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신통상정책에 나타난 EU의 FTA 추진전략과 시사점 (EU's FTA Strategies in Its New Trade Policy Initiatives and Policy Implications)

2016· preprint· ko· W3122188001 sur OpenAlexaboutno aff
Heung Chong Kim, Cheol-Won Lee, Hyun Jean Lee, Hyoeun Yang, Yoo‐Duk Kang

Notice bibliographique

RevueRePEc: Research Papers in Economics · 2016
Typepreprint
Langueko
DomaineSocial Sciences
ThématiqueEnergy and Environmental Systems
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésInternational tradeHarmonizationBusinessEuropean unionOpenness to experienceGlobalizationStandardizationMarket accessCommercial policyTechnical barriers to tradeRules of originTrade barrierEconomic integrationConformity assessmentInternational economicsSingle marketEconomicsPolitical scienceAgricultureMarket economy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Korean Abstract: 2015년 10월 EU는 신통투자전략을 발표하여 2006년 이래 지속되어온 통상정책의 새로운 기조를 이어나갔다. EU 차원에서 보다 강력하고 광범위한 통상투자정책의 수단을 구사하여 해외시장 접근성을 강화하고, EU의 이해가 걸려 있는 비관세, 서비스, 지재권, 지속가능발전 이슈 등을 상대국에 관철시켜나가고자 한다. EU의 이러한 움직임은 EU 규범의 글로벌화를 촉진하고, 신통상정책의 주요 수단인 FTA를 통해서 역내 고용과 성장에 큰 도움을 주고자 하는 분명한 목표를 갖고 있다. 이 연구는 EU 신통상정책을 심도있게 분석하여 EU의 이러한 의도가 어떻게 구현되고 있는지를 살펴보고 있다. 아울러 EU의 신통상정책이 한국의 통상정책의 방향과 내용에 주는 시사점을 찾고자 하였다. English Abstract: Since the Global Europe Initiative in 2006, the EU has conducted active trade policy measures to contribute to economic growth, job creation and social cohesion in the community. One of the conspicuous features of the new trade policy is that the EU does its best to support EU companies to benefit from better market access through new trade policy tools. Comprehensive and high-leveled bilateral FTA initiatives, among others, have rapidly emerged as a major tool of the new trade policy to achieve the goals. The aim of the research is to illuminate how the goals of the new trade policy have been achieved through EU's FTA strategies. To do this, this research focuses on the three topics of EU standards, evaluation process of market openness and the global value chain (GVC), that is, how much EU's FTA strategies have contributed to achieving globalization of EU standards, job creation through careful evaluation processes and economic growth of the community by utilizing GVCs. First, the EU has made tremendous efforts to export its standards to other countries through various FTAs. Within its Community, the EU has tried to introduce unified technical and sanitary standards, but after little progress was observed, revised its standardization strategy to adopt a narrower harmonization area, leaving more flexibility in the area of general conformity. Since 1989, the EU has conducted international standardization of its community standards, and the process has been accelerated through bilateral FTAs after the new trade policy was initiated in the mid-2000s. The Korea-EU FTA was one of the best examples of EU's efforts in standard internationalization, which was also adopted in the EU-Canada CETA and the EU-Vietnam FTA. In the mega-FTAs, EU's efforts to export its standards do not seem to be so successful, not only because the EU faced big confrontation against the U.S. throughout the TTIP negotiations, but because uncertainties have grown after Brexit and a variety of standards have sprung up in the world recently. Second, it is utmost important that the FTA evaluation process should be carefully designed and conducted properly, in order to assess any impact of FTAs on community labor markets. EU has set out four stages for this evaluation process: impact assessment (IA), sustainability impact assessment (SIA), economic assessment of the negotiated outcome, and ex post evaluation. These assessments not only encompass aspects of quantitative economic analysis, but also qualitative economic analysis and social impacts such as broad impacts on the labor market, SMEs, competitiveness, income distribution, environment, human rights, etc. The trade sustainability impact assessment (SIA), among others, is particularly interesting with regards to the impacts of FTAs on employment. In the EU-Korea FTA SIA report, it is revealed that the Korea-EU FTA would bring about positive impacts on agriculture and services employment, but minor negative impacts on the manufacturing labor market. The dairy industry, with the exception of pork, would win in the case of a EU-Canada CETA, and manufacturing including automobiles would gain in employment in the case of an EU-Vietnam FTA. The TTIP may lead positive impacts on employment through a mutual investment boom, the TTIP SIA argues. Third, the FTAs pursued by the EU make full use of expansion of GVCs. The EU has set out global standards, prevailed competition in the services market, moved to high value-added stages in GVCs, strengthened market access not only in final goods but in the intermediat

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,041

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0020,002
Communication savante0,0110,006
Science ouverte0,0010,003
Intégrité de la recherche0,0050,003
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,051
Tête enseignante GPT0,372
Écart entre enseignants0,321 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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