摘要
贵州作为国内率先引入大数据等新兴产业的省份,其经济发展一直以来颇受人们的关注。而财政收入是地方经济发展的重要因素,因此该文将以贵州省财政收入为主要研究对象,收集2004—2019年的相关经济指标并运用Rstudio软件进行数据处理,并做主要变量的描述性统计、相关性分析,通过灰色预测模型对地方财政收入进行预测,得出贵州省2020年和2021年财政收入的预测值,对贵州财将来政收入规划具有一定的参考价值。
As the first province to introduce big data and other emerging industries in China,Guizhou’s economic development has always attracted people’s attention.Fiscal revenue is an important factor in local economic development.Therefore,this paper will take the fiscal revenue of Guizhou Province as the main research object,collect relevant economic indicators from 2004 to 2019,use Rstudio software for data processing,make descriptive statistics and correlation analysis of main variables,and predict local fiscal revenue through grey prediction model,the predicted financial revenue of Guizhou Province in 2020 and 2021 is obtained,which has a certain reference value for the future financial and political revenue planning of Guizhou Province.
作者
刘德伟
LIU Dewei(Guizhou University of Finance and Economics,Guiyang,Guizhou Province,550025 China)
出处
《科技资讯》
2021年第20期187-189,共3页
Science & Technology Information
关键词
财政收入
描述性统计
相关性分析
灰色预测
Financial revenue
Descriptive statistics
Correlation analysis
Grey prediction
