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可再生能源消费和技术创新对碳排放影响的小波分析:来自葡萄牙的证据。

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

作者信息

Adebayo Tomiwa Sunday, Oladipupo Seun Damola, Adeshola Ibrahim, Rjoub Husam

机构信息

Department of Business Administration, Faculty of Economics and Administrative Science, Cyprus International University, 99040, Nicosia, Turkey.

Department of Earth Science, Faculty of Science, Olabisi Onabanjo University, Ago-Iwoye, Ogun State, Nigeria.

出版信息

Environ Sci Pollut Res Int. 2022 Apr;29(16):23887-23904. doi: 10.1007/s11356-021-17708-8. Epub 2021 Nov 24.

DOI:10.1007/s11356-021-17708-8
PMID:34817815
Abstract

This paper uncover a new perception of the dynamic interconnection between CO 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 while trade openness, technological innovation, and economic growth contribute to CO. The outcomes also proposed that renewable energy consumption decreases CO 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.

摘要

本文利用创新的Morlet小波分析,揭示了葡萄牙经济中一氧化碳排放与经济增长、可再生能源利用、贸易开放度和技术创新之间动态相互联系的新认知。该研究对1980年至2019年数据集的调查变量应用了连续小波变换、小波相关性、多重和偏小波相干性以及频域因果分析。这些分析结果表明,指标之间的相互联系随时间和频率而发展。当前分析在频域中发现了显著的小波相干性以及显著的超前和滞后相互联系,而在时域中发现变量之间存在相互矛盾的关系。从经济角度进行的小波分析证实,可再生能源消费有助于抑制一氧化碳排放,而贸易开放度、技术创新和经济增长则导致一氧化碳排放增加。研究结果还表明,从长期来看,可再生能源消费在葡萄牙能够减少一氧化碳排放。因此,葡萄牙的政策制定者应刺激对可再生能源的投资,制定严格的法律,并加强能源创新。

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