Articles

  • Mar 10, 2025 | nature.com | Abdelmohsen A. Nassani |Nicoleta Dascalu |Radulescu Magdalena |Kamel Si Mohammed

    This study investigates the impact of Bitcoin’s energy and water consumption on environmental sustainability, focusing on the load capacity factor (LCF) and the roles of energy transition green technology in major cryptocurrency-producing nations. Utilizing the method of moments quantile regression (MMQR) approach, the findings reveal a negative impact of mining energy consumption on environmental sustainability, particularly in the lower quantiles, with a stronger negative effect in the higher quantiles. Energy transition plays a critical role in moderating this impact, though the shift towards cleaner energy sources has not been sufficient to mitigate the adverse environmental effects. The water footprint has limited influence on LCF across upper and lower quantiles. Moreover, the results do not support the LCF hypothesis. An increase in mining activity leads to a rise in LCF, while this effect turns negative in the 90th quantile. These findings underscore the importance of energy transition in reducing Bitcoin’s environmental footprint and emphasize the need for policymakers to swiftly enact regulations and foster innovative technologies to promote environmentally sustainable digital currencies while providing valuable insights into water resource management.

  • Nov 20, 2024 | nature.com | Arshad Ali |Magdalena Radulescu |Abdelmohsen A. Nassani |Guo Xiangyu

    China and the United States have the highest demand for fossil fuel energy for transportation and power generation, which promotes growth while also damaging the environment. Policymakers, and environmental scientists, are increasingly interested in understanding key strategies to improve energy efficiency to mitigate fossil fuel energy demand and sustain the environment and growth. In this context, this study uses augmented mean groups (AMG) and common correlated effects mean group (CCEMG) estimators to reveal the impact of China-US technological innovation, transportation infrastructure, and power generation on fossil fuel energy demand and fossil fuel energy intensity from 1995 to 2020. Besides, the study examines whether fossil fuel energy use and fossil fuel energy intensity are the main drivers of carbon dioxide emissions (CO2) and economic growth. The analysis results show that technological innovation has a strong adverse influence on fossil fuel energy use, and fossil fuel energy intensity. Electricity generation, road transport infrastructure investment and aviation infrastructure investment have considerably contributed to fossil fuel energy use, and fossil fuel energy intensity. The construction of rail transit infrastructure has significantly alleviated fossil fuel energy demand, and fossil fuel energy intensity. Fossil fuel energy use and fossil fuel energy intensity significantly contribute to carbon dioxide (CO2) emissions and economic growth. However, technological innovation and renewable energy use can substantially reduce carbon dioxide (CO2) emissions, while making a considerable contribution to economic growth. Based on empirical investigation, this study provides a series of useful insights into the sustainable development goals of the Chinese and American economies.

  • Jul 12, 2024 | frontiersin.org | Usman Mehmood |Abdelmohsen A. Nassani |Zhangfa Liu

    For sustainable development, the roles of energy efficiency and renewable energy is undeniable. We are passing through the era of globalization and economies...

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