摘要
2020年新冠疫情对全球经济造成巨大冲击,我国及时采取有效的防控措施,并在"六稳"、"六保"政策基础上,实现居民消费价格指数(CPI)平稳运行。本文基于对2018-2020年全国31个省(区、市)CPI月度变化数据,采用聚类分析法对省域居民消费价格指数进行实证研究。结果显示:由于不同年份、不同地区影响居民消费品价格因素的不同,各年各省份CPI的聚类结果也不相同,这反映出不同省份在经济发展水平、消费结构、消费水平、产业结构、流通条件等各个方面存在差异性。本文的研究目的旨在为相关部门实现对CPI精准调控提供理论参考依据。
The COVID-19 epidemic in 2020 will have a huge impact on the global economy.China has taken effective prevention and control measures in a timely manner,and on the basis of the"six stability"and"six guarantees"policies,the consumer price index(C PI)has been operating smoothly.This paper is based on the data of the monthly changes in the C PI of 31 provinces(regions and cities)across the country from 2018 to 2020,and uses the cluster analysis method to conduct an empirical study on the consumer price index of provincial residents.The results show that due to the different factors affecting the price of consumer goods in different years and different regions,the clustering results of the CPI of each province in each year are different,which reflects the level of economic development,consumption structure,consumption level,industrial structure,and circulation of different provinces.There are differences in various aspects such as conditions.The purpose of this article is to provide a theoretical reference for relevant departments to achieve precise control of CPI.
出处
《价格理论与实践》
北大核心
2021年第1期116-119,174,共5页
Price:Theory & Practice
关键词
CPI
聚类分析法
消费结构
CPI
cluster analysis
consumption structure
