BIBLIOMETRIC ANALYSIS OF HEALTH INSURANCE
Gabriela Mihaela MUREÅžAN ()
Annales Universitatis Apulensis Series Oeconomica, 2023, vol. 1, issue 25, 9
Abstract:
In a world characterized by technology, change and risk, maintaining health, and improving it as much as possible, is a subject that should be of great interest. It can be very important for insurance companies to know why people buy health insurance (HI), when people choose to buy health insurance, which are all benefits of a health policy and so on. In specialized literature is a lack of quantitative studies to review the health insurance field. This study attempts to cover this literature gap and focuses on the identification of relevant articles published in the Web of Science Core Collection. Further, we ran a bibliometric analysis to find the most repeated patterns used in health insurance. Moreover, we found that: the United States of America led the most articles, Health Affairs, Value in Health, Journal of Health Economics, and Health Economics are the most important and relevant journals on this topic, and the most repetitive keywords after health insurance are coverage, services, reform, medical care, mortality, prevalence, and risk. In addition, the present article also presents a classification of the determining factors that influence the subscription of a health insurance policy.
Keywords: bibliometric analysis; health insurance; map; VOSviewer; WOS. (search for similar items in EconPapers)
JEL-codes: G22 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:alu:journl:v:1:y:2023:i:25:p:9
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