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Singh, Parminder
- Decomposition of Technical Efficiency and Productivity Growth in Indian Pharmaceutical Industry:A Non-Parametric Analysis
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1 Punjab School of Economics, Guru Nanak Dev University, Amritsar 143005, IN
1 Punjab School of Economics, Guru Nanak Dev University, Amritsar 143005, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 56, No 4 (2014), Pagination: 456-478Abstract
This paper analyzes the technical efficiency and total factor productivity growth of Indian pharmaceutical sector for the period 1991 to 2011, using Data Envelopment Analysis. Cross sectional data for 30 major Indian pharmaceutical firms have been culled out from the reports of Centre for Monitoring Indian Economy, Economic Survey of India and Annual Survey of Industries. The technical efficiency of 30 major Indian Pharmaceutical firms have been calculated at five points of time, whereas the TFP growth has been calculated four periods. Three inputs have been considered, viz., net fixed assets, raw material and total expenses and one output, i.e., net sales. Average performance of the selected firms was suboptimal and the inefficiencies were enlarged in the post-TRIPS period. Decomposition of total factor productivity growth into efficiency change and technological change reveals that productivity growth was positive in the Pre-TRIPS period, but became negative thereafter. Technological change contributed towards the growth of productivity whereas efficiency change restricted the potential productivity growth. There is a need to reduce the managerial, technical and scale inefficiencies and ensure efficient capacity utilization.
- Regional Growth Differentialsin Indian Manufacturing Sector: A Convergence Analysis
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Authors
Affiliations
1 Mata Ganga Girls College, Tarn Taran 143401, Punjab, IN
2 Punjab School of Economics, Guru Nanak Dev University, Amritsar 143005, Punjab, IN
1 Mata Ganga Girls College, Tarn Taran 143401, Punjab, IN
2 Punjab School of Economics, Guru Nanak Dev University, Amritsar 143005, Punjab, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 62, No 3 (2020), Pagination: 239-256Abstract
The paper examines the efficiency variations as well as the convergence analysis of efficiency levels in Indian manufacturing sector during pre- and post-reforms period spanning from 1980/81 to 2014/15. Using non- parametric approach of data envelopment analysis (DEA), the mean scores of technical efficiency (TE) as well as scale efficiency (SE) have been computed for sixteen major Indian states. Results of the study revealed an average efficiency (inefficiency) to the tune of 76 per cent (24 per cent) in Indian manufacturing sector as a whole. Further, the decomposition analysis of technical inefficiency into pure technical inefficiency (PTE) and scale inefficiency (SE) revealed pure technical inefficiency (also known as managerial inefficiency) as the dominant source of overall technical inefficiency inthese states. In case of convergence analysis, results of the study confirm the presence of convergence during pre-reforms period only, which totally disappeared during the post-reforms period. It implies that the phenomenon of “learning by doing” is almost missing in these manufacturing states. Further, the analysis reveals that the process of economic reforms has failed to render a positive impact to narrow down the inequalities or improving the efficiency of Indian manufacturing sector.References
- Adabar (2004), Convergence of Standards ofLiving Across Indian States, Working Paper 153, Institute for Social and Economic Change, Bangalore.
- Arora, N. (2013), Testing of Technical Efficiency Catching-up in Indian Sugar Industry: A Longitudinal Analysis of SugarProducing States,Atlantic Review of Economics, 12: 96-121.
- Barro, R. (1991), Economic Growth in a Cross-Section of Countries, Quarterly Journal of Economics, 106(2): 407-443.
- Barro, R.J. and X. Sala-i-Martin (1991), Convergence Across States and Regions, Brookings Papers on Economic Activity, 1, 107-58.
- ---------- (1992), Convergence, Journal of Political Economy, 100(2): 223-251.
- ---------- (1995), Economic Growth, New York: McGraw-Hill.
- Baumol, W.J. (1986), ProductivityGrowth, Convergence, and Welfare: What the Long Run Data Show, American Economic Review, 76(5): 1072-1085.
- Bernard, A.B. and Charles I. Jones (1996a), Comparing Apples toOranges: Productivity Convergence and Measurement across Industries and Countries, American Economic Review, 86: 1216-1238.
- ---------- (1996b), Productivity across Industries and Countries: Time Series Theory and Evidence, Review of Economics and Statistics, 78: 135-146.
- Charnes, A., W.W. Cooper and E.Rhodes (1978), Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, 2(6): 429-444, November.
- Coelli, T.J. (1996), A Guide to DEAP Version 2.1: A Data Envelopment Analysis (Computer) Program, CEPA Working Paper 08/96, Department Of Econometrics, University of England, Armidale.
- Fung, M.K. (2006), Scale Economies, X-efficiency and Convergence of Productivity among Bank Holding Companies, Journal of Banking and Finance, 30(1): 2857-2874.
- Ghosh, M. (2008), Economic Reforms, Growth and Regional Divergence in India, Margin, 2(3): 265-285.
- Kalirajan, K.P., R.T. Shand andS. Bhide (2000), Economic Reforms and Convergence of Incomes across Indian States: Benefits for the Poor, in: S. Gangopadhya and W. Wadhwa (Eds.) Economic Reforms for the Poor, Konark Publishers, New Delhi.
- Koski, H.J. and S.K. Majumdar (2000), Convergence in Telecommunications Infrastructure Development in OECD Countries, Information Economics and Policy, 12(1): 111-131.
- Kumar, S. (2003), Inter-Temporaland Inter-State Comparison of Total Factor Productivity in Indian Manufacturing Sector: An Integrated Growth Accounting Approach, Artha Vijnana, 45(3-4): 161-184.
- Kumar, S. and N. Arora (2007), Technical and Scale Efficiency in Indian Manufacturing Sector: A Cross-sectional Analysis Using Deterministic Frontier Approach, The Asian Economic Review, 49(3): 433- 458.
- Kumar, S. and R. Gulati (2008), Did Efficiency of Indian PublicSector Banks Converge with Banking reforms?, International Review of Economics,56(1): 47-84.
- Lewin, A.Y. and L.M. Seiford (1997), Extending the Frontiers ofData Envelopment Analysis, Annals of Operations Research, 73:1-11.
- Marjit, S. and S. Mitra (1996),Convergence in Regional Growth Rates: Indian Research Agenda, Economic and Political Weekly, 31:2239-2242.
- Mukherjee, K. and Subhash C. Ray (2004), Technical Efficiency and its Dynamics in Indian Manufacturing: An Inter-state Analysis, University of Connecticut, Economics Working Paper Series, 18, USA.
- Rao, M.G, R.T. Shand and K.P. Kailrajan (1999), Convergence of Incomes across Indian States, Economic and Political Weekly, 34: 769-778.
- Rath, Badri Narayan and S. Madheswaran (2010), Did ProductivityConverge in Manufacturing Sector across Indian States?, Regional and Sectoral EconomicStudies, Euro-American Association of Economic Development, 10(2): 185-200.
- Sala-i-Martin, X.X. (1996), The Classical Approach to Convergence Analysis, The Economic Journal, 106(437): 1019-1036.
- Thirtle, C., J. Piesse, A. Lusigi and K. Suhariyanto (2003), Multi-Factor Agricultural Productivity, Efficiency and Convergence in Botswana: 1981-9, Journal of Development Economics, 71(1): 605-624.
- Trivedi, P. (2004), An Inter-State Perspective on ManufacturingProductivity in India: 1980-81 to 2000 01, Indian Economic Review, 39(1): 203-237.
- Veermani, C. and B. Goldar (2004), Investment Climate and TFP in Manufacturing: Analysis of Indian States, Working Paper No. 127, International Council for Research on International Economic Relations, New Delhi.