摘要
当今世界,产业结构进一步由工业经济向服务经济迈进,现代服务业已成为经济发展的支柱产业;制造业提质增效,很大程度是制造业和生产性服务业融合发展,融合性发展促进经济的高质量发展。江西作为欠发达地区,经济发展相对落后,在新的历史时期,迫切需要加快经济高质量发展,转变经济发展的模式,调整经济结构,促进经济的进一步提升。从江西省生产性服务业和制造业的发展现状出发,建立灰色关联度与熵权法相结合的实证模型,对制造业与选取的十个生产性服务业指标之间的耦合性进行定量分析,发现对制造业影响最大的是软件与信息技术和金融业。
The industrial structure is moving forward from the industrial economy to the sevice economy,and the modern service industry has become the pillar industry of economic development.To a large extent,the improvement of the quality and efficiency of the manufacturing industry is due to the integrated development of manufacturing and producer services,which promotes the high-quality development of economy.Jiangxi Province,as a typical representative of China's underdeveloped areas,has backward economic development and needs to follow suit in the new era.It is urgent to accelerate the high-quality economic development,transform the mode of economic development,adjust the economic structure,and promote the further development of the economy.The economic growth of Jiangxi Province mainly depends on the producer services industry and the manufacturing industry.Based on the development status of producer services industry in Jiangxi Province,this paper established an empirical model combining grey correlation degree and entropy weight method,conducted a quantitative analysis of the coupling between the manufacturing industry and the selected ten producer services indicators,and found that the software and information technology and financial industry have the greatest impact on the manufacturing industry.
作者
黄桂红
乔楠
孙鲁豫
HUANG Guihong;QIAO Nan;SUN Luyu(School of Business,Gannan Normal University,Ganzhou,341000,China)
出处
《赣南师范大学学报》
2021年第1期121-127,共7页
Journal of Gannan Normal University
基金
江西省社科“十三五”规划项目(16YJZ2)
江西省教育厅科技项目(GJJ160926)。
关键词
生产性服务业
制造业
灰色关联度
熵权法
江西省
productive service industry
manufacturing
grey correlation
entropy weight method
Jiangxi Province