Muhammad Umar , Alexandra Horobet , Cristina Carmencita Negreanu , Lucian Belascu , Nawazish Mirza
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引用次数: 0
Abstract
This study examines the impact of Fintech adoption on energy intensity and renewable energy use in 29 European countries between 2000 and 2022, focusing on the moderating roles of innovation and artificial intelligence (AI). Using the Method of Moments Quantile Regression, panel threshold models, and Granger non-causality tests, we find that adopting Fintech solutions consistently reduces energy intensity, with more potent effects in countries with higher energy inefficiency. Fintech also promotes renewable energy use, especially in countries with lower renewable energy shares. The interaction between Fintech and innovation amplifies these beneficial effects, while AI development demonstrates distinct patterns across different energy intensity levels. Further, our findings reveal specific thresholds in Fintech adoption that mark significant changes in its effectiveness concerning energy outcomes. The study also uncovers contrasting effects of financial institutions' and markets' accessibility on energy outcomes, suggesting the need for structural reforms in European financial systems to support better the energy transition, with particular attention dedicated to consolidating financial markets.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.