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From learning to partnership : multinational research and development cooperation in developing countries

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  • Navaretti, Giorgio Barba
  • Carraro, Carlo

Abstract

The authors analyze the determinants of interfirm agreements between industrial and developing countries for research and development (R&D) - that is, between firms with asymmetric endowments of knowledge. They develop a model in which a multinational has two options: a) setting up a subsidiary and competing with a local firm in a duopoly, or b) implementing an agreement and sharing monopoly profits. The two firms, if they chose the agreement, may also cooperate in R&D. The model shows that: a) the choice of cooperating in R&D is influenced by the intertemporal preferences of the developing country firm, the relative efficiency in R&D of the two firms, and the extent of knowledge spillovers; and b) the choice of cooperating R&D increases both the profitability and stability of the agreement. The empirical analysis is based on a data set of international arm's length agreements, part of which involve joint R&D. Testing the two-choice model supports some of the key theoretical results and assumptions. R&D agreements are particularly likely to emerge when firms are operating in knowledge-intensive industries, when the partners have a nonhierarchical contractual relationship, and when technological asymmetries between home and host countries exist but are not too great.

Suggested Citation

  • Navaretti, Giorgio Barba & Carraro, Carlo, 1996. "From learning to partnership : multinational research and development cooperation in developing countries," Policy Research Working Paper Series 1662, The World Bank.
    • Handle: RePEc:wbk:wbrwps:1662
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    References listed on IDEAS

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    6. Wilfred J. Ethier, 1986. "The Multinational Firm," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(4), pages 805-833.
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    Cited by:

    1. Marra, Mita, 2004. "Knowledge partnerships for development: what challenges for evaluation?," Evaluation and Program Planning, Elsevier, vol. 27(2), pages 151-160, May.

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