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In the digital economy era, the interaction between digital industry agglomeration (DIA) and digital–intelligent technology application (DIT) is pivotal for enhancing green productivity (GP). This study evaluates GP across three dimensions: labourers, means of labour, and objects of labour. Adopting both the external perspective of regional innovation resources and the internal perspective of enterprise innovation allocation, the research applies simultaneous equation models, moderated mediation models, threshold models, and spatial Durbin models to assess how DIA–DIT synergy affects GP. The findings are as follows: (1) DIA and DIT reinforce each other by combining external resource provision with internal resource orchestration, which reduces innovation resource misallocation and promotes GP, with knowledge breadth amplifying this effect. (2) The positive effect of DIA–DIT synergy on GP shows diminishing marginal returns beyond a certain synergy threshold; by contrast, when regional knowledge breadth and innovation exceed their respective thresholds, their favourable impact on GP is amplified. (3) The spatial spillover of this synergy on GP varies with development stage: in less developed regions, DIA–DIT synergy yields a positive spatial spillover for GP, while in developed regions it produces a negative spillover for neighbouring areas. Overcoming these threshold constraints and harnessing spatial spillovers are therefore essential to foster coordinated development and realise the full potential of GP.
Liu et al. (Thu,) studied this question.