Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/24681
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dc.contributor.authorخالدي خليفة-
dc.contributor.authorعبداللاوي عقبة-
dc.contributor.authorمخزومي لطفي-
dc.date.accessioned2021-01-05T21:24:33Z-
dc.date.available2021-01-05T21:24:33Z-
dc.date.issued2020-12-31-
dc.identifier.issn2392-5302-
dc.identifier.urihttp://dspace.univ-ouargla.dz/jspui/handle/123456789/24681-
dc.descriptionAlgerian review of economic developmenten_US
dc.description.abstractThis study aimed to measure and analyze the impact of trade facilitation measures represented in Liner Shipping Connectivity Index, Quality of port infrastructure, Burden of customs procedures,and Container port traffic, on GDP per person employed, for a sample consisting of From 24 developing countries from middle-income countriesaccording to the World Bank classification, during the period 2007-2019. To achieve this aim, the study used the Panel Data Approach by applying three models: the Poold Regression Model (PRM), the Fixed Effects Model (FRM), and the Rondom Effects Model (RRM). The experimental results revealed a positive significant relationship between the quality of the port’s infrastructure in GDP per-worker, and it also showed an adverse effect of the container port traffic on GDP per-worker in these countriesen_US
dc.language.isootheren_US
dc.relation.ispartofseriesvolume 7 n 2 2020;-
dc.subjectTrade Facilitation Measuresen_US
dc.subjectEconomic growthen_US
dc.subjectMiddle-income developing countriesen_US
dc.subjectPanel data approachen_US
dc.titleThe impact of trade facilitation measures on economic growth - Empirical evidence from middleincome developing economiesen_US
dc.typeArticleen_US
Appears in Collections:Number 13 Déc 2020 / V 7 N 2

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