摘要
提出了采用因子分析法和聚类分析法对我国各省市自治区的城镇居民消费结构进行了区域差异性实证分析和研究的方法.首先选择2003年全国31个省市自治区城镇居民消费结构的8个指标作为原始数据,从8个指标中提取因子,计算各因子的得分;然后选择两个得分较高的因子作为主因子,并采用回归算法求出综合因子的得分函数;最后计算各地区的综合因子值并以此进行聚类分析.结果表明:各省市自治区可分为五种类别,其中北京和上海最高,其次是少数几个东部沿海地区,然后是几个经济发展较好的城市和地区,其他二个类别多数是中西部地区.最后将分析模型应用到2004—2010年全国31个省市自治区城镇居民消费结构的8个指标进行分析,研究表明北京、上海和东部沿海地区的消费指标交替上升,但中西部地区的消费水平仍然较低.
This paper presents the empirical analysis and research method on regional differences of consumption structure of urban residents in 31 provinces and autonomous regions in China based on factor analysis and clustering analysis. Firstly, the 8 indicators from the consumption structure of urban residents in 31 provinces and autonomous regions in 2003 are selected as raw data. Then the factors from 8 indicators are extracted and factor scores are computed. Secondly, the two factors with highest scores are selected as the primary factors and the score function of comprehensive factor is calculated by regression algorithm; Finally, the values of comprehensive factors in all regions are calculated and analyzed through cluster method. The research result indicts that the consumption structure of urban residents in all 31 provinces and autonomous regions can be divided into five levels： the top level is Beijing and Shanghai, the seeond level is some eastern coastal areas, the third level is a few cities and regions with good economic development ; the last two levels are mainly in the middle and western areas. At last, the model is applied to analyze the 8 indicators of consumption structure in all 31 provinces and autonomous regions from 2004 to 2010. The research shows that the consumption indicators in Beijing, Shanghai and the eastern coastal areas turn up alternately, but the consumption levels of the central and western regions are still low.
出处
《浙江工业大学学报》
CAS
2012年第3期336-339,共4页
Journal of Zhejiang University of Technology
基金
浙江省自然科学基金资助项目(Y1110995)
浙江省教育厅基金资助项目(Y201017626)
关键词
消费结构
因子分析
聚类分析
回归分析
consumption structure
factor analysis
regression analysis
cluster analysis
