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This article investigates how talent policies affect corporate green technological innovation through executive incentive strategies based on signaling theory and principal-agent theory, by examining samples from 1,536 A-share listed companies between 2010 and 2020. The findings indicate that talent policy helps enterprises boost green technological innovation while accelerating it by improving executive compensation incentives. This effect path is more significant in high-tech enterprises and enterprises with weak solvency ratios. However, we find that the current talent policy has inhibited the green innovation of enterprises. The conclusions provide micro-evidence for the impact mechanism by which talent policy affects enterprise green technological innovation and offer scientifically based guidelines for optimizing talent policy to promote innovation-driven development strategy.

The study of technology alliance stability is rare in the literature. Research is especially sparse when exploring a technology alliance' stability based on knowledge networks. We construct a weighted two-mode bipartite affiliation network for a technology alliance consisting of academies, universities and corporations; and using the UCINET algorithms for centrality, consensus, structural hole and connectedness; we measure and analyse the effect of knowledge flow frequency on alliance stability. Our analysis reveals that as the alliance matures: (1) corporations increase in importance and universities' power decreases as the alliance moves from a research focus toward an application focus; (2) central organisations of the alliance lose importance, and the network become more balanced; (3) the network becomes more vulnerable to the removal of organisations (it become less stable); (4) members are more specialised and exhibit less communication. Our research both increases the current theoretical understanding of alliance stability and offers guidance for managerial practice. [ABSTRACT FROM AUTHOR]