Components of Total Factor Productivity Growth of the 2-Digit Manufacturing Industries in Karnataka: A Stochastic Frontier Approach

Authors

  • Prasanta Kumar Roy Midnapore College (Autonomous), West Bengal
  • Sebak Kumar Jana Vidyasagar University, West Bengal
  • Devkumar Nayek Midnapore College (Autonomous), West Bengal

DOI:

https://doi.org/10.12725/ujbm.50.4

Keywords:

Stochastic Frontier Production Function, Total Factor Productivity Growth

Abstract

The study estimates the sources of total factor productivity growth (TFPG) of the 2-digit manufacturing industries in Karnataka during the period from 1981-82 to 2010-11, during the entire study period, during the pre & post reform period (1981-82 to 1990-91 and 1991-92 to 2010-11) and also during two different decades of the post-reform period, i.e., during 1991-92 to 2000-01 and 2001-02 to 2010-11 using stochastic frontier approach. Technological progress is found to be the major driving force of TFPG and the decline in TFPG of the state’s manufacturing industries during the post-reform period is mainly accounted for by the decline in technological progress (TP) of the same during that period.

References

Aigner, D., Lovell, C. K., & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21-37.

Battese, G. E., & Coelli, T. J. (1988). Prediction of firm level technical inefficiencies with a generalized frontier production function. Journal of Econometrics, 38, 387-399.

Battese, G. E., & Coelli, T. J. (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.

Battese, G. E., & Coelli. T. J. (1995). A model for technical inefficiency effects in a 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., Kalinda, T., & Tembo, G. (2014). Stochastic frontier analysis of the technical efficiency of smallholder maize farmers in Central Province, Zambia. Journal of Agricultural Science, 6(10), 108-118.

Coelli, T. J., Prasada Rao, D. S., & Battese, G. E. (1998). An introduction to efficiency and productivity analysis. Kluwer Academic Publisher. USA: Boston.

Coelli, T. J. (1996). A guide to FRONTIER version 4.1: A computer program for stochastic frontier production and cost function estimation, 7, 1-33. CEPA Working Paper.

Coelli, T. J., Rao, D. S. P., O'Donnell, C. J., & Battese, G. E. (2005). An introduction to efficiency and productivity analysis. Springer Science & Business Media.

Cornwell, C., Schmidt, P., & Sickles, R. C. (1990). Production frontier with cross-sectional and time-series variation in efficiency levels. Journal of Econometrics, 46(1/2), 185-200. CSO. (2007). National account statistics. New Delhi: Government of India.

Denny, M., Fuss, M., Everson, C., & Waverman, L. (1981). Estimating the effects of diffusion of technological innovations in telecommunications: The production structure of Bell Canada. Canadian Journal of Economics, 24-43.

Domazlicky, B. R., & Weber, W. L. (1998). Determinants of total factor productivity, technological change and efficiency differentials among states, 1977-86. Review of Regional Studies, 28(2), 19-33.

Fecher, F., & Perelman, S. (1992). Productivity growth and technical efficiency in OECD industrial activities. Industrial Efficiency in Six Nations, 459-488

Forsund, F. R., Lovell, C. A. K., & Schmidt, P. (1980). A survey of frontier productions and of their relationship to efficiency measurement. Journal of Econometrics, 13(1), 5-25.

Goldsmith, R. W. (1951). A perpetual inventory of national wealth. In Studies in Income and Wealth, Volume 14, 5-73. NBER.

Gounder, R., & Xayayong, V. (2004). A decomposition of total factor productivity growth in New Zealand’s manufacturing industries: A stochastic frontier approach. Department of Science and International Economics Massey University Palmerston North New Zealand.

Green, W. H. (1997). Frontier production functions. In M. H. Pesaran & P. Schmidt (Eds.), Handbook of applied econometrics, vol. 2, pp. 81-166. Oxford: Blackwell Publishers Ltd.

Greene. W. (2005). Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. Journal of Econometrics, 126(2), 269-303.

Hamit-Haggar, M. (2009). Total factor productivity growth, technological progress and efficiency changes: empirical evidence from Canadian manufacturing industries. Department of Economics, University of Ottawa, Canada, Working Paper.

Hirway. (2000). Dynamics of development in Gujarat: Some issues. Economic and Political Weekly, 35(35).

Jorgenson, D., & Griliches, Z. (1967). The explanation of productivity change. The Review of Economic Studies, 34(99), 249-280.

Kaliranjan, K., & Balasubrahmanya, M. H. (2009). An analysis of the performance of manufacturing industries in Karnataka state. The Indian Economic Journal, 56(4), 95-111.

Kim, S., & Han, G. (2001). A decomposition of total factor productivity growth in Korean manufacturing industries: A stochastic frontier approach. Journal of Productivity Analysis, 16(3), 269-281.

Korres, G. M., & Polychronopoulos, G. (2008). Productivity and regional growth in Europe. International Conference on Applied Economics., 537-546.

Kumbhakar, S. C., Wang, H. J., & Horncastle, A. P. (2015). A practitioner’s guide to stochastic frontier analysis using stata. USA: Cambridge University Press.

Kumbhakar, S. C. (1990). Production frontiers, panel data and time-varying technical inefficiency. Journal of Econometrics, 46(1/2), 201-212.

Kumbhakar, S. C., & Knox Lovell, C. A. (2000). Stochastic frontier analysis, 279-309. U.K.: Cambridge University Press.

Kumbhakar, S. C., Ghosh, S., & McGuckin, J. T. (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.

Madheswaran, S., Liao, H., & Rath, B. N. (2007). Productivity growth of Indian manufacturing sector: Panel estimation of stochastic production frontier and technical efficiency. The Journal of Developing Areas, 40(2).

Mandal, S. K., & Madheswaran, S. (2009). Technological progress, scale effect and total factor productivity growth in Indian cement industry: Panel estimation of stochastic production frontier. The Institute for Social and Economic Change, Bangalore. Working Paper.

Meeusen, W., & Van den Broeck, J. (1977). Efficiency estimation form Cobb-Douglas production function with composed error. International Economic Review, 18(2), 435-444.

Minh, N. K., Khanh, P. V., Minh, N. T., & Anh, N. T. P. (2012). Productivity growth, technological progress and efficiency change in Vietnamese manufacturing industries: A stochastic frontier approach. Open Journal of Statistics, 2, 224-235.

Nishimizu, M, & Page, Jr., J. M. (1982). Total factor productivity growth, technological progress and technical efficiency change: Dimensions of productivity change in Yugoslavia, 1965-78. Economic Journal, 92(368), 920-936.

Norsworthy, J. R., & Jang, S. L. (1992). Empirical measurement and analysis of productivity and technological change. Amsterdam: Elsevier Science Publisher. OECD. (2001). Productivity and firm dynamics: Evidence from micro data. Economic Outlook, 69, 209-233.

Pit, M. M., & Lee, L. F. (1981). The measurement and sources of technical inefficiency in the Indonesian weaving industry. Journal of Development Economics, 9(1), 43-64.

Reifschneider, D., & Stevenson, R. (1991). Systematic departures from the frontier: A framework for the analysis of firm inefficiency. International Economic Review, 32(3), 715-723. Reserve Bank of India, (2004). Report on Currency and Finance, 2002-03. Mumbai.

Roy, P. K., Das, P. S. (2018). Productivity growth decomposition in the manufacturing industries of food, beverages and tobacco products in India: A stochastic frontier approach. Arthashastra: Indian Journal of Economics & Research, 7(1), 37-57.

Roy, P. K., Das, P. S., & Neogi, C. (2015). Interstate analysis of the decomposition of total factor productivity growth in the organized manufacturing industries in India: A stochastic frontier approach. Artha Vijnana, Gokhale Institute of Politics and Economics, 57(2), 135-160

Roy, P. K., Das, P. S., & Pal, M. K. (2015-16), Decomposition of total factor productivity growth of the organized manufacturing industries in West Bengal: Panel estimation of stochastic production frontier. Vidyasagar University Journal of Economics, 20, 20-42.

Roy, P. K., Das, P. S., & Pal, M. K. (2016). Productivity growth in Indian manufacturing: Panel estimation of stochastic production frontier.

Indian Journal of Industrial Relations, Sri Ram Centre for Industrial Relations, Human Resources, Economic & Social Development, 52(1), 71-86.

Roy, P. K., Das, P. S., & Pal, M. K. (2017). Decomposition of output and productivity growth: A panel study of 2-digit manufacturing industries in West Bengal. Artha Beekshan, Journal of Bengal Economic Association, 26(3), 40-63.

Roy, P. K., Das, P. S., & Pal, M. K. (2017). Decomposition of output and productivity growth of the 2-digit manufacturing industries in West Bengal: A stochastic frontier approach. Rabindra Bharati University Journal of Economics, 11, 48-66.

Roy, P. K., Das, P. S., & Pal, M. K. (2017). Decomposition of total factor productivity growth of the 2-digit manufacturing industries in West Bengal:Aa stochastic frontier approach. Arthaniti, 16(1&2), 101-124.

Roy, P. K., Das, P. S., & Pal, M. K. (2017). Output and productivity growth decomposition: A panel study of the total organized manufacturing of fifteen major industrialized states in India. The Indian Journal of Economics, 388.

Roy, P. K., Das, P. S., & Pal, M. K. (2018). Output and productivity growth decomposition: A panel study of manufacturing industries in India. The Indian Journal of Industrial Relations, 53(3), 361-377.

Schmidt, P., & Sickles, R.C. (1984). Production frontiers and panel data. Journal of Business and Economic Statistics, 2(4), 367-374.

Sharma, S. C., Sylwester, K., & Margono, H. (2007). Decomposition of total factor productivity growth in U.S. states. Quarterly Review of Economics and Finance, 47(2), 215–241.

Sharmila, R., & Hosamane, M. D. (2014). An empirical analysis of total factor productivity growth of manufacturing sector in Karnataka. MSRUAS Journal of Management and Commerce, 1(1), 5-8.

Solow, R. M. (1957). Technical change and the aggregate production function. The Review of Economics and Statistics, 39(3), 312-320.

Downloads

Published

2020-01-01

How to Cite

Kumar Roy, P. ., Kumar Jana, S. ., & Nayek, D. . (2020). Components of Total Factor Productivity Growth of the 2-Digit Manufacturing Industries in Karnataka: A Stochastic Frontier Approach. Ushus Journal of Business Management, 19(1), 47-73. https://doi.org/10.12725/ujbm.50.4