Business cycle refers to a regular expansion and contraction of economic activities along the general trend of economic development. It is an unavoidable phenomenon in every country or region. To some extent, it reflects the developing situation and contradiction of an economic entity or even the entire world economy. With the rapid development of international trade and capital flows, the features of economic globalization are more significant and economic ties among countries or regions are closer day by day. The economic fluctuation in all countries or regions does not merely present its own characteristic, but also strongly present the tendency of co-movement. With the implemention of opening-up policy in China since 1978, it has greatly strengthened links between China and the world economy. In the mean time, with the accelerating pace of China's integration into the world economy, the business cycle co-movements or synchronization between China and the world have become increasingly evident. In this paper, we use China and its 14 major trading partners, which includes 5 developed countries, 5 developed emerging markets and 4 developing emerging markets as the research objects. And based on the relevant seasonal data of these countries from 1993 to 2016, this paper discussed the differences of international synchronization of China's business cycle between different regimes and different countries by using vector auto-regressive model with Markov regimes switching, and we find that the persistence of international coordination of China's business cycle in different regimes has asymmetric characteristics and the dynamic adjustment of China and its trade partners' economy also has the difference in the duration, the speed of response and the adjustment range while facing the impact of regime state conversion in the process of business cycle synchronization. Furthermore, this paper illustrates the transmission mechanism of international business cycle and the important factors that can affect the business cycle co-movements between China and its trade partners. Through the establishment of dynamic panel data model, using year data from 1993 to 2015 of China and its major trade partners, which includes the 14 countries and regions as well, we ues DF GMM to examine the impacts of factors like bilateral trade, intra-industry trade, bilateral direct investment, industrial structure similarity, monetary policy coordination and fiscal policy coordination to the business cycle co-movements between China and its major trade partners. Based on the estimated results, combining with the actual situation of China, we put forward relevant policy suggestions to promote sustained and coordinated economic development.