Abstract

Given recent environmental reforms and the focus on the problem of climate change, it is necessary to evaluate whether green growth and environmental taxes can reduce CO2 emissions for countries. Even though a number of studies have analysed the ways to reduce environmental pollution, the literature lacks enough evidence for the role of green growth and environmental taxes in determining the level of carbon emissions. Therefore, the objective of the empirical analysis is to estimate the impacts on CO2 emissions of green growth and environmental taxes by including sustainable indicators for a group of 25 environmentally friendly countries from 1994 to 2018 by applying advanced panel data analysis models. By applying the novel quantile regressions on the largest amount of available data from 1994 to 2018, this article shows that the coefficients of green growth, environmental taxes, renewable energy and energy efficiency are negative at lower, medium and higher quantiles. According to the results of the quantile regression, environmental taxes, renewable energy and energy efficiency are key factors in decreasing CO2 emissions. Overall, renewable energy should be given greater priority through research supports, subsidies and government incentives while environmental taxes should be more implemented to discourage activities that promote pollution.

Details

Title
A way forward in reducing carbon emissions in environmentally friendly countries: the role of green growth and environmental taxes
Author
Dogan, Eyup 1   VIAFID ORCID Logo  ; Hodžić, Sabina 2 ; Šikić, Tanja Fatur 3 

 College of Business Administration, University of Sharjah, Sharjah, UAE; Department of Economics, Abdullah Gul University, Kayseri, Turkey 
 Department of Public Finance, University of Rijeka, Faculty of Tourism and Hospitality Management, Opatija, Croatia 
 Department of Public Finance, Faculty of Tourism and Hospitality Management, University of Rijeka, Opatija, Croatia 
Pages
5879-5894
Publication year
2022
Publication date
Dec 2022
Publisher
Taylor & Francis Ltd.
ISSN
1331677X
e-ISSN
18489664
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2755974378
Copyright
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.