Relationships between economic growth, energy consumption, globalization, urbanization and environmental degradation in Turkey

Mehmet Akif Destek · Ferda Nakıpoğlu Özsoy

87 citations0/0 files storedInternational Journal of Energy and Statistics

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Energy, Environment, Economic Growth Environmental Impact and Sustainability Vehicle emissions and performance

Abstract

In this study, it is aimed to analyze the effects of energy consumption, globalization and urbanization level on the environmental indicators together with the validity of the EKC hypothesis in Turkey. Accordingly, it is benefited from the ARDL bound test approach and asymmetric causality tests and the validity of the EKC hypothesis in Turkey is supported. In addition, it is concluded that the economic growth, energy consumption, urbanization level, globalization and CO2 variables are co-integrated. And in the asymmetric causality test results, it is seen that the energy consumption and economic growth led to environmental degradations, but on the other hand, economic globalization decreased the CO2 emission.

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References

2001Bounds testing approaches to the analysis of level relationships 1988Testing for a Unit Root in Time Series Regression 1994Economic Growth and the Environment 2019Economic Growth and Income Inequality 1995Statistical inference in vector autoregressions with possibly integrated processes 2001LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power 2012An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis 2009An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey

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2022Are globalization, urbanization, and energy consumption cause carbon emissions in SAARC region? New evidence from CS-ARDL approach 2021Deindustrialization, reindustrialization and environmental degradation: Evidence from ecological footprint of Turkey 2021Globalization, renewable energy consumption, and agricultural production impacts on ecological footprint in emerging countries: using quantile regression approach

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