Analysis on Evolution Characteristics and Dynamic Mechanism of Urban Green Innovation Network: A Case Study of Yangtze River Economic Belt

Abstract

This study puts forward a logical framework for green innovation network analysis, which includes a spatial dimension, a relational dimension, and a systems dimension. Here, we put forward some basic research ideas concerning the optimization and regulation of green innovation networks in terms of the systems dimension and we investigate the micro-dynamic mechanisms of green innovation network expansion using a spatial econometric model. Our main research results are as follows: The efficiency of green innovation in the Yangtze River Economic Belt has improved significantly, however, the gap between cities has gradually increased, and a problem of efficiency regression has emerged. The green innovation network has changed from the primary stage dominated by Edge Network to the rapid growth stage dominated by Supporting Network, and formed a complex network pattern with diversified hierarchical structure. Node symmetry is helpful in forming more extroverted connections and promoting the expansion of green innovation networks. Node proximity and connection symmetry inhibit the growth and development of networks, and knowledge flow cooperation networks can accelerate the evolution of green innovation networks. Finally, this paper holds that we should combine the actual development needs, emphasize the basic principles of differentiated development, and construct the development pattern of regional collaborative innovation. This can also provide a theoretical reference for enriching our understanding of green innovation networks while narrowing the gap between cities.

Does structural social capital lead to proactive green innovation? a three-part serial mediation model

“…Fabrizi, Guarini [51] contend that research networks such as universities and public research centers positively impact green innovation. Furthermore, Zhang, Tai [52] propose that social capital, as a key conduit for the integration and exchange of green knowledge, exerts a positive influence on green innovation.…”

“…Lyu, Peng [61] posit that external social capital has an indirect effect on enterprise innovation by shaping knowledge acquisition. From an innovator's perspective, Zhang, Tai [52] suggest that green innovation within enterprises can be influenced by interactions with a wide array of primary and secondary stakeholders. The engagement between enterprises and external network participants fosters an environment conducive to green innovation [38], thereby enhancing overall green innovation efforts within the enterprise [19,20].…”

Research on the diffusion of green innovation behavior based on complex network evolutionary game

“…The SBM model, which accounts for unanticipated output, is used to measure green innovation efficiency. Due to space constraints, detailed formulas are provided in Zhang, Tai, Cheng, Cao, et al (2022) and Zhang, Tai, Cheng, Zhu, and Hou (2022). This model incorporates slack variables into the objective function, thereby mitigating the negative impact of radial and angular measurements on measurement accuracy in traditional models.…”

Accessibility and Economic Connections between Cities of the New Western Land–Sea Corridor in China—Enlightenments to the Passageway Strategy of Gansu Province

“…The National Development and Reform Commission issued the "Plan" in 2019. The number of employees in each city and the number of employees in industries with strong export-oriented functions are from the "China Urban Statistical Yearbook" (2016, 2018, 2020) published on the official website of the National Bureau of Statistics (www.stats.gov.cn, accessed on 27 May 2021) [39]. Additionally, traffic network data are obtained from the OSM (www.openstreetmap.org, accessed on 5 July 2021) website.…”