R & D Behaviour of Indian Firms: A Stochastic Control Model
AbstractThis paper develops a dynamic stochastic model to explain the observed pattern of R&D input choices of Indian private firms in terms of firm size, market structure, and science base. The inputs to the production of technological knowledge are taken to be in house R&D activities, and purchase of technology and know-how from foreign and domestic suppliers. The model is estimated with firm level data from light, petro-chemical, and heavy industries. In all three industries larger firms tend to substitute domestic for foreign purchase of technology and technical knowhow; and in heavy industry, larger firms also do more in-house R&D. Monopoly power of a firm in the light industry has no significant effect on its R&D activities; in the heavy industry, higher monopoly power to a firm reduces its purchase of technology, without affecting other R&D activities; in the petro chemical industry, higher monopoly power to a firm reduces its purchase of technology, but this but this reduction is partially offset by an increase in in-house R&D expenditures.
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Bibliographic InfoArticle provided by Department of Economics, Delhi School of Economics in its journal Indian Economic Review.
Volume (Year): 23 (1988)
Issue (Month): 2 (July)
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- Lakshmi K Raut, 1997.
"Firm's R & D Behavior Under Rational Expectations,"
199705, University of Hawaii at Manoa, Department of Economics.
- M. Parameswaran, 2007. "International trade, R & D spillovers and productivity: Evidence from Indian manufacturing industry," Centre for Development Studies, Trivendrum Working Papers 385, Centre for Development Studies, Trivendrum, India.
- Vishwasrao, Sharmila & Bosshardt, William, 2001. "Foreign ownership and technology adoption: evidence from Indian firms," Journal of Development Economics, Elsevier, vol. 65(2), pages 367-387, August.
- Hasan, Rana, 2002. "The impact of imported and domestic technologies on the productivity of firms: panel data evidence from Indian manufacturing firms," Journal of Development Economics, Elsevier, vol. 69(1), pages 23-49, October.
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