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The Role of Technology in the Impact of Non-Renewable Energy Consumption on Ecological Resilience: Application of Threshold Structural Vector Autoregression (TSVAR) Model

Tehranchian, Amirmansour and Roudari, Soheil and Khabbaz, Seyedeh Mahsa (2025): The Role of Technology in the Impact of Non-Renewable Energy Consumption on Ecological Resilience: Application of Threshold Structural Vector Autoregression (TSVAR) Model. Published in: Environmental Energy and Economic Research , Vol. 9, No. 4 (5 September 2025): pp. 1-11.

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Abstract

New technologies play an increasingly vital role in managing energy resources and enhancing environmental sustainability. Given the significant challenges posed by the use of non-renewable energy sources, it is essential to examine how technology can mitigate their consumption and promote ecological resilience. This study investigates the asymmetric effects of non-renewable energy consumption on ecological resilience through technological influence in Iran over the period 1990–2022, using the Threshold Structural Vector Autoregression (TSVAR) model. The results reveal a threshold of 0.171% for the growth rate of non-renewable energy consumption, beyond which the impact on ecological resilience differs substantially. The study finds that the ecological response varies depending on whether energy consumption is above or below this threshold. These findings underscore the importance of integrating advanced technologies and digital solutions into the energy sector. Policy implications include prioritizing technological innovation and smart energy systems to improve efficiency, reduce reliance on fossil fuels, and ultimately strengthen ecological resilience across multiple dimensions.

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