Spatial-temporal coupling and industrial green growth effects of digital resources-industrial innovation-ecological environment: A case study from China.

As a core element in the digital economy, data exerts a multiplier effect through integration with other elements. How to synergize regional innovation and ecological and environmental protection to circumvent environmental pollution and ecological damage brought by industrialization. We use the improved coupled coordination model, spatial autocorrelation model, and K-means method to analyze the level of coupled coordination (CCD) and evolutionary modes of digital resources, industrial innovation, and ecological environment (D-I-E) in China. An econometric model was used to test the industrial green growth effect of D-I-E coupling. It is found that (1) Digital resources and industrial innovation to maintain rapid growth, the ecological environment has declined, and there is a significant spatial imbalance. (2) The upward trend of CCD shows the spatial differentiation of "high in the south and low in the north, high in the east and low in the west". The overall spatial positive correlation is obvious, showing the characteristics of high-high or low-low agglomeration. (3) Based on the stage characteristics of the D-I-E subsystem and CCD, we summarize a similar stage transformation sequence. Moreover, we define four evolution modes: industry-environmental influence mode, digital-talent driven mode, innovation-economy led mode, and zone-ecological control mode. (4) The coupled development of D-I-E can significantly promote industrial green growth with nonlinear characteristics, and industrial intelligence, power utilization efficiency and green technology innovations have an indirect effect. The conclusions of the study emphasize the importance and the type of evolution of D-I-E coupling and also provide the basis and inspiration for the sustainable and coordinated development of digital, industrial, and green economies.