Positive and Negative Population Growth and Long-Run Trade Patterns: A Non-Scale Growth Model

Hiroaki Sasaki

Discussion papers from Graduate School of Economics Project Center, Kyoto University

Abstract: This paper builds a two-country, two-sector, non-scale growth model and investigates the relationship between trade patterns and the growth rate of per capita real consumption. We consider negative population growth as well as positive population growth. We show that, as long as the population growth rates of the two countries are different, if the country that accumulates capital stock has negative population growth, no trade patterns are sustainable in the long run. This is true irrespective of the population growth rate of the other country. Moreover, we show that, if the country that accumulates capital stock has positive population growth, two trade patterns are sustainable in the long run. In this case, either each country's per capita growth is determined by the population growth of the capital-accumulating country or the population growth of both countries, depending on which of the two trade patterns is realized.

Keywords: positive/negative population growth; trade patterns; non-scale growth model (search for similar items in EconPapers)
JEL-codes: F10 F43 O11 O41 (search for similar items in EconPapers)
Pages: 28 pages
Date: 2013-10
New Economics Papers: this item is included in nep-age and nep-fdg
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.econ.kyoto-u.ac.jp/projectcenter/Paper/e-13-004.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kue:dpaper:e-13-004

Access Statistics for this paper

More papers in Discussion papers from Graduate School of Economics Project Center, Kyoto University Contact information at EDIRC.
Bibliographic data for series maintained by Graduate School of Economics Project Center ().