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SSRN Electronic Journal
Article
License: CC BY
Data sources: UnpayWall
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Southeast Asian Economies
Article
License: CC BY
Data sources: UnpayWall
SSRN Electronic Journal
Article . 2013 . Peer-reviewed
Data sources: Crossref
Southeast Asian Economies
Article . 2014 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2013
License: CC BY
Data sources: EconStor
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Myanmar's Trade and Its Potential

Authors: Ferrarini, Benno;

Myanmar's Trade and Its Potential

Abstract

The paper estimates Myanmar’s export potential based on bilateral export patterns observed for six countries in Southeast Asia. Against that benchmark and controlling for outliers, Myanmar is found to be trading at about 15 per cent of its potential. The bulk of this gap is explained by low trade with industrialized countries. It is conjectured that economic reforms and integration with the world economy are likely to close this gap to potential rather swiftly, particularly if Myanmar can manage to capitalize on its favourable predisposition to international trade.

Keywords

gravity model, ddc:330, F14, F17, Myanmar, export potential, Außenhandel, Gravitationsmodell, Schätzung

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
hybrid