The concept of the “space of flows” emphasizes cross-space resource sharing arising from element flows in the digital age and has become an important topic in digital economy (DE) research. The DE is a key driver of global economic growth, whereas carbon emissions (CE) remain a major barrier to achieving global sustainable development goals. Existing research primarily examines the DE-CE relationship from a static perspective based on regional attributes. However, there is a lack of in-depth analysis on the digital economy spatial correlation network (DESCN) and its impact on CE from the perspective of the space of flows. This study aims to address this academic gap within the Chinese context. Our study applies the modified gravity model and social network analysis (SNA) method to characterize the DESCN, and further uses fuzzy set qualitative comparative analysis (fsQCA) to explore the network’s influence on CE. The key findings are as follows: (1) The DESCN exhibits multi-threaded and densifying characteristics, with increasingly frequent inter-regional cooperation, closer internal connections, and a continuously expanding overall scope. (2) While the DESCN exerts a significant overall impact on CE, its specific effects vary significantly. Simply elevating a region’s status within the network is not enough to achieve regional carbon reduction and may even result in increased emissions. (3) To fully unlock the carbon reduction potential of the DE, regions must consider other factors, including population size, energy consumption, industrial structure, and openness.
Wang et al. (Tue,) studied this question.