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      The influence of renewable energy usage on consumption-based carbon emissions in MINT economies

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          Abstract

          An accurate carbon emissions measurement is critical for developing an appropriate climate strategy to address ecological issues. A meaningful climate policy reaction can be offered based on trade adjusted statistics of carbon emissions. This research utilizes second-generation panel co-integration techniques to investigate the influence of globalization and renewable energy utilization on consumption-based carbon emissions (CCO 2) as well as the role of nonrenewable energy use and economic growth in the MINT-(Mexico, Indonesia, Nigeria and Turkey) countries from 1990 to 2018. The outcomes of the cross-sectional dependency and heterogeneity tests revealed slope heterogeneity and cross-sectional units across nations. Furthermore, the outcomes of the cointegration test provided evidence of a long-run association between consumption-based CO 2 emissions (CCCO 2) and the regressors. Moreover, the outcomes of both common correlated effect mean group ( CCEMG) and augmented mean group (AMG) unveiled that economic growth and nonrenewable energy utilization contribute to the degradation of the environment, while globalization and renewable energy utilization help to curb the degradation of the environment. Furthermore, the outcomes of the causality test showed that all the regressors can predict CCO 2 emissions in the MINT nations. Thus, policy channeled towards globalization, economic growth, and renewable energy utilization will have a significant effect on CCO 2 emissions. Based on the study outcomes, significant policy recommendations are made for policymakers in the MINT nations.

          Abstract

          Consumption-based carbon emissions; Globalization; Renewable Energy; Economic Growth; MINT Economies.

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          Most cited references68

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          Testing for Error Correction in Panel Data

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            Testing slope homogeneity in large panels

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              Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure

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                Author and article information

                Contributors
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                16 February 2022
                February 2022
                16 February 2022
                : 8
                : 2
                : e08941
                Affiliations
                [a ]Department of Business Administration, Faculty of Economics and Administrative Science, Cyprus International University, 99040 Nicosia, Turkey
                [b ]Department of Finance & Accounting, Akfa University, Tashkent, Uzbekistan
                [c ]Faculty of Economics and Administrative Science, Department of Economics, Near East University, Northern Cyprus, TR-10 Mersin, Turkey
                [d ]Department of Accounting and Finance, Faculty of Economics and Administrative Sciences, Cyprus International University, Mersin 10, 99040 Haspolat, Turkey
                [e ]Department of Nuclear and Renewable Energy, Ural Federal University Named after the First President of Russia Boris, 19 Mira Street, Ekaterinburg, 620002 Yeltsin, Russia
                [f ]Faculty of Economics and Administrative Sciences, Department of Banking and Finance, European University of Lefke, Northern Cyprus TR-10, Mersin, Turkey
                Author notes
                []Corresponding author. agyekumephraim@ 123456yahoo.com
                Article
                S2405-8440(22)00229-8 e08941
                10.1016/j.heliyon.2022.e08941
                8861394
                35243063
                c809c217-7c59-499c-93e4-6bfb99efebdb
                © 2022 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 17 September 2021
                : 15 December 2021
                : 8 February 2022
                Categories
                Research Article

                consumption-based carbon emissions,globalization,renewable energy,economic growth,mint economies

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