Artikel

Does happiness matter to health system efficiency? A performance analysis

Background The main objective of this study is to assess the performance of the global health system, emphasising the contribution of people's happiness to health system efficiency across countries. Technical efficiency (TE) scores are estimated using the output-oriented variable returns to scale (VRS) data envelopment analysis (DEA) model based on the input measures: health expenditure, labour, hospital beds and education, and the output measures: healthy life expectancy and inverse mortality index. The efficiency scores are regressed against three explanatory variables: happiness index, population density, and healthcare share of gross domestic product (GDP). The analysis involved 121 selected countries using double bootstrap DEA as proposed by Simar, L., Wilson, P.W J Econ 136:1-34, 2007. Results: The bootstrap truncated regression indicates that happiness is one of the factors that contributes significantly to health system efficiency. The study also revealed that the selected health systems perform well, on average, in terms of population density and healthcare share of GDP. Conclusions: In addition to improving the economic standard of living, policy-makers should also consider ways to increase the happiness and well-being of society. Policies focusing on well-being and happiness can lead to improved well-being and improved health outcomes, which may ultimately reduce the healthcare burden and enhance healthcare performance.

Sprache
Englisch

Erschienen in
Journal: Health Economics Review ; ISSN: 2191-1991 ; Volume: 8 ; Year: 2018 ; Issue: 33 ; Pages: 1-10 ; Heidelberg: Springer

Klassifikation
Wirtschaft
Thema
Global health system
Happiness
International benchmarking
Technical efficiency
Data envelopment analysis

Ereignis
Geistige Schöpfung
(wer)
See, Kok Fong
Yen, Siew Hwa
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2018

DOI
doi:10.1186/s13561-018-0214-6
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • See, Kok Fong
  • Yen, Siew Hwa
  • Springer

Entstanden

  • 2018

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