Journal of Cleaner Production, cilt.451, 2024 (SCI-Expanded)
The strive to lower reliance on fossil fuels and transition to clean energy sources necessitates innovations in energy storage. This study empirically investigates the effectiveness of energy storage innovations towards a greener environment on a global scale. To this end, we use quarterly frequency time series data on a global scale over the period 2000 to 2020 and the estimation techniques based on the nonparametric multivariate quantile on quantile regression (MQQR), multivariate quantile regression (MQR), and Kernel-based regularized least squares (KRLS). The empirical results reveal that energy storage innovation and nuclear energy are strongly related to a decline in carbon dioxide emissions (CO2e) but natural resources and oil consumption intensify the level of CO2e across quantiles. However, the effects of energy storage innovation, nuclear energy, natural resources, and oil consumption are heterogeneous leading to an asymmetric pattern across quantile distribution. The policy implication of this study is that, on a global scale, energy storage innovation and nuclear energy provide opportunities for attaining a greener environment and more environmentally sustainable future but natural resources and oil consumption impede policies toward a sustainable environment. Therefore, our study recommends, among other things, an aggressive boost of energy storage system and nuclear energy while decreasing reliance on fossil fuels.