Abstract
This research investigates how the USA's load capacity factor (LCF) has been impacted by trade openness, financial development, stock market capitalization, and industrialization over the period 1990–2022. This study also tests the “Load Capacity Curve (LCC)” hypothesis. Various unit root tests were conducted to determine the stationarity of the dataset, revealing that the variables are free from unit root problems and exhibit mixed orders of integration. The “Autoregressive Distributed Lag (ARDL)” bounds test confirmed co-integration among the variables. The results from the ARDL model validated the existence of the LCC hypothesis in the USA. The findings also demonstrated that industrialization is positively correlated with LCF, whereas financial development, stock market capitalization, and trade openness are negatively correlated with LCF. To ensure the robustness of the ARDL estimations, the study also employed several regressions, all of which confirmed the validity of the ARDL results. Additionally, pairwise Granger causality tests revealed unidirectional causal relationships between GDP and LCF, stock market capitalization and LCF, and industrialization and LCF, while no causal relationships were found between financial development and LCF and trade openness and LCF. The findings advocate that the USA should advance eco-friendly industrial practices to ensure environmental sustainability, alongside regulated financial markets and institutions that mandate the utilization of green investments.
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1 Noakhali Science and Technology University, Department of Economics, Noakhali, Bangladesh (GRID:grid.449503.f) (ISNI:0000 0004 1798 7083)
2 University of Dhaka, Department of Finance, Dhaka, Bangladesh (GRID:grid.8198.8) (ISNI:0000 0001 1498 6059)
3 Texas State University, Department of Agricultural Sciences, San Marcos, USA (GRID:grid.264772.2) (ISNI:0000 0001 0682 245X); Jadara University Research Center, Jadara University, Irbid, Jordan (GRID:grid.449338.1) (ISNI:0000 0004 0645 5794)
4 Airlangga University, Faculty of Economics and Business, Surabaya, Indonesia (GRID:grid.440745.6) (ISNI:0000 0001 0152 762X)




