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  • Küçük Resim
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    How does technological innovation affect the ecological footprint? Evidence from E-7 countries in the background of the SDGs
    (ELSEVIER SCI LTD, 125 London Wall, London EC2Y 5AS, ENGLAND, 2024) Dam, Mehmet Metin; Kaya, Funda; Bekun, Festus Victor
    Although technological innovation plays a critical role in promoting sustainable development and environmental sustainability, there are few studies in the existing literature that address this relationship. This study aimed to investigate the relationship between technological innovation (TI), renewable energy consumption (REC), natural resource rent (NRR) and ecological footprint (EF) of E-7 countries (i.e. Brazil, China, India, Indonesia, Mexico, Russia and Turkiye) from 1992 to 2018 in order to ensure environmental sustainability in the context of the Sustainable Development Goals (SDGs). Analysis was performed using the ARDL estimator, robustness test and Dumitrescu-Hurlin panel causality (DHC) test. Long-term empirical estimates from the PMG-ARDL technique have shown that a 1 % increase in TI and REC reduces EF by 0.064 % and 0.234 %, respectively, i.e. increases environmental sustainability. At this point, it is possible to say that TI and REC contribute to the achievement of SDG-7 and 13 in E-7 countries while NRR and real income (GDP) were found to impede the achievement of SDG7 and 13 in E-7 countries through an increase in EF. The results were confirmed using robustness techniques. In the DHC test results, while there is a unidirectional causality from TI to EF, from EF to NRR and trade openness, a bidirectional causality was found between GDP and EF. This study suggests that policymakers should focus on introducing environmentally friendly equipment to reduce environmental degradation, increase the share of RECs and focus on sustainable development within the framework of the SDGs.
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    On the nexus between real income, renewable energy consumption, and environmental sustainability on life expectancy for BRICS-T countries: Accessing evidence from quantile regression
    (Wiley, 2023) Dam, Mehmet M.; Kaya, Funda; Bekun, Festus Victor
    This study is aimed at establishing the impact of real income, renewable energy consumption, and carbon dioxide (CO2) emission on life expectancy for annual frequency data from 1990 to 2019 for BRICS-T (Brazil, Russia, India, China, South Africa, and Turkiye) economies. In addition, the effects of real income, renewable energy consumption, and life expectancy on CO2 emissions are given by establishing a second model. To this end, different econometric approaches such as fixed effects model, random effects model, panel quantile regression, and the Dumitrescu and Hurlin panel causality test were used. We found in our empirical evidence that renewable energy consumption and real income positively affect life expectancy. At the same time, it was seen that real income has a positive effect on CO2 emissions, but renewable energy consumption has a negative effect. According to the panel quantile regression analysis results, while the effect of income on life expectancy is similar to other estimation results, that of renewable energy consumption is different. However, the effect of renewable energy consumption and real income on CO2 emissions is similar to other estimation results. The findings of the study show that policy makers need to promote renewable energy in order to extend life expectancy which is an important determinant of economic growth.