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Industrial Technology Progress

Research on the Influence of Digital Economy on Industrial Struc⁃ ture Optimization and Upgrading from the Perspective of Spatial  Effect

Guo Na1,2 , Xing Yuna1

(1.School of Business, Hebei University of Economics and Business, Shijiazhuang 050061, China；2.Modern  Business Service Research Center, Hebei University of Economics and Business, Shijiazhuang 050061, China）

Abstract: As a new type of economic form, coverage, strong innovation  digital economy has the characteristics of wide  , 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 driv⁃ ing force to promote the optimization and upgrading of the industrial structure. Therefore, explor⁃ ing the impact of the digital economy on the optimization and upgrading of the industrial struc⁃ ture 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 optimiza⁃ tion 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 in dex. The spatial Durbin model is constructed based on the three spatial weight matrices of geo ⁃ ⁃ graphic distance, economic distance and economic geography to empirically analyse the spatial  effect and spatial mechanism of the digital economy development on the optimization and up⁃ grading of industrial structure. The results show that:① China's digital economy development  and industrial structure optimization and upgrading have significant spatial agglomeration char⁃ acteristics, with Beijing-Tianjin and Yangtze River Delta regions showing "high-high" agglom⁃ eration characteristics, while western and northeastern regions showing "low-low" agglomeration  characteristics.②As a whole, under the three spatial weight matrices, digital economy develop ment has spatial effects on the optimization and upgrading of industrial structure, and the eco ⁃ ⁃ nomic 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 geogra phy factor is the main influencing factor for digital economy development to promote the optimi ⁃ ⁃ zation 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" ag⁃ glomeration 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 ac tively 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 pro⁃ motion 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.

Key words: digital economy; industrial structure; optimization and upgrading; spatial Durbin  model; spatial spillover effect