Biomass energy and economic growth nexus in G7 countries: Evidence from dynamic panel data
Faik Bilgili and
Ilhan Ozturk
Renewable and Sustainable Energy Reviews, 2015, vol. 49, issue C, 132-138
Abstract:
The purpose of this paper is to reveal the long run dynamics of biomass energy consumption and GDP growth through homogeneous and heterogeneous variance structures for G7 countries. It covers annual data from 1980 to 2009. Panel unit root analyses, panel cointegration analyses, conventional OLS and dynamic OLS analyses are run throughout homogeneous and heterogeneous variance structures of the panel data to examine the relationship. The findings show that the long run elasticities of panel real GDP data in terms of panel capital stock, panel human capital index and panel biomass consumption are significant and positive. The results confirmed the growth hypothesis in which biomass energy consumption have positive effects on economic growth of G7 countries. As a policy implication, energy policies which improve the biomass energy infrastructure and biomass supply are the appropriate options for G7 countries since biomass energy consumption increases the economic growth.
Keywords: Biomass energy consumption; GDP growth; Homogeneous and heterogeneous variance structures; Panel data; G7 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (75)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032115003688
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:49:y:2015:i:c:p:132-138
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.2015.04.098
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 ().