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Low-Carbon Energy Risk and Renewable Energy Development: Insigths from Method of Moments Quantile Regression

Year: 2025
Type: article
Abstract: The current work investigates the effect of low-carbon energy risk on renewable energy development for the first time in the literature. The annual data used in the work contains the sample of 137 countries. For the empirical estimations, Method of Moments Quantile Regression (MMQR) is applied, considering the heteroscedastic nature of the data and energy markets as well. The results provide valuable findings that a decrease in low- carbon energy risk leads to a rise in renewable energy across all the quantiles. Moreover, the results remain robust when the sample is divided into developed and developing countries, further validating theoretical linkage. Policymakers should consider the components of low-carbon energy risk in the decision-making process to enhance renewable energy development.
DOI: 10.32479/ijeep.18882
Authors: Feruz Kalandarov, Samariddin Makhmudov, Dilshad Ibadullaev, Murodjon Matniyozov, Farangis Nasretdinova, Khamid Sabirov, Nu'monkhon Bahodirov
Institutions: Urgench State University, Alfraganus University, Termez University of Economics and Service, Mamun University, Urganch RANCH Texnologiya Universiteti, Ferghana Polytechnical Institute
Language: English
Open Access status: gold
Estimated APC paid: $590
OpenAlex ID: W4409629157
FWCI: 3.788
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Cited by: 4
Related to: 10