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1.
Environ Sci Pollut Res Int ; 30(45): 100340-100359, 2023 Sep.
Article in English | MEDLINE | ID: mdl-37651012

ABSTRACT

While the acceleration of globalization in newly developing (emerging) economies contributes positively to economic developments on the one hand, it is a research topic that can have an impact on environmental pollution on the other hand. Therefore, this study analyzes the impact of globalization on environmental pollution for 14 emerging economies in the 1991-2018 period by including economic growth, financial development, renewable energy consumption, and urbanization in the ecological footprint model. In addition to the AMG forecaster, Driscoll-Kraay, PCSE, and FGLS estimation techniques are used for long-term forecasting. Causal linkages among variables are analyzed by the Dumitrescu-Hurlin panel bootstrap causality test. The findings show that the series are cointegrated, that is, a long-term relationship between the variables. In the long term, globalization and renewable energy consumption reduce environmental pollution, while economic growth and financial development play a role in encouraging environmental pollution. Causality analysis enumerates a causality from economic growth and financial development to environmental pollution, as well as a two-way causality between globalization and environmental pollution and renewable energy consumption and environmental pollution. Empirical findings can offer important implications for policies that will reduce environmental pollution in these countries.


Subject(s)
Economic Development , Urbanization , Carbon Dioxide , Renewable Energy , Internationality
2.
Environ Sci Pollut Res Int ; 29(43): 64647-64664, 2022 Sep.
Article in English | MEDLINE | ID: mdl-35478391

ABSTRACT

This study aims at investigating the dynamics of environmental degradation by focusing on the financial development-CO2 emissions link. In this purpose, economic growth, renewable energy consumption, trade openness and urbanization are integrated into the CO2 emissions model as other explanatory variables. In this study, 18 upper-middle-income countries with the highest growth rate in the world are examined for the period 1990-2018 by AMG method, which considers the cross-sectional dependence and slope heterogeneity. In addition, the causal linkages between variables are explored by Dumitrescu-Hurlin panel bootstrap causality technique. As a result of the study, it is found that financial development and renewable energy consumption reduce CO2 emissions. In addition, it is determined that economic growth, urbanization, and trade openness deteriorate the environmental quality. As a result of causality analysis, while one-way is found from renewable energy consumption to CO2 emissions, a bidirectional causality is observed between financial development and CO2 emissions. Empirical findings provide several policy suggestions that decrease CO2 emissions in these countries.


Subject(s)
Carbon Dioxide , Developing Countries , Cross-Sectional Studies , Economic Development , Renewable Energy
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