| 贵阳市城市居民低碳能源使用群体细分与行为特征研究 |
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| 引用本文： | 李旭东,瞿瑶.贵阳市城市居民低碳能源使用群体细分与行为特征研究[J].科技管理研究,2018(17). |
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| 作者姓名： | 李旭东 瞿瑶 |
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| 作者单位： | 贵州师范大学地理与环境科学学院 |
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| 基金项目： | 国家自然科学基金项目“西南山地流域城市化与生态环境的耦合关系研究——以贵州乌江流域为例”(41261039)；美国能源基金资助项目“贵州省居民生活能源消费特征及影响因素研究”（G-1601-24189）；贵州省科学基金项目“贵州省人口结构与区域经济发展时空耦合研究”(0502112P0003) |
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| 摘 要： | 选择贵阳市3 001名城市居民为低碳能源使用行为的研究对象,采取问卷调查和随机访谈的方法并通过对低碳能源使用行为与心理特征变量进行聚类分析,对人口统计特征中家庭异质性因素进行了微观探讨,结果表明,(1)城市居民低碳能源使用行为与其心理特征因素存在共存和反向关系;(2)按低碳能源使用行为与心理特征变量分类,将城市居民划分为中立协调论者和低碳主义者两类群体,整体上以低碳能源使用的人群居多;(3)两类不同群体在家庭异质性中性别、年龄、职业、家庭支配收入和家庭类型等因素上均存有显著差异。
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| 关 键 词： | 城市居民 聚类分析 低碳能源使用行为 群体细分 |
| 收稿时间： | 2017/12/14 0:00:00 |
| 修稿时间： | 2018/1/8 0:00:00 |
Study on population segmentation and behavior characteristics of urban low carbon energy use in Guiyang |
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| Abstract: | The object of study in Guiyang City 3001 city residents for low carbon energy use behavior, take the questionnaire survey and random interviews and through cluster analysis on low carbon energy use behavior and psychological variables on family demographic characteristics of heterogeneous factors is discussed microscopically. The results showed that: (1) there is inverse relationship between city residents and the coexistence of low carbon energy use behavior and psychological factors; (2) according to the classification and psychological characteristics variables using the behavior of low carbon energy, city residents will be divided into neutral coordination theory and low carbon, two groups, the whole body with low carbon energy use the majority of the population; (3) two kinds of different groups in family heterogeneity in gender and age, occupation, family income, family type and other factors have significant differences among women and young age in low carbon behavior is more positive, household disposable income is higher in low carbon energy investment on the more positive, more the number of population and family structure in low carbon energy use less, different degree constitute differences in low carbon. |
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| Keywords: | urban inhabitants cluster analysis low carbon energy use behavior Categorization |
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