The gravity model analysis of Bangladesh's trade: a panel data approach

Rahman, Mohammad Mafizur and Dutta, Dilip (2012) The gravity model analysis of Bangladesh's trade: a panel data approach. Journal of Asia Pacific Business , 13 (3). pp. 263-286. ISSN 1059-9231

Abstract

The article applies generalized gravity models to analyze Bangladesh's bilateral trade pattern using the panel data estimation technique. The results reveal that Bangladesh's trade is positively determined by the size of the economies, per capita gross domestic product differential and openness of the trading countries. Bangladesh's exports are positively determined by its income, partner countries' total import demand and openness, but negatively determined by partner countries' income and domestic inflation. Bangladesh's imports are positively determined by income of trading countries and degree of openness of the partner countries and negatively determined by partner countries' inflation. Transportation costs affect Bangladesh's trade negatively.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher copyright policy.
Depositing User: epEditor USQ
Faculty / Department / School: Historic - Faculty of Business and Law - School of Accounting and Finance
Date Deposited: 17 Sep 2012 04:02
Last Modified: 03 Jul 2013 01:17
Uncontrolled Keywords: Bangladesh; trade; gravity model; panel data
Fields of Research (FOR2008): 15 Commerce, Management, Tourism and Services > 1503 Business and Management > 150308 International Business
14 Economics > 1403 Econometrics > 140304 Panel Data Analysis
14 Economics > 1401 Economic Theory > 140102 Macroeconomic Theory
Socio-Economic Objective (SEO2008): B Economic Development > 91 Economic Framework > 9103 International Trade > 910399 International Trade not elsewhere classified
Identification Number or DOI: doi: 10.1080/10599231.2012.687616
URI: http://eprints.usq.edu.au/id/eprint/21670

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