产业智能化对省域创新韧性的影响——基于面板数据的实证研究

The Impact of Industrial Intelligence on Provincial Innovation Resilience：Empirical Research Based on Panel Data

摘要:

智能化为产业发展提供更加准确的信息支持，实现产业之间的数据共享、智能协同和资源互补，并帮助产业提高差异化生产的能力，但其对省域创新韧性的影响机制仍有待研究。基于2010－2021年中国30个省域的面板数据，采用可行广义最小二乘法和固定效应模型，实证分析产业智能化对省域创新韧性的影响及其影响的地区异质性，并探究产业结构高级化和合理化的中介作用以及创新人才集聚的调节作用。研究发现：产业智能化显著提升了省域创新韧性；在东部和中部地区，产业智能化对省域创新韧性均存在显著提升作用，而在西部地区的提升作用不显著；产业结构高级化和合理化在产业智能化影响省域创新韧性中发挥部分中介作用；创新人才集聚增强了产业智能化对省域创新韧性的影响。为此，要加速智能化技术的研发和应用，同时引导生产要素向高级化、合理化方向发展，加大对资本和密集型产业等的投资力度。

Abstract:

Intelligence provides more accurate information support for industrial development, realizes data sharing, intelligent collaboration and resource complementarity between industries, and helps industries improve the ability of differentiated production, but its impact mechanism on provincial innovation resilience remains to be studied. Based on panel data from 30 provinces in China from 2010 to 2021, this paper adopts feasible generalized least square method and fixed effect model to empirically analyze the impact of industrial intelligence on provincial innovation resilience and the regional heterogeneity of this impact, and explores the mediating role of the upgrading and rationalization of industrial structure and the moderating role of innovative talent agglomeration. The study found that industrial intelligence has significantly improved provincial innovation resilience; industrial intelligence has significant improving roles on provincial innovation resilience in eastern and central regions, but has no significant improving role in western region; industrial structure upgrading and rationalization play a partial mediating role in the impact of industrial intelligence on provincial innovation resilience; innovative talent agglomeration enhances the impact of industrial intelligence on provincial innovation resilience. Therefore, it is necessary to accelerate the research and development and application of intelligent technology, and guide the development of production factors to a direction of upgrading and rationalization, and increase investment in capital and intensive industries.