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Impact of Infrastructure on Productivity: Case of Indian Registered Manufacturing

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  • Deepika Goel

    (Shri Ram College of Commerce)

Abstract

This study is primarily focused on the productivity impacts of the provision of infrastructure on the registered manufacturing sector in India. This is analyzed by estimating the cost elasticity of infrastructure inputs. For this purpose we postulate a variable cost function model for the manufacturing sector with cost as a function of the prices of the variable inputs, levels of output and infrastructure stocks. Variable inputs include capital, labour and intermediate input. Infrastructure is assumed to be a quasi-fixed input since its provision is done mainly by the public sector and it cannot be instantaneously adjusted in the short-run. The cost function model estimated consists of the variable translog cost function and the cost share equations for the variable inputs. We have used time series data and it pertains to the period 1965-1999. Twenty-three infrastructure variables are used in this study which, are aggregated using the principal component methodology. Three alternative specifications of the quasi-fixed inputs are explored. The alternatives are economic infrastructure, social infrastructure and aggregate infrastructure. Estimated results suggest that infrastructure provision enhances the productivity in the manufacturing sector and it helps to lower the costs in the sector. Apart from this it also has several bias effects with respect to the variable inputs.

Suggested Citation

  • Deepika Goel, 2002. "Impact of Infrastructure on Productivity: Case of Indian Registered Manufacturing," Working papers 106, Centre for Development Economics, Delhi School of Economics.
  • Handle: RePEc:cde:cdewps:106
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    References listed on IDEAS

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    1. Aschauer, David Alan, 1989. "Does public capital crowd out private capital?," Journal of Monetary Economics, Elsevier, vol. 24(2), pages 171-188, September.
    2. Aschauer, David Alan, 1989. "Is public expenditure productive?," Journal of Monetary Economics, Elsevier, vol. 23(2), pages 177-200, March.
    3. Nadiri, M Ishaq & Mamuneas, Theofanis P, 1994. "The Effects of Public Infrastructure and R&D Capital on the Cost Structure and Performance of U.S. Manufacturing Industries," The Review of Economics and Statistics, MIT Press, vol. 76(1), pages 22-37, February.
    4. 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.
    5. Holtz-Eakin, Douglas & Schwartz, Amy Ellen, 1995. "Infrastructure in a structural model of economic growth," Regional Science and Urban Economics, Elsevier, vol. 25(2), pages 131-151, April.
    6. Lynde, Catherine & Richmond, James, 1992. "The Role of Public Capital in Production," The Review of Economics and Statistics, MIT Press, vol. 74(1), pages 37-44, February.
    7. David Alan Aschauer, 1989. "Public investment and productivity growth in the Group of Seven," Economic Perspectives, Federal Reserve Bank of Chicago, issue Sep, pages 17-25.
    8. Matilde Mas & Joaquin Maudos & Francisco Perez & Ezequiel Uriel, 1996. "Infrastructures and Productivity in the Spanish Regions," Regional Studies, Taylor & Francis Journals, vol. 30(7), pages 641-649.
    9. Peter Pedroni & David Canning, 2004. "The Effect of Infrastructure on Long Run Economic Growth," Department of Economics Working Papers 2004-04, Department of Economics, Williams College.
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    Cited by:

    1. Francesco Aiello & Paola Cardamone, 2008. "R&D spillovers and firms’ performance in Italy," Empirical Economics, Springer, vol. 34(1), pages 143-166, February.
    2. Saraswat, Deepak, 2008. "Towards a sustainable Growth story: A critical analysis of the fundamentals," MPRA Paper 12306, University Library of Munich, Germany.
    3. Aiello, Francesco & Cardamone, Paola, 2012. "Regional economic divide and the role of technological spillovers in Italy. Evidence from microdata," Structural Change and Economic Dynamics, Elsevier, vol. 23(3), pages 205-220.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures

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