摘要
文章基于中国各省域投入产出表的数据,对中国省域信息化与工业化融合(两化融合)的水平进行了科学的测度,并运用面板数据模型对两化融合的影响因素进行了实证分析。结果发现中国省域两化融合的间接融合水平要大于直接融合水平,不同工业行业类型的两化融合水平也有较大的差异。另外,面板数据模型结果表明,不同的影响因素对各省域不同类型的两化融合水平的影响不完全相同,但经济实力、科技创新和信息产业投资对两化融合水平的提高有显著的正向影响。
Based on the input-output tables in the provincial of China,this paper develops scientific measurment of integration of informatization and industrialization of provinces in China,and applies Panel Data model to make an empirical analysis of factors affecting the integration of the informatization and industrialization.The results show that the level of indirect integration in provinces and regions in China is greater than the level of direct integration,and there is also a big difference between the different industries.In addition,the Panel Data model results show that the influence of different factors on the domain of different types of integration level is not exactly the same,but economic strength,technological innovation and investment in information industry have a significant positive effect on the integration of the two level.
作者
刘飞
LIU Fei(School of Economics and Management,Xi’an University of Posts and Telecommunications,Xi’an 710121,China)
出处
《西安财经大学学报》
CSSCI
2020年第1期45-50,共6页
Journal of Xi’an University of Finance and Economics
基金
陕西省软科学研究计划项目(2017KRM046)
关键词
信息化
工业化
投入产出表
消耗系数
inforuatization
industrialization
input-output table
consumption coefficient
panel data model