气候变化领域集成服务门户(CCPortal): Rare disaster and renewable energy in the USA: new insights from wavelet coherence and rolling-window analysis

CCPortal

DOI	10.1007/s11069-020-04100-x
	Rare disaster and renewable energy in the USA: new insights from wavelet coherence and rolling-window analysis
	Sharif A.; Dogan E.; Aman A.; Khan H.H.A.; Zaighum I.
发表日期	2020
ISSN	0921030X
起始页码	2731
结束页码	2755
卷号	103 期号:3
英文摘要	The increasing trend of economic and political crises in different parts of the world has made global economies highly vulnerable because of having globally as well as regionally integrated economic systems. In such an environment, switching to alternative energy products, such as renewable energy production, may be devastating. Therefore, the aim of this paper is to provide novel insights for the relationship between rare disaster risks and renewable energy production (REN) of the USA by utilizing the time series monthly data from 1973 to 2016. Using time-varying continuous wavelet power spectrum, the wavelet coherence, and the modified bootstrap rolling-window analysis, the results reveal significant linkages between all the categories of rare disaster risks and renewable energy production. Rare disaster risks and REN are linked with each other, and both the variables have time-varying cyclic and anti-cyclic effects on each other with robust and significant predictability from rare disasters to REN. These findings have novel implications for many stakeholders. For instance, producers of energy may safely switch to renewable energy production since disasters are found to have potential to leave cyclic effect on renewable energy at most. © 2020, Springer Nature B.V.
关键词	Rare disaster Renewable energy production Rolling-window analysis Wavelet transformation
英文关键词	alternative energy; economic system; natural disaster; stakeholder; wavelet analysis; United States
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/205933
作者单位	Othman Yeop Abdullah Graduate School of Business, Universiti Utara Malaysia, Sintok, Kedah, Malaysia; Department of Business Administration, Eman Institute of Management and Sciences, Karachi, Pakistan; Department of Economics, Abdullah Gül University, Kayseri, Turkey; Assistance Professor, Department of Business Administration, Iqra University, Karachi, Pakistan; Faculty of Business and Management, Universiti Teknologi MARA, Merbok, Kedah 08400, Malaysia; Department of Management Sciences, Bahria University, Karachi, Pakistan
推荐引用方式 GB/T 7714	Sharif A.,Dogan E.,Aman A.,et al. Rare disaster and renewable energy in the USA: new insights from wavelet coherence and rolling-window analysis[J],2020,103(3).
APA	Sharif A.,Dogan E.,Aman A.,Khan H.H.A.,&Zaighum I..(2020).Rare disaster and renewable energy in the USA: new insights from wavelet coherence and rolling-window analysis.Natural Hazards,103(3).
MLA	Sharif A.,et al."Rare disaster and renewable energy in the USA: new insights from wavelet coherence and rolling-window analysis".Natural Hazards 103.3(2020).