The risk paradox: Exploring asymmetric nexus between climate policy uncertainty and renewable energy technology budgets.

IF 3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Risk Analysis Pub Date : 2024-11-01 Epub Date: 2024-05-22 DOI:10.1111/risa.14315
Ming Zhou, Junkai Wang, Muhammad Imdad Ullah, Sajid Ali
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引用次数: 0

Abstract

The ups and downs of climate policy uncertainty (CPU) cast a captivating shadow over the budgets allocated to renewable energy (RE) technologies, where strategic choices and risk assessment will determine the course of our green environmental revolution. The main intention of this investigation is to scrutinize the effect of CPU on the RE technology budgets (RETBs) in the top 10 countries with the highest RE research and development budgets (the USA, China, South Korea, India, Germany, the United Kingdom, France, Japan, Australia, and Italy). Although former researchers have typically employed panel data tools to contemplate the connection between CPU and RE technology, they repeatedly ignored variations in this connection throughout different economies. In contrast, our research adopts a unique approach, "quantile-on-quantile," to check this association at the country-to-country level. This approach offers a comprehensive worldwide perspective while procuring tailor-made perceptions for individual economies. The outcomes suggest that CPU significantly decreases RETBs across several data quantiles in our sample nations. In addition, the outcomes underscore that the connections between our variables differ among nations. These outcomes highlight the significance of policymakers implementing thorough appraisals and skillfully governing plans relevant to CPU and RETBs.

风险悖论:探索气候政策不确定性与可再生能源技术预算之间的不对称关系。
气候政策不确定性(CPU)的起伏给分配给可再生能源(RE)技术的预算投下了迷人的阴影,而战略选择和风险评估将决定我们绿色环保革命的进程。这项调查的主要目的是研究 CPU 对可再生能源研发预算最高的前 10 个国家(美国、中国、韩国、印度、德国、英国、法国、日本、澳大利亚和意大利)的可再生能源技术预算(RETBs)的影响。尽管前人通常采用面板数据工具来研究中央处理器与可再生能源技术之间的联系,但他们一再忽视了这种联系在不同经济体中的差异。相比之下,我们的研究采用了一种独特的方法,即 "量化对量化",在国家对国家的层面上检验这种关联。这种方法既能提供全面的全球视角,又能为各个经济体提供量身定制的看法。研究结果表明,在我们的样本国家中,中央处理器在多个数据量位上都能显著降低 RETB。此外,研究结果还强调,不同国家变量之间的联系也不尽相同。这些结果凸显了政策制定者对中央政策组和 RETB 实施全面评估和巧妙管理计划的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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