空间效应视角下数字经济对产业结构优化升级的影响研究

Research on the Influence of Digital Economy on Industrial Structure Optimization and Upgrading from the Perspective of Spatial Effect

数字经济作为一种新型经济形态,是推动产业结构优化升级的重要动力。基于2013—2021年全国30个省份的面板数据,运用熵值法对我国数字经济指数和产业结构优化升级指数进行测算,并基于地理距离、经济距离以及经济地理等3种空间权重矩阵构建空间杜宾模型,实证分析数字经济对产业结构优化升级的空间效应及作用机制。结果表明:(1)我国数字经济发展和产业结构优化升级均具有显著的空间集聚特征,北京、天津和长三角地区表现出“高—高”集聚特征,西部地区和东北地区则表现出“低—低”集聚特征。(2)从整体来看,在3种空间权重矩阵下,数字经济对产业结构优化升级均存在空间效应,且经济距离是数字经济发展推动本地区产业结构优化升级的主要影响因素,经济地理是数字经济发展推动其他地区产业结构优化升级的主要影响因素。(3)从空间异质性角度来看,在数字经济发展水平“高—高”集聚区域和“低—低”集聚区域,数字经济对产业结构优化升级的空间效应存在差异。(4)从中介效应分析来看,金融发展是数字经济促进产业结构优化升级的重要作用机制。据此,提出积极完善数字基础设施建设、因地制宜推进数字经济发展、注重数字经济对金融发展的促进作用以及充分发挥数字经济的空间溢出效应等对策建议,以期促进产业结构全面优化升级,实现经济高质量发展。

As a new type of economic form,digital economy has the characteristics of wide coverage,strong innovation,increasing marginal benefits and strong permeability,giving rise to many new industries,new modes and new demands,which can comprehensively optimize China's industrial chain,industrial efficiency and production quality,and is an important driving force to promote the optimization and upgrading of the industrial structure.Therefore,exploring the impact of the digital economy on the optimization and upgrading of the industrial structure has certain practical significance for promoting the high-quality development of China's economy.By combing the relevant studies on digital economy and industrial structure optimization and upgrading,this study conducts a theoretical analysis of the spatial effect and internal mechanism of digital economy to promote industrial structure optimization and upgrading.Based on the panel data of 30 provinces nationwide from 2013-2021,the entropy method is used to measure China's digital economy index and industrial structure optimization and upgrading index.The spatial Durbin model is constructed based on the three spatial weight matrices of geographic distance,economic distance and economic geography to empirically analyse the spatial effect and spatial mechanism of the digital economy development on the optimization and upgrading of industrial structure.The results show that:①China's digital economy development and industrial structure optimization and upgrading have significant spatial agglomeration characteristics,with Beijing-Tianjin and Yangtze River Delta regions showing"high-high"agglomeration characteristics,while western and northeastern regions showing"low-low"agglomeration characteristics.②As a whole,under the three spatial weight matrices,digital economy development has spatial effects on the optimization and upgrading of industrial structure,and the economic distance factor is the main influencing factor for digital economy development to promote the optimization and upgrading of industrial structure in this region,while the economic geography factor is the main influencing factor for digital economy development to promote the optimization and upgrading of industrial structure in other regions.③From the perspective of spatial heterogeneity,there are differences in the spatial effects of digital economy on the optimization and upgrading of industrial structure in the"high-high"agglomeration areas and"low-low"agglomeration areas of the digital economy development level.④From the analysis of intermediary effect,financial development is an important influence mechanism of digital economy to promote the optimization and upgrading of industrial structure.Accordingly,this study proposes to actively improve the construction of digital infrastructure,promote the comprehensive development of digital economy according to local conditions,promote the role of digital economy in the promotion of financial development,and actively give play to the spatial spillover effect of digital economy and other countermeasures,with a view to promoting the optimization and upgrading of industrial structure and achieving high-quality economic development.