Analysis of Spatio-Temporal Coupling Evolution Characteristics and Differences between Digital Economy and Green Logistics from the Perspective of Big Data

In the context of rapid big data development, this paper evaluates the development levels of the digital economy and green logistics in the Harbin-Changchun and Central-Southern Liaoning urban agglomerations using the Technique for Order Preference by Similarity to an Ideal Solution entropy weight method. Then, by constructing a coupling coordination indicator system, it studies the spatio-temporal characteristics of the coupling between green logistics and the digital economy in these two urban agglomerations. The results indicate significant differences within the two urban agglomerations. Large cities such as Harbin and Shenyang perform prominently in the coupling and coordination of the digital economy and green logistics, while some smaller cities lag behind. Over time, although the overall level of coupling and coordination has improved, there are still issues of uneven spatial distribution and low coupling degrees in some regions. Therefore, measures such as accelerating the deep integration of the digital economy and green logistics, strengthening inter-regional collaboration and cooperation, and adapting to local conditions are proposed, aiming to promote the overall green development and enhance the digital economy levels of the Harbin-Changchun and Central-Southern Liaoning urban agglomerations, and contribute to the goal of achieving integration in Northeast China.