Total Factor Productivity and Technical Efficiency of Indian Manufacturing: The Role of Infrastructure and Information & Communication Technology
Drawing on a recent dataset of the Indian manufacturing industry for 1994 to 2008, this paper shows for eight sectors that core infrastructure and Information & Communication Technology (ICT) matter for Total Factor Productivity (TFP) and Technical Efficiency (TE).In the analysis, we use a range of advanced estimation techniques to overcome problems of non-stationary, omitted variables, endogeneity and reverse causality (such as System-GMM, panel cointegration and FMOLS). Estimation results suggest that the impact of core infrastructure is rather strong on TFP and TE (elasticity of 0.32 and 0.17 respectively), while the effect of ICT appears slightly smaller (0.12 and 0.08, respectively). This finding is of particular importance in the Indian context of infrastructure bottlenecks. It strongly supports the idea that a lack of infrastructure can hamper growth in developing countries. Our results also reveal that the impact of infrastructure and ICT varies among the industries. Interestingly, Transport Equipments, Metal & Metal Products and Textile, which are sectors relatively more exposed to foreign competition, are also found to be more sensitive to infrastructure endowment. This result can be extended to the Chemical industry for TE. This finding implies that improving core and ICT infrastructure would proportionally benefit more to these sectors, which could play a leading role in the competitiveness and the industrial growth of the Indian economy.
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Demetriades, Panicos O & Mamuneas, Theofanis P, 2000. "Intertemporal Output and Employment Effects of Public Infrastructure Capital: Evidence from 12 OECD Economics," Economic Journal, Royal Economic Society, vol. 110(465), pages 687-712, July.
- Syed Abul Basher & Mohammed Mohsin, 2002.
"Ppp Tests In Cointegrated Panels: Evidence From Asian Developing Countries,"
2002_05, York University, Department of Economics.
- Syed Abul Basher & Mohammed Mohsin, 2004. "PPP tests in cointegrated panels: evidence from Asian developing countries," Applied Economics Letters, Taylor & Francis Journals, vol. 11(3), pages 163-166.
- Syed A. Basher & Mohammed Mohsin, 2003. ""PPP tests in cointegrated panels: Evidence from Asian developing countries"," Macroeconomics 0310013, EconWPA.
- Syed A. Basher & Mohammed Mohsin, 2003. ""PPP tests in cointegrated panels: Evidence from Asian developing countries"," Macroeconomics 0310012, EconWPA.
- G. Duggal, Vijaya & Saltzman, Cynthia & Klein, Lawrence R., 1999. "Infrastructure and productivity: a nonlinear approach," Journal of Econometrics, Elsevier, vol. 92(1), pages 47-74, September.
- Garcia-Mila, Teresa & McGuire, Therese J & Porter, Robert H, 1996.
"The Effect of Public Capital in State-Level Production Functions Reconsidered,"
The Review of Economics and Statistics,
MIT Press, vol. 78(1), pages 177-180, February.
- Teresa Garcia-Milà & Therese J. McGuire & Robert H. Porter, 1993. "The effect of public capital in state-level production functions reconsidered," Economics Working Papers 36, Department of Economics and Business, Universitat Pompeu Fabra.
- Arellano, Manuel & Bover, Olympia, 1995.
"Another look at the instrumental variable estimation of error-components models,"
Journal of Econometrics,
Elsevier, vol. 68(1), pages 29-51, July.
- M Arellano & O Bover, 1990. "Another Look at the Instrumental Variable Estimation of Error-Components Models," CEP Discussion Papers dp0007, Centre for Economic Performance, LSE.
- Blundell, Richard & Bond, Stephen, 1998.
"Initial conditions and moment restrictions in dynamic panel data models,"
Journal of Econometrics,
Elsevier, vol. 87(1), pages 115-143, August.
- Blundell, R. & Bond, S., 1995. "Initial Conditions and Moment Restrictions in Dynamic Panel Data Models," Economics Papers 104, Economics Group, Nuffield College, University of Oxford.
- Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
- R Blundell & Steven Bond, "undated". "Initial conditions and moment restrictions in dynamic panel data model," Economics Papers W14&104., Economics Group, Nuffield College, University of Oxford.
- Bronwyn H. Hall & Jacques Mairesse, 1992.
"Exploring the Relationship Between R&D and Productivity in French Manufacturing Firms,"
NBER Working Papers
3956, National Bureau of Economic Research, Inc.
- Hall, Bronwyn H. & Mairesse, Jacques, 1995. "Exploring the relationship between R&D and productivity in French manufacturing firms," Journal of Econometrics, Elsevier, vol. 65(1), pages 263-293, January.
- Dan Ben-David, 1993. "Equalizing Exchange: Trade Liberalization and Income Convergence," The Quarterly Journal of Economics, Oxford University Press, vol. 108(3), pages 653-679.
- David Canning & Peter Pedroni, 2008. "Infrastructure, Long-Run Economic Growth And Causality Tests For Cointegrated Panels," Manchester School, University of Manchester, vol. 76(5), pages 504-527, 09.
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