An Econometric Investigation of How the Usage of Non-Renewable Energy Resources Affects the Load Capacity Factor in the United States

• DOI: 10.56946/jeee.v1i2.482
• Publication Date: 2025-02-20T07:45:06Z
• Authors: Filiz Guneysu Atasoy; Murat Atasoy; Asif Raihan; Khayruzzaman; Mohammad Ridwan; Tipon Tanchangya; Junaid Rahman; Md. Shoaibur Rahman; Md. Zia Uddin Foisal; Babla Mohajan; Samanta Islam; Arindrajit Paul; Abdullah Al Jubayed
• Keywords: Econometric model; Econometric analysis

A substantial body of studies exists regarding the consequences significant non-renewable energy usage on ecosystem health. Nonetheless, a research deficit in examining nexus within United States by utilizing load capacity factor (LCF) as an indicator environmental sustainability. The current study addresses identified gap employing autoregressive distributed lag (ARDL) method to examine influences use condition States, data from 1965 2022. This analysis delivers deeper understanding long-term impacts coal, gas, oil, and nuclear utilization LCF, considering States' dependence derived resources. ARDL model reveals that 1% rise oil adoption results reduction LCF 0.14%, 0.12%, 0.16%, respectively, short-term 0.08%, 0.10%. However, increase would enhance 0.02% short term 0.13% long term. advocates for increased through gradual diminishment gas sustainability natural health while taking into account social economic ramifications transitioning fossil fuels.