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

Social Networks 61 巻 34-52 頁 2020-05 発行
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タイトル ( eng )
The coevolution of trade agreements and investment treaties: Some evidence from network analysis
作成者
Nyi Nyi Htwe
Lim Seunghoo
収録物名
Social Networks
61
開始ページ 34
終了ページ 52
抄録
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.
著者キーワード
Trade agreements
Investment treaties
Social network analysis
multiplex coevolution
言語
英語
資源タイプ 学術雑誌論文
出版者
Elsevier
発行日 2020-05
権利情報
© 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。
出版タイプ Author’s Original(十分な品質であるとして、著者から正式な査読に提出される版)
アクセス権 オープンアクセス
収録物識別子
[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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