The coevolution of trade agreements and investment treaties: Some evidence from network analysis

Social Networks Volume 61 Page 34-52 published_at 2020-05
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Title ( eng )
The coevolution of trade agreements and investment treaties: Some evidence from network analysis
Creator
Nyi Nyi Htwe
Lim Seunghoo
Source Title
Social Networks
Volume 61
Start Page 34
End Page 52
Abstract
Regional trade agreements (RTAs) and bilateral investment treaties (BITs) are expected to promote trade and investment relationships. One critical feature of such agreements is the network, so the multiplex coevolution of RTAs and BITs should be captured by the dynamics of their two networks. Although many studies have examined the roles of RTAs and BITs, most studies do not account for crucial network properties. This study explores how RTAs and BITs coevolve by applying a stochastic actor-oriented model of multiplex network evolution. In particular, we examine the roles of (i) cross-network dyadic interinfluences and (ii) within- and cross-network preferential attachments to discuss the dynamic relationships between RTAs and BITs. The results are as follows. First, our estimation supports cross-network dyadic interinfluences. Countries that sign a BIT are willing to establish an RTA, while those that sign an RTA are reluctant to establish a BIT. Second, concerning preferential attachments, countries prefer to sign BITs with partners that have more RTA and BIT links. However, countries tend to form RTAs with partners that have more BIT links but are reluctant to form RTAs with those that have more RTA links. We discuss possible justifications for these results, including arguments regarding the benefits and costs associated with the formation of RTAs and BITs.
Keywords
Trade agreements
Investment treaties
Social network analysis
multiplex coevolution
Language
eng
Resource Type journal article
Publisher
Elsevier
Date of Issued 2020-05
Rights
© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
This is not the published version. Please cite only the published version. この論文は出版社版ではありません。引用の際には出版社版をご確認、ご利用ください。
Publish Type Author’s Original
Access Rights open access
Source Identifier
[ISSN] 0378-8733
[DOI] 10.1016/j.socnet.2019.08.005
[DOI] https://doi.org/10.1016/j.socnet.2019.08.005
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