Xichen Liu, Sajid Ali, Raima Nazar, Muhammad Saeed Meo
{"title":"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","authors":"Xichen Liu, Sajid Ali, Raima Nazar, Muhammad Saeed Meo","doi":"10.1007/s00477-024-02702-6","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":21987,"journal":{"name":"Stochastic Environmental Research and Risk Assessment","volume":"22 1","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sustainability in shaky times: analysing the resilience of green bonds amid economic policy uncertainty\",\"authors\":\"Xichen Liu, Sajid Ali, Raima Nazar, Muhammad Saeed Meo\",\"doi\":\"10.1007/s00477-024-02702-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":21987,\"journal\":{\"name\":\"Stochastic Environmental Research and Risk Assessment\",\"volume\":\"22 1\",\"pages\":\"\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Stochastic Environmental Research and Risk Assessment\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1007/s00477-024-02702-6\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastic Environmental Research and Risk Assessment","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s00477-024-02702-6","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
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.
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.