商学研究

本文以数字经济发展背景下城市群创新资源配置效率的提升为目标，基于2011—2022年两大城市群41个城市的面板数据，创新性地对数字经济指标进行分阶段处理，构建门槛模型和空间滞后模型，深入考察数字经济发展对城市群创新资源配置效率的影响机制与动态空间效应。研究发现:(1)数字经济能显著提升城市群创新资源配置效率，主要通过产业结构优化路径有效缓解资源错配，并通过了稳健性检验;(2)异质性分析显示，数字经济对创新资源错配的缓解效应因城市规模而异;(3)数字经济与产业结构对创新资源配置效率的影响呈现显著的非线性门槛特征;(4)分阶段检验表明，数字经济对创新资源配置效率具有显著的空间溢出效应。

Aiming to enhance the efficiency of urban innovation resource allocation in the context of digital economy development,this study utilizes panel data from 41 cities within two major urban agglomerations from 2011 to 2022. It innovatively processes digital economy indicators in stages,constructing threshold models and spatial lag models to thoroughly examine the contributing mechanisms and dynamic spatial effects of digital economy development on innovation resource allocation efficiency. The findings reveal:( 1) the digital economy significantly improves innovation resource allocation efficiency in urban agglomerations,effectively mitigating resource misallocation through industrial structure optimization,with results confirmed by robustness tests;( 2) heterogeneity tests indicate that the alleviating effect of the digital economy on innovation resource misallocation varies with city size;( 3) the influence of the digital economy and industrial structure on innovation resource allocation efficiency exhibits significant nonlinear threshold characteristics;( 4) phased tests demonstrate that the digital economy has notable spatial spillover effects on innovation resource allocation efficiency.