Renewable energy consumption, International trade, oil price and economic growth inter-linkages: The case of Tunisia

Riadh Brini, Amara Mohamed () and Hatem Jemmali

Renewable and Sustainable Energy Reviews, 2017, vol. 76, issue C, 620-627

Abstract: This paper contributes to the small but growing literature on the linkages between renewable energy consumption, international trade, oil price and economic growth. It aims to investigate such dynamic relationships using the bounds testing approach to cointegration and the ARDL methodology for Tunisia over the period 1980–2011. The main empirical findings reveal the presence of a bidirectional relationship between renewable energy consumption and international trade in the short-run. Indeed, an increase in oil price may imply an increase of renewable energy consumption. Furthermore, a unidirectional relationship between renewable energy and oil price is proven in the short-run.

Keywords: Renewable energy consumption; International trade; Oil price; Economic growth; ARDL; Tunisia (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (56)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032117303866
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:76:y:2017:i:c:p:620-627

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic

DOI: 10.1016/j.rser.2017.03.067

Access Statistics for this article

Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski

More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().