Measuring the Efficiency of Listed Housing Sector Companies Using the Data Envelopment Approach in India

Abstract

The purpose of this study was to assess the technical efficiency and productivity of listed Housing sector companies in India, from 2008 to 2017. The study employed the Data Envelopment Approach (DEA) to examine the efficiency of the selected sample. The Malmquist Productivity Index was used to reveal the productivity change in Housing companies over the specified time. The study found little productivity growth among the Decision Making Units (DMUs) in spite of their efficiency improvement practices during the study period. The study indicates that there is a need for better utilization of resources and scale expansion. Further improvements in the housing sector can be achieved by technological improvements as it is the main reason behind poor productivity growth during the study period.

Measuring the technical efficiency of the listed IT companies: Evidence from Bangladesh

“…Typically, efficiency is concerned with the resources or inputs required to generate output for a specific task. Following the study of Malhotra and Dhanda (2020), it took two inputs and three outputs to measure the efficiency of IT companies in Bangladesh. Inputs are capital expenditures and fixed assets, while outputs are: return on equity, return on assets, and total income.…”

“…The DEA calculates the overall technical efficiency (OTE), which assists in identifying inefficiencies brought on by both pure technical inefficiency and scale inefficiency (Alam et al, 2020). Therefore, technical efficiency (constant return on scale -CRS) is a product of pure technical efficiency (variable return to scale -VRS) and scale efficiency (SE) (Malhotra & Dhanda, 2020), which is as follows:…”