基于城市消费水平多指标面板数据的聚类分析研究

摘要

The consumption level is one of the most important indicators to measure residents' living standards and also the main basis of government strategy. With numerous provinces and cities in China, the regional eco-nomical development level is different, and so is the culture and history. Based on city consumption level indicator panel data with two dimensions of time and space, this paper carries out a clustering analysis of regional consump-tion level and developing mode, analyzes the characteristics and differences of consumption patterns in different regions, to work out the conclusion about urban consumption pattern similarities and differences. At the same time, this paper also puts forward related suggestions.%消费水平是衡量居民生活水平的重要指标，也是相关政策制定的主要依据。我国省市众多，不同地区经济发展水平不同，文化历史也存在差异。本文利用具有时间和空间两个维度的城市消费水平多指标面板数据，对各地区消费水平及发展模式进行聚类，并分析各类地区的消费模式特征及差异，从而得出关于城市消费模式相似性和差异性的结论。同时，本文还根据分析结果，对某些地区的消费模式发展问题提出具体建议。