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Debt, corruption, R&D and growth in developing countries

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  • Dimaria, Charles-Henri
  • Le Van, Cuong

Abstract

This paper analyses optimal paths in a one-sector growth model when the technology is not convex. In such a case, we prove that optimal paths converge to the upper steady state iff the initial wealth is above a critical level. Then we first show that thanks to debt and/or R&D the poverty trap may be avoided. Second, we introduce a distortion: corruption which mostly has dramatic consequences on growth. These results may explain why empirical works lead to the conclusion of non convergence in large cross-country samples.

Suggested Citation

  • Dimaria, Charles-Henri & Le Van, Cuong, 1998. "Debt, corruption, R&D and growth in developing countries," CEPREMAP Working Papers (Couverture Orange) 9817, CEPREMAP.
    • Handle: RePEc:cpm:cepmap:9817
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    References listed on IDEAS

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    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. W. Davis Dechert & Kazuo Nishimura, 2012. "A Complete Characterization of Optimal Growth Paths in an Aggregated Model with a Non-Concave Production Function," Springer Books, in: John Stachurski & Alain Venditti & Makoto Yano (ed.), Nonlinear Dynamics in Equilibrium Models, edition 127, chapter 0, pages 237-257, Springer.
    3. David Cass, 1965. "Optimum Growth in an Aggregative Model of Capital Accumulation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 32(3), pages 233-240.
    4. Azariadis, Costas, 1996. "The Economics of Poverty Traps: Part One: Complete Markets," Journal of Economic Growth, Springer, vol. 1(4), pages 449-496, December.
    5. Pranab Bardhan, 1997. "Corruption and Development: A Review of Issues," Journal of Economic Literature, American Economic Association, vol. 35(3), pages 1320-1346, September.
    6. Mukul Majumdar & Tapan Mitra, 1995. "Patterns Of Trade And Growth Under Increasing Returns: Escape From The Poverty Trap," The Japanese Economic Review, Japanese Economic Association, vol. 46(3), pages 207-223, September.
    7. Majumdar, Mukul & Mitra, Tapan, 1982. "Intertemporal allocation with a non-convex technology: The aggregative framework," Journal of Economic Theory, Elsevier, vol. 27(1), pages 101-136, June.
    8. Quah, Danny T, 1996. "Convergence Empirics across Economies with (Some) Capital Mobility," Journal of Economic Growth, Springer, vol. 1(1), pages 95-124, March.
    9. Paolo Mauro, 1995. "Corruption and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 681-712.
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    More about this item

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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