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Why your neighbor matters: Positions in preferential trade agreement networks and export growth in global value chains

DC Field Value Language
dc.contributor.authorPark, Jong Hee-
dc.contributor.authorKim, Byung Koo-
dc.date.accessioned2023-07-04T05:41:12Z-
dc.date.available2023-07-04T05:41:12Z-
dc.date.created2020-06-26-
dc.date.issued2020-11-
dc.identifier.citationEconomics and Politics, Vol.32 No.3, pp.381-410-
dc.identifier.issn0954-1985-
dc.identifier.urihttps://hdl.handle.net/10371/194688-
dc.description.abstractIn rapidly expanding global and regional preferential trade agreements (PTA) networks, policy-makers are keen to situate their countries in a better position, believing that a better position in PTA networks will help their economies trade more and grow faster. In this paper, we provide a theory that explains how changes in countries' PTA network positions affect their trade performance. We argue that a dense and deep "neighbor network" provides a country with a wide access to global value chains, better protection to investment, and strong credibility to their policy commitments. To measure trade performance, we compute value-added exports at the country, year, and industry level across 43 countries, 56 industries, and 15 years (2000-14). The estimation of network position effects is done by panel fixed-effects methods and the sample-splitting and cross-fitting double machine-learning method. The findings show that as a country's neighbors have deeper and wider PTA networks, the country's value-added exports grow faster. Also, the industry-level analysis shows that sectors heavily engaging in the fragmentation of production stages exhibit faster growth with the improvement of neighbor networks.-
dc.language영어-
dc.publisherBlackwell Publishing Inc.-
dc.titleWhy your neighbor matters: Positions in preferential trade agreement networks and export growth in global value chains-
dc.typeArticle-
dc.identifier.doi10.1111/ecpo.12152-
dc.citation.journaltitleEconomics and Politics-
dc.identifier.wosid000512802300001-
dc.identifier.scopusid2-s2.0-85079443078-
dc.citation.endpage410-
dc.citation.number3-
dc.citation.startpage381-
dc.citation.volume32-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorPark, Jong Hee-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordPlusCENTRALITY-
dc.subject.keywordPlusSELECTION-
dc.subject.keywordPlusFIRM-
dc.subject.keywordAuthordouble machine-learning method-
dc.subject.keywordAuthorglobal value chain-
dc.subject.keywordAuthorhub-
dc.subject.keywordAuthorneighbor network-
dc.subject.keywordAuthorpositional advantages-
dc.subject.keywordAuthorpreferential trade agreement-
dc.subject.keywordAuthorvalue-added exports-
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