Comparative Analysis Of Healthcare Performance In West And South Regions Of Ukraine
This study examines variations in efficiency among hospitals located in western and southern Ukraine. We estimated efficiency using a nonparemetric modeling technique known as data envelopment analysis (DEA). DEA is a very powerful tool to compare relative efficiency among several economic units of...
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Sciendo
2016-12-01
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| Series: | Comparative Economic Research |
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| Online Access: | http://www.degruyter.com/view/j/cer.2016.19.issue-5/cer-2016-0042/cer-2016-0042.xml?format=INT |
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doaj-art-aaefb57e96f2426298eca8eb7307d8f22018-09-02T17:04:08ZengSciendoComparative Economic Research2082-67372016-12-0119514315510.1515/cer-2016-0042cer-2016-0042Comparative Analysis Of Healthcare Performance In West And South Regions Of UkrainePilyavskyy Anatoliy0Aaronson William1Matsiv Yuriy2Professor & Chair, Department of Higher Mathematics & Quantitative Methods, Faculty of International Economic Relations and Information Technology, Lviv University of Trade and Economics, Lviv, UkraineAssociated Professor & Chair, Department of Health Services Administration & Policy, College of Public Health, Temple University, Philadelphia, United States of AmericaDepartment of Higher Mathematics & Quantitative Methods, Faculty of International Economic Relations & Information Technology, Lviv University of Trade and Economics, Lviv, UkraineThis study examines variations in efficiency among hospitals located in western and southern Ukraine. We estimated efficiency using a nonparemetric modeling technique known as data envelopment analysis (DEA). DEA is a very powerful tool to compare relative efficiency among several economic units of study, known as decision making units (DMUS). In our current and previous research we have focused attention on comparative efficiency among hospitals and then explained variation in efficiency based on historical and cultural differences that influence managerial behavior at the hospital level of decision making. This study using current data and an expanded geographic territory provides further support to our findings from previous studies.http://www.degruyter.com/view/j/cer.2016.19.issue-5/cer-2016-0042/cer-2016-0042.xml?format=INTdata envelopment analysis (DEA)healthcare performancecomparative efficiency |
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| language |
English |
| format |
Article |
| author |
Pilyavskyy Anatoliy Aaronson William Matsiv Yuriy |
| spellingShingle |
Pilyavskyy Anatoliy Aaronson William Matsiv Yuriy Comparative Analysis Of Healthcare Performance In West And South Regions Of Ukraine Comparative Economic Research data envelopment analysis (DEA) healthcare performance comparative efficiency |
| author_facet |
Pilyavskyy Anatoliy Aaronson William Matsiv Yuriy |
| author_sort |
Pilyavskyy Anatoliy |
| title |
Comparative Analysis Of Healthcare Performance In West And South Regions Of Ukraine |
| title_short |
Comparative Analysis Of Healthcare Performance In West And South Regions Of Ukraine |
| title_full |
Comparative Analysis Of Healthcare Performance In West And South Regions Of Ukraine |
| title_fullStr |
Comparative Analysis Of Healthcare Performance In West And South Regions Of Ukraine |
| title_full_unstemmed |
Comparative Analysis Of Healthcare Performance In West And South Regions Of Ukraine |
| title_sort |
comparative analysis of healthcare performance in west and south regions of ukraine |
| publisher |
Sciendo |
| series |
Comparative Economic Research |
| issn |
2082-6737 |
| publishDate |
2016-12-01 |
| description |
This study examines variations in efficiency among hospitals located in western and southern Ukraine. We estimated efficiency using a nonparemetric modeling technique known as data envelopment analysis (DEA). DEA is a very powerful tool to compare relative efficiency among several economic units of study, known as decision making units (DMUS). In our current and previous research we have focused attention on comparative efficiency among hospitals and then explained variation in efficiency based on historical and cultural differences that influence managerial behavior at the hospital level of decision making. This study using current data and an expanded geographic territory provides further support to our findings from previous studies. |
| topic |
data envelopment analysis (DEA) healthcare performance comparative efficiency |
| url |
http://www.degruyter.com/view/j/cer.2016.19.issue-5/cer-2016-0042/cer-2016-0042.xml?format=INT |
| _version_ |
1612633933895172096 |