摘要
从基础环境、技术支撑和工业应用三方面建立工业大数据综合评价指标体系,基于时序全局主成分分析法和空间计量模型,选取2011-2018年我国30个省市面板数据作为研究样本,系统分析了工业大数据对制造业绿色发展影响的空间溢出效应、传导机制和区域差异。结果表明:近年来,工业大数据和我国制造业绿色发展总体呈增长态势,具有明显的空间自相关性;工业大数据对制造业绿色发展具有显著的促进作用;工业大数据分指数中,工业应用指数对制造业绿色发展的影响最大;产业结构优化是工业大数据影响制造业绿色发展的重要传导机制;中西部地区制造业绿色发展受工业大数据影响更大,可借此实现跨越式发展。
This paper establishes a comprehensive evaluation index system of industrial big data from three aspects,such as basic environment,technical support and industrial application.Based on time series analysis and all-around PCA and spatial econometric models,it systematically analyzes the industrial Spatial spillover effect,transmission mechanism and regional differences of big data on green development of manufacturing industry by the panel data of 30 provinces in our country from 2011 to 2018.Results show that,in recent years,industrial big data and the green development of manufacturing industry have shown an overall growth trend with spatial autocorrelation.Industrial big data has a significant role in promoting the green development of manufacturing.In the sub-indices,the industrial application index has the greatest significant impact on the green development of the manufacturing industry.industrial structure is an important transmission mechanism of industrial big data for the green development of the manufacturing industry.The green development of the manufacturing industry in the central and western regions is more affected by the industrial big data,which can be used to achieve leapfrog development.
作者
苗效东
吕明元
张旭东
MIAO Xiao-dong;LV Ming-yuan;ZHANG Xu-dong(School of Economics,University of Chinese Academy of Social Sciences,Beijing 102488;School of Economics,Tianjin University of Commerce,Tianjin 300134)
出处
《软科学》
CSSCI
北大核心
2023年第3期1-10,共10页
Soft Science
基金
国家社会科学基金项目(20AJY007)。
