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Economic Reforms and Total Factor Productivity Growth of Indian Manufacturing: An Inter-State Analysis

Author

Listed:
  • Arnab K. Deb

    (University of Connecticut)

  • Subhash C. Ray

    (University of Connecticut)

Abstract

The extent to which Indian organized manufacturing performance changed after the Economic Reform of 1991 has been an important question among empirical analysts. Using input-output data from the Annual Survey of Industries for the period 1970-71 through 2007-08, this paper compares the pre- and post-reform performances of Indian manufacturing in terms of total factor productivity growth. We use the non-parametric method of Data Envelopment Analysis to construct the Biennial Malmquist Index of total factor productivity for Indian states to determine if the states have experienced improvement in manufacturing productivity during the post-reform years. Results show that at the all-India level, total factor productivity growth rate in manufacturing is higher during the post-reform period. Although the majority of states experienced accelerated productivity growth, some states experienced declines in productivity after the reforms. However, the regional variation in the rates of productivity change diminished during the post-reform years. A non-parametric decomposition of the Malmquist productivity index into its components shows that both before and after the reforms technological progress was the most important component of the manufacturing growth process.

Suggested Citation

  • Arnab K. Deb & Subhash C. Ray, 2013. "Economic Reforms and Total Factor Productivity Growth of Indian Manufacturing: An Inter-State Analysis," Working papers 2013-04, University of Connecticut, Department of Economics, revised Apr 2013.
  • Handle: RePEc:uct:uconnp:2013-04
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    References listed on IDEAS

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    9. Subhash C. Ray, 2009. "Are Indian Firms too Small? A Nonparametric Analysis of Cost Efficiency and the Optimal Organization of the Indian Manufacturing Industry," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 44(1), pages 49-67, July.
    10. Kumar, Surender, 2004. "Decomposition of total factor productivity growth: A regional analysis of Indian industrial manufacturing growth," Working Papers 04/22, National Institute of Public Finance and Policy.
    11. Ray, Subhash C & Mukherjee, Kankana, 1996. "Decomposition of the Fisher Ideal Index of Productivity: A Non-parametric Dual Analysis of US Airlines Data," Economic Journal, Royal Economic Society, vol. 106(439), pages 1659-1678, November.
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    Cited by:

    1. Arnab K. Deb & Subhash C. Ray, 2014. "An Inter-state Analysis of Total Factor Productivity Growth in Selected Two-digit Manufacturing Industries in India," Global Business Review, International Management Institute, vol. 15(4_suppl), pages 59-86, December.
    2. Tulika Bhattacharya & Meenakshi Rajeev & Indrajit Bairagya, 2018. "Are high-linked sectors more productive in India? An analysis under an input–output framework," Indian Economic Review, Springer, vol. 53(1), pages 333-367, December.
    3. Yuyan Tan & Yang Ji & Yiping Huang, 2016. "Completing China's Interest Rate Liberalization," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 24(2), pages 1-22, March.
    4. Paul, Bino & Patnaik, Unmesh & Sahu, Santosh Kumar & Awasthi, Mansi, 2020. "What Does Increasing Labour Homogeneity Mean for Indian Manufacturing?," MPRA Paper 102904, University Library of Munich, Germany.
    5. Arnab Deb, 2013. "Economic Reforms, Capacity Utilization, and Productivity Growth in Indian Manufacturing," Alumni working papers 2013-05, University of Connecticut, Department of Economics.
    6. Arnab K. Deb, 2014. "Economic Reforms, Capacity Utilization and Productivity Growth in Indian Manufacturing," Global Business Review, International Management Institute, vol. 15(4), pages 719-746, December.

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    More about this item

    Keywords

    Economic Reform; Total Factor Productivity; Data Envelopment Analysis; Biennial Malmquist Index;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

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