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Dynamic impacts of economic growth, energy use, urbanization, tourism, agricultural value-added, and forested area on carbon dioxide emissions in Brazil

Dynamic impacts of economic growth, energy use, urbanization, tourism, agricultural value-added,... Global climate change caused by greenhouse gases (GHGs), particularly carbon dioxide (CO2) emissions, poses incomparable threats to human life, the environment, and development. The present study empirically investigates the dynamic impacts of economic growth, fossil fuel energy use, renewable energy use, urbanization, tourism, agricultural value-added, and forested area on CO2 emissions in Brazil. Time series data from 1990 to 2019 were utilized by applying the autoregressive distributed lag (ARDL) bounds testing approach followed by the dynamic ordinary least squares (DOLS) method. The DOLS estimate findings reveal that economic growth, fossil fuel energy use, urbanization, tourism, and agricultural value-added cause environmental degradation by increasing CO2 emissions in Brazil while increasing renewable energy use and forested areas help to mitigate the CO2 emissions in Brazil. The estimated results are robust to alternative estimators such as fully modified least squares (FMOLS) and canonical cointegrating regression (CCR). In addition, the pairwise Granger causality test is utilized to capture the causal linkage between the variables. This article put forward policy recommendations toward sustainable development by establishing strong regulatory policy instruments to mitigation of CO2 emissions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Environmental Studies and Sciences Springer Journals

Dynamic impacts of economic growth, energy use, urbanization, tourism, agricultural value-added, and forested area on carbon dioxide emissions in Brazil

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References (70)

Publisher
Springer Journals
Copyright
Copyright © AESS 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
ISSN
2190-6483
eISSN
2190-6491
DOI
10.1007/s13412-022-00782-w
Publisher site
See Article on Publisher Site

Abstract

Global climate change caused by greenhouse gases (GHGs), particularly carbon dioxide (CO2) emissions, poses incomparable threats to human life, the environment, and development. The present study empirically investigates the dynamic impacts of economic growth, fossil fuel energy use, renewable energy use, urbanization, tourism, agricultural value-added, and forested area on CO2 emissions in Brazil. Time series data from 1990 to 2019 were utilized by applying the autoregressive distributed lag (ARDL) bounds testing approach followed by the dynamic ordinary least squares (DOLS) method. The DOLS estimate findings reveal that economic growth, fossil fuel energy use, urbanization, tourism, and agricultural value-added cause environmental degradation by increasing CO2 emissions in Brazil while increasing renewable energy use and forested areas help to mitigate the CO2 emissions in Brazil. The estimated results are robust to alternative estimators such as fully modified least squares (FMOLS) and canonical cointegrating regression (CCR). In addition, the pairwise Granger causality test is utilized to capture the causal linkage between the variables. This article put forward policy recommendations toward sustainable development by establishing strong regulatory policy instruments to mitigation of CO2 emissions.

Journal

Journal of Environmental Studies and SciencesSpringer Journals

Published: Dec 1, 2022

Keywords: Climate change; Environmental degradation; CO2 emissions; Sustainable development; Brazil

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