标题：Wavelet Analysis of Renewable, Non-renewable Energy Consumption and Environmental Degradation as a Precursor to Economic Growth: Evidence from Malaysia
期刊名称：International Journal of Energy Economics and Policy
电子版ISSN：2146-4553
出版年度：2020
卷号：10
期号：3
页码：182-189
DOI：10.32479/ijeep.9173
出版社：EconJournals
摘要：The present study utilized continuous wavelet power range, and wavelet coherence power range estimations to analyze the relationship among renewable energy consumption, non-renewable energy consumption and environmental degradation by taking about quarterly data for the time of 1997(1) to 2017(4). Moreover, the consequences of wavelet coherence affirm that ENG and CO 2 emission have a bi-directional causal association with one another in the medium run and a uni-directional causal relationship where ENC is driving in a short run era. However, we found no proof of a causal relationship in a long and long run period. Finally, the aftereffects of wavelet coherence affirm that RENE and CO 2 emission have a bi-directional causal association with one another in short run and a uni-directional causal relationship where CO 2 emission is driving in medium run day and age. Nonetheless, we found a proof of a uni-directional causal relationship in a long and long run period where causality is running from renewable energy consumption to environmental degradation in Malaysia.
关键词：Renewable energy consumption;environmental degradation;continuous wavelet transform;wavelet coherence;Malaysia
