The Russian Federation's renewable energy development determinants: evidence from empirical research

Abstract

Purpose

The Russian Federation is one of the world’s largest exporters of fossil-based energy sources such as oil, natural gas and coal. Approximately 90% of the energy production in the Russian Federation consists of oil, natural gas and coal. Renewable energy (RE) in the Russian Federation mainly comprises hydroelectric energy. The purpose of this paper is to identify the factors that influenced the growth of RE resources in the Russian Federation between 1990 and 2020.

Design/methodology/approach

The unit root tests augmented Dickey and Fuller and Phillips and Perron, as well as Johansen cointegration and Granger causality approaches, were used. This study was conducted using vector error correction models for the years 1990–2020.

Findings

The cointegration method's findings demonstrate that while a rise in non-RE sources has a negative impact on RE development, an increase in income, energy consumption, trade openness and CO₂ emissions has a favorable impact on RE expansion. The vector error correction model Granger causality test also shows a unidirectional relationship between RE and non-RE sources, gross domestic product, energy consumption and CO₂ emissions. Trade openness, on the other hand, has no causal association with RE.

Practical implications

The Russian Federation must consider the practical implications of RE sources. However, there is a greater need for the Russian Federation to frame sound energy policies for RE development.

Originality/value

This paper aims to fill a gap in the literature on Russian RE development. Furthermore, the results of the methodological analysis can be used to guide policymakers in the field of RE development. This paper is also more policy-relevant and is quite useful in the context of sustainable energy development.

Citation

Kilinc-Ata, N. and Dolmatov, I. (2023), "The Russian Federation's renewable energy development determinants: evidence from empirical research", International Journal of Energy Sector Management, Vol. 17 No. 4, pp. 779-800. https://doi.org/10.1108/IJESM-04-2022-0018