Does Better Management of Financial Obligation Promote Productivity?

Pratap Singh Awadhesh 1
  • 1 Indian Institute of Management Lucknow, , India


The purpose of this paper is to examine the role of key financial obligation factors on total factor productivity (TFP) for 34 Indian industries for the period 2008 2018 using qualitative and quantitative techniques. Financial obligations are measured by short- and long-term loans, operating expenses and liabilities. The outcome of qualitative techniques does not appear to support the hypothesis that short term and long-term loans, liabilities and operating expenses influence TFP. On the contrary, the evidences arise from quantitative technique appear to suggest that short term loan and operating expenses promote TFP. The study also suggests that complimentaries exist between operating expenses and short-term loan and they together appear to boost productivity.

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  • Ackerberg, D., Caves, K., & Frazer, G. (2006). Structural identification of production functions.

  • Chae, H. C., Koh, C. E., & Park, K. O. (2018). Information technology capability and firm performance: Role of industry. Information & Management, 55(5), 525-546.

  • Erumban, A. A., & Das, D. K. (2016). Information and communication technology and economic growth in India. Telecommunications Policy, 40(5), 412-431.

  • Gu, Q., Jitpaipoon, T., & Yang, J. (2017). The impact of information integration on financial performance: A knowledge-based view. International Journal of Production Economics, 191, 221-232.

  • Krishna, K. L., & Kapila, U. (Eds.). (2009). Readings in Indian Agriculture and Industry. Academic Foundation. Levinsohn, J. and Petrin, A., 2003. Estimating production functions using inputs to control for unobservables. The Review of Economic Studies, 70(2), pp.317-341. Lu, Y., Shi, H., Luo, W., & Liu, B. (2018). Productivity, financial constraints, and firms’ global value chain participation: Evidence from China. Economic Modelling.

  • Mitra, A., Sharma, C., & Véganzonès-Varoudakis, M. A. (2014). Trade liberalization, technology transfer, and firms’ productive performance: The case of Indian manufacturing. Journal of Asian Economics, 33, 1-15.

  • Olley, G.S. and Pakes, A., 1992. The dynamics of productivity in the telecommunications equipment industry (No. w3977). National Bureau of Economic Research.

  • Singh, A. P. (2016a). Do Technology Spillovers Accelerate Performance of Firms? Unravelling a Puzzle from Indian Manufacturing Industry. Economics and Applied Informatics, (3), 108-120. Singh, A. P. (2016b). R&D spillovers & productivity growth: evidence from Indian manufacturing. Indian Journal of Industrial Relations, 51(4), 563-579.

  • Singh, A. P. (2017a). Merge or Acquire-A Strategic Framework. Economics and Applied Informatics, (3), 125-139.

  • Singh, A. P. (2017b). Keeping It Simple: Comparative Analysis of TFP across Manufacturing Industries and Major States of India. Theoretical Economics Letters, 7(06), 1821.

  • Singh, A. P. (2017c). Does FDI Promote Productivity? A Deep Dive. Indian Journal of Industrial Relations, 52(3).

  • Singh, A. P. (2018). Does Size Matter? The Effect of Size of Production Workers, Management Staff and Proprietors on Productivity. Theoretical Economics Letters, 8(11), 2290. Shin, S., & Eksioglu, B. (2015). An empirical study of RFID productivity in the US retail supply chain. International Journal of Production Economics, 163, 89-96.

  • Wooldridge, J.M., 2009. On estimating firm-level production functions using proxy variables to control for unobservables. Economics Letters, 104(3), pp.112-114.


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