The estimation of production function in Orumieh Medical Sciences University hospitals

Introduction: Hospital is known as an important and the most costly performing unit of health care systems, therefore, economic analysis of this unit is very important Methods: This study designed to estimate hospital production function in Orumieh Medical Sciences University hospital's. for th...

Full description

Bibliographic Details
Main Authors: M Hadian, MR Gohari, M Yousefi
Format: Article
Language:fas
Published: Iran University of Medical Sciences 2007-10-01
Series:مدیریت سلامت
Subjects:
Online Access:http://jha.iums.ac.ir/article-1-45-en.html
id doaj-1397d9a741fd4fe0995cbba1d9b58308
record_format Article
spelling doaj-1397d9a741fd4fe0995cbba1d9b583082020-11-25T02:17:21ZfasIran University of Medical Sciencesمدیریت سلامت2008-12002008-12192007-10-011029714The estimation of production function in Orumieh Medical Sciences University hospitalsM Hadian0MR Gohari1M Yousefi2 Introduction: Hospital is known as an important and the most costly performing unit of health care systems, therefore, economic analysis of this unit is very important Methods: This study designed to estimate hospital production function in Orumieh Medical Sciences University hospital's. for this study 16 hospitals were studied. We used panel data for estimation of mentioned function, data were gathered from 2000 to 2006. A double- logged form of the Cobb-Douglas production function has been estimated. The dependent variable is inpatient admissions, the explanatory variables that are included are the umber of doctors, nurses, beds, other staffs and average length of stay (ALOS). Results: As a result of study the elasticity of doctors is EY. P =1.08 , the elasticity of nurses is EY. N =3.4 , the elasticity of beds is EY. B =1.4 , and the elasticity of other staffs is EY. P P =2.8. There was not significant correlation between ALOS and the number of admission. The marginal production of inputs are MPP =391 , MPN=244 , MPB=103 , MPP P =273 , and, there is an increasing return to scale. Also, we have investigated MRTS1 between production factors. Conclusion: Results of this study show that, the maximum elasticity is attributable to the number of nurses and then respectively to, other staffs, beds and doctors. The marginal production of inputs shows an important role of doctors in production. The decision makers, in critical circumstances can substitute inputs with considering MRTS between inputs. There is an increasing economic of scale and in long-term there will be a monopolistic competition market, therefore, for achievement to equity issue, the intervention of government in this hospitals market is necessary.http://jha.iums.ac.ir/article-1-45-en.htmlProduction functionPanel dataMarginal productionMarginal rate of technical substitutionReturn to scale.
collection DOAJ
language fas
format Article
sources DOAJ
author M Hadian
MR Gohari
M Yousefi
spellingShingle M Hadian
MR Gohari
M Yousefi
The estimation of production function in Orumieh Medical Sciences University hospitals
مدیریت سلامت
Production function
Panel data
Marginal production
Marginal rate of technical substitution
Return to scale.
author_facet M Hadian
MR Gohari
M Yousefi
author_sort M Hadian
title The estimation of production function in Orumieh Medical Sciences University hospitals
title_short The estimation of production function in Orumieh Medical Sciences University hospitals
title_full The estimation of production function in Orumieh Medical Sciences University hospitals
title_fullStr The estimation of production function in Orumieh Medical Sciences University hospitals
title_full_unstemmed The estimation of production function in Orumieh Medical Sciences University hospitals
title_sort estimation of production function in orumieh medical sciences university hospitals
publisher Iran University of Medical Sciences
series مدیریت سلامت
issn 2008-1200
2008-1219
publishDate 2007-10-01
description Introduction: Hospital is known as an important and the most costly performing unit of health care systems, therefore, economic analysis of this unit is very important Methods: This study designed to estimate hospital production function in Orumieh Medical Sciences University hospital's. for this study 16 hospitals were studied. We used panel data for estimation of mentioned function, data were gathered from 2000 to 2006. A double- logged form of the Cobb-Douglas production function has been estimated. The dependent variable is inpatient admissions, the explanatory variables that are included are the umber of doctors, nurses, beds, other staffs and average length of stay (ALOS). Results: As a result of study the elasticity of doctors is EY. P =1.08 , the elasticity of nurses is EY. N =3.4 , the elasticity of beds is EY. B =1.4 , and the elasticity of other staffs is EY. P P =2.8. There was not significant correlation between ALOS and the number of admission. The marginal production of inputs are MPP =391 , MPN=244 , MPB=103 , MPP P =273 , and, there is an increasing return to scale. Also, we have investigated MRTS1 between production factors. Conclusion: Results of this study show that, the maximum elasticity is attributable to the number of nurses and then respectively to, other staffs, beds and doctors. The marginal production of inputs shows an important role of doctors in production. The decision makers, in critical circumstances can substitute inputs with considering MRTS between inputs. There is an increasing economic of scale and in long-term there will be a monopolistic competition market, therefore, for achievement to equity issue, the intervention of government in this hospitals market is necessary.
topic Production function
Panel data
Marginal production
Marginal rate of technical substitution
Return to scale.
url http://jha.iums.ac.ir/article-1-45-en.html
work_keys_str_mv AT mhadian theestimationofproductionfunctioninorumiehmedicalsciencesuniversityhospitals
AT mrgohari theestimationofproductionfunctioninorumiehmedicalsciencesuniversityhospitals
AT myousefi theestimationofproductionfunctioninorumiehmedicalsciencesuniversityhospitals
AT mhadian estimationofproductionfunctioninorumiehmedicalsciencesuniversityhospitals
AT mrgohari estimationofproductionfunctioninorumiehmedicalsciencesuniversityhospitals
AT myousefi estimationofproductionfunctioninorumiehmedicalsciencesuniversityhospitals
_version_ 1724886866201673728