Эффективность взаимодействия «Деловой двадцатки» и «Группы двадцати»
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Notice bibliographique
Résumé
Marina Larionova - Dr. of Political Science, Head of International Organisations Research Institute (IORI)of the National Research University Higher School of Economics, 20 Myasnitskaya, 101000, Moscow, Russian Federation; E-mail:mlarionova@hse.ruMark Rakhmangulov- Deputy Director of the Global Governance Research Centre of the International Organisations Research Institute (IORI)of the National Research University Higher School of Economics, 20 Myasnitskaya, 101000, Moscow, Russian Federation; E-mail:MRakhmangulov@hse.ruAndrei Sakharov- Researcher at the Global Governance Research Centreof the International Organisations Research Institute (IORI) of the National Research University Higher School of Economics, PhD student of the Department of International Affairs of the Faculty of World Economy and International Affairs of the National Research University Higher School of Economics,101000, 20, Myasnitskaya, Moscow, Russian Federation; E-mail:agsakharov@hse.ruAndrey Shelepov- Researcher at the Global Governance Research Centreof the International Organisations Research Institute (IORI) of the National Research University Higher School of Economics, 101000, 20, Myasnitskaya, Moscow, Russia; E-mail:ashelepov@hse.ruValerie Ganzhela- Graduate of the Master Programme, Faculty of World Economy and International Affairs of the National Research University Higher School of Economics, 101000, 20, Myasnitskaya, Moscow, Russian Federation; E-mail:valerie_ganzhela@mail.ruEkaterina Ivanova- Student of the Faculty of Public Administration of the National Research University Higher School of Economics, 101000, 20, Myasnitskaya, Moscow, Russian Federation; E-mail: bigdeals.hse@gmail.comDina Karakash- Student of the Faculty of World Economy and International Affairs of the National Research University Higher School of Economics, 101000, 20, Myasnitskaya, Moscow, Russian Federation; E-mail:dina9393@mail.ruAnton Komarov- Student of the Faculty of World Economy and International Affairs of the National Research University Higher School of Economics, 101000, 20, Myasnitskaya, Moscow, Russian Federation; E-mail:komar94@inbox.ruMaya Kostina- Graduate of the master programme, Department of Public Policy of the National Research University Higher School of Economics, 101000, 20, Myasnitskaya, Moscow, Russian Federation; E-mail: kostina.maya@gmail.comYana Nyrsubina- Student of the International College of Economics and Finance of the National Research University Higher School of Economics, 101000, 20, Myasnitskaya, Moscow, Russian Federation; E-mail:nys0107@gmail.comAlice Prokhorova- Student of the Faculty of Public Administration of the National Research University Higher School of Economics, 101000, 20, Myasnitskaya, Moscow, Russian Federation; E-mail:alicepro@mail.ruPavel Prokopyev - Graduate of the Faculty of World Economy and International Affairs of the National Research University Higher School of Economics; 101000, 20, Myasnitskaya, Moscow, Russian Federation; E-mail:pavel.prokopyev@gmail.comSergej Rastoltsev-PhD student of the Institute of World Economy and International Relations of the Russian Academy of Sciences, 117997, 23, Profsouznaya, Moscow, Russian Federation; E-mail: sergej-ras@yandex.ruAndrei Scriba- PhD student of the Faculty of World Economy and International Affairs of the National Research University Higher School of Economics, 101000, 20, Myasnitskaya, Moscow, Russian Federation; E-mail:askriba@gmail.comKira Zatzepina- Student of the Faculty of World Economy and International Affairs of the National Research University Higher School of Economics,101000, 20, Myasnitskaya, Moscow, Russian Federation; E-mail:loskiros.music@gmail.comAnastasya Zhuravleva- Student of the Faculty of Politics of the National Research University Higher School of Economics, 20, Myasnitskaya, Moscow, Russia 101000; E-mail:anastasiya.zhuravleva93@gmail.comAbstractThe article reviews the progress of G20-B20 engagement since Toronto to St. Petersburg with the objective to identify which mechanisms and areas of cooperation are most effective to ensure continuity of the B20 efforts on the key priorities, the B20 influence on the G20 decision-making and the G20 compliance with commitments related to the B20 priorities. With this objective in mind the study is focused on two dimensions. The first dimension is B20 recommendations influence on G20 deliberation, direction setting and decision making on the basis of analysis of how the B20 specific recommendations are reflected in the G20 documents. The second dimension is B20 influence on the G20 delivery on the pledges made, which is assessed by monitoring the G20 compliance with the B20 related commitments.The authors assess the average level of the B20 recommendations reflection in the G20 documents as considerable, however its dynamics across presidencies is mixed. The average level of G20 members’ compliance on the B20 related commitments is lower than the G20 average score for compliance with general non B20 focused commitments. It can be explained by a shorter monitoring period and by the fact that the B20 related commitments are more specific. Key areas where cooperation can be most effective (financial regulation, employment, investments, trade) have been identified. Key factors of success have been revealed. The analysis shows that a high level of B20 recommendations’ inclusion into the G20 documents and actions does not guarantee subsequent implementation of the commitments made. The B20 should ensure continuity on their priority recommendations in the dialogue with the G20 and engage in the follow up process by more actively participating in the G20 agreed initiatives and projects at the national and global levels.Progress on the B20 related commitment should be reviewed and made public for each summit. It can help to increase the level of effectiveness of B20 and G20 engagement.
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.
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,002 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,112 | 0,047 |
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.
score_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