基于空间视角的居民电子废弃物回收行为差异研究

发布时间：2018-08-04 13:21

【摘要】：随着环境、资源、人口以及经济之间的问题逐渐突显,实现物资合理回收再利用、促进逆向物流顺利开展是保证社会各个层面的协调和长远发展的关键性基础工作。但由于回收意识不强、回收网络的不完善等各种原因,居民,尤其是产生电子废弃物较多的城市居民实际参与回收行为程度良莠不齐,这种差异在区域之间较为明显,以至于该项工作的开展收效甚微。论文以研究居民电子废弃物回收行为及其在空间上的差异形成原因为目的,以峨眉山市城市居民为对象,将计划行为理论和结构方程模型应用到逆向物流领域,建立了峨眉山市城市居民电子废弃物回收行为结构方程模型。接着应用AMOS软件对模型进行了拟合,通过最终适配模型的数值分析了峨眉山市城市居民电子废弃物回收行为的影响因素和影响途径;随后运用ArcGIS软件以峨眉山市城市居民电子废弃物回收行为程度为标准,将峨眉山市城区分为5个不同行为空间;最后使用之前建立的峨眉山市城市居民电子废弃物回收行为结构方程模型分别分析了各个行为空间内人群的受影响情况,通过最终的适配模型结果进行对比分析找到五种行为模式差异的形成原因。其中,峨眉山市城市居民电子废弃物回收行为结构方程模型是在计划行为理论基本结构的基础上添加情境因素形成的,丰富了行为的影响因素构成,充分考虑居民在执行回收行为时的态度、社会规范、主观评量以及受到的情境因素约束,并且使用SPSS对模型中使用数据进行了合理性和有效性检验。在探究空间上的行为差异成因时,引入效应值用以衡量因素间的量化关系,使得分析结果更合理。通过峨眉山市城市居民电子废弃物回收行为的整体以及空间分区的建模分析和数据成面出图分析得到如下结论:(1)居民的态度显著影响其电子废弃物回收行为意向,并且这种影响是积极的;(2)居民的主观规范显著影响其电子废弃物回收行为,但这种影响是消极的;(3)居民的知觉行为控制显著影响其电子废弃物回收行为意向,并且这种影响是积极的;(4)居民的情境因素显著影响其电子废弃物回收行为意向,并且这种影响是积极的;(5)研究区域内的居民实际回收行为在空间分布上存在着差异,虽然模型中各潜变量对行为的影响途径相同但各潜变量间的量化关系存在差异,原因是不同行为空间的行为主导因素不同。
[Abstract]:With the problems of environment, resources, population and economy becoming more and more prominent, it is the key work to realize the rational recycling of materials and promote the smooth development of reverse logistics to ensure the coordination and long-term development of all levels of society. However, due to the lack of consciousness of recycling and the imperfection of recycling network, residents, especially the urban residents who produce more electronic wastes, actually participate in the recovery of different levels of behavior, which is more obvious in different regions. So that the development of the work has little effect. In order to study the recycling behavior of electronic waste and the causes of spatial difference, this paper applies the planning behavior theory and structural equation model to reverse logistics field, taking the urban residents of Emeishan city as the object. The behavior structure equation model of electronic waste recovery for urban residents in Emei City was established. Then the model is fitted with AMOS software, and the influencing factors and ways of the e-waste recovery behavior of urban residents in Emeishan are analyzed by the numerical value of the final fitting model. Based on the standard of e-waste recovery behavior of urban residents in Emei City, Emei City is divided into five different behavior spaces by ArcGIS software. Finally, the influence of the population in each behavior space was analyzed by using the behavior structure equation model of Emei city residents' electronic waste recovery, which was established before. The results of the adaptation model were compared and analyzed to find out the causes of the differences in the five behavioral patterns. Among them, the structure equation model of Emei city residents' e-waste recycling behavior is formed by adding situational factors on the basis of the basic structure of planning behavior theory, which enriches the composition of the influencing factors of behavior. The attitudes, social norms, subjective evaluation and contextual constraints of the residents in carrying out the recovery behavior are fully considered, and the rationality and validity of the data used in the model are tested by using SPSS. When exploring the causes of behavioral differences in space, the effect value is introduced to measure the quantitative relationship between factors, which makes the analysis results more reasonable. Based on the analysis of the whole e-waste recycling behavior of urban residents in Emeishan city and the spatial zoning modeling and data mapping analysis, the following conclusions are obtained: (1) the attitude of the residents significantly affects their e-waste recycling behavior intention, and the following conclusions are obtained: (1) the attitude of the residents significantly affects their e-waste recycling behavior intention. And this effect is positive; (2) the subjective norms of residents significantly affect their e-waste recycling behavior, but this effect is negative; (3) residents' perceptual behavior control significantly affects their e-waste recycling behavior intention. And this effect is positive; (4) the residents' situation factors significantly affect their e-waste recycling behavior intention, and this effect is positive; (5) the residents' actual recycling behavior in the study area is different in spatial distribution. Although each latent variable has the same influence on behavior in the model, the quantitative relationship between the latent variables is different, the reason is that the dominant factors of behavior are different in different behavior space.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F713.2

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