Environmental tax and global income inequality: A method of moments quantile regression analysis

dc.contributor.authorHalidu, O.B.
dc.contributor.authorMohammed, A.
dc.contributor.authorWilliam, C.
dc.date.accessioned2024-08-22T17:59:50Z
dc.date.available2024-08-22T17:59:50Z
dc.date.issued2023
dc.descriptionResearch Articleen_US
dc.description.abstractEven though Environmental tax policy impacts inequality theoretically, empirical studies remain scanty not only in the context of volumes and the estimation approaches but are also focused on selected advanced countries, communities, households, and emerging countries, the neglect of the global or big picture effect, which is essential for measuring the overall effect of the collective and individual country-concerted efforts in addressing this global cancer. We provide empirical evidence in the global context using the novel method of moments quantile regression. We found that Income Inequality across the globe is sharply reduced by restrictive environmental tax policy, a finding that has ramifications for global sustainable development, particularly in dealing with the ravaging effects of Covid-19.en_US
dc.identifier.otherhttps://doi.org/10.1080/23311975.2023.2181139
dc.identifier.urihttps://ugspace.ug.edu.gh/handle/123456789/42394
dc.language.isoenen_US
dc.publisherCogent Business & Managementen_US
dc.subjectGlobal Inequalityen_US
dc.subjectEnvironmental Taxen_US
dc.subjectIncome levelen_US
dc.titleEnvironmental tax and global income inequality: A method of moments quantile regression analysisen_US
dc.typeArticleen_US

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