摘要
运用聚类算法与多元线性回归研究新乡市各县区经济发展情况。建立城镇居民人均生活消费支出与国民生产总值、社会消费品零售总额等变量的多元线性回归模型,结论是国民生产总值、房地产投资对城镇居民人均生活消费有正向促进作用。城镇居民人均可支配收入、居民消费总指数、社会消费品零售总额对城镇居民人均生活消费有负向促进作用。分析新乡市数字经济发展情况,给出数字经济与实体经济融合发展的具体措施。提出农业、交通物流、生活服务和医疗健康产业数字化转型发展具体建议,助推产业数字化发展。
Clustering algorithm and multiple linear regression are used to study the economic development of each county in Xinxiang City.The multiple linear regression model of the living consumption expenditure of urban residents'per capita,GNP,total retail sales of social consumer goods and other variables is established.The conclusion is that GNP and real estate investment have a positive effect on urban residents'per capita living consumption.The per capita disposable income of urban residents,total consumption index and total retail sales of social consumer goods have a negative effect.The paper analyzes the development of digital economy in Xinxiang City,and gives the concrete measures for the integration of digital economy and real economy.Based on the development situation,specific suggestions on the digital transformation and development of agriculture,transportation and logistics,life services,medical and health care are given to boost the digital development of industries.
作者
张如梦
Zhang Rumeng(Department of Mathematics and Statistics,Xinxiang University,Xinxiang He’nan 453003)
出处
《山东纺织经济》
2021年第3期12-15,共4页
Shandong Textile Economy
基金
新乡市政府决策研究招标课题“加快推进新乡市数字经济与实体经济融合发展”(编号:B20165)。
关键词
数字经济
产业数字化
多元线性回归
聚类分析
digital economy
industrial digitization
multiple linear regression
clustering analysis