Changing the traditional model of development was studied to optimize the green transformation of the whole society and the path of promoting the development with green， low-carbon and recycle in the face of resource scarcity and increasing emissions of carbon. An indexes system was constructed based on the panel data of 30 provinces in China from 2010 to 2021. The entropy weighted technique for order preference by similarity to an ideal solution （TOPSIS） model， coupling and coordination degree model and spatial autocorrelation model， the coupling and coordination degree of digital economy were used to analyze the coupling and coordination degree and spatiotemporal evolution of the three systems including digital economy， development with low-carbon， and new urbanization. The results showed that the comprehensive development level of the three systems was significantly improved from 2010 to 2021， showing a spatial distribution characteristic of “high in the east and low in the west” from a regional perspective. The coupling and coordination degree of the three systems had a fluctuating upward trend， and the overall level went from barely coordination to basic coordination， with a low overall level. The three systems exhibited positive spatial autocorrelation in space， with the correlation gradually increasing and the spatial distribution evolving towards the state of aggregation. The high-high agglomeration type was mainly distributed in the southeastern coastal and central areas and had a significant diffusion trend， with a coordinated development level of “high in the southeast and low in the northwest”. Suggestions are proposed for the coupling and coordination of digital economy， development with low-carbon， and new urbanization based on results of empirical analyses. It will provide reference for strengthening regional action in chain， filling the weak spots， and promoting the development with green， low-carbon， and recycle.