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Enregistrement W2811323347 · doi:10.1111/aepr.12224

Comment on “Instability in Europe and Its Impact on Asia”

2018· article· en· W2811323347 sur OpenAlexaboutno aff
Soko Tanaka

Notice bibliographique

RevueAsian Economic Policy Review · 2018
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueHousing, Finance, and Neoliberalism
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWelfare stateBrexitEuropean unionPolitical economyState (computer science)PopulismWelfare capitalismGlobalizationEuropean social modelEuropean integrationWelfarePolitical scienceEconomicsDevelopment economicsEconomic policyMarket economyLawPolitics

Résumé

récupéré en direct d'OpenAlex

Kaji (2018) explains in her introduction that three unintended consequences of European integration became renewed sources of instability and crises. While the European Union (EU) succeeded in economic integration, it has given rise to the following three unintended consequences: (i) growing anti-integrationist movements and Brexit; (ii) skepticism about the benefits of the free movements; and (iii) the burden of the welfare state, which brought social exclusion and populism movements of unemployed workers. The welfare state does not belong to European integration, but rather to each member state of the EU. So, problems of the welfare state should be checked up not at the EU but at the member state level. We saw in 2016 that the Brexit campaign led by populist politicians was victorious and Mr. Trump was chosen as the president of the USA. Although developed continental countries have guarded their welfare states, the UK departed from its postwar welfare system from the Margaret Thatcher government era in the 1980s and went step by step to a laissez-faire system of the Anglo-Saxon type similar to the USA. So, it was not the burden of the welfare state, but rather the weakness of the welfare state that strengthened populism and social exclusion. Kaji (2018) grasps postwar European integration as a continuous unity. There were qualitative changes at least twice. When the USA and the UK switched to neoliberal capitalism and financial globalization in the 1980s, the continental European Community countries had to follow up with the single market integration which began in 1985. The single market had to be followed up by monetary integration in the 1990s to avoid a possible breakup, which might have happened with attacks by hedge funds and investment banks (mainly Anglo-Saxon institutions) under the free movement of capital. The second change happened when the neoliberal global capitalist system broke down in the Lehman crisis. The crisis dramatically worsened budget deficits in almost all capitalist countries. The southern European countries fell into government debt crises, which developed into the euro crisis from 2010 onwards. After the Lehman crisis, Europe has been living in the era of the post-Lehman crisis. As Kaji (2018) explains in detail, Greece, Ireland, Italy, Portugal, and Spain, the GIIPS countries, have endured tough times. In the era of the post-Lehman crisis, income gaps, social exclusion, and populism prevail. They are problems of modern capitalism rather than those of the European integration per se, though populists peg the blame on Brussels. Kaji (2018) expects that a new Franco-German leadership will move Europe forward to tackle the three unintended consequences. The economic scene in Europe changed in 2017. Every EU country recorded positive economic growth, and higher economic growth is expected to continue in 2018 and 2019. But how will the EU be able to fight successfully against the serious problems mentioned earlier? Kaji (2018) does not appear to be so confident, since she refers to the possible defeat of President Macron in 5 years’ time. Kaji (2018) explains what happened from 1970s to the Brexit referendum and how the UK has fallen into chaos in the face of the Brexits negotiation with the EU. But, it is not so clear what made the UK exit from the EU. Kaji points out two “problems”: dissatisfaction of the voters with the present regime and the divide between the integrationists and the anti-integrationists. Her reasoning appears to be a kind of tautology and does not explain why the UK chose to exit. In her final section, Kaji (2018) discusses the impacts of possible instability in the EU on Asia and the global trading system through trade, financial, and free trade agreement (FTA) channels. Kaji (2018) says the EU is the largest guardian of free trade and explains the FTA networks of the EU with Japan, Canada, and other many countries. But, she also points out that the EU will turn protectionist. Why will the guardian of free trade turn protectionist? The answer is: there has been instability in the EU such as the North–South and the East–West divides and/or a possible government change in France or other happenings in the future. If the EU turns protectionist, Asia will receive a direct hit in trade in goods and the USA will be hit hardest in services trade. This story seems confusing. First of all, it turns everything upside down. The game changer for the global trading system is the USA under the Trump administration. It is protectionist and wants to change the global trade rules. The EU has been resisting the protectionist president in several ways. Second, is not a more careful analysis indispensable before Kaji says that the EU will turn protectionist? It seems unclear why the divides or other elements that Kaji (2018) points out will turn the EU to become protectionist. The EU maintained its multilateral free trade system during the euro crisis and even in the economic stagnation after the crisis. France will not be able to turn protectionist even under a populist government, because its economy will die. Its very high percentage export share in gross domestic product (GDP) (46%) will also exert a big impact on the EU to remain a multilateral free trader in the future. The future is unknown, but Kaji’s last section is not persuasive enough because she says that the EU will be neither a free trader nor a protectionist.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,916
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,004

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 Opus0,043
Tête enseignante GPT0,304
Écart entre enseignants0,260 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

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

En bref

Citations1
Publié2018
Routes d'admission1
Résumé présentoui

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