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Is healthcare a ‘Necessity’ or ‘Luxury’? an empirical evidence from public and private sector analyses of South-East Asian countries?

Overview of attention for article published in Health Economics Review, February 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 464)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

policy
1 policy source
twitter
14 X users
facebook
3 Facebook pages

Readers on

mendeley
85 Mendeley
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Title
Is healthcare a ‘Necessity’ or ‘Luxury’? an empirical evidence from public and private sector analyses of South-East Asian countries?
Published in
Health Economics Review, February 2015
DOI 10.1186/s13561-014-0038-y
Pubmed ID
Authors

Jahangir AM Khan, Rashidul Alam Mahumud

Abstract

South-East Asian Regional (SEAR) countries range from low- to middle-income countries and have considerable differences in mix of public and private sector expenditure on health. This study intends to estimate the income-elasticities of healthcare expenditure in public and private sectors separately for investigating whether healthcare is a 'necessity' or 'luxury' for citizens of these countries. Panel data from 9 SEAR countries over 16 years (1995-2010) were employed. Fixed- and random-effect models were fitted to estimate income-elasticity of public, private and total healthcare expenditure. Results showed that one percent point increase in GDP per capita increased private expenditure on healthcare by 1.128%, while public expenditure increased by only 0.412%. Inclusion of three-year lagged variables of GDP per capita in the models did not have remarkable influence on the findings. The citizens of SEAR countries consider healthcare as a necessity while provided through public sector and a luxury when delivered by private sector. By increasing the public provisions of healthcare, more redistribution of healthcare resources can be ensured, which can accelerate the journey of SEAR countries towards universal health coverage.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Bangladesh 3 4%
Unknown 82 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 18%
Student > Master 14 16%
Researcher 13 15%
Student > Bachelor 7 8%
Student > Doctoral Student 5 6%
Other 16 19%
Unknown 15 18%
Readers by discipline Count As %
Economics, Econometrics and Finance 20 24%
Medicine and Dentistry 10 12%
Social Sciences 10 12%
Business, Management and Accounting 5 6%
Nursing and Health Professions 5 6%
Other 13 15%
Unknown 22 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 October 2022.
All research outputs
#2,885,789
of 23,996,277 outputs
Outputs from Health Economics Review
#44
of 464 outputs
Outputs of similar age
#42,349
of 364,703 outputs
Outputs of similar age from Health Economics Review
#2
of 9 outputs
Altmetric has tracked 23,996,277 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 464 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 364,703 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.