Abstract

 
 

Citations



 


 



Growth and Trade: The North Can Lose


Antonio Spilimbergo


International Monetary Fund (IMF) - Research Department; Centre for Economic Policy Research (CEPR); University of Michigan at Ann Arbor - The William Davidson Institute


Journal of Economic Growth, Vol. 5, June 2000

Abstract:     
Several models on growth and trade conclude that a country grows more when trading with a less developed country. This paper shows that this conclusion depends crucially on the assumptions of homothetic preferences and/or having just two goods with respect to learning-by-doing. The paper presents a model where the more advanced country (North) can be worse off after trading with a less developed country (South) because the demand pattern of the South is biased towards Northern products with less learning-by-doing potential. Trade can worsen the welfare if the South is large with respect to the North and/or the preference for low technology goods is high; a necessary condition is the presence of nonhomotheticity of preferences and that the North exports at least two types of goods. In this context, the paper studies the welfare of North and South, separating the static from the dynamic gains from trade.

Keywords: non-homothetic demand learning-by-doing

JEL Classification: O41, F15

Accepted Paper Series


Date posted: January 23, 2001  

Suggested Citation

Spilimbergo, Antonio, Growth and Trade: The North Can Lose. Journal of Economic Growth, Vol. 5, June 2000. Available at SSRN: http://ssrn.com/abstract=252862

Contact Information

Antonio Spilimbergo (Contact Author)
International Monetary Fund (IMF) - Research Department ( email )
700 19th Street NW
Washington, DC 20431
United States
202-623-6346 (Phone)
202-623-6336 (Fax)
Centre for Economic Policy Research (CEPR)
77 Bastwick Street
London, EC1V 3PZ
United Kingdom
University of Michigan at Ann Arbor - The William Davidson Institute ( email )
724 E. University Ave.
Wyly Hall
Ann Arbor, MI 48109-1234
United States
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 391

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo1 in 0.313 seconds