动荡时期的可持续性:分析绿色债券在经济政策不确定情况下的适应力

IF 3.9 3区 环境科学与生态学 Q1 ENGINEERING, CIVIL
Xichen Liu, Sajid Ali, Raima Nazar, Muhammad Saeed Meo
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引用次数: 0

摘要

在经济政策存在不确定性的情况下,承认绿色债券是稳定工具,强调了应对气候变化的必要性。现有研究评估了经济政策不确定性对十大绿色债券发行国(中国、美国、西班牙、法国、日本、加拿大、德国、荷兰、英国和瑞典)绿色债券的非对称影响。以往的研究主要使用面板数据方法来探究经济政策不确定性与绿色债券之间的相关性,但往往忽略了不同经济体之间的独特差异。与此相反,我们的方法采用了 "量化对量化 "方法,为每个经济体提供了一个全面的全球视角,但同时又符合各国国情。研究显示,在大多数选定的经济体中,与经济政策不确定性相关的绿色债券价格在不同的量化水平上都有显著下降。此外,我们的研究结果还强调了不同国家变量之间联系的差异。这些发现强调,政策制定者必须进行全面评估并采取有效策略,以管理经济政策不确定性和绿色债券在各个层面的波动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sustainability in shaky times: analysing the resilience of green bonds amid economic policy uncertainty

Amid economic policy uncertainty, recognizing green bonds as stabilizing instruments underscores the imperative to address climate change. Existing research assesses the asymmetric effect of economic policy uncertainty on green bonds in the top 10 green bond-issuing countries (China, USA, Spain, France, Japan, Canada, Germany, the Netherlands, the UK, and Sweden). While past investigations have predominantly used panel data methodologies to probe the correlation between economic policy uncertainty and green bonds, it often overlooked the unique disparities among various economies. Contrarily, our approach utilizes the ‘Quantile-on-Quantile’ methodology, which offers a comprehensive global yet country-specific viewpoint for each economy. The study reveals a significant reduction in green bond prices associated with economic policy uncertainty across various quantile levels in most selected economies. Furthermore, our findings underscore the discrepancies in the connections among our variables across different countries. These discoveries stress that policymakers must manage thorough assessments and execute efficient tactics to manage fluctuations in economic policy uncertainty and green bonds at various levels.

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来源期刊
CiteScore
7.10
自引率
9.50%
发文量
189
审稿时长
3.8 months
期刊介绍: Stochastic Environmental Research and Risk Assessment (SERRA) will publish research papers, reviews and technical notes on stochastic and probabilistic approaches to environmental sciences and engineering, including interactions of earth and atmospheric environments with people and ecosystems. The basic idea is to bring together research papers on stochastic modelling in various fields of environmental sciences and to provide an interdisciplinary forum for the exchange of ideas, for communicating on issues that cut across disciplinary barriers, and for the dissemination of stochastic techniques used in different fields to the community of interested researchers. Original contributions will be considered dealing with modelling (theoretical and computational), measurements and instrumentation in one or more of the following topical areas: - Spatiotemporal analysis and mapping of natural processes. - Enviroinformatics. - Environmental risk assessment, reliability analysis and decision making. - Surface and subsurface hydrology and hydraulics. - Multiphase porous media domains and contaminant transport modelling. - Hazardous waste site characterization. - Stochastic turbulence and random hydrodynamic fields. - Chaotic and fractal systems. - Random waves and seafloor morphology. - Stochastic atmospheric and climate processes. - Air pollution and quality assessment research. - Modern geostatistics. - Mechanisms of pollutant formation, emission, exposure and absorption. - Physical, chemical and biological analysis of human exposure from single and multiple media and routes; control and protection. - Bioinformatics. - Probabilistic methods in ecology and population biology. - Epidemiological investigations. - Models using stochastic differential equations stochastic or partial differential equations. - Hazardous waste site characterization.
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