BULMIM Journal of Management and Research
  • Year: 2022
  • Volume: 7
  • Issue: 2

Measurement of total factor productivity and its determinants in Indian pharmaceutical industry: An application of Data Envelopment Analysis

  • Author:
  • V Vijayalalitha1,*, J. K. Sharma2, Tapan Kumar Nayak3, P. Sivakumar4
  • Total Page Count: 21
  • Published Online: Jul 12, 2022
  • Page Number: 1 to 21

1V Vijayalalitha, Ph.D. Scholar, Amity School of Business, Amity University, Uttar Pradesh, India

2Prof. (Dr.) J. K. Sharma, Acting Head, Amity School of Business, Amity University, Uttar Pradesh, India

3Prof. (Dr.) Tapan Kumar Nayak, Dean-Academics & Professor of Economics, Institute of Management Studies, Ghaziabad, Uttar Pradesh

4Prof. (Dr.) P Sivakumar, Director, I Business Institute, Greater Noida, Uttar Pradesh.

*(corresponding author, E-mail: vijayalalithayogi@gmail.com). Phone: 9560887175

Online published on 12 July, 2022.

Abstract

The present paper evaluates total factor productivity growth and its determinants for the period of 2009-10 to 2019-20. The paper employs data envelopment analysis based Malmquist Index for calculating TFP growth and panel data models for estimating its determinants. The data ware collected from CMIE-PROWESSfor the firms that are having sales more than Rs. 100 Crores based on the year 2009-10. The total of 96 firms were used for the analysis and are in terms of rupees in Crores. Total sales, cost of raw materials, salaries and wages, capital cost, and cost of Advertising and marketing are used for calculating TFP. Company age, value of shares, profit, R&D expenditure, value of import and value of exports are used for determinants. It was found that the year 2013-14 recorded positive TFP growththat was mainly due to technological change. It is evident from the result that negative TFP growth is reported most of the firms during the study period. The main reason for lowest TFP growth is due to technological change in Indian Pharmaceutical firms. Age and export were significant and positive, whereas R&D was significant and negative relationship with TFP. Rests of the determinants were insignificant with TFP.

Keywords

Data Envelopment Analysis, Indian Pharmaceutical Industry, Malmquist index, Total factor productivity, Technical Efficiency, Technological changes