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Interstate Analysis of the Decomposition of Total Factor Productivity Growth in the Organized Manufacturing Industries in India:A Stochastic Frontier Approach


Affiliations
1 Department of Economics, Midnapore College, Midnapore, Paschim Medinapur 721101, West Bengal, India
2 Vinod Gupta School of Management, IIT, Kharagpur, Paschim Medinapur, West Bengal, India
3 Scientist, Economic Research Unit, ISI, Kolkata, India
     

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According to the conventional 'Solow' residual approach or index number approach, the concept of technological progress and total factor productivity growth (TFPG) are used synonymously and TFPG is shown by solely shifting the production possibility frontier. But recent development of TFP estimation acknowledges that along with technological progress, changes in technical efficiency, economic scale effect and changes in allocative efficiency also contribute to productivity growth. The study applies a stochastic frontier production approach to decompose the sources of TFPG of the total organized manufacturing industries in fifteen major industrialized states in India as well as in all-India into four afore-mentioned components during the period from 1981-1982 to 2010-2011, during the entire period, during the pre-reform period (1981-1982 to 1990-1991) and post-reform period (1991-1992 to 2010- 2011), and also during two different decades of the post-reform period, i.e., 1991-1992 to 2000-2001 and 2001-2002 to 2010-2011. According to the estimated results, technological progress (TP) is the main contributor to the TFPG of the organized manufacturing from 1981-1982 to 2010-2011. But the TFPG declined during the post-reform period which is accounted for by the decline in TP.
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  • Aigner, D.J., C.A.K. Lovell and P. Schmidt (1977), Formulation and Estimation of Stochastic Frontier Production Function Models, Journal of Econometrics, 6(1): 21-37, July.
  • Battese, G.E. and T.J. Coelli (1992), Frontier Production Functions, Technical Efficiency and Panel Data: With Application to Paddy Farmers in India, Journal of Productivity Analysis, 3(1/2): 153-169, June.
  • Battese, G.E. and T.J. Coelli (1995), A Model for Technical Inefficiency Effects in the Stochastic Frontier Production for Panel Data, Empirical Economics, 20(2): 325-332.
  • Bauer, P.W. (1990), Recent Developments in the Econometric Estimation of Frontiers, Journal of Econometrics 46(1/2): 39-56.
  • Chiona, S., T. Kalinda and G. Tembo (2014), Stochastic Frontier Analysis of the Technical Efficiency of Small Holder Maize Farmers in Central Province, Zambia, Journal of Agricultural Science, 6(10): 112-114.
  • Coelli, T.J. (1996), A Guide to FRONTIER Version 4.1: A Computer Program for Stochastic Frontier Production and Cost Function Estimation, CEPA Working Paper, 7/96.
  • Coelli, T.J., D. Rao, S. Prasada and G.E. Battese (1998), An Introduction to Efficiency and Productivity Analysis, Massachusetts: Kluwer Academic Publisher.
  • Domazlicky, B.R. and W.L. Weber (1998), Determinants of Total Factor Productivity, Technological Change and Efficiency Differentials among States, 1977-86, Review of Regional Studies, 28(2): 19-34.
  • Fecher, F. and S. Perelman (1992), Productivity Growth and Technical Efficiency in OECD Industrial Activities, Industrial Efficiency in Six Nations, the MIT Press.
  • Goldsmith, Raymond W. (1951), Perpetual Inventory of National Wealth, pp. 5-61. NBER, Studies in Income and Wealth, Volume 14, New York
  • Gounder, R. and V. Xayayong (2004), A Decomposition of Total Factor Productivity Growth in New Zealand’s Manufacturing Industries: A Stochastic Frontier Approach, Paper to be presented at the New Zealand Association of Economists’ Conference.
  • Hamit-Haggar, M. (2009), Total Factor Productivity Growth, Technological Progress and Efficiency Changes: Empirical Evidence from Canadian Manufacturing Industries, Working Paper, April 2009, Department of Economics, University of Ottawa, Canada.
  • Huang, C.J. and J-T Liu (1992), Stochastic Production Frontier in the Taiwan Electronics Industry, Unpublished paper, Department of Economics, Vanderbilt University, Nashville, p. 13.
  • Huang, C.J. and J-T Liu (1994), Estimation of Non-Neutral Stochastic Frontier Production Function, Journal of Productivity Analysis, 5(2): 171-180.
  • Jorgenson, Dale and Z. Griliches (1967), The Explanation of Productivity Change, The Review of Economic Studies, 34(99): 249-280.
  • Kim, S. and G. Han (2001), A Decomposition of Total Factor Productivity Growth in Korean Manufacturing Industries: A Stochastic Frontier Approach, Journal of Productivity Analysis, 16: 269-281.
  • Kumbhakar, S.C. (1990), Production Frontiers, Panel Data and Time-varying Technical Inefficiency, Journal of Econometrics, 46(1/2): 201-212.
  • Kumbhakar, S.C. and C.A. Knox Lovell (2000), Stochastic Frontier Production, New York: Cambridge University Press, pp. 279-309.
  • Kumbhakar, S.C., S. Ghosh and J.T. McGuckin (1991), A Generalized Production Frontier Approach for Estimating Determinants of Efficiency in U.S. Dairy Farms, Journal of Business and Economic Statistics, 9(3): 279-286, July.
  • Mahadevan, R. (2003), To Measure or Not To Measure Total Factor Productivity Growth, Oxford Development Studies, 31(3): 365-378.
  • Mandal, S.K. and S. Madheswaran (2009), Technological Progress, Scale Effect and Total Factor Productivity Growth in Indian Cement Industry: Panel Estimation of Stochastic Production Frontier, ICEC Working Paper 216, Bangalore.
  • Meeusen, W. and J. Van den Broeck (1977), Efficiency Estimation from Cobb-Douglas Production Function with Composed Error, International Economic Review, 18(2): 435-444, June.
  • Minh, N. K., P.V. Khanh, N.T. Minh and N.T.P. Anh (2012), Productivity Growth, Technological Progress and Efficiency Change in Vietnamese Manufacturing Industries: A Stochastic Frontier Approach, Open Journal of Statistics, 2(April): 224-235.
  • Nishimizu, M. and J.M. Page (1982), Total Factor Productivity Growth, Technological Progress and Technical Efficiency Change: Dimensions of Productivity Change in Yugoslavia, 196578, Economic Journal, 92(368): 920-936, December.
  • Pit, M. and L-F Lee (1981), The Measurement and Sources of Technical Inefficiency in the Indonesian Weaving Industry, Journal of Development Economics, 9(1): 43-64.
  • Schmidt, P. and R.C. Sickles (1984), Production Frontiers and Panel Data, Journal of Business and Economic Statistics, 2(4): 367-374, October.
  • Sharma, S.C., K. Sylwester and H. Margono (2007), Decomposition of Total Factor Productivity Growth in U.S. States, Quarterly Review of Economics and Finance, 47(May): 215-241.
  • Solow, R. (1957), Technical change and the aggregate production function, Review of Economics and Statistics, 39(3): 312-320, August.

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  • Interstate Analysis of the Decomposition of Total Factor Productivity Growth in the Organized Manufacturing Industries in India:A Stochastic Frontier Approach

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Authors

Prasanta Kumar Roy
Department of Economics, Midnapore College, Midnapore, Paschim Medinapur 721101, West Bengal, India
Purnendu Sekhar Das
Vinod Gupta School of Management, IIT, Kharagpur, Paschim Medinapur, West Bengal, India
Chiranjib Neogi
Scientist, Economic Research Unit, ISI, Kolkata, India

Abstract


According to the conventional 'Solow' residual approach or index number approach, the concept of technological progress and total factor productivity growth (TFPG) are used synonymously and TFPG is shown by solely shifting the production possibility frontier. But recent development of TFP estimation acknowledges that along with technological progress, changes in technical efficiency, economic scale effect and changes in allocative efficiency also contribute to productivity growth. The study applies a stochastic frontier production approach to decompose the sources of TFPG of the total organized manufacturing industries in fifteen major industrialized states in India as well as in all-India into four afore-mentioned components during the period from 1981-1982 to 2010-2011, during the entire period, during the pre-reform period (1981-1982 to 1990-1991) and post-reform period (1991-1992 to 2010- 2011), and also during two different decades of the post-reform period, i.e., 1991-1992 to 2000-2001 and 2001-2002 to 2010-2011. According to the estimated results, technological progress (TP) is the main contributor to the TFPG of the organized manufacturing from 1981-1982 to 2010-2011. But the TFPG declined during the post-reform period which is accounted for by the decline in TP.

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DOI: https://doi.org/10.21648/arthavij%2F2015%2Fv57%2Fi2%2F100402