The causal effects of trade and technology transfer on human capital and economic growth in the United Arab Emirates

Article


Kalaitzi, A.S. 2018. The causal effects of trade and technology transfer on human capital and economic growth in the United Arab Emirates. Sustainability. 10 (5), pp. 1-15. https://doi.org/10.3390/su10051535
TypeArticle
TitleThe causal effects of trade and technology transfer on human capital and economic growth in the United Arab Emirates
AuthorsKalaitzi, A.S.
Abstract

This research empirically investigates the causality between trade, technology, human capital and economic growth in the United Arab Emirates (UAE) over the period 1980–2016. To investigate the existence of a long-run relationship between the variables, this study performs the Johansen cointegration test, while the direction of the short-run causality is examined by applying the Granger causality test in a Vector Error Correction Model (VECM) framework. Moreover, a modified Wald test in an augmented Vector Autoregressive Model is applied in order to find the direction of the long-run causality. This research provides evidence to support a short-run bi-directional causality between primary imports and economic growth, while an indirect causality runs from manufactured imports and human capital to economic growth, through exports and primary imports. Empirical results do not provide evidence of either an Import-Led growth (ILG) or Export-Led Growth (ELG) hypothesis in the long-run, while no causality runs from primary imports, manufactured imports or exports to human capital.

KeywordsTechnology transfer; Export diversification; Human capital; Economic growth
Sustainable Development Goals9 Industry, innovation and infrastructure
8 Decent work and economic growth
17 Partnerships for the goals
Middlesex University ThemeSustainability
PublisherMDPI AG
JournalSustainability
ISSN
Electronic2071-1050
Publication dates
Online11 May 2018
PrintMay 2018
Publication process dates
Submitted28 Feb 2018
Accepted13 Apr 2018
Deposited13 Jun 2025
Output statusPublished
Publisher's version
License
File Access Level
Open
Copyright Statement

© 2018 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)

Digital Object Identifier (DOI)https://doi.org/10.3390/su10051535
LanguageEnglish
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