EconPapers    
Economics at your fingertips  
 

Trends in and determinants of technical efficiency of software companies in India

Bimal Kishore Sahoo and D.K. Nauriyal

Journal of Policy Modeling, 2014, vol. 36, issue 3, 539-561

Abstract: This paper attempts to discuss the trends in and determinants of technical efficiency of software companies in India during 1999–2008 by applying input-oriented DEA model. Based upon the PROWESS Database of CMIE, the efficiencies were estimated for the old and new companies and also for Indian, multinational and group companies. The estimations were made for a sample of 72 software companies, under VRS assumption, as dataset manifested large magnitude of differences owing to the presence of big and small companies in the sample. The sales revenue is taken as output variable, and employment, expenditure on computers and electronics equipments, operating expenditure, power, fuel, and water charges as the input variables. The results and analyses demonstrate that the mean overall technical efficiency of the software industry in India during 1999–2008 was low suggesting that software firms, on an average, were wasting 35% of their inputs. It was found that the number of companies operating on most productive scale size has declined during the period under reference. The results also suggest that Indian-owned companies were more efficient than the foreign-owned and group-owned companies. Contrary to the expectations, exports were not found to have exercised significant impact on the efficiency of Indian software industry.

Keywords: Software industry in India; Efficiency; DEA; Tobit Regression (search for similar items in EconPapers)
JEL-codes: C34 D21 L86 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0161893814000088
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jpolmo:v:36:y:2014:i:3:p:539-561

DOI: 10.1016/j.jpolmod.2013.12.001

Access Statistics for this article

Journal of Policy Modeling is currently edited by A. M. Costa

More articles in Journal of Policy Modeling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:jpolmo:v:36:y:2014:i:3:p:539-561