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Do Technological Conditions of Production Explain Industrial Growth? The Indian Manufacturing, 1998–1999 to 2007–2008

Author

Listed:
  • Alokesh Barua

    (Jawaharlal Nehru University)

  • Bishwanath Goldar

    (Institute of Economic Growth, University Enclave)

  • Himani Sharma

    (Madras School of Economics)

  • Priyanta Ghosh

    (Jawaharlal Nehru University)

Abstract

The paper tries to assess whether the technological conditions of production can explain the sluggishness in growth in Indian manufacturing industries reflected in a stagnant share in aggregate GDP. For this purpose, the returns to scale and elasticity of factor substitution are estimated for various two-digit manufacturing industries of India for the years 1998–1999 to 2007–2008 using the translog production function specification. Most of the previous research of this kind was undertaken by using either aggregate level time-series or state-wise aggregate cross-section data. The recent availability of factory (plant) level panel data has motivated us to re-estimate the parameters of the production function for the Indian manufacturing using factory-level data. Our results clearly indicate presence of significant scale economies. We observe that the capital-labour elasticity of substitution varies across industries, being a little above one or less than one in nearly half of the cases. A multiple regression analysis has been undertaken with the help of industry-level panel data for the years 1998–1999 to 2007–2008 to find out if the manufacturing growth rate is conditioned by the parameters of the production function. Our results indicate that production function parameters do exert an important influence on the rate of growth.

Suggested Citation

  • Alokesh Barua & Bishwanath Goldar & Himani Sharma & Priyanta Ghosh, 2017. "Do Technological Conditions of Production Explain Industrial Growth? The Indian Manufacturing, 1998–1999 to 2007–2008," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(3), pages 509-541, September.
    • Handle: RePEc:spr:jqecon:v:15:y:2017:i:3:d:10.1007_s40953-016-0060-5
    DOI: 10.1007/s40953-016-0060-5
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    References listed on IDEAS

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    1. Richard Blundell & Stephen Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies.
    2. Fikkert, Brian & Hasan, Rana, 1998. "Returns to scale in a highly regulated economy: evidence from Indian firms," Journal of Development Economics, Elsevier, vol. 56(1), pages 51-79, June.
    3. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    4. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
    5. Paul Krugman, 2009. "The Increasing Returns Revolution in Trade and Geography," American Economic Review, American Economic Association, vol. 99(3), pages 561-571, June.
    6. Pattnayak, Sanja S. & Thangavelu, S.M., 2005. "Economic reform and productivity growth in Indian manufacturing industries: an interaction of technical change and scale economies," Economic Modelling, Elsevier, vol. 22(4), pages 601-615, July.
    7. Reghubendra, J. & Murty, M.N. & Paul, S. & Rao, B.B., 1992. "An Analysis of Technological Change, Factor Substitution and Economies of Scale in Manufacturing Industries in India," Papers e9214, Western Sydney - School of Business And Technology.
    8. Aguirregabiria, Victor, 2009. "Econometric Issues and Methods in the Estimation of Production Functions," MPRA Paper 15973, University Library of Munich, Germany.
    9. David Stern, 2011. "Elasticities of substitution and complementarity," Journal of Productivity Analysis, Springer, vol. 36(1), pages 79-89, August.
    10. Alokesh Barua & Aparna Sawhney, 2015. "Development Policy Implications for Growth and Regional Inequality in a Small Open Economy: The Indian Case," Review of Development Economics, Wiley Blackwell, vol. 19(3), pages 695-709, August.
    11. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    12. McFadden, Daniel, 1978. "Estimation Techniques for the Elasticity of Substitution and Other Production Parameters," Histoy of Economic Thought Chapters, in: Fuss, Melvyn & McFadden, Daniel (ed.),Production Economics: A Dual Approach to Theory and Applications, volume 2, chapter 4, McMaster University Archive for the History of Economic Thought.
    13. Santosh Kumar Sahu & Himani Sharma, 2016. "Productivity, Energy Intensity and Output: A Unit Level Analysis of the Indian Manufacturing Sector," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(2), pages 283-300, December.
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    More about this item

    Keywords

    Returns to scale; Capital-labour substitution elasticity; Indian manufacturing; Output growth;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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