Do self-organization and relational embeddedness influence free trade agreements network formation? Evidence from an exponential random graph model

被引:21
作者
Wu, Gang [1 ]
Feng, Lianyue [2 ]
Peres, Mihaela [2 ]
Dan, Jiali [3 ]
机构
[1] Southwestern Univ Finance & Econ, Sch Int Business, Chengdu, Peoples R China
[2] Hunan Univ, Sch Econ & Trade, Changsha 410079, Peoples R China
[3] Nankai Univ, Sch Econ, Tianjin, Peoples R China
基金
中国国家自然科学基金;
关键词
Free trade agreements; self-organization; relational embeddedness; ERGM; TERGM; ECONOMIC-DETERMINANTS; PREFERENCES; EVOLUTION; GRAVITY; FEATHER; BIRDS; TERMS;
D O I
10.1080/09638199.2020.1784254
中图分类号
F [经济];
学科分类号
02 ;
摘要
The rapid development of free trade agreements (FTAs) has made FTA networks an important aspect of the global economic ecosystem and governance system. This study analyzes the network properties and its evolutionary process using data for 193 economies from 1965 to 2018 and applies the Exponential Random Graph Model (ERGM) and temporal Exponential Random Graph Model (TERGM) to made empirical tests. The work aims to clarify the effect of self-organization and relational embeddedness on FTA network formation and evolution. Our findings several conclusions: (I) The FTA networks tend to cluster with a growing density by self-organization - a FTA's partners are more likely to be partners. (II) The formation and evolution of the FTA networks exhibits degree centrality and population Matthew effect. Economies with more FTA partners or population are more likely to sign FTAs with others. (III) Economies show obvious economic homogeneity and population heterogeneity in choosing FTA partners. (IV) The formation and evolution of FTA networks is significantly embedded in the international trade network, historical colonial network, and geographic contiguity network.
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页码:995 / 1017
页数:23
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