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Does the Presence of Surplus Labor Hinder Production in Indian Manufacturing?

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  • Subhash Ray

    (University of Connecticut)

  • Kankana Mukherjee

    (Worcester Polytechnic Institute)

Abstract

Input congestion occurs at a given input bundle when the assumption of free disposability of inputs does not hold and an increase in input leads to a decline in output. In this paper we employ the nonparametric method of Data Envelopment Analysis (DEA) to examine the question on input congestion with respect to labor, using state level data from the Annual Survey of Industries for the period 1986-87 through 1999-2000. When the standard assumption of strong disposability is relaxed for the labor inputs, the nonparametric analysis of state-level data from Indian manufacturing shows considerable measure of labor input congestion. While in selected states congestion comes from non-production workers as well, the principal source of labor congestion is production labor. There is no evidence that the problem of labor congestion has become less severe during the post-Reform years. It appears that market forces without any major institutional changes in enforcement of labor discipline cannot eliminate congestion.

Suggested Citation

  • Subhash Ray & Kankana Mukherjee, 2003. "Does the Presence of Surplus Labor Hinder Production in Indian Manufacturing?," Working papers 2003-48, University of Connecticut, Department of Economics.
    • Handle: RePEc:uct:uconnp:2003-48
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    References listed on IDEAS

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    1. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    2. Subhash Ray & Anasua Bhattacharya, 2003. "Surplus Labor in Indian Manufacturing: Evidence from the Annual Survey of Industries," Working papers 2003-14, University of Connecticut, Department of Economics.
    3. Fare, Rolf & Grosskopf, Shawna & Logan, James, 1983. "The relative efficiency of Illinois electric utilities," Resources and Energy, Elsevier, vol. 5(4), pages 349-367, December.
    4. Subhash C. Ray, 2002. "Did India's Economic Reforms improve Efficiency and Productivity? A Nonparametric Analysis of the Initial Evidence from Manufacturing," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 37(1), pages 23-57, January.
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    Cited by:

    1. Anup Kumar Bhandari & Subhash C. Ray, 2012. "Technical Efficiency In The Indian Textiles Industry: A Non‐Parametric Analysis Of Firm‐Level Data," Bulletin of Economic Research, Wiley Blackwell, vol. 64(1), pages 109-124, January.

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