Intra-National Trade as Channels of Spillovers in Developing Countries

Yong He ()
Additional contact information
Yong He: CERDI - Centre d'Études et de Recherches sur le Développement International - UCA [2017-2020] - Université Clermont Auvergne [2017-2020] - CNRS - Centre National de la Recherche Scientifique

Post-Print from HAL

Abstract: We developed a model to explore the comparative advantage based intra-national trade in developing countries, as a contrast to models driven by increasing returns and agglomeration that prevail in the developed world. The model incorporates technological spillovers and trade. The findings suggest that the intra-national trade share of a region is inversely proportional to its technological level, and that economic growth diffuses along the intra-national trade network from the developed country, through the advanced regions of the developing country, into its less developed regions. Internal trade costs exert a multiplied hindering effect, stronger than that of border barriers, on national growth. The statistics derived from China's 2007 provincial input-output tables provide evidence in favor of the main theoretical findings.

Keywords: Comparative Advantage-based Intra-national Trade; Intra-national Spillovers; Regional Input-output Tables; Regional Disparity; Endogenous Growth Model (search for similar items in EconPapers)
Date: 2017-06-15
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Published in Journal of Economic Integration, 2017, 32 (2), pp.358 - 399. ⟨10.11130/jei.2017.32.2.358⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:hal:journl:hal-01682668

DOI: 10.11130/jei.2017.32.2.358

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().