Abstract: The transmission mechanism and coordination among regional economic growth are important topics of growth research in recent years. Especially since the outbreak of the epidemic, this kind of research has become an indispensable part of national risk management. Therefore, this paper uses the non-linear Granger causality test and the modified C-M correlation index to study the transmission direction and correlation mechanism of China’s regional economic growth. The main conclusions are as follows: First, from the perspective of large geographic divisions, China’s overall economic growth has achieved a new type of“flying geese array”structure, that is, the east takes the lead and the whole nation pulls the other three regions. It shows that the national growth map has initially achieved interconnection. Second, in terms of more detailed urban agglomeration, the transmission mechanism of growth is obviously complicated, it includes not only the similar“flying geese array”transmission in the Beijing-Tianjin-Hebei-Shandong urban agglomeration, but also the linear chain transmission in the Yangtze River Delta urban agglomeration as well as the none transmission network in the middle and far western urban agglomeration, which shows that unbalanced, inadequate and disconnected development are still widespread among the small urban agglomeration. Third, in terms of the growth dependence of the geographic regions, regional coordination is the main tone of the growth linkage in various regions, which shows that the economic development of various regions in China is still manifested as synergy rather than a beggar-thy-neighbour. Finally, a gratifying phenomenon is that the synergy of growth within the major sub-regions has increased significantly after 2013, which shows that China’s urban agglomeration construction has achieved remarkable progress, and the growth synergy in small areas has been substantially improved.

Keywords: Regional Economic Growth; Growth Transmission; Growth Synergy; the Non-linear Grange Causality Test; the Modified C-M Index