Skip to main content

Advertisement

Log in

Quantile relationship between financial development, income, price, CO2 emissions and renewable energy consumption: evidence from Nigeria

  • Original Paper
  • Published:
Letters in Spatial and Resource Sciences Aims and scope Submit manuscript

Abstract

One of the solutions to climate change is the adoption and use of renewable energy sources. This understanding has driven Nigerian stakeholders to set a goal of achieving net–zero emissions by 2060. Capitalizing on the limitations of existing literature, this study employs a Quantile–on–Quantile (QQ) and quantile regression approach to investigate the impact of financial development on renewable energy consumption in Nigeria from 1960–2018. In addition, this research uses GDP per capita, energy price, and CO2 emissions as moderating variables to eliminate omitted variable bias. The outcome of the QQ technique showed that financial development supplies mixed shocks (positive and negative) to renewable energy consumption. The negative shocks are highly negative. The quantile regression result also showed that financial development influences renewable energy consumption negatively at the lower quantile (0.10–0.20) and the upper quantile (0.80–0.90). The policy implications are discussed for Nigeria.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Availability of data and material

Data used in this study is annual data from 1960 – 2018. The variables used are renewable energy consumption (% of total final energy consumption) (REN), GDP Per Capita (Constant 2015 US$) (GDP), Consumer Price Index (2010 = 100) (PRI), and CO2 Emissions (kt) (COE). The dependent variable is REN while the other variables are independent variables. REN is the proxy for renewable energy consumption. GDP is the proxy for income. PRI is the proxy for energy price, while COE is the proxy for CO2 emissions. In addition, all data are sourced from World Bank (2018).

References

Download references

Acknowledgements

None.

Funding

There is no funding for this research.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mehdi Seraj.

Ethics declarations

Conflicts of interest

All authors have participated in (a) conception and design, or analysis and interpretation of the data; (b) drafting the article or revising it critically for important intellectual content; and (c) approval of the final version. This manuscript has not been submitted to, nor is under review at, another journal or other publishing venue. The authors have no affiliation with any organization with a direct or indirect financial interest in the subject matter discussed in the manuscript.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Somoye, O.A., Seraj, M., Ozdeser, H. et al. Quantile relationship between financial development, income, price, CO2 emissions and renewable energy consumption: evidence from Nigeria. Lett Spat Resour Sci 16, 2 (2023). https://doi.org/10.1007/s12076-023-00330-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12076-023-00330-2

Keywords

JEL Classification

Navigation