Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/243597 
Year of Publication: 
2019
Citation: 
[Journal:] Energy Reports [ISSN:] 2352-4847 [Volume:] 5 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2019 [Pages:] 425-430
Publisher: 
Elsevier, Amsterdam
Abstract: 
This paper investigates the impacts of non-renewable consumption (NRE) and renewable energy consumption (RE) on industrial production (IP) in the US using monthly data from 2000:01 to 2018:02. To do so, the paper employs the nonlinear autoregressive distributed lag (NARDL) approach to examine asymmetric relationships, thus contributing to the past literature methodologically. The findings show that both non-renewable and renewable energy drive industrial growth in the US and that a certain asymmetric behaviour can be concluded: the impact of an increase in NRE on IP is greater than that of a decrease in NRE on IP, while the influence of an increase in RE on IP seems to be less than that of a decrease in RE on IP.
Subjects: 
Economic growth
Non-renewable energy consumption
Nonlinear autoregressive distributed lag approach
Renewable energy consumption
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article
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