Income, Financial Development and Environmental Pollution in ECOWAS: Evidence from Quantile Regression Approach
نویسندگان
چکیده
This study investigates the effect of income, financial development, and trade on carbon dioxide emissions covers annual sample period from 1990 to 2021 in ECOWAS. Preliminary test results indicate non-normality data, evidence slope heterogeneity, cross-sectional dependence verify long-run cointegration relationship among variables. situation allows us use a panel quantile regression method achieve objectives because it is useful outliers provides more reliable estimates for climate policies than FMOLS DOLS. The findings that development exerts negative significant CO2 at lower higher quantiles countries but not significantly middle quantiles. We also find positive all except 50th 90th. Furthermore, this examines validity EKC hypothesis. result indicates inverted U-shaped only with two last (80th 90th quantiles) high countries. Contrarily method, DOLS approaches validate hypothesis without considering data outliers, data.
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ژورنال
عنوان ژورنال: International Journal of Economics and Management Studies
سال: 2022
ISSN: ['2393-9125']
DOI: https://doi.org/10.14445/23939125/ijems-v9i10p101