全球商品贸易网络生长特征及动力机制

In the era of economic globalization, with the frequent commodity flows between countries and prominent characteristics of commodity trade networking, it is urgent to explore the interactions and evolution mechanism of global commodity trade based on the logic of the relationship network. Combining the social network analysis method and ArcGIS visualization tool and based on the data of commodity trade flow in various countries from 1996 to 2016, this study revealed the growth process, spatial patterns, and dynamic mechanism of the global commodity trade network. The results indicate that: (1) The network shows expansionary growth, and the“big triangle”of spatial structure with the interaction of three cores is becoming increasingly more mature. The advantages of the three commodity trade clusters also become clearer. The cluster led by China has expanded dramatically, while those led by the United States and Germany have shrunk. Division of labor in the network is clear among countries, and the network functions are significantly different and show different characteristics of change. (2) The growth of global commodity trade networks is driven by endogenous dynamics such as self-organization, national matching, national distribution, as well as external thrusts such as exogenous network embedding. Reciprocal relationships are the main structure of self-organization. National income levels, market opening convergence, and institutional environment heterogeneity are the key factors of matching. Economic advantages and industrial competitiveness are important foundations of distribution. The colonial history network, the international student exchange network, the language isomorphism network, and the cooperative publication network are important exogenous networks. The law of comparative advantage is still applicable to explain the growth of global commodity trade networks, especially for national matching and distribution.