An Empirical Study to Measure the Efficiency of Indian Pharmaceutical Companies during Recession Period Utilizing Data Envelopment Analysis

Authors

  • Arindam Banerjee

DOI:

https://doi.org/10.33516/rb.v43i2.1-13p

Keywords:

Data Envelopment Analysis, Decision Making Units, Linear Program, Recession, Profitability.

Abstract

The present study has been undertaken to measure the efficiency of the Indian pharmaceutical companies during the period of recent recession. Data envelopment analysis has been utilized in the paper to measure the efficiency. Input oriented variable return to scale approach has been used in this study. Linear program has been formulated to compute the efficiency and super efficiency scores of the different pharmaceutical companies in Indian scenario. The companies have been ranked according to the scores obtained by them during the period of study. A further attempt has been made in the paper to identify the most important independent variable influencing the efficiency score of the pharmaceutical companies during the recession period.

Downloads

Download data is not yet available.

Downloads

Published

2017-07-01

How to Cite

Banerjee, A. (2017). An Empirical Study to Measure the Efficiency of Indian Pharmaceutical Companies during Recession Period Utilizing Data Envelopment Analysis. Research Bulletin, 43(2), 1–13. https://doi.org/10.33516/rb.v43i2.1-13p

Issue

Volume 43, Issue 2, July 2017

Section

Articles
Crossref
Scopus
Google Scholar
Europe PMC

References

Andersen P and NC Petersen (1993).A Procedure for Ranking Efficient Units in Data Envelopment Analysis. Management Science 39(10): 1261-1264.

Banker R, Charnes, A and Cooper, W (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science 30:1078–1092.

Bhattacharyya A, CAK Lovell and P Sahay (1997).The Impact of Liberalization on the Productive Efficiency of Indian Commercial Banks. European Journal of Operation Research 98(2): 332-345.

Charles V, M Kumar, L F Zegarra and B. Avolio (2011).Benchmarking Peruvian Banks using Data Envelop Analysis. Journal of CENTRUM Cathedra: Business and Economic research Journal 4(2):147-164.

Charnes A, Cooper, W and Rhodes E (1978) .Measuring the efficiency of decision-making units. European Journal of Operational Research 2:429–444.

Feroz E H, S Kim and R L Raab (2003). Financial Statement Analysis. A data envelopment analysis approach. Journal of Operation Research Society 54(1):48-58.

Karimzadeh (2012).Efficiency Analysis by using Data Envelop Analysis Model: Evidence from Indian Banks. International Journal of Latest Trends in Finance and Economic Sciences 2(3):228-237.

Gayval and Bajaj (2015).Measuring Efficiency of Indian Banks: A DEA-Stochastic Frontier Analysis. International Journal of Innovative Research in Science, Engineering and Technology .4(12).

Golany B,Y,Roll (1989).An Application procedure for DEA. Omega 1(3):237-250.

Nandkumar and A. Singh (2014). A Study of Technical efficiency of banks in India using DEA. IOSR Journal of Business and Management.16 (9):37-43.

Shukla, S. (2016). Performance of the Indian banking industry: A comparison of public and private sector banks. Indian Journal of finance, 10(1), 41-55.

Tandon K and N Malhotra (2014).A Comparative Evaluation of Efficiency in the Indian Banking Industry Using Data Envelopment Analysis. The IUP Journal of Bank Management.13 (2): 33-46.

Tehrani R, M R Megharagan and M R Golkani (2012).A model for evaluating financial performance of companies by Data Envelop Analysis- A case study of 36 Corporations affiliated with private organization. International Business research 5(8):8-16.

Qamruzzaman, M., and Jianguo, W. E. I. (2016). An Assessment of Financial Efficiency using Data Evolvement Analysis (DEA)Multistage Approach: A Case Study of Banks in Bangladesh. IOSR Journal of Economics and Finance. 7(6):96-103