Evaluation of productivity in Iranian pharmaceutical companies: A DEA-based Malmquist approach and panel data analysis

Objective: In this study, we aimed to assess comparative productivity of 21 pharmaceutical companies in Iran during 2000-2013. Methods: To evaluate the productivity trend of pharmaceutical companies in Iran, we used data envelopment analysis-based Malmquist index. "Total assets" and "...

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Main Authors: Mehdi Varmaghani, Amir Hashemi Meshkini, Farshad Farzadfar, Mehdi Yousefi, Saeed Yaghoubifard, Vida Varahrami, Ehsan Rezaei Darzi, Majid Anabi, Abbas Kebriaeezadeh, Hedieh-Sadat Zekri
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2015-01-01
Series:Journal of Research in Pharmacy Practice
Subjects:
Online Access:http://www.jrpp.net/article.asp?issn=2319-9644;year=2015;volume=4;issue=2;spage=51;epage=56;aulast=Varmaghani
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spelling doaj-bdeef882cfc54374ab5fc8dcc3bba7362020-11-24T21:51:16ZengWolters Kluwer Medknow PublicationsJournal of Research in Pharmacy Practice2319-96442279-042X2015-01-0142515610.4103/2279-042X.155750Evaluation of productivity in Iranian pharmaceutical companies: A DEA-based Malmquist approach and panel data analysisMehdi VarmaghaniAmir Hashemi MeshkiniFarshad FarzadfarMehdi YousefiSaeed YaghoubifardVida VarahramiEhsan Rezaei DarziMajid AnabiAbbas KebriaeezadehHedieh-Sadat ZekriObjective: In this study, we aimed to assess comparative productivity of 21 pharmaceutical companies in Iran during 2000-2013. Methods: To evaluate the productivity trend of pharmaceutical companies in Iran, we used data envelopment analysis-based Malmquist index. "Total assets" and "capital stock" as inputs and "net sales" and "net profit" as outputs extracted from Tehran stock exchange, were selected to be included in the analysis. This method provides the possibility for analyzing the performance of each company in term of productivity changes over time. We also used an estimation generalized least square panel data model to identify the factors that might affect productivity of pharmaceutical companies in Iran using  EViews 7 and Deep 2.1 software. Findings: The mean total productivity during all years of the study was 0.9829, which indicates the improvement in their overall productivity. The results, over the 13-year period, indicated that the range of productivity changes in pharmaceutical companies, that were included in this study, was between 0.884 and 1.098. Panel data model indicated that age of company could positively (t = 4.765978, P < 0.001) and being located in cities other than Tehran (the capital) could negatively (t = −5.369549, P < 0.001) affect the productivity of pharmaceutical companies. The analysis showed the new policy (brand-generic scheme) and also the type of ownership did not have a significant effect on the productivity of pharmaceutical companies. Conclusion: In this study, pharmaceutical productivity trends were fluctuated that could be due to the sub-optimal attention of policy makers and managers of pharmaceutical companies toward long-term strategic planning, focusing on productivity improvement.http://www.jrpp.net/article.asp?issn=2319-9644;year=2015;volume=4;issue=2;spage=51;epage=56;aulast=VarmaghaniData envelopment analysis; Iran; panel data model; pharmaceutical; productivity
collection DOAJ
language English
format Article
sources DOAJ
author Mehdi Varmaghani
Amir Hashemi Meshkini
Farshad Farzadfar
Mehdi Yousefi
Saeed Yaghoubifard
Vida Varahrami
Ehsan Rezaei Darzi
Majid Anabi
Abbas Kebriaeezadeh
Hedieh-Sadat Zekri
spellingShingle Mehdi Varmaghani
Amir Hashemi Meshkini
Farshad Farzadfar
Mehdi Yousefi
Saeed Yaghoubifard
Vida Varahrami
Ehsan Rezaei Darzi
Majid Anabi
Abbas Kebriaeezadeh
Hedieh-Sadat Zekri
Evaluation of productivity in Iranian pharmaceutical companies: A DEA-based Malmquist approach and panel data analysis
Journal of Research in Pharmacy Practice
Data envelopment analysis; Iran; panel data model; pharmaceutical; productivity
author_facet Mehdi Varmaghani
Amir Hashemi Meshkini
Farshad Farzadfar
Mehdi Yousefi
Saeed Yaghoubifard
Vida Varahrami
Ehsan Rezaei Darzi
Majid Anabi
Abbas Kebriaeezadeh
Hedieh-Sadat Zekri
author_sort Mehdi Varmaghani
title Evaluation of productivity in Iranian pharmaceutical companies: A DEA-based Malmquist approach and panel data analysis
title_short Evaluation of productivity in Iranian pharmaceutical companies: A DEA-based Malmquist approach and panel data analysis
title_full Evaluation of productivity in Iranian pharmaceutical companies: A DEA-based Malmquist approach and panel data analysis
title_fullStr Evaluation of productivity in Iranian pharmaceutical companies: A DEA-based Malmquist approach and panel data analysis
title_full_unstemmed Evaluation of productivity in Iranian pharmaceutical companies: A DEA-based Malmquist approach and panel data analysis
title_sort evaluation of productivity in iranian pharmaceutical companies: a dea-based malmquist approach and panel data analysis
publisher Wolters Kluwer Medknow Publications
series Journal of Research in Pharmacy Practice
issn 2319-9644
2279-042X
publishDate 2015-01-01
description Objective: In this study, we aimed to assess comparative productivity of 21 pharmaceutical companies in Iran during 2000-2013. Methods: To evaluate the productivity trend of pharmaceutical companies in Iran, we used data envelopment analysis-based Malmquist index. "Total assets" and "capital stock" as inputs and "net sales" and "net profit" as outputs extracted from Tehran stock exchange, were selected to be included in the analysis. This method provides the possibility for analyzing the performance of each company in term of productivity changes over time. We also used an estimation generalized least square panel data model to identify the factors that might affect productivity of pharmaceutical companies in Iran using  EViews 7 and Deep 2.1 software. Findings: The mean total productivity during all years of the study was 0.9829, which indicates the improvement in their overall productivity. The results, over the 13-year period, indicated that the range of productivity changes in pharmaceutical companies, that were included in this study, was between 0.884 and 1.098. Panel data model indicated that age of company could positively (t = 4.765978, P < 0.001) and being located in cities other than Tehran (the capital) could negatively (t = −5.369549, P < 0.001) affect the productivity of pharmaceutical companies. The analysis showed the new policy (brand-generic scheme) and also the type of ownership did not have a significant effect on the productivity of pharmaceutical companies. Conclusion: In this study, pharmaceutical productivity trends were fluctuated that could be due to the sub-optimal attention of policy makers and managers of pharmaceutical companies toward long-term strategic planning, focusing on productivity improvement.
topic Data envelopment analysis; Iran; panel data model; pharmaceutical; productivity
url http://www.jrpp.net/article.asp?issn=2319-9644;year=2015;volume=4;issue=2;spage=51;epage=56;aulast=Varmaghani
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