Journey toward affordable and modern energy: Role of income inequality and technological innovation

Abstract Promoting the shift toward clean and sustainable energy sources has been a key policy priority for the United Kingdom, as it is recognized as a critical pathway towards achieving carbon neutrality targets. Based on this, the study explored the impact of technological innovations, financial development, and income inequality on renewable energy consumption using data from 1980Q1 to 2021Q4. Taking into account the nonlinear and non‐normal distribution of the variables, the study employed wavelet‐based quantile techniques. Specifically, wavelet quantile ADF and PP tests were utilized to examine the stationarity properties of the data across different time horizons and quantiles. Additionally, wavelet quantile‐on‐quantile regression was used which focuses on various time horizons and quantiles. As a robustness check, wavelet quantile regression and average wavelet quantile‐on‐quantile regression were applied. The results revealed that across all time‐scales (short, medium and long‐term) and quantiles (0.1–0.90), economic growth, income inequality, and financial development positively influence renewable energy consumption. In addition, technological innovations were found to have mixed effect on renewable energy consumption. The study proposed policies based on these findings.

Authors

Institutions

Publication Details

Journal
Environmental Progress & Sustainable Energy
Published
2025-02-12
DOI
https://doi.org/10.1002/ep.14555
Citations
21
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
65.75
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Journey toward affordable and modern energy: Role of income inequality and technological innovation

Victoria Olushola Olanrewaju, Tomiwa Sunday Adebayo
21 citations
Environmental Progress & Sustainable Energy
Energy, Environment, Economic Growth
65.75
article

Journey toward affordable and modern energy: Role of income inequality and technological innovation

Victoria Olushola Olanrewaju, Tomiwa Sunday Adebayo
article en
21 citations

Abstract

Abstract Promoting the shift toward clean and sustainable energy sources has been a key policy priority for the United Kingdom, as it is recognized as a critical pathway towards achieving carbon neutrality targets. Based on this, the study explored the impact of technological innovations, financial development, and income inequality on renewable energy consumption using data from 1980Q1 to 2021Q4. Taking into account the nonlinear and non‐normal distribution of the variables, the study employed wavelet‐based quantile techniques. Specifically, wavelet quantile ADF and PP tests were utilized to examine the stationarity properties of the data across different time horizons and quantiles. Additionally, wavelet quantile‐on‐quantile regression was used which focuses on various time horizons and quantiles. As a robustness check, wavelet quantile regression and average wavelet quantile‐on‐quantile regression were applied. The results revealed that across all time‐scales (short, medium and long‐term) and quantiles (0.1–0.90), economic growth, income inequality, and financial development positively influence renewable energy consumption. In addition, technological innovations were found to have mixed effect on renewable energy consumption. The study proposed policies based on these findings.

Environmental Progress & Sustainable EnergyVol. 44(2)
European University of Lefke (TR), Azerbaijan State University of Economics (AZ), Near East University (CY)
Openalex Percentile: Top 0%
Energy, Environment, Economic Growth
65.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.