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Tiemann O, Schreyögg J (2009). Effects of Ownership on Hospital Efficiency in Germany. BuR - Business Research, Vol. 2, Iss. 2, pp. 115-145, URN: urn:nbn:de:0009-20-21700
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%0 Journal Article %T Effects of Ownership on Hospital Efficiency in Germany %A Tiemann, Oliver %A Schreyögg, Jonas %J BuR - Business Research %D 2009 %V 2 %N 2 %@ 1866-8658 %F tiemann2009 %X The objective of our study was to evaluate the efficiency of public, private for-profit, and private non-profit hospitals in Germany. First, bootstrapped data envelopment analysis (DEA) was used to evaluate the efficiency of a panel (n = 1,046) of public, private for-profit, and private non-profit hospitals between 2002 and 2006. This was followed by a second-step truncated linear regression model with bootstrapped DEA efficiency scores as dependent variable. The results show that public hospitals performed significantly better than their private for-profit and non-profit counterparts. In addition, we found a significant positive association between hospital size and efficiency, and that competitive pressure had a significant negative impact on hospital efficiency. %L 330 %K Germany %K data envelopment analysis %K non-parametric technique %K ownership %K performance measurement %K public hospitals %K truncated regression %U http://nbn-resolving.de/urn:nbn:de:0009-20-21700 %P 115-145
Bibtex
@Article{tiemann2009,
author = "Tiemann, Oliver
and Schrey{\"o}gg, Jonas",
title = "Effects of Ownership on Hospital Efficiency in Germany",
journal = "BuR - Business Research",
year = "2009",
volume = "2",
number = "2",
pages = "115--145",
keywords = "Germany",
keywords = "data envelopment analysis",
keywords = "non-parametric technique",
keywords = "ownership",
keywords = "performance measurement",
keywords = "public hospitals",
keywords = "truncated regression",
abstract = "The objective of our study was to evaluate the efficiency of public, private for-profit, and private non-profit hospitals in Germany. First, bootstrapped data envelopment analysis (DEA) was used to evaluate the efficiency of a panel (n = 1,046) of public, private for-profit, and private non-profit hospitals between 2002 and 2006. This was followed by a second-step truncated linear regression model with bootstrapped DEA efficiency scores as dependent variable. The results show that public hospitals performed significantly better than their private for-profit and non-profit counterparts. In addition, we found a significant positive association between hospital size and efficiency, and that competitive pressure had a significant negative impact on hospital efficiency.",
issn = "1866-8658",
url = "http://nbn-resolving.de/urn:nbn:de:0009-20-21700"
}
RIS
TY - JOUR AU - Tiemann, Oliver AU - Schreyögg, Jonas PY - 2009// TI - Effects of Ownership on Hospital Efficiency in Germany JO - BuR - Business Research SP - 115 EP - 145 VL - 2 IS - 2 KW - Germany KW - data envelopment analysis KW - non-parametric technique KW - ownership KW - performance measurement KW - public hospitals KW - truncated regression N2 - The objective of our study was to evaluate the efficiency of public, private for-profit, and private non-profit hospitals in Germany. First, bootstrapped data envelopment analysis (DEA) was used to evaluate the efficiency of a panel (n = 1,046) of public, private for-profit, and private non-profit hospitals between 2002 and 2006. This was followed by a second-step truncated linear regression model with bootstrapped DEA efficiency scores as dependent variable. The results show that public hospitals performed significantly better than their private for-profit and non-profit counterparts. In addition, we found a significant positive association between hospital size and efficiency, and that competitive pressure had a significant negative impact on hospital efficiency. SN - 1866-8658 UR - http://nbn-resolving.de/urn:nbn:de:0009-20-21700 ID - tiemann2009 ER -
Wordbib
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ISI
PT Journal AU Tiemann, O Schreyögg, J TI Effects of Ownership on Hospital Efficiency in Germany SO BuR - Business Research PY 2009 BP 115 EP 145 VL 2 IS 2 DE Germany; data envelopment analysis; non-parametric technique; ownership; performance measurement; public hospitals; truncated regression AB The objective of our study was to evaluate the efficiency of public, private for-profit, and private non-profit hospitals in Germany. First, bootstrapped data envelopment analysis (DEA) was used to evaluate the efficiency of a panel (n = 1,046) of public, private for-profit, and private non-profit hospitals between 2002 and 2006. This was followed by a second-step truncated linear regression model with bootstrapped DEA efficiency scores as dependent variable. The results show that public hospitals performed significantly better than their private for-profit and non-profit counterparts. In addition, we found a significant positive association between hospital size and efficiency, and that competitive pressure had a significant negative impact on hospital efficiency. ER
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Full Metadata
| Bibliographic Citation | BuR - Business Research, Vol. 2, Iss. 2, pp. 115-145 |
|---|---|
| Title | Effects of Ownership on Hospital Efficiency in Germany (eng) |
| Author | Oliver Tiemann, Jonas Schreyögg |
| Language | eng |
| Abstract | The objective of our study was to evaluate the efficiency of public, private for-profit, and private non-profit hospitals in Germany. First, bootstrapped data envelopment analysis (DEA) was used to evaluate the efficiency of a panel (n = 1,046) of public, private for-profit, and private non-profit hospitals between 2002 and 2006. This was followed by a second-step truncated linear regression model with bootstrapped DEA efficiency scores as dependent variable. The results show that public hospitals performed significantly better than their private for-profit and non-profit counterparts. In addition, we found a significant positive association between hospital size and efficiency, and that competitive pressure had a significant negative impact on hospital efficiency. |
| Subject | Germany, data envelopment analysis, non-parametric technique, ownership, performance measurement, public hospitals, truncated regression |
| DDC | 330 |
| Rights | authorcontract |
| URN: | urn:nbn:de:0009-20-21700 |
