4.6 Article

Globalization, institutional quality, economic growth and CO2 emission in OECD countries: An analysis with GMM and quantile regression

Journal

FRONTIERS IN ENVIRONMENTAL SCIENCE
Volume 10, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fenvs.2022.967050

Keywords

economic growth; institutional quality; globalization; renewable energy consumption; quantile regression

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This research used the dynamic panel model and QR to examine the effect of globalization, institutional quality, economic growth, electricity consumption, and renewable energy consumption on carbon dioxide emission in thirty-six OECD countries from 1991 to 2018. The findings suggest that renewable energy consumption, globalization, and institutional quality negatively affect carbon dioxide emission, helping to reduce it. On the other hand, electricity consumption and economic growth contribute to climate and environmental loss.
This research used the dynamic panel model and QR (Quantile Regression) to examine the effect of globalization (GB), Institutional Quality (IQ), Economic Growth (EG), Electricity Consumption (EC), and Renewable Energy (RE) consumption on Carbon dioxide (CO2) emission from 1991 to 2018 in thirty-six (OCED) countries. Panel unit root tests have been employed to examine the stationarity of the study variables; the results, which included the Harris and Tzavalis (Journal of econometrics, 1999, 91 (2), 201-226) and Levin et al. (Journal of Econometrics, 2002, 108 (1), 1-24) tests, indicate that all of the variables used are a combination of I (0) and I(I). Cointegration in the study variables has been examined using the cointegration tests devised by Westerlund, Kao, and Pedroni; the results suggest that cointegration exists in the research variables. Findings of the one-step difference GMM, One-step system GMM and two-step system GMM reveal that RE consumption, GB, and IQ negatively affect the CO2 emission in (selected OECD) countries that help to reduce CO2 excretion. In contrast, EC consumption and EG become responsible for the climatic and environmental loss. Further, this study checked the robustness by using SQR (Simultaneous quantile regression) and PQR (Panel Quantile Regression). The evaluated study findings of QR (Quantile Regression) reveal that RE consumption, GB, and IQ help to reduce the CO2 emission while EG and EC consumption becomes responsible for the climatic and environmental loss. Further recommendations are suggested based on the findings.

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