{"title":"Impact of economic policy uncertainty on global carbon emissions","authors":"Saqib Farid, Quratulain Zafar","doi":"10.1016/j.rie.2024.100961","DOIUrl":null,"url":null,"abstract":"<div><p>The article aims to examine the potential effect of Economic Policy Uncertainty (EPU) on the mean and variance of carbon (CO2) emissions by employing a novel nonparametric causality-in-quantiles and quantile-on-quantile on the dataset comprising of 17 economies to test our hypothesis. The results of causality-in-quantiles find that EPU offers a significant yet mixed ability to impact the carbon emissions of most economies. These mixed patterns of impact pertain not only to mean and variance but also across regions. The results of quantile-on-quantile reveal that high EPU leads to an augmented level of carbon emissions. This causality may indicate that macroeconomic and institutional factors influence the carbon emission for all analyzed countries. These findings are particularly useful for practitioners, policymakers, academic researchers, and traders in the carbon market as they could promote the realization of carbon reductions targets by maintaining stable economic policies that have tangible ramifications for carbon emissions behavior.</p></div>","PeriodicalId":46094,"journal":{"name":"Research in Economics","volume":"78 2","pages":"Article 100961"},"PeriodicalIF":1.2000,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Economics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1090944324000255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
The article aims to examine the potential effect of Economic Policy Uncertainty (EPU) on the mean and variance of carbon (CO2) emissions by employing a novel nonparametric causality-in-quantiles and quantile-on-quantile on the dataset comprising of 17 economies to test our hypothesis. The results of causality-in-quantiles find that EPU offers a significant yet mixed ability to impact the carbon emissions of most economies. These mixed patterns of impact pertain not only to mean and variance but also across regions. The results of quantile-on-quantile reveal that high EPU leads to an augmented level of carbon emissions. This causality may indicate that macroeconomic and institutional factors influence the carbon emission for all analyzed countries. These findings are particularly useful for practitioners, policymakers, academic researchers, and traders in the carbon market as they could promote the realization of carbon reductions targets by maintaining stable economic policies that have tangible ramifications for carbon emissions behavior.
期刊介绍:
Established in 1947, Research in Economics is one of the oldest general-interest economics journals in the world and the main one among those based in Italy. The purpose of the journal is to select original theoretical and empirical articles that will have high impact on the debate in the social sciences; since 1947, it has published important research contributions on a wide range of topics. A summary of our editorial policy is this: the editors make a preliminary assessment of whether the results of a paper, if correct, are worth publishing. If so one of the associate editors reviews the paper: from the reviewer we expect to learn if the paper is understandable and coherent and - within reasonable bounds - the results are correct. We believe that long lags in publication and multiple demands for revision simply slow scientific progress. Our goal is to provide you a definitive answer within one month of submission. We give the editors one week to judge the overall contribution and if acceptable send your paper to an associate editor. We expect the associate editor to provide a more detailed evaluation within three weeks so that the editors can make a final decision before the month expires. In the (rare) case of a revision we allow four months and in the case of conditional acceptance we allow two months to submit the final version. In both cases we expect a cover letter explaining how you met the requirements. For conditional acceptance the editors will verify that the requirements were met. In the case of revision the original associate editor will do so. If the revision cannot be at least conditionally accepted it is rejected: there is no second revision.