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The Evolution of Manufacturing Efficiency: Evidence from Indian States

Author

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  • Nitin Gupta
Abstract
The paper investigates the patterns of variations in Indian industrial performance at both industry and state levels. Applying stochastic frontier analysis to an unbalanced panel of 15 Indian states, 22 industries at the 2-digit level, and an 11-year period spanning 1992-2002; the paper estimates, for each industry group, the relative ranking of states based on their technical efficiency scores, and how these rankings have changed over time. The results represent novel contributions to the growing debate on Indian industrial productivity, albeit from a different perspective. Three primary sets of conclusions arise. First, there is considerable variation across industries in terms of their aggregate efficiency performance. However, overall industrial performance appears to be driven more by input growth, with technical efficiency having a marginal effect at best. Second, results also show considerable regional variation in efficiency patterns, with southern and western states outperforming northern and eastern states in terms of their overall manufacturing efficiencies. Punjab is surprisingly the worstperforming state in the country in terms of this yardstick. Finally, detailed analysis at the state-industry level allows creation of state profiles, which summarise the relative strengths and performances of different industries across those states.

Suggested Citation

  • Nitin Gupta, 2012. "The Evolution of Manufacturing Efficiency: Evidence from Indian States," ASARC Working Papers 2012-13, The Australian National University, Australia South Asia Research Centre.
    • Handle: RePEc:pas:asarcc:2012-13
    as

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    File URL: https://crawford.anu.edu.au/acde/asarc/pdf/papers/2012/WP2012_13.pdf
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    References listed on IDEAS

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    1. Philippe Aghion & Robin Burgess & Stephen J. Redding & Fabrizio Zilibotti, 2008. "The Unequal Effects of Liberalization: Evidence from Dismantling the License Raj in India," American Economic Review, American Economic Association, vol. 98(4), pages 1397-1412, September.
    2. Renuka Mahadevan, 2002. "A frontier approach to measuring total factor productivity growth in Singapore’s services sector," Journal of Economic Studies, Emerald Group Publishing, vol. 29(1), pages 48-58, January.
    3. Subal Kumbhakar & M. Denny & M. Fuss, 2000. "Estimation and decomposition of productivity change when production is not efficient: a paneldata approach," Econometric Reviews, Taylor & Francis Journals, vol. 19(4), pages 312-320.
    4. Mr. Bulent Unel, 2003. "Productivity Trends in India's Manufacturing Sectors in the Last Two Decades," IMF Working Papers 2003/022, International Monetary Fund.
    5. Manuel Coutinho Pereira & Sara Moreira, 2007. "A Stochastic Frontier Analysis of Secondary Education Output in Portugal," Working Papers w200706, Banco de Portugal, Economics and Research Department.
    6. Paul Conway & Richard Herd & Thomas Chalaux, 2008. "Product Market Regulation and Economic Performance across Indian States," OECD Economics Department Working Papers 600, OECD Publishing.
    7. Managi, Shunsuke & Opaluch, James J. & Jin, Di & Grigalunas, Thomas A., 2006. "Stochastic frontier analysis of total factor productivity in the offshore oil and gas industry," Ecological Economics, Elsevier, vol. 60(1), pages 204-215, November.
    8. William Greene, 2004. "Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 959-980, October.
    9. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
    10. Rana Hasan & Devashish Mitra & K.V. Ramaswamy, 2007. "Trade Reforms, Labor Regulations, and Labor-Demand Elasticities: Empirical Evidence from India," The Review of Economics and Statistics, MIT Press, vol. 89(3), pages 466-481, August.
    11. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, June.
    12. Tom Kompas, 2004. "Market reform, productivity and efficiency in Vietnamese rice production," International and Development Economics Working Papers idec04-4, International and Development Economics.
    13. 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.
    14. Albert Bollard & Peter Klenow & Gunjam Sharma, 2013. "India's Mysterious Manufacturing Miracle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(1), pages 59-85, January.
    15. Massimo Filippini & Jörg Wild & Michael Kuenzle, 2001. "Scale and cost efficiency in the Swiss electricity distribution industry: evidence from a frontier cost approach," CEPE Working paper series 01-08, CEPE Center for Energy Policy and Economics, ETH Zurich.
    16. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    17. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
    18. 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.
    19. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633, September.
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    More about this item

    Keywords

    Manufacturing; technological change; technical efficiency; India;
    All these keywords.

    JEL classification:

    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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