Wavelet analysis of impact of renewable energy consumption and technological innovation on CO2 emissions: evidence from Portugal

• Published in: Environmental science and pollution research international Vol. 29; no. 16; pp. 23887 - 23904
• Main Authors: Adebayo, Tomiwa Sunday, Oladipupo, Seun Damola, Adeshola, Ibrahim, Rjoub, Husam
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01-04-2022; Springer Nature B.V
• Subjects: Alternative energy sources; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Carbon dioxide; Carbon dioxide emissions; Coherence; Continuous wavelet transform; Earth and Environmental Science; Economic analysis; Economic development; Economic growth; Economics; Ecotoxicology; Emissions; Energy consumption; Environment; Environmental Chemistry; Environmental Health; Environmental science; Frequency analysis; Frequency domain analysis; Impact analysis; Innovations; Morlet wavelet; Renewable energy sources; Renewable resources; Research Article; Technological change; Time domain analysis; Waste Water Technology; Water Management; Water Pollution Control; Wavelet analysis; Wavelet transforms; Portugal; Technological innovation; CO; Economic growth; emissions; Renewable energy consumption; Partial and multiple wavelet coherence
• ISSN: 0944-1344; 1614-7499
• DOI: 10.1007/s11356-021-17708-8

This paper uncover a new perception of the dynamic interconnection between CO
2
emission and economic growth, renewable energy use, trade openness, and technological innovation in the Portuguese economy utilizing innovative Morlet wavelet analysis. The research applied continuous wavelet transform, wavelet correlation, the multiple and partial wavelet coherence, and frequency domain causality analyses are applied on variables of investigation using dataset between 1980 and 2019. The result of these analyses disclosed that the interconnection among the indicators progresses over time and frequency. The present analysis finds notable wavelet coherence and significant lead and lag interconnections in the frequency domain, while conflicting relationships among the variables are found in the time domain. The wavelet analysis according to economic viewpoint affirms that renewable energy consumption helps to curb CO
2
while trade openness, technological innovation, and economic growth contribute to CO
2
. The outcomes also proposed that renewable energy consumption decreases CO
2
in medium and long run in Portugal. Therefore, policymakers in Portugal should stimulate investment in renewable energy sources, establish restrictive laws, and enhance energy innovation.