Merchandise exports and economic growth: multivariate time series analysis for the United Arab Emirates

Article


Kalaitzi, A.S. and Chamberlain, T.W. 2020. Merchandise exports and economic growth: multivariate time series analysis for the United Arab Emirates. Journal of Applied Economics . 23 (1), pp. 163-182. https://doi.org/10.1080/15140326.2020.1722384
TypeArticle
TitleMerchandise exports and economic growth: multivariate time series analysis for the United Arab Emirates
AuthorsKalaitzi, A.S. and Chamberlain, T.W.
Abstract

This paper examines the validity of the export-led growth (ELG) hypothesis in the United Arab Emirates (UAE) over the period 1975–2012, using a neoclassical production function augmented with merchandise exports and imports of goods and services. The study applies the Johansen cointegration technique and dynamic ordinary least squares (DOLS) regression to confirm the existence of a long-run relationship between exports and economic growth, while the multivariate Granger causality test is applied to examine the direction of the short-run causality. In addition, the existence of long-run causality is investigated by applying a modified version of the Wald test in an augmented vector autoregressive model. The Johansen test and DOLS results confirm the existence of a long-run relationship between exports and economic growth. In addition, the study provides evidence to support the validity of the ELG hypothesis in the short-run, while no long-run causality is found to exist.

KeywordsExports; economic growth; UAE; Granger causality
Sustainable Development Goals9 Industry, innovation and infrastructure
8 Decent work and economic growth
17 Partnerships for the goals
Middlesex University ThemeSustainability
PublisherTaylor & Francis (Routledge)
JournalJournal of Applied Economics
ISSN1514-0326
Electronic1667-6726
Publication dates
Online23 Feb 2020
Print01 Jan 2020
Publication process dates
Submitted06 Jan 2019
Accepted21 Jan 2020
Deposited13 Jun 2025
Output statusPublished
Publisher's version
License
File Access Level
Open
Copyright Statement

© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Digital Object Identifier (DOI)https://doi.org/10.1080/15140326.2020.1722384
Web of Science identifierWOS:000517101900001
LanguageEnglish
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