 图1-7 中国垃圾管理机构变迁 6 Figure 1-7 Changes of waste management agencies in China 6 图1-8 美国公共场所垃圾分类现实场景9 Figure 1-8 Reality of waste separation in public space in America 9 图1-9 中国公共场所垃圾分类现实场景9 Figure 1-9 Reality of waste separation in public space in America 9 图1-10 技术路线14 Figure 1-10 Technology route 14 图2-1 规范行为理论模型中各因素间关系18 Figure 2-1 Relationship between various factors in the Norm Activation Model 18 图2-2 计划行为理论框架19 Figure 2-2 Framework of Planned Behavioral Theoretical 19 图2-3 城市生活垃圾分类引导政策结构38 Figure 2-3 Structure of guidance policy for waste separation 38 图3-1 质化研究的过程步骤43 Figure 3-1 Process and operational program of qualitative research 43 图3-2 访谈资料关键词条出现频次45 Figure 3-2 Frequency of keywords in interview data 45 图3-3 城市居民垃圾分类行为驱动模型73 Figure 3-3 Driving model of urban residents' waste separation behavior 73 图3-4 城市居民垃圾分类行为引导政策响应模型74
Figure 3-4 Response model of guidance policy for urban residents' waste
separation behavior
74
图3-5 城市居民垃圾分类行为综合研究路径模型76
Figure 3-5 Comprehensive research model of urban residents' waste separation
behavior
76
图4-1 量表开发流程78 Figure 4-1 Steps for the development of scale 78 图5-1 不同年龄段的城市居民垃圾分类行为均值比较104
Figure 5-1 Means comparison of urban residents' waste separation behavior based
on age
104
图5-2 不同婚姻状况的城市居民垃圾分类行为均值比较105
Figure 5-2 Means comparison of urban residents' waste separation behavior based
on marital status
105
图5-3 不同学历的城市居民垃圾分类行为均值比较107
Figure 5-3 Means comparison of urban residents' waste separation behavior based
on educational background
107
图5-4 不同政治面貌的城市居民垃圾分类行为均值比较109
Figure 5-4 Means comparison of urban residents' waste separation behavior based
on political status
109
图5-5 不同月收入的城市居民垃圾分类行为均值比较110
Figure 5-5 Means comparison of urban residents' waste separation behavior based
on monthly income
110
图5-6 不同月生活支出的城市居民垃圾分类行为均值比较112
Figure 5-6 Means comparison of urban residents' waste separation behavior based
on monthly living expenses
112
图5-7 不同家庭住宅面积的城市居民垃圾分类行为均值比较114
Figure 5-7 Means comparison of urban residents' waste separation behavior based
on family residential area
114
图5-8 不同家庭成员数的城市居民垃圾分类行为均值比较115
Figure 5-8 Means comparison of urban residents' waste separation behavior based
on family members
115
图5-9 不同家庭排行的城市居民垃圾分类行为均值比较117
Figure 5-9 Means comparison of urban residents' waste separation behavior based
on family ranking
117
图5-10 不同家庭月收入的城市居民垃圾分类行为均值比较118
Figure 5-10 Means comparison of urban residents' waste separation behavior based
on family monthly income
118
图5-11 不同家务承担倾向的城市居民垃圾分类行为均值比较120
Figure 5-11 Means comparison of urban residents' waste separation behavior based
on tendency towards housework
120
图5-12 不同职位层级的城市居民垃圾分类行为均值比较123
Figure 5-12 Means comparison of urban residents' waste separation behavior based
on position level
123
图5-13 不同职位等级的城市居民垃圾分类行为均值比较124
Figure 5-13 Means comparison of urban residents' waste separation behavior based
on position administrative level
124
图5-14 政策普及度的调节效应161。