Comparative study of care expenditures for private and public health
Notice bibliographique
Résumé
Introduction: Health is one of the most important factors of human capital. Health affects labor supply both qualitatively (higher productivity) and quantitatively (not missing working days due to illness). Most countries have experienced a rapid growth in their health care costs in the past years. But nfortunately, some countries still think that any activity in the field of improving health will increase costs It should be noted that the skilled workforce can be the focus of development and increase production when it has physical health and a cheerful spirit. Although health expenses and then human capital play a significant role in the development of societies, however, the factors affecting health expenses and the impact of each of its constituent factors have not been well investigated and analyzed.Therefore, according to the increasing growth of the expenses of this sector, it seems important to identify the components that affect the health expenses.Therefore, in order to properly plan in the health-economic fields, one should have a precise and accurate understanding of the factors affecting health expenditures.The same subject led the current research to investigate the comparative-comparative factors affecting private and public health care expenditures in selected developed and developing countries.Methodology: This research used time series data for the period 2000-2019 and based on the panel data method, the variables affecting health expenditure for the private and public sectors of 15 selected developed countries including: Switzerland, Australia , Canada, Netherlands, Singapore, Germany, Sweden, Italy, USA, Norway, France, Japan, Denmark, Austria and Belgium; And also 15 selected developing countries including: Islamic Republic of Iran, Turkey, Georgia, Azerbaijan, China, Serbia, Ukraine, Peru, Lebanon, Panama, Albania, Armenia, Cuba, Mexico and Costa Rica will be analyzed and investigated. Variables of gross domestic product (GDP), life expectancy (EXP), population over 65 years old (POP), population under 14 years old (age), urbanization rate (URB), literacy rate (EDU), out-of-pocket payments (OOP) And foreign aid (ODA) is one of the influencing factors on health care expenses in this research. Also, the statistics and figures used in this research were extracted from the World Bank and the World Atlas (Knoema).Results and Discussion: The variable coefficient of GDP, which is one of the effective variables in private and public health care expenditures in developed and developing countries, is positive and significant; the estimated coefficient of life expectancy variable is positive and significant.The impact of the variable population over 65 years old in developed and developing countries in both private and public sectors has been positive and significant.Also, the population under 14 years of age in both groups of developed and developing countries had a negative and significant relationship with health care expenditures in both private and public sectors; Also, the variable impact of urbanization rate in developed and developing countries has been positive and significant in both private and public sectors;The effect of the out-of-pocket variable has been negative and significant in developed countries and positive and significant in developing countries .And the variable coefficient of foreign aid in developing countries is negative and significant. And finally, the results of this study showed that there is no significant statistical relationship between the literacy rate and health costs.Conclusion: Considering the share of public and private sectors in health expenditures in developing countries, governments, as the largest public institution, should take the necessary measures to increase the share of public sector in health expenditures.
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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».