摘要
数据要素是驱动制造业产业链与创新链(简称“两链”)深度融合的核心引擎。基于2014—2023年中国30个省份(因数据缺失,未包含西藏地区和港澳台地区)级面板数据,构建双向固定效应模型并结合多维度检验,探究数据要素对制造业产业链创新链深度融合的作用机制。结果显示:数据要素各维度对两链耦合协调度均呈显著正向促进;高新技术产业R&D经费发挥部分中介作用;以数据要素体系综合得分为门槛变量,数据要素对两链融合存在单一门槛效应;数据要素对两链融合存在显著区域异质性。
Data elements are the core engine driving the in-depth integration of the manufacturing industry’s industrial chain and innovation chain(hereinafter referred to as the“two chains”).Based on the panel data of 30 provincial-level administrative regions(due to the lack of data,the statistical data mentioned here do not include the Xizang Autonomous Region,the Hong Kong Special Administrative Region,the Macao Special Administrative Region and Taiwan Province)in China from 2014 to 2023,a two-way fixed effects model was constructed and combined with multi-dimensional tests,and the mechanism of action of data elements on the in-depth integration of the two chains was explored.The results show that all dimensions of data elements have a significant positive promoting effect on the coupling coordination degree of the two chains.R&D investment in high-tech industries plays a partial mediating role.Taking the comprehensive score of the data element system as the threshold variable,data elements exhibit a single threshold effect on the integration of the two chains,and data elements have significant regional heterogeneity in their impact on the integration of the two chains.
作者
尹龙
常洪政
YIN Long;CHANG Hongzheng(School of Economics,Harbin University of Commerce,Harbin 150028,China)
出处
《科技和产业》
2026年第6期134-142,共9页
Science Technology and Industry
基金
黑龙江省哲学社会科学研究规划项目(24JYH005)。
关键词
制造业
数据要素
产业链创新链融合
双向固定效应模型
门槛效应
manufacturing industry
data elements
integration of industrial chains and innovation chains
two-way fixed effects model
threshold effect
