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. 2016 Jul;23(14):14646-55.
doi: 10.1007/s11356-016-6632-2. Epub 2016 Apr 12.

An investigation on the determinants of carbon emissions for OECD countries: empirical evidence from panel models robust to heterogeneity and cross-sectional dependence

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An investigation on the determinants of carbon emissions for OECD countries: empirical evidence from panel models robust to heterogeneity and cross-sectional dependence

Eyup Dogan et al. Environ Sci Pollut Res Int. 2016 Jul.

Abstract

This empirical study analyzes the impacts of real income, energy consumption, financial development and trade openness on CO2 emissions for the OECD countries in the Environmental Kuznets Curve (EKC) model by using panel econometric approaches that consider issues of heterogeneity and cross-sectional dependence. Results from the Pesaran CD test, the Pesaran-Yamagata's homogeneity test, the CADF and the CIPS unit root tests, the LM bootstrap cointegration test, the DSUR estimator, and the Emirmahmutoglu-Kose Granger causality test indicate that (i) the panel time-series data are heterogeneous and cross-sectionally dependent; (ii) CO2 emissions, real income, the quadratic income, energy consumption, financial development and openness are integrated of order one; (iii) the analyzed data are cointegrated; (iv) the EKC hypothesis is validated for the OECD countries; (v) increases in openness and financial development mitigate the level of emissions whereas energy consumption contributes to carbon emissions; (vi) a variety of Granger causal relationship is detected among the analyzed variables; and (vii) empirical results and policy recommendations are accurate and efficient since panel econometric models used in this study account for heterogeneity and cross-sectional dependence in their estimation procedures.

Keywords: Carbon emissions; Cross-sectional dependence; EKC model; Heterogeneity; OECD.

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References

    1. Environ Sci Pollut Res Int. 2015 Oct;22(20):15663-76 - PubMed
    1. Environ Sci Pollut Res Int. 2015 Nov;22(21):16652-63 - PubMed
    1. Environ Sci Pollut Res Int. 2016 Jan;23(2):1203-13 - PubMed

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