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Tariffs vs Quotas in a Model of Trade with Capital Accumulation


Giacomo Calzolari


University of Bologna - Department of Economics; Centre for Economic Policy Research (CEPR)

Luca Lambertini


University of Bologna - Department of Economics


Review of International Economics, Vol. 14, No. 4, pp. 632-644, September 2006

Abstract:     
This paper examines the equivalence among price-modifying and quantity-fixing international trade policies in a differential game. We employ two well-known capital accumulation dynamics for firms, due to Nerlove and Arrow and to Ramsey, respectively. We show that, in both cases, open-loop and closed-loop Nash equilibria coincide. Under the former accumulation the tariff-quota equivalence holds, while, in general, it does not under the latter. Moreover, in the Ramsey model, the country setting the trade policy (weakly) prefers a quantity-equivalent import quota to the adoption of the tariff. These results are not a consequence of the equilibrium concept we adopt (with and without market power), but directly follow from the interplay between market power and the properties of accumulation dynamics.

Number of Pages in PDF File: 13

Accepted Paper Series


Date posted: August 16, 2006  

Suggested Citation

Calzolari, Giacomo and Lambertini, Luca, Tariffs vs Quotas in a Model of Trade with Capital Accumulation. Review of International Economics, Vol. 14, No. 4, pp. 632-644, September 2006. Available at SSRN: http://ssrn.com/abstract=924473 or http://dx.doi.org/10.1111/j.1467-9396.2006.00656.x

Contact Information

Giacomo Calzolari (Contact Author)
University of Bologna - Department of Economics ( email )
Piazza Scaravilli 2
I-40126 Bologna
Italy
0039 051 2098489 (Phone)
0039 051 2098493 (Fax)
HOME PAGE: http://www2.dse.unibo.it/calzolari/
Centre for Economic Policy Research (CEPR) ( email )
77 Bastwick Street
London, EC1V 3PZ
United Kingdom
Luca Lambertini
University of Bologna - Department of Economics ( email )
Strada Maggiore 45
Bologna, 40125
Italy
+39 051 2092600 (Phone)
+39 051 2092664 (Fax)
Feedback to SSRN (Beta)


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