摘要
文章将数字经济、要素错配与产业结构升级纳入统一分析框架,从理论和实证两方面探索数字经济通过要素错配影响产业结构升级的作用机制。基于2013—2021年的我国省级面板数据,利用固定效应模型、工具变量法、中介效应模型等方法进行实证检验。研究表明:数字经济对产业结构升级存在显著的正向影响,该结论在经过一系列稳健性检验后依然成立;机制检验结果表明,资本要素错配、数据要素错配在数字经济对产业结构升级的影响中发挥着中介作用,而劳动要素错配的中介效用尚未显现;异质性分析结果表明,数字经济对产业结构升级的促进效应具有非均衡特征,具体表现为对西部地区以及数字经济发展水平较高的地区正向影响更显著。
This paper integrates digital economy,factor mismatch,and industrial structure upgrading into a unified analytical framework,explores the mechanism of digital economy on industrial structure upgrading through factor mismatch from both theoretical and empirical perspectives.Based on the provincial panel data of China from 2013 to 2021,empirical tests are conducted by using methods such as fixed effects model,instrumental variable method,and mediation effect model.The research findings are as follows:Digital economy has a significant positive impact on industrial structure upgrading,and this conclusion still holds after a series of robustness tests.The results of mechanism test show that capital factor mismatch and data factor mismatch play a mediating role in the impact of digital economy on industrial structure upgrading,while the mediating effect of labor factor mismatch has not yet been demonstrated.The results of heterogeneity analysis show that the promotion effect of digital economy on industrial structure upgrading has non-equilibrium characteristics,specifically manifested as a more significant positive impact on the western region and regions with higher levels of digital economy development.
作者
周明生
赵杉杉
张婷婷
Zhou Mingsheng;Zhao Shanshan;Zhang Tingting(School of Economics,Capital University of Economics and Business,Beijing 100070,China;Beijing College of Finance and Commerce,Beijing 101126,China)
出处
《统计与决策》
CSSCI
北大核心
2024年第20期113-118,共6页
Statistics & Decision
基金
首都经济贸易大学研究生科技创新项目(2023KJCX081)。
关键词
数字经济
要素错配
产业结构升级
digital economy
factor mismatch
upgrading of industrial structure