Revealing the energy paradox: Assessing the asymmetric impact of pandemic uncertainty on consumption of renewable and nonrenewable energy.

IF 3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Risk Analysis Pub Date : 2024-06-01 Epub Date: 2023-10-11 DOI:10.1111/risa.14235
Tsung-Xian Lin, Tsung-Te Lin, Sajid Ali, Raima Nazar, Muhammad Khalid Anser
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Abstract

Uncertainties have grown around the world during the last few decades. Pandemic uncertainty has a substantial impact on economic activities, which may have a big influence on energy consumption. The goal of this investigation is to appraise the asymmetric influence of pandemic uncertainty on nonrenewable and renewable energy consumption in the top 10 energy consumer economies of the European Union (Germany, Poland, Spain, Netherlands, France, Italy, Belgium, Sweden, Czech Republic, and Finland). Previously, panel data approaches were utilized to obtain reliable outcomes on the pandemic-energy consumption nexus, regardless of the fact that various nations did not autonomously exhibit similar relationship. This investigation, on the other hand, implements a special technique "Quantile-on-Quantile" that supports us to appraise time-series interdependence in each economy by providing international yet nation-specific perceptions of the connection among the variables. Estimates show that pandemic uncertainty reduces both nonrenewable and renewable energy consumption in most selected nations at stated quantiles of the data distribution. Nonrenewable energy consumption is much more influenced by pandemic uncertainty than renewable energy consumption. Furthermore, the rank of asymmetries across our variables differentiates by the economy, emphasizing the need for decisionmakers to pay much attention to pandemics-related uncertainty and the energy sector.

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揭示能源悖论:评估疫情不确定性对可再生和不可再生能源消费的不对称影响。
在过去的几十年里,世界各地的不确定性越来越大。流行病的不确定性对经济活动产生了重大影响,而经济活动可能对能源消耗产生重大影响。本调查的目的是评估疫情不确定性对欧盟前十大能源消费经济体(德国、波兰、西班牙、荷兰、法国、意大利、比利时、瑞典、捷克共和国和芬兰)不可再生能源和可再生能源消费的非对称影响。此前,小组数据方法被用来获得关于疫情能源消耗关系的可靠结果,尽管各国并没有自主表现出类似的关系。另一方面,这项调查采用了一种特殊的技术“量化器对量化器”,通过提供国际上但具体国家对变量之间联系的看法,支持我们评估每个经济体的时间序列相互依存性。据估计,疫情的不确定性在数据分布的规定分位数上降低了大多数选定国家的不可再生能源和可再生能源消耗。与可再生能源消费相比,不可再生能源消费更容易受到疫情不确定性的影响。此外,我们变量之间的不对称程度因经济而异,强调决策者需要高度关注与流行病相关的不确定性和能源部门。
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来源期刊
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
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