METHODOLOGICAL BASES OF ASSESSMENT OF THE LEVEL OF DEVELOPMENT OF THE WORLD BUSINESS ENVIRONMENT: GLOBAL AND REGIONAL VIEW
Notice bibliographique
Résumé
An attempt to offer a methodology for analyzing the business environment as in a global context (of the world) as in regional level (of Ukraine), which would come from an empirical base provided by domestic world analytical organizations of the public and private sectors of the economy was made. Methodology. As part of the methodology of assessment of the level of development of the world business environment, the author conducted a preliminary analysis of twenty-five indices examined their constituents in order to avoid duplication of index components which would lead to a distortion of research results. As part of the regional methodology, an 8-stage algorithm was proposed for assessing the level of development of the business environment of the regions of Ukraine based on 40 selected and reasonable indicators that cover 7 main areas and reflect various aspects of the business environment. Results. Nine proposed indices that are in complex, its component composition, are not overlapping and complementary, so reflect and provide a quantitative description of each of the multiple facets of this phenomenon as the world business environment. An integral estimation of the business environment of Ukraine in a regional context has been carried out; an integral index of the level of development of the business environment of a region has been calculated; both of them can act as the objective quantitative criteria for the formation of regional clusters. Objective characteristics of the business climate of a certain territory (in our case, region or group of regions) are obtained. Practical implications. Following the proposed method, the analysis of the level of development of the business environment of 70 countries in the classification limits introduced by the author in previous studies (European, North American, Latin American, African, Far Eastern, Islamic, Indian, ocean), in order to further clustering and graphical interpretation of the results. The group of leaders is formed by countries that relate to different models of the business environment. The countries of the European model are Germany, Great Britain, Sweden, the Netherlands and Austria. North American model: Canada and the United States of America. Representative of the Far Eastern model is Japan, as well as Australia which belongs to other models. The group of outsiders include countries that have a poor integrated index of business environment development, they are representatives of the African (Angola, Congo, Chad), Islamic (Syria, Somalia, Sudan) and Island (Polynesia) models. The results of analyzing of the business environment of the regions of Ukraine show that in 2017 Lviv, Kyiv region became a cluster of high development. The index of development the business environment, calculated by us, proves the extremely expressed polarization and unevenness of the processes of development of territories. Value/originality. The results obtained with graphical and formulaic interpretation make it possible to understand the сondition, problems, prospects of their overcoming, to outline directions of further development and opportunities to support the business environment in the regional and global context.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,016 | 0,019 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,013 | 0,009 |
| Études des sciences et des technologies | 0,001 | 0,006 |
| Communication savante | 0,008 | 0,005 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».