Ravishankar, G ORCID: https://orcid.org/0000-0002-9281-7207 and Stack, MM ORCID: https://orcid.org/0000-0002-9213-7607, 2014. The gravity model and trade efficiency: a stochastic frontier analysis of Eastern European countries' potential trade. The World Economy, 37 (5), pp. 690-704. ISSN 0378-5920
Preview |
Text
6843_Ravishankar.pdf - Post-print Download (359kB) | Preview |
Abstract
The opening up process of the eastern European countries is characterised by an increasing degree of trade integration with their Western neighbouring countries. Typically, the degree of East–West trade integration is assessed by comparing actual trade volumes with potential trade volumes projected from the gravity model parameters estimated for a group of countries that best represent normal trade relations. This approach, however, does not compare trade levels against a maximum level of trade feasible for the group of eastern European countries. This paper using a stochastic frontier specification of the gravity model is able to identify the efficiency of trade integration relative to maximum potential levels. The findings, based on a panel data set of bilateral exports from 17 Western European countries to the 10 new member states over the 1994–2007 period, indicate a high degree of East–West trade integration close to two-thirds of frontier estimates, suggesting a low degree of trade resistances.
Item Type: | Journal article |
---|---|
Alternative Title: | Foreign direct investment performance: a stochastic frontier analysis of location and variance determinants |
Publication Title: | The World Economy |
Creators: | Ravishankar, G. and Stack, M.M. |
Publisher: | Wiley-Blackwell |
Date: | May 2014 |
Volume: | 37 |
Number: | 5 |
ISSN: | 0378-5920 |
Identifiers: | Number Type 10.1111/twec.12144 DOI |
Divisions: | Schools > Nottingham Business School |
Record created by: | Jonathan Gallacher |
Date Added: | 12 Dec 2016 09:42 |
Last Modified: | 04 Oct 2017 09:39 |
URI: | https://irep.ntu.ac.uk/id/eprint/29322 |
Actions (login required)
Edit View |
Statistics
Views
Views per month over past year
Downloads
Downloads per month over past year