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    The role of environmental innovation on ecological footprint in nations with high technology exports concentrations in international trade
    (Elsevier, 2024) Ersin, Özgür Ömer; Ustabaş, Ayfer; Usman, Ojonugwa
    This study focuses on four major high-technology exporting countries––the USA, Germany, France, and China––to explore the long and short-run associations among ecological footprint, environmental technology patents, high-technology exports, and economic growth. The sample covering 1988–2019 is subject to a set of structural breaks, including 2009 Global Recession in addition to uncertainty in the order of integration captured by unit root tests, which provide basis for novel Fourier ARDL and Fourier Toda-Yamamoto causality methods. The Fourier ARDL findings reveal the importance of environmental technology innovations in dampening the level of ecological footprints and promoting a more sustainable environment in the USA, Germany, and France, whereas more high-technology exports in international trade worsen the ecological footprints in these countries in addition to the negative effects of economic growth in all countries including China. In contrast, high-technology exports appear to mitigate ecological footprint in China, however, eco-friendly technologies fail to reduce ecological footprints as in other analysed nations. The causality tests indicate bidirectional and unidirectional causal relationships among variables with the exception of China where the neutrality hypothesis holds between economic growth and ecological patents and also high-technology exports and ecological patents. These findings provide important insights in achieving sustainable development.
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    Towards low carbon and sustainable environment: does income inequality mitigate ecological footprints in Sub-Saharan Africa?
    (Springer, 2023) Gimba, Obadiah Jonathan; Alhassan, Abdulkareem; Ozdeser, Huseyin; Ghardallou, Wafa; Seraj, Mehdi; Usman, Ojonugwa
    This paper contributes to the literature on the environment-economic development nexus by examining whether higher income inequality mitigates environmental degradation in Sub-Saharan Africa for the period 1995-2018. The paper uses the second-generation panel data estimation techniques through the novel augmented Anderson-Hsiao (AAH) estimator. This method allows regressors to be self-instrumenting and efficient with panel data where the cross-sectional units are greater than time and remains valid even when errors are correlated. The result of the Westerlund cointegration confirms the existence of a long-run relationship. Also, the AAH estimation finds that a 1% increase in income inequality is associated with a 0.567 decline in environmental degradation. Furthermore, a rise in GDP per capita is linked to a reduction in environmental pollution. However, it does not validate the existence of the environmental Kuznets curve hypothesis. Population growth and urbanization were found to exacerbate environmental degradation while access to electricity enhances a sustainable environment. To ensure the robustness of the AAH estimation, the Pseudo-Poison Maximum Likelihood Estimator with the high dimensional fixed effects was used. The results showed that, although the effects were smaller, all the coefficients survived. Therefore, our findings substantiate the marginal propensity to emit hypothesis which posits that in economies with high inequality, there is the likelihood that a large proportion of the population would reduce their energy and other carbon-intensive consumption, which consequently improves environmental quality. Although this channel of reducing emissions is not sustainable as it comes with huge economic losses. Policy recommendations were provided.