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An evaluation of input-specific technical efficiency of Indian fertilizer firms

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  • Soumita Khan

    (Institute for Social and Economic Change)

Abstract

This paper examines the competitiveness of Indian fertilizer firms by computing their input- specific technical efficiency from 1993-94 to 2012-13, using stochastic frontier approach. Analysis of input efficiency is important as it provides us with insights into output efficiency. Tracking economy-wide input efficiency performance has recently received increasing attention in manufacturing industries. The main point to be noted is that energy- specific technical inefficiency plays a major role in inter-firm efficiency differences of the fertilizer sector. Also, measures of input- specific technical efficiency may be useful for policy purposes. From our present study on fertilizer sector, the production planners will have tools to set targets of different inputs to produce a given level of output and can take a measure aiming to reduce technical inefficiency of a specific input. Another highlighting issue from of this study is that the relation between the size of the fertilizer firm and their consumption per unit of energy in case of fertilizer sector is not effective too much. That means size is always not a significant factor for a firm’s energy efficiency measurement.

Suggested Citation

  • Soumita Khan, 2018. "An evaluation of input-specific technical efficiency of Indian fertilizer firms," Working Papers 410, Institute for Social and Economic Change, Bangalore.
    • Handle: RePEc:sch:wpaper:410
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    References listed on IDEAS

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    1. Raymond J. Kopp, 1981. "The Measurement of Productive Efficiency: A Reconsideration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 96(3), pages 477-503.
    2. Ray,Subhash C., 2012. "Data Envelopment Analysis," Cambridge Books, Cambridge University Press, number 9781107405264, September.
    3. Soumita Khan, 2017. "Efficiency of Indian fertilizer firms: A s tochastic frontier approach," Working Papers 396, Institute for Social and Economic Change, Bangalore.
    4. Bishwanath Goldar, 2010. "Energy Intensity of Indian Manufacturing Firms: Effect of Energy Prices, Technology and Firm Characteristics," Working Papers id:2483, eSocialSciences.
    5. Kalirajan, K P & Obwona, M B, 1994. "Frontier Production Function: The Stochastic Coefficients Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(1), pages 87-96, February.
    6. Kaliappa Kalirajan & Shashanka Bhide, 2004. "The Post-reform Performance of the Manufacturing Sector in India," Asian Economic Papers, MIT Press, vol. 3(2), pages 126-157.
    7. Kankana Mukherjee & Subhash C. Ray, 2005. "Technical Efficiency And Its Dynamics In Indian Manufacturing: An Inter State Analysis," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 40(2), pages 101-125, December.
    8. Guilkey, David K & Lovell, C A Knox & Sickles, Robin C, 1983. "A Comparison of the Performance of Three Flexible Functional Forms," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 24(3), pages 591-616, October.
    9. Krishna, Pravin & Mitra, Devashish, 1998. "Trade liberalization, market discipline and productivity growth: new evidence from India," Journal of Development Economics, Elsevier, vol. 56(2), pages 447-462, August.
    10. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    11. K. P. Kalirajan & Yiping Huang, 2001. "Does China Have a Grain Problem? An Empirical Analysis," Oxford Development Studies, Taylor & Francis Journals, vol. 29(1), pages 45-55.
    12. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    13. 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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