How does network structural embedding stimulate the ability of regional green technology innovation: a case study of Hubei province

Green Technology Innovation (GTI) is widely acknowledged as a pivotal strategy that harmonises economic development and environmental preservation. In parallel, innovation networks have emerged as potent mechanisms empowering regional innovation. Therefore, a pivotal regarding the advancement of GTI revolves around the strategic utilisation of network embedding to foster its development. However, existing research has not provided a comprehensive analysis of the mechanism. Our study leverages both Network Embedding Theory and Game Theory to construct a game model of enterprise GTI under NSE scenarios. Then, utilising Hubei Province as a sample, we undertake empirical testing by using both a negative binomial regression model and a non-equilibrium threshold effect model. The findings suggest that NSE plays a substantial role in augmenting regional GTI, and this effect can be further magnified by the scale of regional enterprises and the level of R&D funding. Across various threshold intervals of NSE, its positive feedback effect exhibits fluctuations. However, it serves to alleviate the hindrances posed by the scale of regional enterprises to GTI and enhances the efficacy of R&D funding utilisation. The results enrich the research of NSE theory in urban GTI, and have important management significance for the formulation of GTI policies globally.