Influencing factors and spatial correlation characteristics of technological innovation resources in Shaanxi Province
摘要
The spatial allocation and correlation characteristics of STIR have a profound impact on regional development. This study focuses on 10 major cities in Shaanxi Province, using panel data from 2012 to 2021. It employs both the spatial lag model and the spatial error model, while also integrating global and local spatial autocorrelation analyses to systematically examine how STIR, including R&D funding, R&D personnel, and R&D enterprises, influences regional innovation capacity and its spatial evolution. The results indicate that the impact of STIR is substantially stronger than that of environmental and policy factors, with R&D personnel having the most significant influence. Although the overall amount of STIR in Shaanxi Province has risen dramatically, spatial differentiation has intensified. Specifically, the distribution of R&D funding and enterprises tends to be uneven, while the distribution of R&D personnel has become more balanced. The spatial agglomeration of resources has persisted, with an increase in the availability of R&D personnel. The total amount of STIR in Shaanxi Province has increased dramatically, but the spatial differentiation has intensified-the distribution of R&D funding and enterprises tend to be discrete, while R&D personnel is gradually balanced. In light of these findings, we propose a policy framework characterized by “spatial equilibrium-synergistic network-efficiency enhancement-long-term guarantee”. Through integrating resource allocation, strengthening regional cooperation, optimizing resource sharing, and establishing a dynamic detection mechanism, we aim to address the contradiction between “center polarization” and the “vulnerability of spatial association”. This approach can promote spatial equilibrium and synergistic development of STIR in Shaanxi Province and offer theoretical and practical references for innovation governance in the inland region.