摘要
依据2010-2019年天津市的数据,运用熵值法对天津市大数据产业发展水平进行综合评价。在此基础上,运用实证研究方法,分析天津市大数据产业发展对制造业转型升级的影响。实证分析结果表明,天津市大数据产业发展水平整体而言呈上升态势,且大数据产业发展水平对制造业转型升级具有优化作用,而研发强度的增强可以促进大数据产业的发展,进而促进制造业的转型升级。
Based on the data of Tianjin City from 2010 to 2019,the paper uses the entropy method to comprehensively evaluate the development level of big data industry in Tianjin City.On this basis,it makes an empirical study of the impact of big data industry development on the transformation and upgrading of manufacturing industry in Tianjin.The empirical results show that the development level of big data industry in Tianjin is on the rise as a whole,and the deve-lopment level of big data industry has an optimization effect on the transformation and upgrading of manufacturing industry while the enhancement of R&D intensity may facilitate the development of big data industry,and then promote the transformation and upgrading of manufacturing industry.
作者
程晶蓉
王倩倩
CHENG Jing-rong;WANG Qian-qian(School of Economics,Tianjin University of Commerce,Tianjin 300134,China)
出处
《天津商业大学学报》
2021年第5期62-67,共6页
Journal of Tianjin University of Commerce
基金
天津市哲学社会科学规划项目“京津冀协同发展战略下天津市产业选择研究”(TJYJ18-022)。
关键词
大数据产业
制造业
熵值法
转型升级
big data industry
manufacturing industry
entropy method
transformation and upgrading