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While there is a vast body of literature on environmental sustainability, the disaggregated impact of major non-renewable energy (NRE) consumption on the environmental sustainability of the United States (U.S.) is understudied, particularly in terms of using a load capacity factor (LCF) perspective. In this study, the above research gap is addressed using a dynamic autoregressive distributed lag (DYNARDL) model to analyze the heterogeneous impact of NRE consumption on the environmental sustainability of the U.S. from 1961 to 2022. Given the U.S.'s heavy reliance on energy consumption from NRE sources, this analysis provides an in-depth examination of the long-term effects of this energy consumption on the environment. Based on the analysis of the DYNARDL model, it is found that an increase of one unit of coal, natural gas, and petroleum energy consumption reduces environmental sustainability by 0.007, 0.006, and 0.008 units in the short-run and 0.006, 0.004, and 0.005 units in the long-run, respectively. However, one unit of nuclear energy consumption increases environmental sustainability by 0.007 units in the long-run. The kernel-based regularized system (KRLS) result reveals that coal and petroleum energy consumption have a significantly negative causal link with environmental sustainability, while nuclear energy consumption demonstrates a significant positive causal relationship. The research suggests the expansion of the use of nuclear energy by gradually reducing the utilization of coal and petroleum-based forms of energy, then natural gas, to improve environmental sustainability in the U.S., while considering the social and economic implications of efforts aimed at shifting away from the use of fossil fuels. [ABSTRACT FROM AUTHOR]

The study investigated how the changes in the hours spent at home during the COVID-19 pandemic affected the Tokyo Toyosu bluefin, bigeye, and yellowfin tuna markets. Applying the nonlinear autoregressive distributed lag (NARDL) price models for the three tuna products during the four state of emergency (SOE) periods between 2020 and 2021 in Tokyo, the study reveals that an increase in the hours of stay-at-home during the first SOE had an adverse impact on all three tuna prices in the long run. The study also finds that for the bluefin tuna, an increase in the hours of stay at home had a positive impact on price in the short run when the hours of stay at home were increasing during the first SOE. This suggests that there were times when household demand for bluefin tuna increased while people spent longer in their homes during the SOE period. [ABSTRACT FROM AUTHOR]