新疆财经 ›› 2015,Issue (6): 72-78.doi: 10.16716/j.cnki.65-1030/f.2015.06.009

• 调查研究 • 上一篇    

乌鲁木齐市居民幸福感组群差异分析——基于Ordered Logistic模型

肖春梅, 霍露萍   

  1. 新疆财经大学 经济学院,新疆 乌鲁木齐 830012
  • 收稿日期:2015-03-23 出版日期:2015-12-25 发布日期:2020-12-14
  • 作者简介:肖春梅(1972-),女,副教授,博士,研究方向:产业布局、生态循环经济;霍露萍(1990-),女,硕士研究生,研究方向:区域发展规划与政策。
  • 基金资助:
    2014年新疆财经大学科研创新项目“乌鲁木齐市居民幸福感调查研究”(cdyjd2014008)

An Analysis of the Group Difference of Urumqi Residents’ Sense of Happiness——Based on the Ordered Logistic Model

Xiao Chunmei, HuoLuping   

  1. Xinjiang University of Finance and Economics,Urumqi 830012,China
  • Received:2015-03-23 Online:2015-12-25 Published:2020-12-14

摘要: 为了解居民对当前生活的满意度情况,本文选取乌鲁木齐市居民为研究样本,采用调查问卷及访谈的方式对其经济状况、社会安全、政府公共服务等方面的满意度情况进行了调查。运用Ordered Logistic模型对居民幸福感影响因素和组群差异进行分析。结果得出:经济状况、社会安全和政府公共服务三个因素均对居民幸福感具有显著影响;不同职业和不同月收入水平的居民对各影响因素的满意度不同。为此本文提出,应大力发展乌鲁木齐市经济,以提高居民生活水平;加强社会治安,为居民营造平安生活环境;美化周围环境,建设生态文明城市;完善社会保障制度,以提高居民幸福感。

关键词: 幸福感, Ordered Logistic, 组群差异, 乌鲁木齐

Abstract: To understand the situation of Urumqi residents’ satisfaction on the current life, this paper used the method of questionnaire and interview to collect the basic information of the residents in the city of Urumqi on their financial situation, social security, and the government public service. Then the survey data are analyzed through descriptive statistics and ordered logistic regression method. The result of ordered logistic analysis shows financial situation, social security, and the government public service are significantly correlated with residents’ satisfaction.However,residents of different occupations and different income levels are not the same for satisfaction of each factor. For this reason, the paper suggests that we should vigorously develop Urumqi economy to improve living standards; strengthen social security to create safe living environment; and beautify the living environment through the construction of ecological city; and perfect the social insurance system to improve residents’ well-being.

Key words: Well-being, Ordered Logistic, Group Difference, Urumqi

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