Original scientific paper
https://doi.org/10.18045/zbefri.2016.2.309
Linear and nonlinear causality between renewable energy consumption and economic growth in the USA
Haiyun Xu
; School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China
Abstract
This study aims to investigate Granger causality between renewable energy
consumption (REC) and economic growth (EG) for USA. To accomplish this
objective and to add the stronger evidence to the controversial issue, the tests were
done under a new framework that embeds wavelet analysis, a novel tool, in
nonlinear causality test approaches developed recently. The classical linear
causality test procedure was also involved for comparison. The empirical data
sources from the USA Energy Information Administration and Economist
Intelligence Unit (EIU) CountryData database. Sample period is from January
1993 to October 2014. The results indicate significantly the existence of
unidirectional causality from EG to REC and support the conservation hypothesis.
In additional, further evidences show that the causal relationship among them is
not constant and depends on the time scale or frequency ranges, and that wavelet
analysis is an important aid to capture the nonlinear causality. This suggests that
renewable energy limitations do not seem to damage economic growth. These
results have implications of importance for research analysts as well as policy
makers of energy economy.
Keywords
Nonlinear Granger causality test; wavelet; renewable energy consumption; time scale, economic growth
Hrčak ID:
171139
URI
Publication date:
22.12.2016.
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