Study on Net Investment in the National Economy in 2017
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Notice bibliographique
Résumé
As we know, economic growth can be achieved either on the account of consumption or on the account of investment, access to community funds or the middle, mixed, by establishing realistic proportions between consumption and investment so as to ensure an increase in the level of living as well as increasing job-creating investments to absorb the unoccupied population, to create a wider tax base and much more. In this article I made a study on the net investments made in the national economy that were materialized in new construction works, the purchase of machinery, including means of transport, as well as other expenses that are made in this field. Also, referring to housing construction, it was mentioned how it evolved in the fourth quarter of 2017 as compared to 2016, how it evolved throughout the year, and especially how these investments materialized in finished work on environments residence and funding resources, with the emphasis being on the fact that there is a higher share of urban investment in the construction of housing. Further analysis of the housing completed by development regions was made, emphasizing that Bucharest-Ilfov, the North West and the North-East area were the most active in developing such investments. In the study, the authors used a series of data published by the National Institute of Statistics, revealing on the basis of series of data and graphic representations the issues discussed in this article. It is revealed that in principle these investments have increased with the exception of the fourth quarter of 2017, when compared to the same quarter of 2016, both in urban and rural areas but also in the use of private and public funds – have registered some decreases. Probably this is also due to the fact that climate factors, temperatures, and so on. did not make it possible to use the possibilities of continuation of construction works. The study is balanced and reveals successive developments in this area, based on seasonally adjusted gross or series data.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,003 |
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