Refine your search
Collections
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Das, Purnendu Sekhar
- Productivity Growth of Indian Manufacturing: Panel Estimation of Stochastic Production Frontier
Abstract Views :237 |
PDF Views:1
Authors
Affiliations
1 Dept. of Economics, Midnapore College (Autonomous) 721101, IN
2 Vinod Gupta School of Management, IIT Kharagpur, IN
3 Dept. of Economics, Vidyasagar University, Midnapore, IN
1 Dept. of Economics, Midnapore College (Autonomous) 721101, IN
2 Vinod Gupta School of Management, IIT Kharagpur, IN
3 Dept. of Economics, Vidyasagar University, Midnapore, IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 52, No 1 (2016), Pagination: 71-86Abstract
Along with technological progress, changes in technical efficiency, scale effect and changes in allocative efficiency can also contribute to productivity growth. The present study used the stochastic frontier production approach to decompose sources of TFPG of organized manufacturing into technological progress, changes in technical efficiency, scale effect and changes in allocative efficiency during 1981/ 82 -2010/11. According to the results, technical inefficiency, though exists, is time invariant and technological progress (TP) became the main contributor to TFPG of the sector during 1981/82 – 2010/11. Furthermore, TFPG of organized manufacturing in most states in India declined during the post-reform period due to the decline in technological progress.
- Output & Productivity Growth Decomposition:A Panel Study of Manufacturing Industries in India
Abstract Views :308 |
PDF Views:1
Authors
Affiliations
1 Dept. of Economics, Midnapore College (Autonomous), Midnapore-721101, W.B., IN
2 Vinod Gupta School of Management, Indian Institute of Technology, Kharagpur, IN
3 Dept. of Economics With Rural Development, Vidyasagar University, Midnapore, Paschim Medinipur (W.B.), IN
1 Dept. of Economics, Midnapore College (Autonomous), Midnapore-721101, W.B., IN
2 Vinod Gupta School of Management, Indian Institute of Technology, Kharagpur, IN
3 Dept. of Economics With Rural Development, Vidyasagar University, Midnapore, Paschim Medinipur (W.B.), IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 53, No 3 (2018), Pagination: 361-377Abstract
This paper decomposes output and productivity growth of thirteen 2-digit manufacturing industries as well as total manufacturing industry in India during 1981-82 to 2010-11. The four attributes of output growth are input growth, adjusted scale effect, technological progress and technical efficiency growth. A stochastic frontier model with a translog production function is used to estimate the growth attributes of the manufacturing industries. The results show that input growth is the major contributor to output growth whereas total factor productivity growth (TFPG) sometimes remains inadequate even though it has a positive and significant effect on output growth. Technological progress is found to be the major contributor to TFPG and the scale effect has become important during recent years.References
- Aigner, D.J.,C.A.K. Lovell & P. Schmidt (1977), “Formulation and Estimation of Stochastic Frontier Production Function Models”, Journal of Econometrics, 6 (1): 21-37.
- Battese, G.E. & T.J. Coelli (1988), “Prediction of Farm Level Technical Efficiencies with a Generalized Frontier Production Function and Panel Data,” Journal of Econometrics, 38 (3): 387-399.
- Battese, G.E. & T.J. Coelli (1992), “Frontier Production Functions, Technical Efficiency and Panel Data: With Application to Paddy Farmars in India”, Journal of Productivity Analysis, 3(1/2): 153-69.
- Battese, G.E. & T.J. Coelli (1995), “A Model for Technical Inefficiency Effects in the Stochastic Frontier Production for Panel Data”, Empirical Economics, 20(2): 325-32.
- Bauer, P. W.(1990), “Decomposing TFP Growth in the Presence of Cost Inefficiency, Non-constant Returns to Scale, and Technological Progress”, Journal of Productivity Analysis, 1(4): 287-99.
- 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, Dept. of Econometrics, University of New England, Armidale.
- Coelli, T. J., D. Rao, S. Prasada & G.E. Battese (1998), An Introduction to Efficiency and Productivity Analysis, Boston: Kluwer Academic Publisher.
- CSO (2007), National Account Statistics, Government of India, New Delhi.
- Denny, M., Fuss, M. & Waverman, L. (1981), “The Measurement and Interpretation of Total Factor Productivity in Regulated Industries with an Application to Canadian Telecommunications” in T. G. Cowing and R. E. Stevenson (eds.), Productivity Measurement in Regulated Industries, New York: Academic Press.
- Greene, W. (2005), “Reconsidering Heterogeneity in Panel Data Estimators of the Stochastic Frontier Model”, Journal of Econometrics, 126 (2): 269-303.
- Jorgenson, Dale & Z. Griliches (1967), “The Explanation of Productivity Change”, The Review of Economic Studies, 34 (3): 249-80.
- Kim, Sangho & Gwanho Han (2001), “A Decomposition of Total Factor Productivity Growth in Korean Manufacturing Industries: A Stochastic Frontier Approach,” Journal of Productivity Analysis, 16(3): 269-81.
- Kumbhakar, S.C (1990), “Production Frontiers, Panel Data and Time-varying Technical Inefficiency,” Journal of Econometrics, 46(1/2): 201-12.
- Kumbhakar, S.C & C.A.Knox Lovell (2000), Stochastic Frontier Analysis, Cambridge University Press, Cambridge.
- Li Kui-Wai & Tung Liu (2011), “Economic and Productivity Growth Decomposition: An Application to Post-reform China,” Economic Modeling, 28: 366-73.
- Minh, N. K., P.V. Khanh, N.T. Minh & 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.
- OECD (2001), “Productivity and Firm Dynamics: Evidence From Microdata,” Economic Outlook, 69: 209-33.
- Roy, P.K., P.S. Das, and C. Neogi (2015), “Interstate Analysis of the Decomposition of Total Factor Productivity Growth in the Organized Manufacturing Industries in India: A Stochastic Frontier Approach,” Artha Vijnana, LVII (2):135-60.
- Roy P. K., P. S. Das & Pal M.K. (2016), “Productivity Growth in Indian Manufacturing: Panel Estimation of Stochastic Production Frontier”, The Indian Journal of Industrial Relations, 52(1):.71-86.
- Sharma, S.C; K. Sylwester & H. Margono (2007), “Decomposition of Total Factor Productivity Growth in U.S. States,” Quarterly Review of Economics and Finance, 47(2): 215-41.
- Solow, Robert M (1957), “Technical Change and the Aggregate Production Function”, The Review of Economics and Statistics,” 39(3): 312-20.
- Estimation & Decomposition of Productivity Change in Food, Beverages & Tobacco Products Using Frontier Approaches
Abstract Views :122 |
PDF Views:0
Authors
Affiliations
1 Midnapore College (Autonomous), Midnapore 721101, IN
2 Dept. of Economics with Rural Development, Vidyasagar University, Midnapore, IN
3 Vinod Gupta School of Management, IIT, Kharagpur, IN
1 Midnapore College (Autonomous), Midnapore 721101, IN
2 Dept. of Economics with Rural Development, Vidyasagar University, Midnapore, IN
3 Vinod Gupta School of Management, IIT, Kharagpur, IN
Source
Indian Journal of Industrial Relations: Economics & Social Dev., Vol 56, No 4 (2021), Pagination: 587-608Abstract
The study estimates and decomposes the sources of productivity change of the 4- digit food, beverages and tobacco industries in India during 1998/99 – 2017/18, pre-economic crises period (1998-99 to 2007-08) and post-economic crises period (2008-09 to 2017-18) using Data Envelop Analysis (DEA) and Stochastic Frontier Approach (SFA). The study decomposes the source s of TFPG into technological change (TP), technical efficiency change (TEC) and economic scale change (SC). It was found that the growth rates of TFP in most of the 4-digit industries of food, beverages and tobacco products in India have declined during the post financial meltdown period (2008/09 – 2017/18) and the decline in TFPG of them during the period is mainly accounted for by the decline in technological progress (TP).References
- Aigner, D.J., C.A.K. Lovell & P. Schmidt (1977), “Formulation and Estimation of Stochastic Frontier Models,” Journal of Econometrics, 6: 21–37
- Bauer, P. W. (1990), “Decomposing TFP Growth in the Presence of Cost Inefficiency, Nonconstant Returns to Scale, and Technical Progress,” Journal of Productivity Analysis 1: 287-99
- Caves, D., Christensen L. & Diewert, W.E. (1982), “The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity”, Econometrica, 50: 1393-1414
- 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, Dept. of Econometrics, University of New England,
- Armidale Coelli, T. J., D. S. Prasada Rao & G.E. Battese (1998), An Introduction to Efficiency and Productivity Analysis, Kluwer Academic Publisher, Boston, M.A., USA
- Deb A.K. & Ray S.C. (2014), “Total Factor Productivity Growth in Indian Manufacturing: A Biennial Malmquist Analysis of Interstate Data”, Indian Economic Review, 49 (1): 1-25
- Fare, R., S. Grosskopf, M. Norris & Z. Zhang (1994), “Productivity Growth, Technical Progress and Eûciency Change in Industrialized Countries”, American Economic Review, 84 (1): 66-83
- Goldsmith, Raymond W. (1951), “Perpetual Inventory of National Wealth,” Studies in Income and Wealth, Vol.14, NBER, New York
- Heshmati, Almas & Kumbhakar, Subal C. (2010), “Technical Change and Total Factor Productivity Growth: The Case of Chinese Provinces ,” TEMEP Di scussion Papers 2010-54, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Feb 2010
- Joshi, R.N. & Singh, S.P. (2010), “Estimation of Total Factor Productivity in the Indian Garment Industry,”Journal of Fashion Marketing and Management, 14(1): 145-60
- Kalirajan, K. P., M. B. Obwona & S. Zhao (1996), “A Decomposition of Total Factor Productivity Growth: The Case of Chinese Agricultural Growth Before and After Reforms”, American Journal of Agricultural Economics, 78: 331-38
- Kim, S & G. Han (2001), “A Decomposition of Total Factor Productivity Growth in Korean Manufacturing Industries: A Stochastic Frontier Approach,” Journal of Productivity Analysis, 16(3):269-81
- Kumar, Surender (2004), “Decomposition of Total Factor Productivity Growth: A Regional Analysis of Indian Industrial Manufacturing Growth,” Working Paper 04/22, National Institute of Public Finance and Policy, New Delhi
- Kumbhakar, S.C. & Lovell, C.A.K. (2000), Stochastic Frontier Analysis, Cambridge University Press, Cambridge, U.K
- Liu, Wanghui & Huang Bing (2009), “A Decomposition of Total Factor Productivity Growth in China’s Steel Industry: A Stochastic Frontier Approach” International Conference on Business Intelligence and Financial Engineering, Beijing, 10.1109/ BIFE-2009-203.
- Mahadevan, R. (2001), “Assessing the Output and Productivity Growth of Malaysia’s Manufacturing Sector”,Journal of Asian Economics, 12(4):587-97
- Mahadevan, R. (2002), “A DEA Approach to Understanding the Productivity Growth of Malaysia’s Manufacturing Industries”,Asia Pacific Journal of Management, 19(4): 587600
- Meeusen, W. & J. Van den Broeck (1977), “Efficiency Estimation Form Cobb-Douglas Production Function with Composed Error”, International Economic Review,18 (2):43544
- Nishimizu, M. & J. M. Page (1982), “Total Factor Productivity Growth, Technical Progress and Technical Efficiency Change: Dimensions of Productivity Change in Yugoslavia, 1965–78,” The Economic Journal, 92: 929-36
- Njuki, Eric, Boris E. Bravo-Ureta& Christopher J. O’Donnell (2018), “Decomposing Agricultural Productivity Growth Using a Randomparameters Stochastic Production Frontier,” Empirical Economics, 57 (3): 1-22
- Ray, Subhash. C. (1997), “Regional Variation in Productivity Growth in Indian Manufacturing: A Non-parametric Analysis,” Journal of Quantitative Economics, 13: 73-94.
- Ray, Subhash C. (2002), “Did India’s Economic Reforms Improve Efficiency and Productivity? A Non-parametric Analysis of the Initial Evidence from Manufacturing”, Indian Economic Review, 37: 23-57
- Ray, Subhash C. (2004), Data Envelopment Analysis: Theory and Techniques for Economics and Operations Research, Cambridge University Press
- Roy P. K., P. S. Das & Pal M.K. (2017), “Decomposition of Total Factor Productivity Growth of the 2-Digit Manufacturing Industries in West Bengal: A Stochastic Frontier Approach”, Arthaniti, XVI (1&2):101-24
- Roy P. K. & P. S. Das (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
- Sharma, S.C., K. Sylwester & H. Margono (2007), “Decomposition of Total Factor Productivity Growth in U.S. States,” Quarterly Review of Economics and Finance, 47(2):215–41