人工智能与就业质量的协同效应研究——基于省级面板数据的实证分析

Research on the Synergistic Effect of Artificial Intelligence and Employment Quality—Empirical Analysis Based on Provincial Panel Data

摘要: 研究人工智能时代下如何提升就业质量的前提为厘清二者之间的协同关系以及内在联系。文章以全国30个省区市为研究对象，从协同层面和交互影响角度出发，测算人工智能和就业质量综合指数，借助耦合协调度模型和PVAR模型讨论地区间两系统的协同演化特征和交互响应关系。研究发现：1) 区域发展存在梯度差异与内部差异。2) 全国整体两系统协调处于磨合期，核心省份示范效应突出。3) 劳动力素质构成协同发展的核心枢纽。

Abstract: The prerequisite for studying how to improve employment quality in the era of artificial intelligence is to clarify the synergistic relationship and intrinsic connection between the two. The article takes 30 provinces, autonomous regions, and municipalities across the country as the research object, and calculates the comprehensive index of artificial intelligence and employment quality from the perspective of collaboration and interactive impact. Using the coupling coordination degree model and PVAR model, it discusses the collaborative fireworks characteristics and interactive response relationship between the two systems in different regions. Research has found that: 1) regional development gradient differences are correlated with internal differences. 2) The overall coordination between the two systems in the country is in a period of adjustment, and the demonstration effect of core provinces is prominent. 3) The quality of labor force constitutes the core hub of collaborative development.