Tong Liu

Strategic Emerging Industries (SEIs) are a critical driver of China’s green transition and high-quality development; however, the Ecological and Environmental Effects of Firm Entry and Exit remain insufficiently explored. Based on micro-level data of Chinese SEI enterprises from 2009 to 2023, this study employs kernel density estimation and a panel fixed-effects model to construct a five-dimensional ecological environment evaluation system under the PSDRP framework and to examine the spatio-temporal evolution characteristics of Firm Entry and Exit and their Ecological and Environmental Effects. The results indicate that SEI enterprises exhibit agglomeration in the Eastern Region and gradual diffusion toward the Western Region, with exit activities showing higher spatial concentration. Firm Entry generates stage-specific constraining effects on the ecological environment, whereas Firm Exit alleviates ecological Pressure and enhances Resilience. Significant regional heterogeneity is observed, forming a pattern of optimization in the Eastern Region, improvement in the Central and Western Regions, and greater adjustment challenges in the Northeast Region. This study provides empirical evidence for differentiated and coordinated industrial–environmental policy design.

The rapid flow of resources and participation of diverse entities in the information age drive the formation of innovation networks, yet how these networks evolve in strategic emerging industries—particularly in transitioning regions like Northeast China—remains underexplored. This study investigates the spatial formation and evolution of cooperative innovation networks in strategic emerging industries, as well as the underlying mechanisms driving their development and transformation. Focusing on China’s three northeastern provinces—a representative old industrial base undergoing transformation—we construct and analyze inter- and intra-city cooperative innovation networks from 2009 to 2023 using invention patent data. Employing social network analysis and spatial econometric models, we reveal that while the external network exhibits limited expansion with Beijing as a dominant hub, the internal network demonstrates increasing cohesion, transitioning to a multi-core structure. Factors such as urban innovation capacity, economic proximity, and institutional proximity play key roles in shaping these networks. These findings offer policymakers empirical evidence to strategically optimize cross-regional innovation ecosystems in resource-dependent regions, supporting urban sustainability and fostering innovation-driven development.