城市居民节能行为影响因素及引导政策研究——以中国东部城市为例

项目名称： 城市居民节能行为影响因素及引导政策研究——以中国东部城市为例

项目编号： No.71273258

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 管理科学

项目作者： 龙如银

作者单位： 中国矿业大学

项目金额： 55万元

中文摘要： 在居民生活质量不断提高的背景下，促进城市居民实施节能行为，减少生活能源消费，对于缓解能源紧张、构建节约型和低碳型社会具有重要意义。本课题选取我国能源消耗量较大的东部地区城市居民为研究对象，从习惯性节能行为和购买性节能行为两个方面，运用文献研究和专家访谈的方法，构建城市居民节能行为影响因素的理论模型，设计调查问卷量表，并采取分层随机抽样和概率比例规模抽样相结合的方法选取调查样本。在问卷调查的基础上，运用结构方程模型对调查结果进行定量分析和检验，得出东部城市居民节能行为的影响因素、人口统计特征以及各因素间的相互作用关系，并探讨东部不同省份及不同等级城市居民节能行为的差异及其原因。在此基础上，引入实验经济学的思想，通过行为实验和政策情景模拟，分析不同政策情景对城市居民节能行为的影响，判断政策的有效性,据此提出引导城市居民节能行为的政策体系。

中文关键词： 东部城市居民；节能行为；结构方程模型；多主体建模与仿真；引导政策体系

英文摘要： With the increasing of residents' life quality, promoting city residents to implement energy-saving behavior and reduce life energy consumption is significant to ease the energy shortage and build energy-saving and low-carbon society. Because urban residents of the eastern region of China consume a large amount of energy, this project mainly studies residents of that region. Using the methods of literature research and experts interviews, this project constructs a theoretical model of impact factors of the residents' energy-saving behavior and designs a rational questionnatre from two aspacts: habitual energy-saving behavior and the purchasing energy-saving behavior. The combination method of stratified random sampling and probability proportional sizes sampling is used to select the survey sample. Then, we utilize the structural equation model to quantitatively analyze and test survey results. Furthermore, we study the influencing factors and demographic characteristics of the energy-saving behavior of the eastern city residents and the relationship among the factors. The differences and reasons in different provinces and different levels of energy-saving behavior of eastern urban residents can also be explored. Finally, through behavioral experiments and policy scenario simulation, the idea of experimental eco

英文关键词： urban residents of eastern region；energy conservation behavior；structural equation model；multi-agent modeling and simulation；system of guiding policy